Modeling and simulation of aggressive lane-changing behavior for highway driver training

Modeling and simulation of aggressive lane-changing behavior for highway driver training
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高速公路驾驶员训练中激进变道行为的建模与仿真

DOI:
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发表时间:
2017
期刊:
International Conference on Innovative Computing and Cloud Computing
影响因子:
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通讯作者:
Yanbin Wang
Yanbin Wang
中科院分区:
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文献类型:
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作者:
Yanbin Wang

文献摘要

被引文献

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根据最近的一项研究,在中国高速公路上,频繁变道被视为风险最高的驾驶行为。新手司机在接触实际高速公路环境之前,在各种模拟交通状况下体验和练习驾驶是非常有帮助的。在本文中,专门针对激进型司机建立了一个变道模型。所提出的模型已应用于一个用于高速公路司机培训的驾驶模拟系统中。模拟结果表明,可以通过设置激进型司机的比例来调整变道频率。因此,通过激进的变道行为可以生成不同难度级别的交通场景,新手司机能够借此提高他们对与变道相关危险的感知和处理技能。
Frequent lane change is considered as the most high-risk driving behavior on highway in China according to a recent study. It is very helpful for novice drivers to experience and practice driving in various simulated traffic situation before they are exposed to the actual highway environment. In this paper, a lane changing model is established specially for the aggressive drivers. The proposed model has been applied in a driving simulation system for highway driver training. Simulation results show that the lane change frequency can be adjusted by setting the proportion of the aggressive drivers. As a result, the traffic scenarios of different difficulty levels can be generated by the aggressive lane-changing behavior, with which novice drivers are able to improve their perception and handling skills of lane-change related hazard.