A simulation model for estimating train and passenger delays in large-scale rail transit networks

Zhi-bin Jiang , Feng Li , Rui-hua Xu , Peng Gao

Journal of Central South University ›› 2012, Vol. 19 ›› Issue (12) : 3603 -3613.

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Journal of Central South University ›› 2012, Vol. 19 ›› Issue (12) : 3603 -3613. DOI: 10.1007/s11771-012-1448-9
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A simulation model for estimating train and passenger delays in large-scale rail transit networks

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Abstract

A simulation model was proposed to investigate the relationship between train delays and passenger delays and to predict the dynamic passenger distribution in a large-scale rail transit network. It was assumed that the time varying original-destination demand and passenger path choice probability were given. Passengers were assumed not to change their destinations and travel paths after delay occurs. Capacity constraints of train and queue rules of alighting and boarding were taken into account. By using the time-driven simulation, the states of passengers, trains and other facilities in the network were updated every time step. The proposed methodology was also tested in a real network, for demonstration. The results reveal that short train delay does not necessarily result in passenger delays, while, on the contrary, some passengers may get benefits from the short delay. However, large initial train delay may result in not only knock-on train and passenger delays along the same line, but also the passenger delays across the entire rail transit network.

Keywords

delay simulation / passenger delay / train delay / rail transit network / timetable

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Zhi-bin Jiang, Feng Li, Rui-hua Xu, Peng Gao. A simulation model for estimating train and passenger delays in large-scale rail transit networks. Journal of Central South University, 2012, 19(12): 3603-3613 DOI:10.1007/s11771-012-1448-9

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References

[1]

NIELSEN O A, LANDEX O, FREDERIKSEN R D. Passenger delay models for rail networks [M] Schedule-Based Modeling of Transportation Networks. Springer US, 2009: 27–49.

[2]

CareyM., KwiecinskiA.. Properties of expected costs and performance measures in stochastic models of scheduled transport [J]. European Journal of Operational Research, 1995, 83(1): 182-199

[3]

CareyM.. Exante heuristic measures of schedule reliability [J]. Transportation Research Part B: Methodological, 1999, 33(7): 473-494

[4]

CareyM.. Optimizing scheduled times, allowing for behavioral response [J]. Transportation Research Part B: Methodological, 1998, 32(5): 329-342

[5]

HallowellS. F., HarkerP. T.. Predicting on-time performance in scheduled railroad operations: methodology and application to train scheduling [J]. Transportation Research Part A: Policy and Practice, 1998, 32(4): 279-295

[6]

HigginsA., KozanE.. Modeling train delays in urban networks [J]. Transportation Science, 1998, 32(4): 46-357

[7]

HuismanT., BoucherieR. J.. Running times on railway sections with heterogeneous train traffic [J]. Transportation Research Part B: Methodological, 2001, 35(3): 271-292

[8]

YuanJ., HansenI. A.. Optimizing capacity utilization of stations by estimating knock-on train delays [J]. Transportation Research Part B: Methodological, 2007, 41(2): 202-217

[9]

MeesterL. E., MunsS.. Stochastic delay propagation in railway networks and phase-type distributions [J]. Transportation Research Part B: Methodological, 2007, 41(2): 218-230

[10]

GoverdeR. M. P.. A delay propagation algorithm for large-scale railway traffic networks [J]. Transportation Research Part C: Emerging Technologies, 2010, 18(3): 269-287

[11]

MuraliP., DessoukyM., PalmerK., MuraliP., DessoukyM., OrdonezF., PalmerK.. A delay estimation technique for single and double-track railroads [J]. Transportation Research Part E: Logistics and Transportation Review, 2010, 46(4): 483-495

[12]

JiangZ.-b., XuR.-h., XieChao.. Train delay propagation simulation in rail transit system [C]. The 1st International Conference on Transportation Engineering, 2007RestonAmerican Society of Civil Engineers

[13]

JiangZ.-b., XieChao.. Multi-agent delay simulation model in mass rail transit system [C]. 2009 International Conference on Measuring Technology and Mechatronics Automation, 2009Los AlamitosIEEE Computer Society717-720

[14]

JiangZ.-b., JinY., ChenJ.-jing.. Running buffer time distribution calculation based on delay analysis in mass transit system [C]. The 2nd International Conference on Transportation Engineering, 2009RestonAmerican Society of Civil Engineers4068-4073

[15]

JiangZ.-b., GaoJ., XuR.-hua.. Circle rail transit line timetable scheduling using Rail TPM [C]. Computers in Railways XII: Computer System Design and Operation in Railways and Other Transit Systems, 2010SouthamptonWIT Press945-952

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