The relationship between energy consumption and train delay in railway traffic

doi:10.1088/1674-1056/19/10/100511

中国物理B ›› 2010, Vol. 19 ›› Issue (10): 100511-100511.doi: 10.1088/1674-1056/19/10/100511

The relationship between energy consumption and train delay in railway traffic

李克平, 范红强

State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China

收稿日期:2009-11-03 修回日期:2010-04-12 出版日期:2010-10-15 发布日期:2010-10-15
基金资助:
Project supported by the National Natural Science Foundation of China (Grant Nos. 60634010 and 60776829), the Changjiang Scholars and Innovative Research Team in University (Grant No. IRT0605) and the State Key Laboratory of Rail Traffic Control and Safety of Beijing Jiaotong University (Grant No. RCS2008ZZ001).

The relationship between energy consumption and train delay in railway traffic

Li Ke-Ping(李克平)^† and Fan Hong-Qiang(范红强)

State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China

Received:2009-11-03 Revised:2010-04-12 Online:2010-10-15 Published:2010-10-15
Supported by:
Project supported by the National Natural Science Foundation of China (Grant Nos. 60634010 and 60776829), the Changjiang Scholars and Innovative Research Team in University (Grant No. IRT0605) and the State Key Laboratory of Rail Traffic Control and Safety of Beijing Jiaotong University (Grant No. RCS2008ZZ001).

摘要/Abstract

摘要： Based on deterministic NaSch model, we propose a new cellular automation model for simulating train movement. In the proposed model, the reaction time of driver/train equipment is considered. Our study is focused on the additional energy consumption arising by train delay around a traffic bottle (station). The simulation results demonstrate that the proposed model is suitable for simulating the train movement under high speed condition. Further, we discuss the relationship between the additional energy consumption and some factors which affect the formation of train delay, such as the maximum speed of trains and the station dwell time etc.

Abstract: Based on deterministic NaSch model, we propose a new cellular automation model for simulating train movement. In the proposed model, the reaction time of driver/train equipment is considered. Our study is focused on the additional energy consumption arising by train delay around a traffic bottle (station). The simulation results demonstrate that the proposed model is suitable for simulating the train movement under high speed condition. Further, we discuss the relationship between the additional energy consumption and some factors which affect the formation of train delay, such as the maximum speed of trains and the station dwell time etc.

Key words: NaSch model, energy consumption, train delay

中图分类号: (Land transportation)

89.40.Bb

李克平, 范红强. The relationship between energy consumption and train delay in railway traffic[J]. 中国物理B, 2010, 19(10): 100511-100511.

Li Ke-Ping(李克平) and Fan Hong-Qiang(范红强). The relationship between energy consumption and train delay in railway traffic[J]. Chin. Phys. B, 2010, 19(10): 100511-100511.

参考文献 18

[1]	Vromans M, Dekker R and Kroon L 2006 European Journal of Operational Research 172 647
[2]	Harrod S 2008 Railway Capacity Management and Planning Ph.D. dissertation, University of Cincinnati
[3]	Higgins A, Kozan E and Ferreira L 1995 Transportation Planning and Technology 19 89
[4]	Kozan E and Burdett R 2005 Transportation Planning and Technology 28 27
[5]	Li K P and Gao Z Y 2007 Chin. Phys. 16 359
[6]	Li K P and Guan L J 2009 Chin. Phys. B 18 2200
[7]	Gibson S, Cooper G and Ball B 2002 Journal of Transport Economics and Policy 36 341
[8]	Hansen I A and Pachl J 2008 Railway Timetable and Traffic: Analysis, Modelling and Simulation (Hamburg: Eurailpress)
[9]	DAriano A and Albrecht T 2006 Running Time Re-optimization During Real-time Timetable Perturbations, in Computers in Railways X ed. Allan J, Berbbia C A, Rumsey A F, Sciutto G, Sone S and Goodman C J (Southampton: WIT Press) pp. 531--540
[10]	Mazzarello M and Ottaviani E 2007 Transportation Research Part B 41 246
[11]	Albrecht T 2009 Network and Spatial Economics 9 85
[12]	Cormana F, Arianoa A D, Pacciarellib D and Pranzoc M 2009 Transportation Research Part C 17 607
[13]	Chowdhury D, Santen L and Schadschneider A 2000 Phys. Rep. 329 199
[14]	Nagel K and Schreckenberg M 1992 J. Phys. I 2 2221
[15]	Kan S J, Liang Y J, Tian H H and Xue Y 2009 Acta Phys. Sin. 58 4506 (in Chinese)
[16]	Pearson L V 1973 Moving Block Signalling Ph.D. Thesis Loughborough University of Technology, England
[17]	Tang T and Li K P 2007 Commun. Theor. Phys. 47 601
[18]	Nakayama A, Sugiyama Y and Hasebe K 2002 Phys. Rev. E 65 06112 endfootnotesize

The relationship between energy consumption and train delay in railway traffic

The relationship between energy consumption and train delay in railway traffic

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

参考文献 18

相关文章 15

Metrics

本文评价

推荐阅读 0

[1]	Huaqing Liu(刘华清), Rui Jiang(姜锐), Junfang Tian(田钧方), and Kaixuan Zhu(朱凯旋). Traffic flow of connected and automated vehicles at lane drop on two-lane highway: An optimization-based control algorithm versus a heuristic rules-based algorithm[J]. 中国物理B, 2023, 32(1): 14501-014501.
[2]	. [J]. 中国物理B, 2021, 30(1): 18901-.
[3]	曾俊伟, 钱勇生, 魏谞婷, 冯骁. Traffic flow velocity disturbance characteristics and control strategy at the bottleneck of expressway[J]. 中国物理B, 2018, 27(12): 124502-124502.
[4]	庞明宝, 黄玉满. Coordinated chaos control of urban expressway based on synchronization of complex networks[J]. 中国物理B, 2018, 27(11): 118902-118902.
[5]	张涛, 任刚, 俞志钢, 杨阳. Model and application of bidirectional pedestrian flows at signalized crosswalks[J]. 中国物理B, 2018, 27(7): 78901-078901.
[6]	庞明宝, 任泊宁. Effects of rainy weather on traffic accidents of a freeway using cellular automata model[J]. 中国物理B, 2017, 26(10): 108901-108901.
[7]	马骁, 郑伟范, 江宝山, 张继业. A new cellular automata model of traffic flow with negative exponential weighted look-ahead potential[J]. 中国物理B, 2016, 25(10): 108902-108902.
[8]	庞明宝, 叶兰杭, 裴亚男. Influence of bus stop with left-turn lines between two adjacent signalized intersections[J]. 中国物理B, 2016, 25(8): 88901-088901.
[9]	郑伟范, 张继业. A cellular automata model of traffic flow with variable probability of randomization[J]. 中国物理B, 2015, 24(5): 58902-058902.
[10]	王扬, 陈艳艳. A new cellular automaton for signal controlled traffic flow based on driving behaviors[J]. , 2015, 24(3): 38902-038902.
[11]	侯远达, 徐肖豪. Transport path optimization algorithm based on fuzzy integrated weights[J]. 中国物理B, 2014, 23(11): 118901-118901.
[12]	陆丽丽, 任刚, 王炜, 王义. Modeling walking behavior of pedestrian groups with floor field cellular automaton approach[J]. , 2014, 23(8): 88901-088901.
[13]	María Elena Lárraga, Luis Alvarez-Icaza. Cellular automata model for traffic flow with safe driving conditions[J]. 中国物理B, 2014, 23(5): 50701-050701.
[14]	孙亚华, 曹成铉, 许琰, 吴超. Scheduling of high-speed rail traffic based on discrete-time movement model[J]. Chin. Phys. B, 2013, 22(12): 120501-120501.
[15]	曹成铉, 许琰, 李克平. Modeling and simulation of high-speed passenger train movements in the rail line[J]. 中国物理B, 2013, 22(6): 60504-060504.