文章基本信息

标题：Modeling Speed Adjustment Behavior of Merging Vehicles at Urban Expressway Merging Sections
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作者：Tien Dung Chu ; Tien Dung Chu ; Tomio Miwa 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2014
卷号：138
页码：116-126
DOI：10.1016/j.sbspro.2014.07.187
语种：English
出版社：Elsevier
摘要：AbstractThis paper modeled speed adjustment behavior of merging vehicles by using video data collected at two merging sections on urban expressway in Nagoya City, Japan. The results showed that the longer acceleration lane results in a higher acceleration rate of merging vehicles. And the denser mainline traffic causes a lower that of merging vehicles. In addition, the leading and following time to collision (TTCLandTTCF) were adopted as variables. It is found that ifTTCLis negative, merging vehicles increase their acceleration rate. By contrast, ifTTCLbecomes positive and the collision can happen, merging vehicles tend to reduce acceleration rate to avoid the collision with leading mainline vehicles. In case ofTTCF, the positive signs of coefficients indicate that when following mainline vehicles run faster than merging vehicles, they increase their acceleration rate to avoid collision with following mainline vehicles. Furthermore, the validation results suggest a promising applicability of the developed models.
关键词：Acceleration;deceleration;gap choice;traffic conditions;accleration lane length