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Quantifying Vehicular Emission Factors With the Impact of Lane-changing Behavior on Different Types of Weaving Segment of Freeways

机译:改变车道行为对高速公路不同编织段类型的影响,量化车辆排放因子

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Motor vehicles, which can be implied as the mobile sources, are one of the primary causes of air pollution in USA. According to the US Environmental Protection Agency (EPA), there is a significant increase in the total emissions of hydrocarbons (HC), carbon monoxide (CO), oxides of nitrogen (NO_x), greenhouse gases (GHG) especially carbon dioxide (CO_2), particulate matter (PM) and air toxics from motor vehicles from 2013 to 2014, which incorporates 27% of total U.S. GHG emissions. The basic factors of vehicle emissions are related to vehicle properties, pavement condition, roadway geometry, and especially driving behavior. With the unpredictable driving behavior, a series of acceleration and deceleration have been seen in the driving pattern while merging with and diverging from the through traffic within the weaving segments on a freeway. In addition, the traffic loads during different time of a day also significantly influence driver's lane changing behaviors and speed adaptations. The objective of this paper is to quantify and investigate the correlation between the vehicular emission and lane-changing maneuver in the weaving sections of freeways. A portable emission measurement system (PEMS) has been used to measure emissions during the actual use of an internal-combustion engine of a light-duty vehicle while driving in weaving segments of SH-288, Texas, USA. A video recorder and GPS tracker were used to document the vehicle trajectory and surrounding traffic demands. The statistical analysis showed that, with the peak-hour traffic conditions, driving pattern in weaving sections in accordance to the lane-changing behavior resulted an increase in CO_2 emission and fuel consumption compared to driving on the basic freeway segments. With further studies, the findings of this research can contribute in developing design consideration of the weaving sections in the reduction of vehicular emissions, which is a major concern for both environment and health.
机译:可能被暗示为移动源的机动车辆是美国空气污染的主要原因之一。根据美国环境保护署(EPA)的数据,碳氢化合物(HC),一氧化碳(CO),氮氧化物(NO_x),温室气体(GHG)特别是二氧化碳(CO_2)的总排放量显着增加从2013年到2014年,机动车产生的微粒,颗粒物(PM)和空气中的有毒物质,占美国温室气体总排放量的27%。车辆排放的基本因素与车辆性能,路面状况,道路几何形状,尤其是驾驶行为有关。由于具有不可预测的驾驶行为,因此在驾驶模式中看到了一系列的加速和减速,同时与高速公路上编织段内的直通车流合并和分叉。此外,一天中不同时间的交通负荷也会显着影响驾驶员的换车行为和速度适应性。本文的目的是量化和研究高速公路织造区的车辆排放与换道策略之间的相关性。在美国德克萨斯州SH-288的织造段中行驶时,便携式排放物测量系统(PEMS)已用于在轻型车辆的内燃机实际使用期间测量排放物。录像机和GPS追踪器用于记录车辆的轨迹和周围的交通需求。统计分析表明,在高峰时段的交通条件下,与在基本高速公路路段上行驶相比,根据车道变换行为在织造区中行驶的方式导致了CO_2排放和燃料消耗的增加。通过进一步的研究,该研究的结果有助于减少织造段的设计考虑,以减少车辆的排放,这是环境和健康的主要问题。

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