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Journal of Traffic and Transactions Engineering（English Edition）

Journal of Traffic and Transactions Engineering（English Edition）

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《交通运输工程学报（英文版）》是由中华人民共和国教育部主管，长安大学主办，国务院学位委员会交通运输工程学科评议组、西南交通大学与东南大学共同协办，为交通运输工程一级学科服务的学术性期刊。
  • 发文量：367
  • 被引量：73
  • H指数：0
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  • 国内刊号/CN：61-1494/U
    国际刊号/ISSN：2095-7564
  • 发行周期：双月刊
    邮发代号：52-305
  • 主管单位：中华人民共和国教育部
    主办单位：长安大学
Journal of Traffic and Transactions Engineering（English Edition）-联系信息
  • 主编：Richard Kim
  • 电话：029-82334384
  • 邮箱：JTTE2014@126.com;JTTE@chd.edu.cn
  • 地址：陕西省西安市南二环路中段长安大学杂志社
  • 邮编：710064
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Journal of Traffic and Transactions Engineering（English Edition） >2023年第1期

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  • 摘要：The crumb rubber obtained from discarded vehicle tires and graphene oxide prepared by oxidation of graphite powder in laboratory were used to modify virgin bitumen. Four different hot mix asphalt matrices prepared using virgin bitumen, crumb rubber modified bitumen, graphene oxide modified bitumen and combination of crumb rubber-graphene oxide modified bitumen are compared. The modified bitumen matrices are characterised by Fourier transform infrared spectroscopy and scanning electron microscopy for structural and morphological analysis. Marshall properties along with indirect tensile test and tensile strength ratio tests were carried out to check the resistance towards cracking and moisture susceptibility of matrices. The results show that, crumb rubber and graphene oxide are completely compatible with bitumen. 9.8% crumb rubber content in crumb rubber modified bitumen hot mix asphalt exhibits the optimum result. The performance of graphene oxide modified bitumen hot mix asphalt exhibits superior performance in comparison to control mix and crumb rubber modified bitumen hot mix asphalt samples.The enhanced properties of modified bitumen hot mix asphalt with the combining effect of graphene oxide and crumb rubber, are suitable for road construction.
  • 摘要：A hot-mix asphalt(HMA) overlay is one of the primary strategy for rehabilitating existing HMA pavements and Portland cement concrete(PCC) pavements. The current design program, FAARFIELD, does not address reflective cracking for asphalt-overlaid concrete pavements due to its mechanism complexity. The bending, shearing, and thermal are three crucial factors to successfully model reflective cracking. To implement this failure mode in flexible over rigid design procedure, a series of full-scale test pavements were constructed, instrumented, and tested in the condition of extreme cooling temperature at the FAA National Airport Pavement Test Facility. The purpose was to assess cooling effects on the propagation of reflection cracks for airport AC over PCC pavements. In preparation for reflective cracking phase VI test, the FAA is conducting laboratory experiment on field extracted hot mix asphalt(HMA) cores. In order to test these field HMA cores, the Texas Overlay Tester(OT) was customized to get data similar to the full-scale tests. This paper discusses finite element analysis on the full-scale testing, development of the customized Texas OT, and a laboratory testing suite using the customized Texas OT, including preliminary tests, instrumentation, experiment design, and test results. Data obtained from this research effort will be used to develop a rational testing procedure to simulate extreme cooling cycles through full-scale testing.
  • 摘要：Nowadays, the disposal of end-of-life tires(ELT) is worldwide one of the major concerns for the environment as well as for public health. Crumb rubber and steel wires, the main byproducts(in terms of weight) deriving from the ELT processing, can be recycled in several ways. However, the textile fiber, representing about 10% of the waste by weight, is typically not reused and ends up in landfills or incinerators. The present paper deals with the use of reclaimed fibers from ELT in hot mix asphalt(HMA), with the aim to improve its performance. The study included the preliminary characterization of the fiber through microscope observation and Fourier trans form infrared(FTIR) spectroscopy and then the investigation of the mechanical properties of HMA containing ELT fibers, in comparison with an ordinary HMA with no fibers. In particular, indirect tensile strength(ITS), indirect tensile stiffness modulus(ITSM), semi-circular bending(SCB), three point bending(3PB)and indirect tensile fatigue(ITF) tests were carried out. The results showed that the use of ELT fibers does not reflect in a significant improvement in terms of strength and stiffness properties. However, the ELT fibers determine a noticeable increase of the HMA resistance to fatigue, probably related to the ability of the fibers in sewing the micro-crack edges and contrasting the macro-crack opening.
  • 摘要：The textile industry is a pioneer in the industrialization process in Brazil and is relevant to the Brazilian economy. However, it also generates as operational residue a solid waste,commonly called textile sludge. Pavement construction, which mobilizes large volumes of soil, constitutes an alternative to the reuse of residue, especially when stabilization is involved. The use of stabilized soils with the addition of waste can provide technical,economic and environmentally friendly advantages. This research aimed to study the use of chemical stabilization technique with sludge and three additives(lime, cement and asphalt emulsion) applied in base and subbase of pavements. The scope of this study was divided into four phases, i) characterization tests, ii) physical stabilization, iii) chemical stabilization and determination of heavy metals in the sludge, and iv) addition of 10% of textile sludge and chemical stabilizers(lime, cement, and asphalt emulsion) in amounts of 3%, 5% and 7% as additives in a soil, based on the results obtained in the second phase. Test results indicated that the stabilization of mixtures of soil with textile sludge has the potential to be used in pavement layers(base and subbase). The addition of cement promotes the best chemical stabilization for the sludge. The use of textile sludge stabilization presents greater environmental benefits, given the malfunctions and problems that the incorrect waste disposal can cause to the environment.
  • 摘要：The construction of expressways has a variety of impacts on the ecologically fragile and sensitive Three-River Headwater Region and causes changes in the structure and carrying capacity of the ecosystem. To assess the impact of expressway construction on the ecological carrying capacity of the regional natural system, net primary productivity(NPP)was used as the quantitative index to indicate the efficiency of the regional ecological environment to fix and transform photosynthesis products. In this study, trend analysis and buffer zone analysis were used to quantitatively analyze the spatial and temporal characteristics of NPP in the study area from 2006 to 2015 based on the MOD17A3/NPP dataset. In addition, the spatial-temporal effects of expressway and interchange construction on NPP in buffer zones were studied using GIS spatial analysis. The summarized results are as follows.(1) The multi-year average NPP in the study area is 137.9 gC/m~2,indicating a slight downward trend;spatially, the overall NPP shows a downward trend from east to west.(2) The impact of expressway construction on NPP in buffer zones will last for more than two years, generally presenting greater NPP further from the expressway.(3) After completion of the interchange, the NPP decreases significantly within its radiation radius;at a distance of 6 km, the NPP gradually stabilizes.(4) The influence law of expressway construction and interchange construction on NPP is approximately the same in the respective buffer zones.
  • 摘要：Home-to-school routes are very sensitive areas: they represent, for children, a learning tool for their everyday activities, but if poorly designed, maintained and equipped they can expose them to traffic risks. Sidewalks'' inappropriate level of service and poor maintenance, especially, are main factors contributing to walking unsuitability, thus to poor comfort and safety levels for young pedestrians, and more in general for all the vulnerable non-motorized road users. This paper deals with a methodology specifically developed to highlight the quality of the urban environment where the home-to-school routes are located, according to four main criteria: wellbeing, usage, appearance, and safety and security. Each criterion is associated with a checklist including the most relevant features to assess, with a focus on maintenance as a key parameter to create safe and comfortable routes to school. An application, a case study in Rome, where the lack of regular maintenance results into a network of unsafe sidewalks, is also presented, analyzing three different areas where a number of schools are located. Detours when approaching school premises were surveyed, due to the levels of distresses and linked to the poor comfort and safety levels. As the mutual influence of built environment over road safety and maintenance requirements for home-to-school paths is not largely investigated thus far, the paper''s goal is to provide advanced knowledge for studies and applications further afield.
  • 摘要：Introduction Types of paper Contributions falling into the following categories will be considered for publication:Original research papers,Reviews,Short communication.Please ensure that you select the appropriate article type from the list of options when making your submission.Authors contributing to special issues should ensure that they select the special issue article type from this list.
  • 摘要：The most salient problems of transit vehicle service in Latin American intermediate cities include:the high number of passengers involved in traffic accidents;traffic congestion caused by transit vehicles,and pollution generated by these vehicles,which increases in high congestion scenarios.To improve upon this situation,a research was conducted on the transit vehicle tracking service,which is a basic service for implementing mobility solutions for the aforementioned problems,the most relevant characteristics of this service for the context of Latin American intermediate cities were identified,and an implementation was proposed.This paper presents the four stages of the study:(a)a review of the state-of-the-art of services or systems related to vehicle tracking,including wireless communications technologies,implemented sustainability approaches,usage of special algorithms for efficiency improvement,and the intelligent transportation system(ITS)architecture used as a basis;(b)the process of identifying relevant characteristics of the service for a given context;(c)proposal of an ITS architecture for this service in an intermediate city,its requirements and the suggested technologies;and(d)development of experiments for validating usage of the key suggested technologies.The review allowed to identify the main service characteristics,with regard to vehicle positioning technologies,the recommended wireless communication technology(long range,LoRa),energy consumption considerations,and use of artificial intelligence(AI)to calculate waiting time of users at bus stops.Finally,an ITS architecture for the city of Popayan(Colombian city)considering the aforementioned characteristics is proposed,and the experiments related to the use of these technologies are described in detail.
  • 摘要：Recently,the development and application of lane line departure warning systems have been in the market.For any of the systems,the key part of lane line tracking,lane line identification,or lane line departure warning is whether it can accurately and quickly detect lane lines.Since 1990 s,they have been studied and implemented for the situations defined by the good viewing conditions and the clear lane markings on road.After then,the accuracy for particular situations,the robustness for a wide range of scenarios,time efficiency and integration into higher-order tasks define visual lane line detection and tracking as a continuing research subject.At present,these kinds of lane marking line detection methods based on machine vision and image processing can be divided into two categories:the traditional image processing and semantic segmentation(includes deep learning)methods.The former mainly involves feature-based and model-based steps,and which can be classified into similarity-and discontinuity-based ones;and the model-based step includes different parametric straight line,curve or pattern models.The semantic segmentation includes different machine learning,neural network and deep learning methods,which is the new trend for the research and application of lane line departure warning systems.This paper describes and analyzes the lane line departure warning systems,image processing algorithms and semantic segmentation methods for lane line detection.
  • 摘要：Road safety modeling is a valuable strategy for promoting safe mobility,enabling the development of crash prediction models(CPM)and the investigation of factors contributing to crash occurrence.This modeling has traditionally used statistical techniques despite acknowledging the limitations of this kind of approach(specific assumptions and prior definition of the link functions),which provides an opportunity to explore alternatives such as the use of machine learning(ML)techniques.This study reviews papers that used ML techniques for the development of CPM.A systematic literature review protocol was conducted,that resulted in the analysis of papers and their systematization.Three types of models were identified:crash frequency,crash classification by severity,and crash frequency and severity.The first is a regression problem,the second,a classificatory one and the third can be approached either as a combination of the preceding two or as a regression model for the expected number of crashes by severity levels.The main groups of techniques used for these purposes are nearest neighbor classification,decision trees,evolutionary algorithms,support-vector machine,and artificial neural networks.The last one is used in many kinds of approaches given the ability to deal with both regression and classification problems,and also multivariate response models.This paper also presents the main performance metrics used to evaluate the models and compares the results,showing the clear superiority of the ML-based models over the statistical ones.In addition,it identifies the main explanatory variables used in the models,which shows the predominance of road-environmental aspects as the most important factors contributing to crash occurrence.The review fulfilled its objective,identifying the various approaches and the main research characteristics,limitations,and opportunities,and also highlighting the potential of the usage of ML in crash analyses.
  • 摘要：In the usage phase,diesel engines fuelled with diesel-biodiesel blends produced lower soot,HC and CO emissions.However,the environmental effects should include the greenhouse gas(GHG)emissions.GHG variations of biodiesel production from three generation feedstocks were analyzed based on the land use change(LUC).Adequate land use change could keep the biodiversity and did not cause the increase of GHG emissions.The choice for feedstocks of biodiesel in China was comprehensively analyzed based on the land use type,the precipitation and the oil contents and the cultivation conditions of plants.Then,the suggestions for biodiesel development in China were given.Results showed that China should thoroughly abandon the first generation feedstocks due to the lack of arable land.Jatropha curcas(J.curcas),Pistacia chinensis Bunge(P.chinensis),Comus wilsoniana(C.wilsoniana)and Xanthoceras sorbifolium Bunge(X.sorbifolium)were considered as the most promising feedstocks for biodiesel production.It is suggested to plant X.sorbifolium in sand lands in the north and northwest of China with less natural rainfall and the others in south and southwest of China.The concern for microalgae should be transmitted to engineering microalgae cultivated in wastewater.The microalgae biodiesel refinery should be developed together with wastewater proposal industry and coal fired power plants.Lastly,only natural gas-based or biomass-based methanol can be used for biodiesel production.
  • 摘要：Time-dependent models are of great importance in highway engineering as they are appropriate for evaluating waiting times and queue lengths at intersections,which are integral parts of various activities in planning,verification and decision support for infrastructure.After reviewing the literature of the main time-dependent models based on the coordinate transformation method and a discussion about some computational issues in time-evolution profiles for non-signalised intersections,the paper identifies the requirements these models have to satisfy in order to be used as"basic"cases for analysing complex evolutionary situations.Three"basic"cases are presented with their timedependent equations for vehicle waiting times and vehicle number;they have been completed and dimensionally homogenised in this paper.As they are recursive,these formulas can be applied for sequential intervals in the time domain in both vehicles and passenger car units.The closed-form expressions for state variables show to be mutually equivalent in comparison with discrete event simulation models and imbedded Markov chain results.For all the three models the paper presents a common deterministic simplification for average waiting time,with good approximation results in the tested cases.The proposed time-dependent formulas will contribute to a better adherence to the real phenomena,compared to the extremely simplified and unrealistic methods suggested by the international manuals for level of service assessment.The proposed formulas will be useful for current applications and possible future development in order to meet the emerging needs of road and transport engineering.
  • 摘要：The pedestrian crossing speed is one of the important factors in pedestrian crossing facility design.Research studies have shown that the pedestrian crossing speed is influenced by availability of green time at signalized crosswalks and pedestrian characteristics such as gender and age.However,the effects of vehicular time gap and additional pedestrian behavioural characteristics on pedestrian crossing speed patterns have not been examined at unprotected(un-signalized)mid-block crosswalks.The present study examines the pedestrian crossing speed change patterns considering the effect of vehicular time gap and pedestrian behavioural characteristics such as rolling behaviour,path change,etc.,at selected unprotected mid-block crosswalk locations under mixed traffic conditions in India.Video graphic survey has been conducted at eight selected unprotected mid-block crosswalk locations in Mumbai City for two to three hours duration during normal weather conditions.The data was mined using AVS video editor software,and the extracted data includes pedestrian speed,pedestrian characteristics(gender and age),pedestrian behaviour(rolling behaviour,path change,etc.),vehicle characteristics(type and speed of the vehicle)and traffic characteristics.Pedestrian crossing speed change patterns(whether pedestrian is changing speed or not while crossing a road)was considered as a binary variable and a logistic regression model was developed with vehicular gaps and other pedestrian behavioural characteristics as independent variables.The results revealed that there is a reduction in pedestrian crossing speed change behaviour with an increase in vehicular gap size at unprotected mid-block crosswalks.The younger pedestrians have more probability of exhibiting crossing speed change patterns as compared to the elderly pedestrians at mid-block crosswalks.Further,it is identified that there is an increase in pedestrian crossing speed with increase in vehicle speed as well as heavy vehicle type.Pedestrian behavioural characteristics also have a significant influence on crossing speed.The study findings would provide useful information to designers and policy makers for design of pedestrian crossing facility under mixed traffic conditions.
  • 摘要：The traffic of overloaded trucks is a critical problem in highways.It affects pavement performance life,reduces the service life of bridges,and has a negative impact on road safety,average speed and level of service.There are several practices to prevent the truck overloading issue,i.e.,enforcement activities to verify the truck’s compliance with the legal weight limits.This paper investigates the development of a method that uses available weigh-in-motion(WIM)data to identify overloaded truck weight and travel patterns.The proposed approach is based on regression trees method,a simple and easily understandable analytic tool used to build prediction models from a large set of data.An overall analysis of the overloaded truck regression tree model shows that the most important variable to classify and predict overloading is the truck type.Regarding the axle overloading,the most significant variable is the time of the day(most of the overloaded trucks travel at late night or early morning).The regression tree results can be used to optimize the efficiency of administration activities by planning truck enforcement operations based on the more critical scenarios.Also,the results improve the knowledge about the load characteristics of trucks,which can lead to more effective pavement management systems and more assertive pavement structure designs.
  • 摘要：In India,the majority of urban roads are undivided where the behavior of flows in a particular direction is predominantly influenced by the opposing traffic.Due to lack of lane segregation,the vehicles in ongoing direction occupy the opposing lane,which increases the lateral interactions between vehicles.These lateral interactions are influenced by various parameters such as vehicle types,driver behavior and vehicular speeds.Study of such complex interactions plays an important role in evaluating various management measures using microscopic simulation models.The lateral characteristics of vehicles,such as placement,separation and movement,act as necessary input for simulation models.The present study aims to analyze and model the lateral characteristics of vehicles on two-lane urban undivided roads.To achieve this,traffic flow data were collected from an urban undivided mid-block section in Bangalore City,India,using video graphic technique.Multiple linear regression model was developed for predicting the lateral placement of subject vehicle and it was found that lateral placement of subject vehicle is influenced by types and speeds of subject and opposing vehicles.Lateral separation for different types of ongoing(subject)and opposing pairs was also analyzed.The results show that both the ongoing and opposing vehicles have less freedom to move laterally when their sizes increase and hence,lateral separation decreases.The choice of path of vehicles’lateral shifts(left,current and right)on urban undivided roads was modeled using multinomial logistic regression.Lateral shift of a vehicle is influenced by speeds of subject vehicle and leader vehicle in current path,speed of leader vehicle in target path,and lateral gap between leader vehicles in current path and target path.
  • 摘要：Introduction Types of paper Contributions falling into the following categories will be considered for publication:Original research papers,Reviews,Short communication.Please ensure that you select the appropriate article type from the list of options when making your submission.Authors contributing to special issues should ensure that they select the special issue article type from this list.
  • 摘要：Roundabouts are very useful when flows are balanced but can have operational challenges when flows increase.Most roundabouts on arterial roadways in Ghana experience recurring congestion during peak traffic.The four roundabouts between Ejisu Municipality and Asokwa Municipality on the N6 highway are typical of the situation found on arterials countrywide.They experience recurring long queues and delays during the peak hours and over-representation of truck rollover accidents.In Ghana,historically,most roundabouts with capacity problems have been developed into interchanges at very high cost without consideration of other effective at-grade configurations.When roundabouts are signalized,various configurations can be explored to enhance capacity while preserving the safety benefits.Using simulation techniques,various configurations and design options were tested for their effectiveness at two of the roundabouts,located at KNUST police station and Ejisu,with similar demand and high left turning volumes.The objectives of this study were to a)evaluate the performance of the selected roundabouts on the corridor;b)explore alternative intersection configurations to improve capacity and delay.Using video data collection techniques,2-h time stamped footages of AM and PM peak traffic flows were captured for two days.Geometric design parameters of the existing roundabouts,queue lengths,travel times,and approach flows were also captured.VISSIM models of the selected roundabouts were developed and calibrated for the baseline conditions.Signalized unconventional roundabout configuration,with a phase for major road through traffic were simulated and assessed for capacity,delay and queue length.The results showed that signalized roundabout intersections effectively increased capacity by as much as 50%in some cases,reduced delay and queue length significantly,and maintained the benefits of roundabouts including safety.The performance could be further enhanced by introducing separate left turn phases to reduce conflicts or through a right turn U-turn(RTUT)concept.
  • 摘要：Short-term taxi demand forecasting is of great importance to incentivize vacant cars moving from over-supply regions to over-demand regions,which can minimize the wait time for passengers and drivers.With the consideration of spatiotemporal dependences,this study proposes a multi-task deep learning(MTDL)model to predict short-term taxi demand in multi-zone level.The nonlinear Granger causality test is applied to explore the causality relationships among various traffic zones,and long short-term memory(LSTM)is used as the core neural unit to construct the framework of the multi-task deep learning model.In addition,several hyperparameter optimization methods(e.g.,grid search,random search,Bayesian optimization,hyperopt)are used to tune the model.Using the taxi trip data in New York City for validation,the multi-task deep learning model considering spatiotemporal dependences(MTDL*)is compared with the single-task deep learning model(STDL),the full-connected multi-task deep learning model(MTDL#)and other benchmark algorithms(such as LSTM,support vector machine(SVM)and k-nearest neighbors(k-NN)).The experiment results show that the proposed MTDL model is promising to predict short-term taxi demand in multi-zone level,the nonlinear Granger causality analysis is able to capture the spatiotemporal correlations among various traffic zones,and the Bayesian optimization is superior to the other three methods,which verified the feasibility and adaptability of the proposed method.
  • 摘要：Estimating safety effectiveness of roadway improvements and countermeasures,using cross-sectional models,generally requires large amounts of data such as road geometric and traffic-related characteristics at road segment levels.These models do not consider all confounding crash contributory factors such as driving culture and environmental conditions at the segment level due to a lack of readily available data.This may result in inaccurate models representing actual conditions at road segment levels,followed by erroneous estimations of safety effectiveness.To minimize the effect of not including such variables,this study develops a new methodology to estimate safety effectiveness of roadway countermeasures,based on generalized linear mixed models,assuming zeroinflated Poisson distribution for the response,and adjusting for spatial autocorrelation using the spatial random effect.The Bayesian approach,with Integrated Nested Laplace Approximation,was used to make inference on this model with computational efficiency.Results showed that incorporating a spatial random effect into the models provided better model fit than non-spatial models;hence,estimated safety effectiveness based on such models is more accurate.The proposed approach is a methodological advancement in traffic safety,which allows evaluation of safety effectiveness or roadway improvements when data are not readily available.
  • 摘要：Under mixed traffic conditions prevailing on Indian roads,drivers show complex response when faced with yellow signal because lane assignment gets dynamic in nature.The present study analyzes the effect of surrounding vehicles on response of the drivers while facing dilemma at intersections.Although dilemma zone definitions hold true in case of homogeneous traffic mix,a statistical analysis is performed to check the consistency across the definitions under mixed traffic condition.Present study shows a significant difference in percentage of red light running in comparison to homogeneous traffic as reported by various studies.For carrying out the research,study locations are chosen in such a way to reflect diversity in road geometry,traffic composition and signal characteristics.The results deduced in this study indicate a strong correlation between the driver''s decision making choice and the effect of presence of surrounding vehicle at the onset of yellow signal.The effect of critical time analysis has been found out to be one of the parameters other than critical distance in categorizing driver''s aggressiveness while facing the yellow signal.In the process of identifying the statistical significance of dilemma zone definitions,it has been found that under heterogeneous traffic condition,drivers behave differently as compared to homogenous traffic when it comes to dilemma zone.It is observed that the percentage of vehicles crossing the intersection when faced with dilemma by violating the red light is 11.6%according to dilemma zone definition I whereas the definition II has yielded about 10.8%violation covering different vehicle types.The above violation figures derived based on the above definition is somewhat higher as compared to homogeneous traffic condition which is observed to be of the order of 5%-6%.
  • 摘要：The purpose of this paper is to provide a summary of a quick overview of the latest developments and unprecedented opportunities for scholars who want to set foot in the field of traditional taxi and online car-hailing(TTOC).From the perspectives of peoples(e.g.,passenger,driver,and policymaker),vehicle,road,and environment,this paper describes the current research status of TTOC''s big data in six hot topics,including the ridership factor,spatio-temporal distribution and travel behavior,cruising strategy and passenger service market partition,route planning,transportation emission and new-energy,and TTOC''s data extensional application.These topics were included in five mainstreams as follows:(1)abundant studies often focus only on determinant analysis on given transportation(taxi,transit,online car-hailing);the exploration of ridership patterns for a multimodal transportation mode is rare;furthermore,multiple aspects of factors were not considered synchronously in a wide time span;(2)travel behavior research mainly concentrates on the commuting trips and distribution patterns of various travel indices(e.g.,distance,displacement,time);(3)the taxi driver-searching strategy can be divided into autopsychic cruising and system dispatching;(4)the spatio-temporal distribution character of TTOC''s fuel consumption(FC)and greenhouse gas(GHG)emissions has become a hotspot recently,and there has been a recommendation for electric taxi(ET)in urban cities to decrease transportation congestion is proposed;and(5)based on TTOC and point of interest(POI)multi-source data,many machine learning algorithms were used to predict travel condition indices,land use,and travel behavior.Then,the main bottlenecks and research directions that can be explored in the future are discussed.We hope this result can provide an overview of current fundamental aspects of TTOC''s utilization in the urban area.
  • 摘要：Highway agencies have been using many of the elements of asset management with the support of various decision-making tools.To determine the most effective investment strategy with scarce resources,the integration,and hence better utilization,of existing tools and practices across asset classes is generally lacking.This paper applies data envelopment analysis(DEA)to benchmark different highway investment scenarios using existing data or data readily available through existing models.Three asset types,pavements,bridges,and traffic signage,are investigated.Asset investment analysis results from the Highway Economic Requirements System State Version(HERS-ST)application,the PONTIS bridge management system software,and purpose-built traffic signage spreadsheet are obtained to capture the changes of performance measures under various budget scenarios and are further used as the inputs for the DEA process to benchmark investment scenarios for each individual asset.Subsequently,the performance measures and budget levels are assembled in the Asset Manager-NT software,whose results are input into DEA to benchmark cross-assets resource allocation scenarios.Planning for the management of highway network is addressed via case studies in a systematic manner that recognizes the tradeoffs among different funding periods and objectives such as preserving existing investments,safety,roughness and user costs.This study has established a preliminary implementable framework of highway asset management by linking DEA approach and current widely used decision-making tools for more efficient investments within and cross assets,and better understand of the tradeoffs,costs and consequences of various asset management decisions.
  • 摘要：At two-way stop controlled(TWSC)intersections drivers on minor stream are generally at risk because of the difficulty in judging safe gap between major stream vehicles.Any misjudgment by the driver while choosing gap may result in a collision with major stream vehicle.This paper provides important insights for determining and analyzing spatial critical gaps of drivers at high speed and medium speed TWSC intersections.The critical gap line(CGL)fitted for the accepted and rejected gaps using parametric(binary logit model-BLM)and non-parametric(support vector machines-SVM)techniques gives critical gap values at 15 th,50 th and 85 th percentile speeds.The evaluation of spatial critical gap with respect to major road vehicle(conflicting vehicle)speed makes it easier to understand the impact of variation in speed on spatial gaps accepted by the drivers on the minor road.The logit models developed revealed that the probability of accepting gap decreases with increase in the speed of the conflicting vehicle and it increases with increase in the distance of conflicting vehicle.The spatial critical gaps estimated using support vector machines were found in close approximation with those estimated using binary logit model.The study results showed that SVMs have very good potential to be an alternative tool for the estimation of driver''s critical gap.The spatial critical gaps corresponding to 15 th,50 th and 85 th percentile speeds for medium speed intersections were 32 m,38 m and 46 m respectively and for high speed intersections these values were 64 m,76 m and 104 m respectively.The increase in the magnitude of gap value with respect to the percentile speed clearly states the effect of speed on spatial gaps.The insights from the study can be used to suggest various measures to improve the safety of crossing drivers at uncontrolled intersections.
  • 摘要：Introduction Types of paper Contributions falling into the following categories will be considered for publication:Original research papers,Reviews,Short communication.Please ensure that you select the appropriate article type from the list of options when making your submission.Authors contributing to special issues should ensure that they select the special issue article type from this list.
  • 摘要：The ownership of motorised two wheelers(MTWs)has been on the rise across various countries across the globe.The growth has been especially higher in developing countries which have typical traffic characteristics and higher populations.This steady rise has resulted in increased accident and fatalities.This abrupt increase warranted attention from the researchers to carry out specific studies for MTWs,which have a very different behaviour as compared to cars in terms of physical and dynamic parameters.Moreover,the unique traffic patterns usually found in the developing countries pose an additional challenge to the researchers,since the conventional focus of transportation safety researchers was a homogeneous car-based traffic.Many such studies have been attempted,especially in the recent decades,which have considered various risk factors related to MTW safety.However,the studies have considered different sets of risk factors and have given surprising and even conflicting results.Therefore,a comprehensive review of the diverse studies needs to be carried out which incorporates all the risk factors considered in previous research.This study reviews such research papers which have analysed various risk factors related to safety of MTWs,especially in heterogeneous,non-lane based traffic.Specifically,this paper aims to incorporate results from those studies and highlight the conclusions from state of the art.The paper also discusses about the research gaps that are crucial for MTW safety in mixed traffic conditions.The review will be useful for researchers working in the field of MTW safety and for policy implementation and analysis.
  • 摘要：The Urban Street Segment Chapter of the Highway Capacity Manual(HCM)includes a methodology for evaluating the level of service urban street segments provide to automobile users.The methodology does not account for pedestrian activity at un-signalized midblock crosswalk on an urban street segment.Pedestrian activity at un-signalized midblock crosswalk on urban street segments causes friction conditions between automobiles and pedestrians.As a consequence,the average time it takes vehicles to travel along the segment is increased.Increasing segment running time decreases both the travel speed of automobiles and the level of service provided to automobile users.There is an inverse relationship between the delay incurred by interrupted vehicles and the speeds at which pedestrians walk while crossing at midblock.To account for this delay,there is a need to investigate pedestrian walking speeds at un-signalized midblock crosswalks.This study measured pedestrian walking speeds by age-group at two un-signalized midblock crosswalks on urban street segments.The first objective of this paper is to perform statistical analyses to examine the measured free-flow pedestrian walking speeds.The second objective is to demonstrate how the findings of this study can be incorporated into the Urban Street Segment Analysis Chapter of the HCM.Pedestrian walking speeds were recorded and analyzed for 2937 pedestrians.The results show teenagers walk at an average speed of 1.45 m/s,young adults walk at an average speed of 1.55 m/s,middle age pedestrians walk at a speed of 1.45 m/s,older pedestrians walk at speed of 1.09 m/s,and elderly or physically disabled pedestrians walk at a speed of 1.04 m/s.
  • 摘要：The planning, design and operational management of motorway toll booths are of great interest in traffic engineering, as these facilities directly influence the quality of the service offered to users. This paper focuses on a time-dependent queue model based on the coordinates transformation criterion for operations assessment at a motorway tollgate. This model allows to face the whole spectrum of situations that may characterize a toll booth,some of which often fall outside the boundaries of the probabilistic theory for stationary queues.The paper proposes an M=G=1 multi-class queue model for the evaluation of evolutionary profiles of waiting times and queue lengths by closed-form equations. The results obtained for three numerical test cases show a good approximation level, compared with the mean values of queue parameters obtained reiterating a discrete-state simulation model.The proposed time-dependent equations will be useful in technical cases, allowing to operate quickly and compactly even when probabilistic queue theory is not applicable or produce unrealistic results, and the burden of complexity of the simulation approach is not conveniently absorbable. The discussion highlights a significant flexibility of the model proposed in addressing situations with conventional vehicles, i.e., with total human control and proposes some considerations for application in future scenarios with the presence of connected vehicles(CVs).
  • 摘要：One of the critical areas of road safety is motorcycle safety. Motorcyclists are more vulnerable to injuries than occupants of other motor vehicles when involved in crashes.Researchers have studied the relationships between motorcycle crash severity and crash contributing factors. They are crash characteristics, roadway geometric design features,traffic characteristics, socio-demographics and environmental conditions. However, few researchers considered unobserved heterogeneity effects when modeling motorcycle crash injury severities, let alone interaction effects. In this research, motorcycle crashes in Wyoming that occurred from 2008 to 2017 were analyzed. Specifically, the injury severities of single motorcycle crashes and multiple vehicle crashes involving motorcycles were modeled. The response was whether the motorcycle crash incurred an incapacitating injury or fatality or not. The binary logistic regression and mixed binary logistic regression modeling structures were implemented. The mixed models revealed effects that otherwise would have been undisclosed in the binary logistic regression models’ results. According to the results of single motorcycle crashes, the majority of motorcycle-animal crashes and of motorcycle-barrier crashes were likely to be severe relative to other single motorcycle crashes. It was also found that horizontal curves increased the risk of severe injuries.Young riders were found to be less at risk of being gravely injured in single motorcycle crashes than older riders as well. Furthermore, riding under the influence and high posted speed limits increased the odds of severe crashes regardless of whether the crashes were single motorcycle crashes or multiple vehicle crashes involving motorcycles. Additionally,the mixed models uncovered interaction effects and unobserved effects pertaining to speed limits.
  • 摘要：The emergence of novel infectious diseases has become a serious global problem.Convenient transportation networks lead to rapid mobilization in the context of globalization,which is an important factor underlying the rapid spread of infectious diseases.Transportation systems can cause the transmission of viruses during the epidemic period,but they also support the reopening of economies after the epidemic.Understanding the mechanism of the impact of mobility on the spread of infectious diseases is thus important,as is establishing the risk model of the spread of infectious diseases in transportation networks.In this study,the basic structure and application of various epidemic spread models are reviewed,including mathematical models,statistical models,network-based models,and simulation models.The advantages and limitations of model applications within transportation systems are analyzed,including dynamic characteristics of epidemic transmission and decision supports for management and control.Lastly,research trends and prospects are discussed.It is suggested that there is a need for more in-depth research to examine the mutual feedback mechanism of epidemics and individual behavior,as well as the proposal and evaluation of intervention measures.The findings in this study can help evaluate disease intervention strategies,provide decision supports for transport policy during the epidemic period,and ameliorate the deficiencies of the existing system.
  • 摘要：Emergency response activity relies on transportation networks. Emergency facility location interacts with transportation networks clearly. This review is aimed to provide a combined framework for emergency facility location in transportation networks. The article reveals emergency response activities research clusters, issues, and objectives according to keywords co-occurrence analysis. Four classes of spatial separation models in transportation networks, including distance, routing, accessibility, and travel time are introduced. The stochastic and time-dependent characteristics of travel time are described. Travel time estimation and prediction method, travel time under emergency vehicle preemption,transportation network equilibrium method, and travel time in degradable networks are demonstrated. The emergency facilities location models interact with transportation networks, involving location-routing model, location models embedded with accessibility,location models embedded with travel time, and location models employing mathematical program with equilibrium constraints are reviewed. We then point out the-state-of-art challenges: ilities-oriented, evolution landscape and sequential decision modelling, datadriven optimization approach, and machine learning-based algorithms.

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