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机非交互路段非机动车越线超车行为建模与仿真
引用本文:刘启远,孙剑,田野,倪颖. 机非交互路段非机动车越线超车行为建模与仿真[J]. 同济大学学报(自然科学版), 2019, 47(11): 1585-1592
作者姓名:刘启远  孙剑  田野  倪颖
作者单位:同济大学 道路与交通工程教育部重点实验室, 上海 201804,同济大学 道路与交通工程教育部重点实验室, 上海 201804,同济大学 道路与交通工程教育部重点实验室, 上海 201804,同济大学 道路与交通工程教育部重点实验室, 上海 201804
基金项目:国家自然科学基金:U1764261;上海曙光学者计划:18SG-21
摘    要:为了准确描述机非交互路段的非机动车越线超车行为,在越线超车特征分析及关键指标定义的基础上,提出了基于生存分析的超车时间预测模型,对越线超车行为的持续时间进行预测,并通过实测的160组非机动车越线超车轨迹数据对模型参数进行标定.为验证模型在混合交通流的应用有效性,整合非机动车纵向行驶模型、换道动机模型、间隙选择模型等,将模型应用于团队自主研发的微观交通仿真软件TESS NG中,并与经典的微观交通仿真软件VISSIM进行对比.基于实际路段的仿真分析结果表明,在非机动车越线超车持续时间方面,TESS NG的仿真精度为90.12%,高于VISSIM的67.4%;在中位生存时间方面,TESS NG仿真误差仅为2.56%,优于VISSIM的43.58%.

关 键 词:机非交互路段  非机动车交通流  越线超车行为  交通仿真  生存分析
收稿时间:2019-01-26
修稿时间:2019-08-23

Modeling and Simulation of Cross-Line Overtaking Behavior of Non-Motorized Vehicles at Mixed Flow Road Section
LIU Qiyuan,SUN Jian,TIAN Ye and NI Ying. Modeling and Simulation of Cross-Line Overtaking Behavior of Non-Motorized Vehicles at Mixed Flow Road Section[J]. Journal of Tongji University(Natural Science), 2019, 47(11): 1585-1592
Authors:LIU Qiyuan  SUN Jian  TIAN Ye  NI Ying
Affiliation:Key Laboratory of Road and Traffic Engineering of the Ministry of Education,Tongji University, Shanghai 201804, China,Key Laboratory of Road and Traffic Engineering of the Ministry of Education,Tongji University, Shanghai 201804, China,Key Laboratory of Road and Traffic Engineering of the Ministry of Education,Tongji University, Shanghai 201804, China and Key Laboratory of Road and Traffic Engineering of the Ministry of Education,Tongji University, Shanghai 201804, China
Abstract:To depict the cross-line overtaking behavior of non-motorized vehicles at mixed flow road section, this paper analyzed the characteristics of cross-line overtaking behavior and defined the key parameters first, and then proposes the overtaking elapsed time estimation model for non-motorized vehicles based on survival analysis. It utilizes 160 field trajectories of cross-line overtaking non-motorized vehicles to calibrate the proposed model. In order to verify the effectiveness of the model in mixed flow, it further applies the model and integrates it with the car-following model, the lane-changing motivation model, and the gap acceptance model to the self-developed microscopic traffic simulation package TESS NG by adopting the classic micro-simulation model VISSIM as the evaluating benchmark. The result shows that the simulation accuracy of TESS NG is 90.12% in terms of estimating the overtaking elapsed time of non-motorized vehicles, which is far better than the 67.4% achieved by VISSIM and the relative error of median survival time is 2.56% which is 43.58% less than that of VISSIM.
Keywords:mixed flow road section, non-motorized vehicle flow   cross-line overtaking behavior   traffic simulation   survival analysis
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