Agent-Based Simulation Model of Passenger Flow Distribution in Urban Railway Network

Abstract:

According to characteristics of passenger flow distribution in urban railway network, proportion factors were defined to present statistic characteristics of passenger distribution at stations. An agent-based simulation model was presented to describe interactive effect among passengers, stations and trains. Two series of scenario experiments were designed, considering passenger distribution at stations and trains frequency. Station factor experiments show that increase of transfer passenger proportion of major transfer direction has different effects on passenger numbers at stations with different locations. Train headway experiments show that adjustment of train service frequency in circle line, compared with radial line, has an obvious effect on passenger flow in network. Experiment results in case study prove the validity of the simulation model on reflecting passenger distribution characteristics in urban railway network.

• Periodical: Applied Mechanics and Materials (Volumes 409-410)
• Pages: 1131-1136
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.409-410.1131
• Online since: September 2013
• Authors: Qi Zhang, Chen Yang Yi
• Keywords: Passenger Distribution, Proportion Factor, Scenario Experiment, Simulation Model, Urban Railway

References

[1] K. Lee, W.S. Jung, J.S. Park, M.Y. Choi. Statistical analysis of the Metropolitan Seoul Subway System: Network structure and passenger flows[J]. Physica A: Statistical Mechanics and its Applications. (2008), 387(24), pp.6231-6234.

DOI: 10.1016/j.physa.2008.06.035

[2] Yukun Jiang. Analysis on Beijing Subway Flows during the 29th Olympics[J]. Journal of Transportation Systems Engineering and Information Technology. (2008), 8(6), pp.46-51.

DOI: 10.1016/s1570-6672(09)60004-0

[3] Man Li, Bowen Du, Jian Huang, Tongyu Zhu. Public transport smart card data analysis and passenger flow distribution[C]. Proceedings of the 12th International Conference of Transportation Professionals (CICTP 2012), (2012), pp.1671-1683.

DOI: 10.1061/9780784412442.170

[4] Feng Wu, Luo Xia, Passenger flow distribution based on the choice of the optimum path in urban rail transit network[C]. ICTE 2011 - Proceedings of the 3rd International Conference on Transportation Engineering, (2011), pp.1137-1142.

DOI: 10.1061/41184(419)188

[5] Shengguo Gao, Zhong Wu, Modeling passenger flow distribution based on travel time of urban rail transit[J]. Journal of Transportation Systems Engineering and Information Technology, (2011), 11(6), pp.124-130.

DOI: 10.1016/s1570-6672(10)60156-0

[6] Hui Peng, Jianhua Zhao, Yudan Li, Jiaying Jiang, Zhijie Xing, Passenger flow assignment model in comprehensive transportation network based on connection and transfer efficiency in distribution nodes[C]. Special Track on Supernetworks and System Management. Proceedings of the 2011 International Conference on Business Management and Electronic Information (BMEI 2011), (2011).

DOI: 10.1109/icbmei.2011.5914439

[7] Jingrong Chen, Ruihua Xu. Route choice model with preferences in traffic network[J]. Journal of Traffic and Transportation Engineering. (2012), 12(2), pp.100-104. in Chinese.

[8] Yanshuo Sun, Ruihua Xu. Estimation of Rail Transit Passenger Route Using Automated Fare Collected Data[J]. Traffic and Transportation. (2011), 27(B12), pp.85-90. in Chinese.

[9] Ruihua Xu, Yongshi Xu. Real-time Forecast of Passenger Flow Distribution on Urban Rail Transit Line[J]. Journal of Tongji University(Natural Science). (2011), 39(6), pp.857-861. in Chinese.

[10] Ruihua Xu, Qin Luo, Peng Gao. Passenger Flow Distribution Model and Algorithm for Urban Rail Transit Network Based on Multi-route Choice [J]. Journal of the China railway Society. (2009), 31(2), pp.110-114. in Chinese.

[11] Bingfeng Si, Baohua Mao, Zhili Liu. Passenger Flow Assignment Model and Algorithm for Urban Railway Traffic Network under the Condition of Seamless Transfer [J]. Journal of the China railway Society. (2007), 29(6), pp.12-16. in Chinese.