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Regional mass transit assignment with resource constraints

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  • Carraresi, Paolo
  • Malucelli, Federico
  • Pallottino, Stefano

Abstract

This paper considers a mass transit system in a regional area. The problem of improving the quality of the service by decreasing the total passenger waiting time is studied. A model to improve the effectiveness of the system without worsening the cost (vehicles and duties) and the passenger assignment is proposed, along with a new definition of passenger assignment to support the proposed model.

Suggested Citation

  • Carraresi, Paolo & Malucelli, Federico & Pallottino, Stefano, 1996. "Regional mass transit assignment with resource constraints," Transportation Research Part B: Methodological, Elsevier, vol. 30(2), pages 81-98, April.
    • Handle: RePEc:eee:transb:v:30:y:1996:i:2:p:81-98
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    References listed on IDEAS

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    1. Nguyen, S. & Pallottino, S., 1988. "Equilibrium traffic assignment for large scale transit networks," European Journal of Operational Research, Elsevier, vol. 37(2), pages 176-186, November.
    2. Alfa, Attahiru Sule, 1989. "Departure rate and route assignment of commuter traffic during peak period," Transportation Research Part B: Methodological, Elsevier, vol. 23(5), pages 337-344, October.
    3. Hani Mahmassani & Robert Herman, 1984. "Dynamic User Equilibrium Departure Time and Route Choice on Idealized Traffic Arterials," Transportation Science, INFORMS, vol. 18(4), pages 362-384, November.
    4. Sumi, Tomonori & Matsumoto, Yoshiji & Miyaki, Yasuyuki, 1990. "Departure time and route choice of commuters on mass transit systems," Transportation Research Part B: Methodological, Elsevier, vol. 24(4), pages 247-262, August.
    5. Carraresi, P. & Gallo, G., 1984. "Network models for vehicle and crew scheduling," European Journal of Operational Research, Elsevier, vol. 16(2), pages 139-151, May.
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    1. Tong, C.O. & Wong, S.C., 1998. "A stochastic transit assignment model using a dynamic schedule-based network," Transportation Research Part B: Methodological, Elsevier, vol. 33(2), pages 107-121, April.
    2. Chu, James C., 2018. "Mixed-integer programming model and branch-and-price-and-cut algorithm for urban bus network design and timetabling," Transportation Research Part B: Methodological, Elsevier, vol. 108(C), pages 188-216.
    3. Mohamed Wahba & Amer Shalaby, 2011. "Large-scale application of MILATRAS: case study of the Toronto transit network," Transportation, Springer, vol. 38(6), pages 889-908, November.
    4. Chu, James C. & Korsesthakarn, Kanticha & Hsu, Yu-Ting & Wu, Hua-Yen, 2019. "Models and a solution algorithm for planning transfer synchronization of bus timetables," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 247-266.
    5. Luis Cadarso & Ángel Marín, 2012. "Integration of timetable planning and rolling stock in rapid transit networks," Annals of Operations Research, Springer, vol. 199(1), pages 113-135, October.

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