Please wait a minute...
Chin. Phys. B, 2013, Vol. 22(12): 120206    DOI: 10.1088/1674-1056/22/12/120206
GENERAL Prev   Next  

Simulating train movement in an urban railway based on an improved car-following model

Ye Jing-Jing (叶晶晶)a, Li Ke-Ping (李克平)b, Jin Xin-Min (金新民)a
a School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China;
b State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China
Abstract  Based on the optimal velocity car-following model, in this paper, we propose an improved model for simulating train movement in an urban railway in which the regenerative energy of a train is considered. Here a new additional term is introduced into a traditional car-following model. Our aim is to analyze and discuss the dynamic characteristics of the train movement when the regenerative energy is utilized by the electric locomotive. The simulation results indicate that the improved car-following model is suitable for simulating the train movement. Further, some qualitative relationships between regenerative energy and dynamic characteristics of a train are investigated, such as the measurement data of regenerative energy presents a power-law distribution. Our results are useful for optimizing the design and plan of urban railway systems.
Keywords:  urban railway system      train movement      regenerative braking energy  
Received:  22 May 2013      Revised:  11 July 2013      Accepted manuscript online: 
PACS:  02.60.Pn (Numerical optimization)  
  07.05.Tp (Computer modeling and simulation)  
Fund: Project supported by the National High Technology Research and Development Program of China (Grant No. 2011AA110502) and the National Natural Science Foundation of China (Grant No. 71271022).
Corresponding Authors:  Li Ke-Ping     E-mail:  rtkpli@188.com

Cite this article: 

Ye Jing-Jing (叶晶晶), Li Ke-Ping (李克平), Jin Xin-Min (金新民) Simulating train movement in an urban railway based on an improved car-following model 2013 Chin. Phys. B 22 120206

[1] Nag B and Pal M N 2004 2nd UIC Railway Energy Efficiency Conference, Paris, France
[2] Nasri A, Moghadam M F and Mokhtari H 2010 Power Electronics Electrical Drives Automation and Motion, International Symposium on Publication, Pisa, Italy, pp. 1218–1221
[3] Yang X, Li X, Gao Z Y, Wang H and Tang T 2013 IEEE Transactions on Intelligent Transportation Systems 14 438
[4] Foiadelli F, Roscia M and Zaninelli D 2006 IEEE Power Engineering Society General Meeting, Montreal, Canada, pp. 1–6
[5] Iannuzzi D and Tricoli P 2010 IEEE International Symposium on Industrial Electronics, Bari, Italy, pp. 280–285
[6] Ciccarelli F, Iannuzzi D and Lauria D 2011 Proceedings of 14th European Conference on Power Electronics and Applications, Birmingham, UK, pp. 1–10
[7] Wang D W, Zhao K, Wang S R, Yang Z P and You X J 2011 International Conference on Materials for Renewable Energy & Environment, Shanghai, China, pp. 664–668
[8] Pipes L A 1953 J. Appl. Phys. 24 274
[9] Chandler R E, Herman R and Montroll E W 1958 Operational Research 6 165
[10] Newell G F 1961 Operational Research 9 209
[11] Bando M, Hasebe K and Nakayama A 1995 Phys. Rev. E 51 1035
[12] Helbing D and Tilch B 1998 Phys. Rev. E 58 133
[13] Tang T Q, Huang H J, Wong S C and Jiang R 2009 Chin. Phys. B 18 975
[14] Li K P and Guan L J 2009 Chin. Phys. B 18 2200
[15] Rothery R W 1992 Traffic Flow Theory, eds. Gartner N, Messner C J and Rathi A J 1992 Transportation Research Board (TRB) Special Report 165, Transportation Research Board, Washington DC
[16] Lenz H, Wagner C K and Sollacher R 1999 Eur. Phys. J. B 7 331
[17] Shi W and Xue Y 2007 Physica A 381 399
[18] Mo Y L, He H D, Lu W J and Xue Y 2008 Chin. Phys. B 17 4446
[1] Discrete event model-based simulation for train movement on a single-line railway
Xu Xiao-Ming (徐小明), Li Ke-Ping (李克平), Yang Li-Xing (杨立兴). Chin. Phys. B, 2014, 23(8): 080205.
[2] Modeling and simulation of high-speed passenger train movements in the rail line
Cao Cheng-Xuan (曹成铉), Xu Yan (许琰), Li Ke-Ping (李克平). Chin. Phys. B, 2013, 22(6): 060504.
[3] Simulation optimization for train movement on single-track railway
Ye Jing-Jing (叶晶晶), Li Ke-Ping (李克平). Chin. Phys. B, 2013, 22(5): 050205.
[4] Discrete-time movement model of a group of trains on a rail line with stochastic disturbance
Yang Li-Xing(杨立兴), Li Feng(李峰), Gao Zi-You(高自友), and Li Ke-Ping(李克平). Chin. Phys. B, 2010, 19(10): 100510.
[5] Simulating train movement in railway traffic using a car-following model
Li Ke-Ping(李克平) and Guan Li-Jia(管立加). Chin. Phys. B, 2009, 18(6): 2200-2204.
[6] Energy-optimal control model for train movements
Li Ke-Ping(李克平), Gao Zi-You(高自友), and Mao Bao-Hua(毛保华). Chin. Phys. B, 2007, 16(2): 359-364.
No Suggested Reading articles found!