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

doi:10.1088/1674-1056/22/12/120206

Chin. Phys. B ›› 2013, Vol. 22 ›› Issue (12): 120206-120206.doi: 10.1088/1674-1056/22/12/120206

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

叶晶晶^a, 李克平^b, 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

收稿日期:2013-05-22 修回日期:2013-07-11 出版日期:2013-10-25 发布日期:2013-10-25
基金资助:
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).

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

Received:2013-05-22 Revised:2013-07-11 Online:2013-10-25 Published:2013-10-25
Contact: Li Ke-Ping E-mail:rtkpli@188.com
Supported by:
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).

摘要/Abstract

摘要： 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.

关键词: urban railway system, train movement, regenerative braking energy

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.

Key words: urban railway system, train movement, regenerative braking energy

中图分类号: (Numerical optimization)

02.60.Pn

07.05.Tp (Computer modeling and simulation)

叶晶晶, 李克平, 金新民. Simulating train movement in an urban railway based on an improved car-following model[J]. Chin. Phys. B, 2013, 22(12): 120206-120206.

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[J]. Chin. Phys. B, 2013, 22(12): 120206-120206.

参考文献 18

[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

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

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

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