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

• Orginal Article • Previous Articles     Next Articles

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

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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

CLC Number: 

  • 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.
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