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作 者:张生 李玉清 李源庆臻 ZHANG Sheng;LI Yuqing;LI Yuanqingzhen(School of Traffic and Transportation Engineering, Changsha University of Science & Technology, Changsha 410114, China)
机构地区:[1]长沙理工大学交通运输工程学院
出 处:《计算机工程与应用》2019年第20期250-256,共7页Computer Engineering and Applications
基 金:国家自然科学基金(No.51408058)
摘 要:针对目前自行车道通行能力难以实测以及服务水平评价方法不尽合理的问题,提出了一种用于自行车道服务水平评价的仿真方法。从用户心理空间出发,构建了用户感知模型。对现有的多值元胞自动机模型进行了改进,构建了基于两步骤移动机制的混合自行车流多值元胞自动机模型。将用户感知模型和多值元胞自动机相结合应用于桂林市中山南路自行车道服务水平的评价,结果表明,该方法使得服务水平有了合理的划分,评价结果能准确地反应路段上的实际交通流状态、用户感知和道路的利用率。In view of the problem that the capacity of the bicycle lane is difficult to be measured and the evaluation method of service level is not reasonable, an evaluation method for bicycle lane level of service based on simulation is proposed. A user perception model is built from the user psychological space. The existed multi-value cellular automata model is improved, and a heterogeneous bicycle flow multi-value cellular automata model based on the two step mobile mechanism is constructed. The multi-value cellular automata combined with user perception model is applied to evaluate the service level of a bicycle lane in Zhongshan South Road, Guilin. The results show that this method makes the level of service reasonably divided, and the evaluation results can accurately describe the actual traffic flow status, user perception and road utilization rate of the bicycle lane.
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