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A microsimulation analysis of highway intersections near highway-railroad grade crossings

机译:公路-铁路平交道口附近公路交叉口的微观模拟分析

摘要

The purpose of this thesis was to perform microsimulation analyses on intersections near Highway-Railroad Grade Crossings (HRGCs) to determine if controlling mean train speed and train speed variability would improve safety and reduce delays. This research focused on three specific areas. First, average vehicle delay was examined, and this delay was compared for seven specific train speed distributions, including existing conditions. Furthermore, each distribution was associated with train detectors that were placed at the distance the fastest train could travel during the given warning time. Second, pedestrian cutoffs were investigated. These cutoffs represented an occasion when the pedestrian phases were truncated or shortened due to railroad signal preemption. Finally, vehicle emissions were analyzed using a modal emissions model. A microscopic simulation model of the Wellborn Corridor in College Station, Texas was created using VISSIM. The model was run twenty times in each train speed distribution for each of three train lengths. Average vehicle delay was collected for three intersections, and delays were compared using the Pooled t-test with a 95% confidence interval. Comparisons were made between the distributions, and generally, distributions with higher mean train speeds were associated with lower average delay, and train length was not a significant factor. Unfortunately, pedestrian cutoffs were not specifically controlled in this project; therefore, no statistical conclusions can be made with respect to the pedestrian cutoff problem. However, example cases were devised to demonstrate how these cutoffs could be avoided. In addition, vehicle emissions were examined using the vehicle data from VISSIM as inputs for CMEM (Comprehensive Modal Emissions Model). For individual vehicles, as power (defined as the product of velocity and acceleration) increased, emissions increased. When comparing emissions from different train speed distributions, few significant differences were found. However, a scenario with no train was tested, and it was shown to have significantly higher emissions than three of the distributions with trains. Ultimately, this thesis shows that average vehicle delay and vehicle emissions could be lowered by specific train speed distributions. Also, work could be done to investigate the pedestrian cutoff problem.
机译:本文的目的是对公路-铁路平交道口(HRGC)附近的交叉路口进行微观仿真分析,以确定控制平均列车速度和列车速度可变性是否可以提高安全性并减少延误。这项研究集中在三个特定领域。首先,检查平均车辆延误,并针对七个特定的列车速度分布(包括现有条件)比较此延误。此外,每个分布都与火车检测器相关,火车检测器被放置在给定的警告时间内最快的火车可以行驶的距离。其次,调查了行人过路处。这些截止代表了由于铁路信号抢占而导致行人相位被截断或缩短的情况。最后,使用模式排放模型分析了车辆排放。使用VISSIM创建了德克萨斯州大学城Wellborn走廊的微观仿真模型。对于三种列车长度,模型在每种列车速度分布中运行了20次。收集了三个交叉路口的平均车辆延误,并使用集合t检验以95%置信区间对延误进行了比较。在分布之间进行了比较,并且通常,具有较高平均列车速度的分布与较低的平均延迟相关,并且列车长度不是重要因素。不幸的是,在这个项目中没有特别控制行人过街。因此,无法就行人通行问题作出统计结论。但是,设计了一些示例案例来说明如何避免这些临界值。此外,使用来自VISSIM的车辆数据作为CMEM(综合模式排放模型)的输入来检查车辆排放。对于单个车辆,随着功率(定义为速度和加速度的乘积)的增加,排放量也随之增加。当比较来自不同火车速度分布的排放时,几乎没有发现显着差异。但是,对没有火车的情况进行了测试,结果表明其排放量明显高于火车的三种分布。最终,本论文表明,特定的火车速度分布可以降低平均车辆延误和车辆排放。此外,可以进行调查行人通行问题的工作。

著录项

  • 作者

    Tydlacka Jonathan Michael;

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  • 年度 2004
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  • 正文语种 en_US
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