基于物联网的公路车流波消散方法研究

    A Study of the Highway Shockwave Elimination Method Based on the Internet of Things

    • 摘要: 通过开发专门的视频处理系统来获取车辆动态数据,对比分析在无车流波和车流波情况下的车队动态微观数据(车辆速度、加速度、车头间距和反应时间等),发现车队中的驾驶员能快速识别车流波情形并调整驾驶策略,在此基础上,构建车流波模糊识别算法并进行仿真验证;最后结合物联网技术,提出新的公路车流波消散方法.

       

      Abstract: A special Video Image Process System has been developed to get the microscopic dynamic data on shockwaves. The data has been compared with the vehicle microscopic data (speeds, accelerations, headways and reaction times) before & during the propagation of shockwaves. It has been found out that the drivers will change their driving strategies when they “recognize” a shockwave. Thus, it proposes a Fuzzy Logic based Shockwave Recognition Algorithm and simulates it. Besides, it proposes a shockwave elimination method by combining the Shockwave Recognition Algorithm with the Internet of Things.

       

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