ISSN 
微观交通仿真的安全换道模型研究
详细信息Research on Safety Lane-Changing Model for Microscopic Traffic Simulation
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摘要: 换道模型对车辆换道过程模拟的精确程度直接影响着微观交通仿真的精度。以往的微观交通仿真系统采用匀加速度的换道模型,无法模拟车辆实施换道动态调整纵向加速度的行为。该文分析了换道过程中车辆间的相互影响,将换道过程分为4个独立的阶段,并允许车辆在不同阶段使用不同的纵向加速度。通过分析由环境参数导致的各阶段时间顺序的变化,提出了通用的安全换道模型,并给出换道自适应加速度的约束表达式。仿真结果显示,该模型能提高微观交通仿真系统的精度,并提供更准确的安全换道距离,换道成功率更高。
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[1] BEN-AKIVA M E, CHOUDURY C, TOLEDO T. Lane changing models[C]//Second International Symposium of Transport Simulation(ISTS06). Lausanne, Switzerland: EPFL, 2006.
[2] TANG Tie-qiao, HUANG Hai-jun, WONG S C, et al. Lane changing analysis for two-lane traffic flow[J]. Acta Mechanica Sinica, 2007, 23(1): 49-54.
[3] KESTING A, TREIBER M, HELBING D. General lane-changing model mobil for car-following models[J]. Journal of the Transportation Research Board, 2007, 1999(1): 86-94.
[4] ERRAMPALLI M, OKUSHIMA M, AKIYAMA T. Fuzzy logic based lane change model for microscopic traffic flow simulation[J]. Journal of Advanced Computational Intelligence and Intelligent Informatics, 2008, 12(2): 172-181.
[5] HABEL L, SCHRECKENBERG M. Asymmetric lane change rules for a microscopic highway traffic model[C]// 11th International Conference on Cellular Automata for Research and Industry, ACRI 2014. Krakow, Poland: Springer International Publishing, 2014: 620-629.
[6] SCHAKEL W J, KNOOP V L, VAN AREM B. Integrated lane change model with relaxation and synchronization[J]. Transportation Research Record, 2012, 2316(1): 47-57.
[7] LI F, GAO L, LI X. Research on lane change timing model considering the influence of four surrounding vehicles[C]// Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo. Beijing: IEEE, 2014: 1-6.
[8] HIDAS P. Modeling lane changing and merging in microscopic traffic simulation[J]. Transportation Research Part C, 2002, 10(5): 351-371.
[9] FELLENDORF M. VISSIM: A microscopic simulation tool to evaluate actuated signal control including bus priority[C]//64th Institute of Transportation Engineers Annual Meeting. [S.l.]: Springer, 1994: 1-9.
[10] CAMERON D B, DUNCAN I D. Paramics—parallel microscopic simulation of road traffic[J]. The Journal of Supercomputing, 1996, 10(1): 25-53.
[11] BARCELO J. Models, traffic models, simulation, and traffic simulation[M]. New York: Springer, 2010.
[12] HASAN M. Evaluation of ramp control algorithms using a microscopic traffic simulation laboratory, MITSIM[D]. USA: Massachusetts Institute of Technology, 1999.
[13] GIPPS P G. A model for the structure of lane-changing decisions[J]. Transportation Research Part B: Methodological, 1986, 20(5): 403-414.
[14] 罗强. 面向高速公路行车安全预警的车道偏离及换道模 型研究[D]. 广州: 华南理工大学, 2014. LUO Qiang. Research on lane departure and lane-changing model for highway driving safety warning[D]. Guangzhou: South China University of Technology, 2014. [15] 赵玉平. 微观交通仿真关键技术及其应用研究[D]. 成 都: 电子科技大学, 2014. ZHAO Yu-ping. Research and applications on key technology of microscopic traffic simulation[D]. Chengdu: University of Electronic Science and Technology of China, 2014. -
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