|
|
|
| Study on Vehicle Lane-changing Behavior Based on Cellular Automaton |
| LI Juan, QU Da-yi, LIU Cong, WANG Jin-zhan, XU Xiang-hua |
| Institute of Automobile and Traffic, Qingdao University of Technology, Qingdao Shandong 266520, China |
|
|
|
|
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.
|
|
Received: 04 March 2016
|
| Fund:Supported by the National Natural Science Foundation of China (No.51178231) |
|
Corresponding Authors:
LI Juan
E-mail: 948819491@qq.com
|
|
|
|
[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] |
ZHOU Xing-yu, LI Hong-mei, ZHENG Wei-Hao, TANG Zhi-hui, YANG Li-jun. Short-term Traffic Flow Prediction Based on the IMM-BP-UKF Model[J]. Journal of Highway and Transportation Research and Development, 2019, 13(2): 56-64. |
| [2] |
LI Gao-sheng, PENG Ling, LI Xiang, WU Tong. Short-term Traffic Forecast of Urban Bus Stations Based on Long Short-term Memory[J]. Journal of Highway and Transportation Research and Development, 2019, 13(2): 65-72. |
| [3] |
HU Bao-yu, ZHAO Hu, SUN Xiang-long, WANG Di-xin, LIU Ning. Synchronous Transfer Model between Bus Lines and Rural Passenger Lines[J]. Journal of Highway and Transportation Research and Development, 2019, 13(2): 73-79. |
| [4] |
GUO Jian-ke, QIU Yu-kun, BAI Jia-yuan, WANG Li. Spatial Differentiation and Equalization of Medical Service Based on Accessibility of Urban Public Transport: A Case Study of Dalian[J]. Journal of Highway and Transportation Research and Development, 2019, 13(2): 80-89. |
| [5] |
ZHAO Ni-na, ZHAO Xiao-hua, LIN Zhan-zhou, GE Shu-fang. A Study on the Guide Signs Layout for Freeway Major Split Interchange[J]. Journal of Highway and Transportation Research and Development, 2019, 13(2): 90-102. |
| [6] |
JIANG Ming, CHEN Yan-Yan, FENG Yi-dong, ZHOU Rui. Key Design Indicators for Roadside Warning Piles[J]. Journal of Highway and Transportation Research and Development, 2019, 13(1): 79-87. |
|
|
|
|
2018, Vol. 12 
