Modeling and Simulation of the Non-motorized Traffic Flow on Physically Separated Bicycle Roadways

被引：0
|
作者：
Ni Y. [1 ]
Li Y. [1 ]
Li X. [2 ]
Sun J. [1 ]
机构：
[1] Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai
[2] Hangzhou Hikvision Digital Technology Co., Ltd., Shanghai
来源：
Tongji Daxue Xuebao/Journal of Tongji University | 2019年 / 47卷 / 06期
关键词：
Comfort-zone theory; Non-motorized traffic flow; Physically separated roadways; Two-dimensional simulation;
D O I：
10.11908/j.issn.0253-374x.2019.06.006
中图分类号：
U41 [道路工程]; TU997 [];
学科分类号：
0814 ;
摘要：
To accurately depict the characteristics of microscopic motion, and describe two-dimensional movements of non-motorized traffic flow, the comfort-zone theory was put forward for the first time to describe the generation of behavior motivation of cyclists. Besides, based on this new theory, we proposed a three-layered model to describe the movements of non-motorized vehicles from the whole process of behaviors. Comparing with empirical data collected in a physically separated road section in Shanghai and the social force model, the proposed model can reflect the microscopic features better, and the average error of trajectories is only 0.64 m. © 2019, Editorial Department of Journal of Tongji University. All right reserved.
引用
收藏
页码：778 / 786
页数：8
相关论文
共 34 条
  • [1] Vasic J., Ruskin H.J., Cellular automata simulation of traffic including cars and bicycles, Physica a Statistical Mechanics & Its Applications, 391, 8, (2012)
  • [2] Edwards R.D., Mason C.N., Spinning the wheels and rolling the dice: life-cycle risks and benefits of bicycle commuting in the U.S., Preventive Medicine, 64, 7, (2014)
  • [3] General Report on Fifth Comprehensive Traffic Survey in Shanghai, (2015)
  • [4] Jiang H., Ren G., Zheng L., Et al., Properties analyses for the heterogeneous nonmotorized vehicle traffic based on cellular automaton model, International Journal of Modern Physics B, 28, 16, (2014)
  • [5] Dozza M., Werneke J., Using naturalistic data to assess e-cyclist behavior, Transportation Research Part F Traffic Psychology & Behaviour, 41, 7, (2016)
  • [6] Schleinitz K., Petzoldt T., Franke-Bartholdt L., Et al., The German naturalistic cycling study-comparing cycling speed of riders of different e-bikes and conventional bicycles, Safety Science, 92, 2, (2017)
  • [7] Dozza M., Fernandez A., Understanding bicycle dynamics and cyclist behavior from naturalistic field data (November 2012), IEEE Transactions on Intelligent Transportation Systems, 15, 1, (2014)
  • [8] Zhang S., Ren G., Yang R., Simulation model of speed-density characteristics for mixed bicycle flow-Comparison between cellular automata model and gas dynamics model, Physica a Statistical Mechanics & Its Applications, 392, 20, (2013)
  • [9] Ma Z., Sun J., Wang Y., A two-dimensional simulation model for modelling turning vehicles at mixed-flow intersections, Transportation Research Part C Emerging Technologies, 75, 75, (2017)
  • [10] Sutomo H., Appropriate saturation flow at traffic signals in Javanese cities: a modelling approach, Chemistry-A European Journal, 15, 4, (1992)
1234