基于元胞自动机的车辆换道行为研究  被引量:17

Study on Vehicle Lane-changing Behavior Based on Cellular Automaton

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作  者:李娟[1] 曲大义[1] 刘聪[1] 王进展[1] 许翔华 

机构地区:[1]青岛理工大学汽车与交通学院,山东青岛266520

出  处:《公路交通科技》2016年第11期140-145,共6页Journal of Highway and Transportation Research and Development

基  金:国家自然科学基金项目(51178231)

摘  要:为进一步完善微观交通仿真中的车辆换道行为模型,运用元胞自动机理论,以换道过程中目标车道跟随车为研究对象,对跟随车与换道车之间的交互行为进行了分析,给出了自由换道、强制换道、协作换道的换道规则。在改变交通流密度的情况下进行了数值模拟分析,对3种模型进行了仿真对比。结果表明:协作换道模型得到的平均速度高于其他换道模型,说明车辆之间的信息交互提高了换道成功率,使道路资源得到充分利用;协作换道在提高交通流速度和减缓交通堵塞方面比原有的STCA模型有更好的效果。In order to improve the vehicle lane-changing behavior model in microscopic traffic simulation, by the theory of cellular automaton, the interaction between the following and the lane-changing vehicles is analyzed regarding the following vehicle in the target lane as the research object during lane-changing process, and the lane-changing rules of 3 lane-changing models, including free, forced, cooperative, are put forward. Under the condition of changing traffic flow density, the numerical analysis is conducted, and 3 kinds of model are simulated and compared. The result shows that the average velocity of the cooperative lane-changing model is higher than those of the other lane-changing models, showing that the information exchange between the vehicles improved the success rate of lane-changing, so that the road resources are fully utilized. The cooperative lane-changing model is better than the original STCA model in terms of improving traffic flow speed and reduce traffic jam.

关 键 词:交通工程 换道规则 元胞自动机 换道模型 交通流 

分 类 号:U491[交通运输工程—交通运输规划与管理]

 

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