摘要The cellular automaton model is an effective tool for studying the dynamic characteristics of urban road traffic flow. To improve the lane changing behavior of vehicles in a microscopic traffic simulation by using the cellular automaton model, the interaction between the following and the lane changing vehicles was analyzed. The following vehicle on the target lane was taken as the research object during the lane changing process, and the lane changing rules of three lane changing models, namely, the free, forced, and cooperative lane changing models, were adopted. These three types of models were simulated and compared by changing the traffic flow density. The average velocity of the cooperative lane changing model was higher than that of the other models. The information exchange between the vehicles improves the lane change success rate and ensures that the road resources are fully utilized. The cooperative lane changing model is better than the original STCA model in improving traffic flow and reducing traffic jams.
Abstract:The cellular automaton model is an effective tool for studying the dynamic characteristics of urban road traffic flow. To improve the lane changing behavior of vehicles in a microscopic traffic simulation by using the cellular automaton model, the interaction between the following and the lane changing vehicles was analyzed. The following vehicle on the target lane was taken as the research object during the lane changing process, and the lane changing rules of three lane changing models, namely, the free, forced, and cooperative lane changing models, were adopted. These three types of models were simulated and compared by changing the traffic flow density. The average velocity of the cooperative lane changing model was higher than that of the other models. The information exchange between the vehicles improves the lane change success rate and ensures that the road resources are fully utilized. The cooperative lane changing model is better than the original STCA model in improving traffic flow and reducing traffic jams.
基金资助:Supported by the National Natural Science Foundation of China (No.51178231)
通讯作者:
LI Juan
E-mail: 948819491@qq.com
引用本文:
李娟, 曲大义, 刘聪, 王进展, 许翔华. 基于元胞自动机的车辆换道行为研究[J]. Journal of Highway and Transportation Research and Development, 2018, 12(1): 75-80.
LI Juan, QU Da-yi, LIU Cong, WANG Jin-zhan, XU Xiang-hua. Study on Vehicle Lane-changing Behavior Based on Cellular Automaton. Journal of Highway and Transportation Research and Development, 2018, 12(1): 75-80.
[1] JIA Bin,GAO Zi-you,LI Ke-ping,et al. Model and Simulation of Traffic System Based on the Theory of Cellular Automaton.Beijing:Science Press,2007. (in Chinese)
[2] CREMER M,LUDWIG J.A Fast Simulation Model for Traffic Flow on the Basic of Boolean Operation.Mathematics and Computers in Simulation,1986,28(4):297-303.
[3] WOLFRAM S. Statistical Mechanics of Cellular Automata. Reviews of Modern Physics,1983, 55(3):601-644.
[4] NAGGEL K, SCHRECKENBERG M. A Cellular Automaton Model for Freeway Traffic. Journal of Physics, 1992, 2(12):2221-2229.
[5] NAGATANI T. Self-organization and Phase Transition in Traffic-flow Model of a Two-lane Roadway. Journal of Physics A:Mathematical and General, 1993, 26(17):L781-L787.
[6] DAOUDIA A K, MOUSSA N. Numerical Simulations of a Three-lane Traffic Model Using Cellular Automata.Chinese Journal of Physics, 2003, 41(6) 671-681.
[7] LIU Xiao-ming, WANG Xiu-ying. Study of Vehicle Lane-changing Behavior Model of Cellular Automaton Based on Information Interaction. Application Research of Computers, 2010,27(10):3826-3827. (in Chinese)
[8] SHI Dan-dan, ZHU Zheng-wang, LIU Hao-de. A Cellular Automaton Model of Traffic Flow Considering Vehicle-vehicle Communication. Journal of Highway and Transportation Research and Development, 2009,26(S1):142-146. (in Chinese)
[9] YANG Hai-fei, LU Jian, QI Yue. Hybrid Model of Two-lane Traffic Flow Based on Macroscopic Kinematic Wave and Microscopic Cellular Automata. Journal of Southeast University:Natural Science Edition, 2012,42(4):773-778. (in Chinese)
[10] SHI Jun-qing, CHENG Lin, LONG Jian-cheng, et al. A New Cellular Automaton Model for Urban Two-way Road Networks. Computational Intelligence and Science, 2014,2014:685047.
[11] SHI Jun-qing, CHEN Lin, CHU Zhao-ming, et al. Cellular Automaton Model of Urban Road Network Traffic Flow. Journal of Highway and Transportation Research and Development, 2015,32(4):143-149. (in Chinese)
[12] SHANG Lei, LU Hua-pu. Model of Vehicle Behavior under Multilane Road Conditions.Journal of Huazhong University of Science and Technology:Nature Science Edition,2007,35(6):115-117. (in Chinese)
[13] HIDAS P. Modeling Vehicle Interaction in Microscopic Simulation of Merging and Weaving.Transportation Research Part C Emerging Technologies,2005,13(1):37-62.
[14] LIU You-jun, CAO Shan. Compulsory Lane-changing Traffic Model Based on Cellular Automaton.Traffic Information and Security, 2009,27(3):78-80. (in Chinese)
[15] YANG Xiao-bao. A Lane-changing Model Considering the Maneurver Process and Its Applications[J]. Acta Physica Sinica, 2009, 58(2):836-842.
[1]
周星宇, 李红梅, 郑伟皓, 唐智慧, 杨丽君. 基于交互式BP-UKF模型的短时交通流预测方法[J]. Journal of Highway and Transportation Research and Development, 2019, 13(2): 56-64.
[2]
李高盛, 彭玲, 李祥, 吴同. 基于LSTM的城市公交车站短时客流量预测研究[J]. Journal of Highway and Transportation Research and Development, 2019, 13(2): 65-72.
[3]
胡宝雨, 赵琥, 孙祥龙, 王弟鑫, 刘宁. 城市公交与农村客运同步换乘模型研究[J]. Journal of Highway and Transportation Research and Development, 2019, 13(2): 73-79.
[4]
郭建科, 邱煜焜, 白家圆, 王利. 基于城市公共交通可达性的医疗服务空间分异及均等化研究——以大连市为例[J]. Journal of Highway and Transportation Research and Development, 2019, 13(2): 80-89.
[5]
赵妮娜, 赵晓华, 林展州, 葛书芳. 主线分流互通立交指路标志版面形式研究[J]. Journal of Highway and Transportation Research and Development, 2019, 13(2): 90-102.
[6]
姜明, 陈艳艳, 冯移冬, 周瑞. 路侧示警桩设置关键指标研究[J]. Journal of Highway and Transportation Research and Development, 2019, 13(1): 79-87.
[7]
蔡静, 刘莹, 张明辉. 京津冀货物运输结构调整策略研究[J]. Journal of Highway and Transportation Research and Development, 2019, 13(1): 88-93.
[8]
常云涛, 王奕彤. 连续流交叉口信号配时优化模型[J]. Journal of Highway and Transportation Research and Development, 2018, 12(4): 66-74.
[9]
林丽, 冯辉, 朱泳旭. 基于Ring-Barrier相位的干线公交协调控制[J]. Journal of Highway and Transportation Research and Development, 2018, 12(4): 85-91.
[10]
胡祖平, 何建佳. 基于网络可靠性的街区开放适宜度研究[J]. Journal of Highway and Transportation Research and Development, 2018, 12(4): 51-58.
[11]
陈红, 马晓彤, 赵丹婷. 基于元胞自动机的破损路面车辆换道仿真研究[J]. Journal of Highway and Transportation Research and Development, 2018, 12(4): 75-84.
[12]
李新, 毛剑楠, 骆晨, 刘澜. 基于MFD的路网可扩展边界控制方法研究[J]. Journal of Highway and Transportation Research and Development, 2018, 12(4): 59-65.
[13]
郝丽, 胡大伟, 李晨. T-JIT环境下企业供应链中采购管理供应商选择和订单分配研究[J]. Journal of Highway and Transportation Research and Development, 2018, 12(3): 80-89.
[14]
姚佼, 徐洁琼, 倪屹聆. 城市干道多时段协调控制优化研究[J]. Journal of Highway and Transportation Research and Development, 2018, 12(3): 60-70.
[15]
潘兵宏, 余英杰, 武生权, 严考权. 基于UC-win/Road仿真的高速公路出口预告标志前置距离研究[J]. Journal of Highway and Transportation Research and Development, 2018, 12(3): 71-79.