多源出行信息影响下的路径选择行为仿真

发布时间：2018-01-20 08:14

本文关键词： 智能交通系统路径选择行为特征仿真多源出行信息驾驶模拟行程时间预测　出处：《公路交通科技》2016年08期 　论文类型：期刊论文

【摘要】：为获取多源出行信息影响下的驾驶员路径选择行为特征,分析了驾驶员主观行程时间预测的特征,建立了多源出行信息对主观行程时间预测的影响模型。基于大型驾驶模拟仿真系统设计了包含交通广播、可变信息板的多源出行信息场景,要求驾驶员搜寻出行信息并以行程时间最短为目标完成驾驶试验任务,从而获取不同信息场景下的路径选择行为特征。结果表明:单一交通广播的信息场景中,平均行程时间最长,主观行程时间预测精度较差,但交通广播能够帮助驾驶员避开延误严重的路段;单一可变信息板的信息场景中,平均行程时间的离散程度大,但主观行程时间预测精度较高,可变信息板的信息服务范围有限;交通广播与可变信息板组成的多源出行信息场景中,行程时间方差最小,主观行程时间预测精度明显提高,整体驾驶绩效优于单一信息源。
[Abstract]:In order to obtain the characteristics of driver's path choice behavior under the influence of multi-source travel information, the characteristics of driver's subjective travel time prediction are analyzed. The influence model of multi-source travel information on subjective travel time prediction is established, and a multi-source travel information scene including traffic broadcast and variable information board is designed based on large-scale driving simulation system. The driver is required to search for travel information and complete the driving test task with the shortest travel time, so as to obtain the behavior characteristics of path selection in different information scenarios. The results show that: in the information scene of single traffic broadcast. The average travel time is the longest and the subjective travel time prediction accuracy is poor, but the traffic broadcast can help the driver avoid the serious delay section. In the information scene of single variable information board, the average travel time is discrete, but the subjective travel time prediction accuracy is high, and the information service range of variable information board is limited. In the multi-source travel information scene composed of traffic broadcast and variable information board, the travel time variance is the smallest, the subjective travel time prediction accuracy is obviously improved, and the overall driving performance is better than that of the single information source.
【作者单位】：昆明理工大学交通工程学院;
【基金】：国家自然科学基金项目(61263025)
【分类号】：U491.1
【正文快照】： 0引言随着ATIS的快速发展,通过交通广播、可变信息板(Variable Message Sign,VMS)、车载GPS等多种方式向驾驶员发布动态、个性化的出行信息已成为现实,但其服务覆盖范围、关联区域、信息类型以及信息更新周期均存在巨大差异,使得驾驶员面临一个多源、异构、动态的出行信息环境

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