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首页> 外文期刊>Mathematical Problems in Engineering >Study on Reverse Reconstruction Method of Vehicle Group Situation in Urban Road Network Based on Driver-Vehicle Feature Evolution
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Study on Reverse Reconstruction Method of Vehicle Group Situation in Urban Road Network Based on Driver-Vehicle Feature Evolution

机译：基于驾驶员-车辆特征演化的城市路网车辆状况逆向重构方法研究

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摘要

Vehicle group situation is the status and situation of dynamic permutation which is composed of target vehicle and neighboring traffic entities. It is a concept which is frequently involved in the research of traffic flow theory, especially the active vehicle security. Studying vehicle group situation in depth is of great significance for traffic safety. Three-lane condition was taken as an example; the characteristics of target vehicle and its neighboring vehicles were synthetically considered to restructure the vehicle group situation in this paper. The Gamma distribution theory was used to identify the vehicle group situation when target vehicle arrived at the end of the study area. From the perspective of driver-vehicle feature evolution, the reverse reconstruction method of vehicle group situation in the urban road network was proposed. Results of actual driving, virtual driving, and simulation experiments showed that the model established in this paper was reasonable and feasible.
机译：车辆组状况是动态排列的状态和状况，由目标车辆和邻近的交通实体组成。这是交通流理论特别是主动车辆安全研究中经常涉及的一个概念。深入研究车队情况对交通安全具有重要意义。以三车道情况为例；综合考虑目标车辆及其附近车辆的特点，以重构车辆组状况。当目标车辆到达研究区域的末端时，使用伽马分布理论来识别车辆组状况。从驾驶员特征演变的角度出发，提出了城市路网中车辆群状况的逆向重构方法。实际驾驶，虚拟驾驶和仿真实验的结果表明，本文建立的模型是合理可行的。

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  • 来源
    《Mathematical Problems in Engineering》 |2017年第2017期|1615691.1-1615691.14|共14页
  • 作者

    Wang Xiaoyuan; Wang Jianqiang; Liu Zhenxue; Liu Yaqi; Wang Jingheng;

  • 作者单位

    Shandong Univ Technol, Sch Transportat & Vehicle Engn, Zibo 255049, Peoples R China|Tsinghua Univ, State Key Lab Automot Safety & Energy, Beijing 100084, Peoples R China;

    Tsinghua Univ, State Key Lab Automot Safety & Energy, Beijing 100084, Peoples R China;

    Shandong Univ Technol, Sch Transportat & Vehicle Engn, Zibo 255049, Peoples R China;

    Shandong Univ Technol, Sch Transportat & Vehicle Engn, Zibo 255049, Peoples R China;

    Shandong Zibo Expt High Sch, Zibo 255000, Peoples R China;

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