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Real-time customized bus routes design with optimal passenger and vehicle matching based on column generation algorithm

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  • Shen, Chan
  • Sun, Yao
  • Bai, Zijian
  • Cui, Hongjun

Abstract

With the popularity and development of mobile Internet, new transportation network services such as customized buses are expected to become a new way of popular transportation in crowded metropolises. In this paper, we propose a real-time customized bus routes design model. We divide the proposed model into two-stage problem to solve. The first stage problem is the vehicle route problem with time window (VRPTW), and the second stage problem is bilateral matching problem. For the first stage, the column generation algorithm is used to solve the problem. For the second stage, we solve it by the improved H-R bilateral matching algorithm. Finally, data on customized bus in Tianjin city of China are used to verify the accuracy of the real-time customized bus routes design model. The optimized results show that the average attendance rate has reached 70.8%, and the service rate of passenger has reached 88.5%. The results have proved that the real-time customized bus routes design model has a practical applicability in operation.

Suggested Citation

  • Shen, Chan & Sun, Yao & Bai, Zijian & Cui, Hongjun, 2021. "Real-time customized bus routes design with optimal passenger and vehicle matching based on column generation algorithm," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 571(C).
    • Handle: RePEc:eee:phsmap:v:571:y:2021:i:c:s0378437121001084
    DOI: 10.1016/j.physa.2021.125836
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    1. Shaheen, Susan & Sperling, Daniel & Wagner, Conrad, 1998. "Carsharing in Europe and North American: Past, Present, and Future," University of California Transportation Center, Working Papers qt4gx4m05b, University of California Transportation Center.
    2. Jeffery L. Kennington & Charles D. Nicholson, 2010. "The Uncapacitated Time-Space Fixed-Charge Network Flow Problem: An Empirical Investigation of Procedures for Arc Capacity Assignment," INFORMS Journal on Computing, INFORMS, vol. 22(2), pages 326-337, May.
    3. Bin Yu & Zixuan Peng & Zhihui Tian & Baozhen Yao, 2019. "Sailing speed optimization for tramp ships with fuzzy time window," Flexible Services and Manufacturing Journal, Springer, vol. 31(2), pages 308-330, June.
    4. Farahani, Reza Zanjirani & Miandoabchi, Elnaz & Szeto, W.Y. & Rashidi, Hannaneh, 2013. "A review of urban transportation network design problems," European Journal of Operational Research, Elsevier, vol. 229(2), pages 281-302.
    5. Hu Shao & William Lam & Mei Tam, 2006. "A Reliability-Based Stochastic Traffic Assignment Model for Network with Multiple User Classes under Uncertainty in Demand," Networks and Spatial Economics, Springer, vol. 6(3), pages 173-204, September.
    6. George B. Dantzig & Philip Wolfe, 1960. "Decomposition Principle for Linear Programs," Operations Research, INFORMS, vol. 8(1), pages 101-111, February.
    7. Natalia Kliewer & Vitali Gintner & Leena Suhl, 2008. "Line Change Considerations Within a Time-Space Network Based Multi-Depot Bus Scheduling Model," Lecture Notes in Economics and Mathematical Systems, in: Mark Hickman & Pitu Mirchandani & Stefan Voß (ed.), Computer-aided Systems in Public Transport, pages 57-70, Springer.
    8. Víctor M. Albornoz & Linco J. Ñanco, 2016. "An Empirical Design of a Column Generation Algorithm Applied to a Management Zone Delineation Problem," Lecture Notes in Economics and Mathematical Systems, in: Raquel J. Fonseca & Gerhard-Wilhelm Weber & João Telhada (ed.), Computational Management Science, edition 1, pages 201-208, Springer.
    9. Liu, Tao & Ceder, Avishai (Avi), 2015. "Analysis of a new public-transport-service concept: Customized bus in China," Transport Policy, Elsevier, vol. 39(C), pages 63-76.
    10. Shaheen, Susan & Sperling, Daniel & Wagner, Conrad, 1998. "Carsharing in Europe and North American: Past, Present, and Future," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt4gx4m05b, Institute of Transportation Studies, UC Berkeley.
    11. Harilaos N. Psaraftis, 1980. "A Dynamic Programming Solution to the Single Vehicle Many-to-Many Immediate Request Dial-a-Ride Problem," Transportation Science, INFORMS, vol. 14(2), pages 130-154, May.
    12. Baozhen Yao & Bin Yu & Ping Hu & Junjie Gao & Mingheng Zhang, 2016. "An improved particle swarm optimization for carton heterogeneous vehicle routing problem with a collection depot," Annals of Operations Research, Springer, vol. 242(2), pages 303-320, July.
    13. W. Szeto & Y. Jiang & D. Wang & A. Sumalee, 2015. "A Sustainable Road Network Design Problem with Land Use Transportation Interaction over Time," Networks and Spatial Economics, Springer, vol. 15(3), pages 791-822, September.
    14. Kang, Jee Eun & Chow, Joseph Y.J. & Recker, Will W., 2013. "On activity-based network design problems," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 398-418.
    15. Ryley, Tim J. & A. Stanley, Peter & P. Enoch, Marcus & M. Zanni, Alberto & A. Quddus, Mohammed, 2014. "Investigating the contribution of Demand Responsive Transport to a sustainable local public transport system," Research in Transportation Economics, Elsevier, vol. 48(C), pages 364-372.
    16. Luathep, Paramet & Sumalee, Agachai & Lam, William H.K. & Li, Zhi-Chun & Lo, Hong K., 2011. "Global optimization method for mixed transportation network design problem: A mixed-integer linear programming approach," Transportation Research Part B: Methodological, Elsevier, vol. 45(5), pages 808-827, June.
    17. Wenxuan Shan & Qianqian Yan & Chao Chen & Mengjie Zhang & Baozhen Yao & Xuemei Fu, 2019. "Optimization of competitive facility location for chain stores," Annals of Operations Research, Springer, vol. 273(1), pages 187-205, February.
    18. Yu, Bin & Yang, Zhong-Zhen & Yao, Baozhen, 2009. "An improved ant colony optimization for vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 196(1), pages 171-176, July.
    19. Nelson, John D. & Wright, Steve & Masson, Brian & Ambrosino, Giorgio & Naniopoulos, Aristotelis, 2010. "Recent developments in Flexible Transport Services," Research in Transportation Economics, Elsevier, vol. 29(1), pages 243-248.
    20. Jesús Sáez Aguado, 2009. "Fixed Charge Transportation Problems: a new heuristic approach based on Lagrangean relaxation and the solving of core problems," Annals of Operations Research, Springer, vol. 172(1), pages 45-69, November.
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    Cited by:

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    2. Guan, Yunlin & Xiang, Wang & Wang, Yun & Yan, Xuedong & Zhao, Yi, 2023. "Bi-level optimization for customized bus routing serving passengers with multiple-trips based on state–space–time network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 614(C).
    3. Maela Madel L. Cahigas & Ferani E. Zulvia & Ardvin Kester S. Ong & Yogi Tri Prasetyo, 2023. "A Comprehensive Analysis of Clustering Public Utility Bus Passenger’s Behavior during the COVID-19 Pandemic: Utilization of Machine Learning with Metaheuristic Algorithm," Sustainability, MDPI, vol. 15(9), pages 1-31, April.
    4. Zhen, Lu & Baldacci, Roberto & Tan, Zheyi & Wang, Shuaian & Lyu, Junyan, 2022. "Scheduling heterogeneous delivery tasks on a mixed logistics platform," European Journal of Operational Research, Elsevier, vol. 298(2), pages 680-698.
    5. Shang, Huayan & Chang, Yi & Huang, Haijun & Zhao, Fangxia, 2022. "Integration of conventional and customized bus services: An empirical study in Beijing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).

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