吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (6): 1703-1709.doi: 10.13229/j.cnki.jdxbgxb201706005

• 论文 • 上一篇    下一篇

基于动态反应时间的全速度差模型

宋现敏, 邓晓磊, 高铭, 曲昭伟   

  1. 吉林大学 交通学院,长春 130022
  • 收稿日期:2016-10-13 出版日期:2017-11-20 发布日期:2017-11-20
  • 通讯作者: 曲昭伟(1962-),男,教授,博士生导师.研究方向:交通控制,交通视频检测.E-mail:quzw@jlu.edu.cn
  • 作者简介:宋现敏(1978-),女,副教授,博士.研究方向:交通控制.E-mail:songxm@jlu.edu.cn
  • 基金资助:
    国家自然科学基金项目(51278520,51278220)

Full velocity difference model based on dynamic reaction time

SONG Xian-min, DENG Xiao-lei, GAO Ming, QU Zhao-wei   

  1. College of Transportation, Jilin University, Changchun 130022, China
  • Received:2016-10-13 Online:2017-11-20 Published:2017-11-20

RICH HTML

0   

PDF (PC)

203

摘要： 为了描述真实路网交通流的跟驰行为,将车辆状态分为强跟驰、弱跟驰和自由行驶3种状态,考虑驾驶员对于不同间距的反应时间的差异性,提出了间距与速度差敏感系数函数,构建了基于动态反应时间的全速度差模型,并通过线性稳定性分析得到模型的临界条件。利用Matlab进行数值仿真,分别验证了模型在车辆启动加速、车辆避险减速和交通流从自由流状态向拥堵状态演变3种环境下的准确性,并与最优速度模型(OVM)和全速度差模型(FVDM)进行对比分析。结果表明:本文模型的启动延迟时间为1.5 s,拥堵传播速度为17.76 km/h,减速性能比FVDM模型提升了25%,本文模型能更有效地接近交通流的稳定状态。

关键词: 交通运输系统工程, 反应时间, 跟驰模型, 交通仿真

Abstract: In order to describe car following behavior in real road traffic, the car following status is divided into strong car-following, weak car-following and free travel sub-status. Considering the difference of driver reaction time in different space headways, a space sensitivity and velocity difference functions, and a full velocity difference model based dynamic reaction time (DRVM) is established. The stability condition of this model is obtained by using linear stability theory. Three experiences, vehicle acceleration, vehicle emergency deceleration and change of traffic state from free flow to congestion, are simulated in MATLAB. Compared with Optimal Velocity Model (OVM) and Full Velocity Difference Model (FVDM), simulation results show that the starting lag time of DRVM is 1.5 s, the speed of congestion spreading is 17.76 km/h, and the deceleration performance is improved by 25% compared with that of FVDM. The DRVM can be accord with the actual situation and close to stable traffic flow.

Key words: engineering of communication and transportation, reaction time, car-following model, traffic simulation

中图分类号: 

  • U491
[1] Bando M, Hasebe K, Nakayama A, et al. Dynamical model of traffic congestion and numerical simulation[J]. Physical Review E,1995,51(2):1035-1042.
[2] Helbing D. Traffic and related self-driven many-particle systems[J]. Reviews of Modern Physics,2001,73(4):1067-1141.
[3] Jiang R, Wu Q, Zhu Z. Full velocity difference model for a car-following theory[J]. Physical Review E,2001,64(1):017101.
[4] Tang T, Huang H, Wong S C, et al. A car-following model with the anticipation effect of potential lane changing[J]. Acta Mechanica Sinica,2008,24(4):399-407.
[5] Liu Y J, Zhang H L, He L. Cooperative car-following model of traffic flow and numerical simulation[J]. Chinese Physics Letters,2012,29(10):104502.
[6] Yu S, Liu Q, Li X. Full velocity difference and acceleration model for a car-following theory[J]. Communications in Nonlinear Science & Numerical Simulation,2013,18(5):1229-1234.
[7] 金盛,王殿海. 考虑前方交通状态的车辆跟驰模型与数值仿真[J]. 北京工业大学学报,2012,38(8):1236-1241.
Jin Sheng,Wang Dian-hai. Car following model and simulation considering front traffic situation[J]. Joural of Beijing Polytechnic University,2012,38(8):1236-1241.
[8] 徐程,曲昭伟,金盛. 考虑侧向偏移的车辆跟驰行为建模及仿真[J]. 吉林大学学报:工学版,2014,44(6):1609-1615.
Xu Cheng,Qu Zhao-wei,Jin Sheng. Modeling and simulation of car following behavior considering lateral separration[J]. Joural of Jilin University(Engineering and Technology Edition),2014,44(6):1609-1615.
[9] Lu X, Chen W, Xu M, et al. AA-FVDM:an accident-avoidance full velocity difference model for animating realistic street-level traffic in rural scenes[J]. Computer Animation and Virtual Worlds,2014,25(1):83-97.
[10] Zhou J, Shi Z K. A modified full velocity difference model with the consideration of velocity deviation[J]. International Journal of Modern Physics C, 2016,27(6):1650069.
[11] Zheng Z, Ahn S, Chen D, et al. The effects of lane-changing on the immediate follower: anticipation, relaxation, and change in driver characteristics[J]. Transportation Research Part C: Emerging Technologies,2013,26:367-379.
[12] Ota H. Distance headway behavior between vehicles from the viewpoint of proxemics[J]. IATSS Research,1994,18(2):5-14.
[13] 王福建,戴美伟,孙凌涛,等. 基于多类跟驰行为的车头时距混合分布模型[J]. 浙江大学学报:工学版,2015,49(7):1288-1294.
Wang Fu-jian,Dai Mei-wei,Sun Ling-tao,et al. Mixed distribution model of vehicle headway based on multiclass car following[J]. Journal of Zhejiang University (Engineering Science),2015,49(7):1288-1294.
[14] Transportation Research Board.Highway capacity manmol 2000[R]. Washington DC:National Research Council,2001.
[15] 孟凡兴,张良,张伟. 驾驶员车头时距研究[J]. 工业工程与管理,2013,18(2):131-135,140.
Meng Fan-xing,Zhang Liang,Zhang Wei, A study on drivers' time headway[J]. Industrial Engineering and Management,2013,18(2):131-135,140.
[16] del Castillo J M, Benitez F G. On the functional form of the speed-density relationship-I: general theory[J]. Transportation Research Part B: Methodological,1995,29(5):373-389.
[17] Kerner B S, Rehborn H. Experimental properties of phase transitions in traffic flow[J]. Physical Review Letters,1997,79(20):4030-4033.
[1] 陈永恒,刘芳宏,曹宁博. 信控交叉口行人与提前右转机动车冲突影响因素[J]. 吉林大学学报(工学版), 2018, 48(6): 1669-1676.
[2] 常山,宋瑞,何世伟,黎浩东,殷玮川. 共享单车故障车辆回收模型[J]. 吉林大学学报(工学版), 2018, 48(6): 1677-1684.
[3] 曲大义,杨晶茹,邴其春,王五林,周警春. 基于干线车流排队特性的相位差优化模型[J]. 吉林大学学报(工学版), 2018, 48(6): 1685-1693.
[4] 宗芳, 齐厚成, 唐明, 吕建宇, 于萍. 基于GPS数据的日出行模式-出行目的识别[J]. 吉林大学学报(工学版), 2018, 48(5): 1374-1379.
[5] 刘翔宇, 杨庆芳, 隗海林. 基于随机游走算法的交通诱导小区划分方法[J]. 吉林大学学报(工学版), 2018, 48(5): 1380-1386.
[6] 钟伟, 隽志才, 孙宝凤. 不完全网络的城乡公交一体化枢纽层级选址模型[J]. 吉林大学学报(工学版), 2018, 48(5): 1387-1397.
[7] 刘兆惠, 王超, 吕文红, 管欣. 基于非线性动力学分析的车辆运行状态参数数据特征辨识[J]. 吉林大学学报(工学版), 2018, 48(5): 1405-1410.
[8] 宗芳, 路峰瑞, 唐明, 吕建宇, 吴挺. 习惯和路况对小汽车出行路径选择的影响[J]. 吉林大学学报(工学版), 2018, 48(4): 1023-1028.
[9] 栾鑫, 邓卫, 程琳, 陈新元. 特大城市居民出行方式选择行为的混合Logit模型[J]. 吉林大学学报(工学版), 2018, 48(4): 1029-1036.
[10] 陈永恒, 刘鑫山, 熊帅, 汪昆维, 谌垚, 杨少辉. 冰雪条件下快速路汇流区可变限速控制[J]. 吉林大学学报(工学版), 2018, 48(3): 677-687.
[11] 王占中, 卢月, 刘晓峰, 赵利英. 基于改进和声搜索算法的越库车辆排序[J]. 吉林大学学报(工学版), 2018, 48(3): 688-693.
[12] 李志慧, 胡永利, 赵永华, 马佳磊, 李海涛, 钟涛, 杨少辉. 基于车载的运动行人区域估计方法[J]. 吉林大学学报(工学版), 2018, 48(3): 694-703.
[13] 陈松, 李显生, 任园园. 公交车钩形转弯交叉口自适应信号控制方法[J]. 吉林大学学报(工学版), 2018, 48(2): 423-429.
[14] 徐洪峰, 高霜霜, 郑启明, 章琨. 信号控制交叉口的复合动态车道管理方法[J]. 吉林大学学报(工学版), 2018, 48(2): 430-439.
[15] 苏书杰, 何露. 步行交通规划交叉路口行人瞬时动态拥塞疏散模型[J]. 吉林大学学报(工学版), 2018, 48(2): 440-447.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
版权所有 © 《吉林大学学报(工学版)》编辑部
地址：长春市人民大街5988号　电话：+86-431-85095297　传真：+86-431-85094074　E-mail: xbgxb@jlu.edu.cn
本系统由北京玛格泰克科技发展有限公司设计开发