Effects of Warning Systems on Longitudinal Driving Behavior and Safety under Fog Conditions*

Xin Chang, Haijian Li, J. Rong, Xiaohua Zhao, Guoqiang Zhao
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Abstract

In this paper, we discuss the impacts of the fog warning systems on driving behavior and traffic safety under different fog conditions. Firstly, in order to obtain the driving data, an empirical driving simulator platform was established based on a real-world road in Beijing. The comparison study was conducted for eight scenarios which comprise four warning systems under fog conditions. Thirty-five test drivers drove an instrumented vehicle eight times, 2 fog conditions (light fog, heavy fog) × 4 systems (No warning, Dynamic Message Sign only, On-Board Unit only, On-Board Unit & Dynamic Message Sign). The results show that intelligent warning systems could be beneficial to driving behavior and traffic safety. Meanwhile, the vehicle-to-vehicle warning system can significantly optimize individual driving behavior. It is suggested that proper warning systems should be considered for different fog conditions since they have different effect. The study results are helpful to select proper information release form in the context of connected vehicle.
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雾条件下预警系统对纵向驾驶行为和安全的影响*
本文讨论了不同雾况下雾预警系统对驾驶行为和交通安全的影响。首先,为了获取驾驶数据,建立了基于北京真实道路的经验驾驶模拟器平台。在雾条件下,对包括四个预警系统在内的八个场景进行了比较研究。35名测试驾驶员驾驶仪表车辆8次,2种雾况(轻雾、大雾)× 4种系统(无警告、仅限动态消息标志、仅限车载单元、车载单元和动态消息标志)。结果表明,智能预警系统有利于驾驶员行为和交通安全。同时,车对车预警系统可以显著优化个体驾驶行为。由于不同的雾况有不同的影响,建议针对不同的雾况考虑适当的预警系统。研究结果有助于在车联网环境下选择合适的信息发布形式。
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