A Passenger Flow Routing Model for High-speed Railway Network in Different Transportation Organization Modes

  • Ying Wang Beijing National Railway Research & Design Institute of Signal & Communication
  • Bao-Ming Han School of Traffic and Transportation, Beijing Jiaotong University
  • Jia-Kang Wang School of Economics and Management Civil Aviation Management Institute of China
Keywords: high-speed railway, train planning, transportation organization mode, passenger flow routing, integer non-linear programming model

Abstract

Reasonable selection of passenger flow routes considering
different transportation organization modes can meet
the demands of adapting to large-scale high-speed railway
networks and improving network efficiency. Passenger flow
routing models are developed to find and optimize a set
of passenger flow routes for a high-speed railway network considering different transportation organization modes. In this paper, we presented a new approach minimizing the operating costs, including traveling cost, cost of travel time differences between different lines, and penalties for the inter-line. The network was reconstructed to solve the directed graph with four nodes (node-in-up, node-in-down, nodes-outup, and nodes-out-down) indicating one station. To tackle our problem, we presented an integer non-linear programming model, and direct passenger demand was guaranteed owing to volume constraints. Binary variables were introduced to simplify the model, and the algorithm process was optimized. We suggested a global optimal algorithm by Lingo 11.0. Finally, the model was applied to a sub-network of the Northeast China railway system. Passenger flow routes were optimized and the transportation organization mode was discussed based on passenger volume, traveling distance, and infrastructure.

Author Biographies

Ying Wang, Beijing National Railway Research & Design Institute of Signal & Communication

Ph.D. Ying Wang is a doctoral student of School of Traffic and Transportation at the Beijing Jiaotong University in Beijing, in the group of Prof. Baoming Han. Ying’s research concerns transportation planning and management, and she participates in many high speed railway management projects. She has quite profound understanding on network operation of high speed railway in China. Some papers had published in journal, “China High-speed Railway Transportation Network Reconfiguration Based on Complex Network Theory” and ”The changing of passenger volume and distribution of sharing when high speed railway speed reducing”. At the same time, some relevant achievements were published, “Forecasting of entering passenger flow volume in Beijing subway based on SARIMA model”. She will push this effort further on line planning and railway operation.

Bao-Ming Han, School of Traffic and Transportation, Beijing Jiaotong University

Han Baoming, Ph.D.supervisor, Doctor of Engineering. Professor Han has engaged in the area of operation management technology of high speed railway as well as optimization study on operation organization of urban rail transit. He presides over more than 40 projects, including one international cooperation project, many Nation Science Foundation projects, Major National Science and Technology Support Plan projects, China's State Railways projects and The Ministry of Railways projects. Professor Han published academic papers more than 120, 14 papers for SCI/EI retrieval involved. He has 9 software copyrights and 1 patented invention has been authorized. He also won the second prize of Railway Science and Technology Award 2 times. Professor Han is the journal proprietor of Urban Rail Transit Deputy, executive editor of Journal of Urban Rail Transit and so on.

Jia-Kang Wang, School of Economics and Management Civil Aviation Management Institute of China

Jiakang Wang is a lecturer of School of  Economics and Management in Civil Aviation Management Institute of China. His research concerns on transportation economics for several years. He participates in many transportation economics projects,especially air transportation economics.

References

[1] Feng F, Sun Q. Study on Transportation Organization for Shi-Tai Passenger Special Line. Railway Operation Technology. 2006;12(3): 5-7.
[2] Zhao P, Yang H. Study on Passenger Train Plans for Jing-Hu High-speed Railway, Journal of Beijing Jiaotong University. 2006;30(3): 5-9.
[3] Wang B, Yang H, Zhang ZH. The Research on the Train Operation Plan of the Beijing-Tianjin Intercity Railway Based on Periodic Train Diagram. Journal of the China Railway Society. 2007;29(2): 8-13.
[4] Claessens MT, van Dijk NM, Zwaneveld PJ. Cost Optimal Allocation of Rail Passenger Lines. European Journal of Operational Research. 1998;110: 474-489.
[5] Fu HL, Nie L, Yang H. Operation Plan for High-speed Train Based on European Rail Timetable. Journal of Beijing Jiaotong University. 2009;33(3): 45-51.
[6] Japan Ministry of Land. Infrastructure, transport and tourism railway board, date railway 2009. Tokyo, Japan: Wako Planet Press; 2009.
[7] Sun QP, Feng XS, Bian K. Operation and Organization Management of High-speed Railway in Japan. Journal of Transportation Systems Engineering and Information Technology. 2011;11(5): 11-16.
[8] Yu XK. Methods on Train Operation Mode of Highspeed Railway Passenger Train. PhD thesis. Chengdu, China: Southwest Jiaotong University; 2013.
[9] Zhou PF. Research on the Cross-line Passenger Flows Transportation Modes on High-speed Railways. Ph.D. thesis. Beijing, China: Beijing Jiaotong University; 2015.
[10] Tong L. Passenger flow assignment theory and methods of high-speed railway passenger transport service planning. Ph.D. thesis. Beijing, China: Beijing Jiaotong University; 2013.
[11] Tong L, Nie L, Fu HL. Research on Passenger Flow Assignment Method based on Complex Train Service Network. Journal of the China Railway Society. 2012;34(10): 7-15.
[12] Hu BS. Research on the technology of network construction based on train service plan and path search and the development of computer system. Ph.D. thesis. Beijing, China: Beijing Jiaotong University; 2010.
[13] Wang BH, He SW, Song R, et al. Stochastic Dependent-chance Programming Model and Hybrid Genetic Algorithm for Car Flow Routing Plan. Journal of the China Railway Society. 2007;4: 6-11.
[14] Wang S. Theory and method of Passenger Train Planning for Rapid Passenger Transport Network. Ph.D. thesis. Beijing, China: Beijing Jiaotong University; 2010.
[15] Jing Y, Zhang XC, Gan TT. A Cross-Entropy Method for Solving Passenger Flow Routing Problem. Advanced Materials Research. 2013;756-759: 3617-3621.
[16] Kim S, Shekhar S, Min M. Contraflow Transportation Network Reconfiguration for Evacuation Route Planning. IEEE Transactions on Knowledge & Data Engineering. 2008;20(8): 1115-1129.
[17] Kesten AS, Öğüt KS. A New Passenger Oriented Performance Measurement Framework for Public Rail Transportation Systems. Promet – Traffic & Transportation. 2014;26(4): 299-311.
[18] Chun-Ping HU, Mao BH, Zhu YT, et al. Optimization Method of Passenger Flow Routing Problem. Journal of Transportation Systems Engineering & Information Technology. 2014;14(2): 158-161.
[19] Radnović B, Marić RM, Radnović V, et al. Marketing Research on Passenger Satisfaction with Public Transport Service in the City of Belgrade. Promet – Traffic & Transportation. 2015;27(1): 47-57.
[20] Claessens MT, van Dijk NM, Zwaneveld PJ. Cost optimal allocation of rail passenger lines. European Journal of Operational Research. 1998;110(3): 474-489.
[21] Schöbel A, Scholl S. Line Planning with Minimal Transfers; 2005.
[22] Schöbel A. Customer-oriented Line Planning. PhD thesis. Göttingen, Germany: Georg-August University; 2006.
[23] Fu HL, Nie L, Yang H, et al. Research on the Method Optimization of Candidate-Train-Set Based Train Operation Plans for High-speed Railways. Journal of the China Railway Society. 2010;32(6): 1-8.
[24] Fu H, Nie L, Meng L, et al. A hierarchical line planning approach for a large-scale high-speed rail network: The China case. Transportation Research Part A: Policy & Practice. 2015;75: 61-83.
[25] Zhou PF. Research on the Cross-line Passenger Flows Transportation Modes on High-speed Railways. PhD thesis. Beijing: Beijing Jiaotong University; 2015.
Published
2018-12-21
How to Cite
1.
Wang Y, Han B-M, Wang J-K. A Passenger Flow Routing Model for High-speed Railway Network in Different Transportation Organization Modes. Promet - Traffic & Transportation [Internet]. 21Dec.2018 [cited 26Mar.2019];30(6):671-82. Available from: https://traffic.fpz.hr/index.php/PROMTT/article/view/2733
Section
Articles