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Deficit Function Bus Scheduling with Deadheading Trip Insertions for Fleet Size Reduction

Author

Listed:
  • Avishai Ceder

    (Technion-Israel Institute of Technology, Haifa, Israel)

  • Helman I. Stern

    (Ben-Gurion University, Beersheva, Israel)

Abstract

This paper begins with a brief review of the operational aspects of bus scheduling at Egged (The Israel National Bus Carrier), and their experience with an optimal bus scheduling algorithm. Due to the limitations of this algorithm, Egged Management has decided it is still not justified to replace the manually and currently used planning procedures (comprised of 60 schedulers using Gantt charts). Consequently, an approximate procedure incorporating a man/computer interface was requested which would allow the inclusion of practical considerations that experienced schedulers may wish to introduce in the schedule. Due to its visual nature, the deficit function was selected as a natural tool to form the basis of such a man-machine interactive scheduling procedure. A deficit function defines the net number of departures required at each terminal up to and including time t . According to the well-known fleet size formula, the minimum number of vehicles required to service a multiterminal fixed schedule of trips is equal to the sum of the maximal deficits at all terminals. As deficit function theory stops at a fixed schedule of trips, it was necessary to develop procedures to (1) primarily determine when and where to insert deadheading trips, and (2) secondarily include such considerations as garage limitations, inclusion of refueling trips, and driver limitations. The final algorithm is capable of generating schedules automatically in a purely computer mode. In an interactive mode it allows the user to select one of several computer suggested improvements or to interject his own suggestions and immediately see the effects on the final schedule through observation of the deficit functions on a CRT or computer generated output.

Suggested Citation

  • Avishai Ceder & Helman I. Stern, 1981. "Deficit Function Bus Scheduling with Deadheading Trip Insertions for Fleet Size Reduction," Transportation Science, INFORMS, vol. 15(4), pages 338-363, November.
  • Handle: RePEc:inm:ortrsc:v:15:y:1981:i:4:p:338-363
    DOI: 10.1287/trsc.15.4.338
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    Cited by:

    1. Kang, Liujiang & Sun, Huijun & Wu, Jianjun & Gao, Ziyou, 2020. "Last train station-skipping, transfer-accessible and energy-efficient scheduling in subway networks," Energy, Elsevier, vol. 206(C).
    2. Suman, Hemant & Larrain, Homero & Muñoz, Juan Carlos, 2021. "The impact of using a naïve approach in the limited-stop bus service design problem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 45-61.
    3. Niu, Huimin & Zhou, Xuesong & Tian, Xiaopeng, 2018. "Coordinating assignment and routing decisions in transit vehicle schedules: A variable-splitting Lagrangian decomposition approach for solution symmetry breaking," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 70-101.
    4. Liu, Tao & (Avi) Ceder, Avishai, 2017. "Deficit function related to public transport: 50 year retrospective, new developments, and prospects," Transportation Research Part B: Methodological, Elsevier, vol. 100(C), pages 1-19.
    5. Stern, Helman I. & Gertsbakh, Ilya B., 2019. "Using deficit functions for aircraft fleet routing," Operations Research Perspectives, Elsevier, vol. 6(C).
    6. Sinclair, Marius & van Oudheusden, Dirk L., 1997. "A103 (1997) 18-27 in heavily congested cities," European Journal of Operational Research, Elsevier, vol. 103(1), pages 18-27, November.
    7. Yu, Bin & Yang, Zhongzhen & Li, Shan, 2012. "Real-time partway deadheading strategy based on transit service reliability assessment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1265-1279.
    8. Radislav Vaisman & Ilya B. Gertsbakh, 2023. "Optimal balanced chain decomposition of partially ordered sets with applications to operating cost minimization in aircraft routing problems," Public Transport, Springer, vol. 15(1), pages 199-225, March.
    9. Bojovic, Nebojsa J., 2002. "A general system theory approach to rail freight car fleet sizing," European Journal of Operational Research, Elsevier, vol. 136(1), pages 136-172, January.
    10. Pinar Keskinocak & Sridhar Tayur, 1998. "Scheduling of Time-Shared Jet Aircraft," Transportation Science, INFORMS, vol. 32(3), pages 277-294, August.
    11. Kallrath, J. & Klosterhalfen, S.T. & Walter, M. & Fischer, G. & Blackburn, R., 2017. "Payload-based fleet optimization for rail cars in the chemical industry," European Journal of Operational Research, Elsevier, vol. 259(1), pages 113-129.
    12. José Carbajal & Alan Erera & Martin Savelsbergh, 2013. "Balancing fleet size and repositioning costs in LTL trucking," Annals of Operations Research, Springer, vol. 203(1), pages 235-254, March.
    13. Chen, Jingxu & Liu, Zhiyuan & Wang, Shuaian & Chen, Xuewu, 2018. "Continuum approximation modeling of transit network design considering local route service and short-turn strategy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 119(C), pages 165-188.
    14. Kulkarni, Sarang & Krishnamoorthy, Mohan & Ranade, Abhiram & Ernst, Andreas T. & Patil, Rahul, 2018. "A new formulation and a column generation-based heuristic for the multiple depot vehicle scheduling problem," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 457-487.
    15. Chris Martin & David Jones & Pinar Keskinocak, 2003. "Optimizing On-Demand Aircraft Schedules for Fractional Aircraft Operators," Interfaces, INFORMS, vol. 33(5), pages 22-35, October.
    16. Alejandro Tirachini & Cristián Cortés & Sergio Jara-Díaz, 2011. "Optimal design and benefits of a short turning strategy for a bus corridor," Transportation, Springer, vol. 38(1), pages 169-189, January.
    17. Leiva, Carola & Muñoz, Juan Carlos & Giesen, Ricardo & Larrain, Homero, 2010. "Design of limited-stop services for an urban bus corridor with capacity constraints," Transportation Research Part B: Methodological, Elsevier, vol. 44(10), pages 1186-1201, December.
    18. Cortés, Cristián E. & Jara-Díaz, Sergio & Tirachini, Alejandro, 2011. "Integrating short turning and deadheading in the optimization of transit services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(5), pages 419-434, June.
    19. Wu, Weitiao & Liu, Ronghui & Jin, Wenzhou & Ma, Changxi, 2019. "Simulation-based robust optimization of limited-stop bus service with vehicle overtaking and dynamics: A response surface methodology," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 130(C), pages 61-81.
    20. Chen, Jingxu & Liu, Zhiyuan & Zhu, Senlai & Wang, Wei, 2015. "Design of limited-stop bus service with capacity constraint and stochastic travel time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 83(C), pages 1-15.
    21. Liu, Tao & Ceder, Avishai (Avi), 2018. "Integrated public transport timetable synchronization and vehicle scheduling with demand assignment: A bi-objective bi-level model using deficit function approach," Transportation Research Part B: Methodological, Elsevier, vol. 117(PB), pages 935-955.
    22. Chow, Andy H.F. & Li, Shuai & Zhong, Renxin, 2017. "Multi-objective optimal control formulations for bus service reliability with traffic signals," Transportation Research Part B: Methodological, Elsevier, vol. 103(C), pages 248-268.
    23. Kayhan Alamatsaz & Sadam Hussain & Chunyan Lai & Ursula Eicker, 2022. "Electric Bus Scheduling and Timetabling, Fast Charging Infrastructure Planning, and Their Impact on the Grid: A Review," Energies, MDPI, vol. 15(21), pages 1-39, October.

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