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Information 2016, 7(3), 43; doi:10.3390/info7030043

Real-Time Hybrid In-Station Bus Dispatching Strategy Based on Mixed Integer Programming

School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China
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Academic Editor: Willy Susilo
Received: 23 May 2016 / Revised: 5 July 2016 / Accepted: 8 July 2016 / Published: 13 July 2016
(This article belongs to the Section Information Applications)
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Abstract

The actual bus headway often deviates from the planned departure frequency because of external factors, such as traffic conditions and public transport demand, leading to transit resource waste and reducing the quality of service. In view of the existing shortcomings of the current dispatching strategy, a mixed integer programming model, integrating a bus-holding and stop-skipping strategy, is constructed to improve transit service with a minimum cost. The real-time optimal holding and stop-skipping strategies can be obtained by solving the proposed model using the Lagrangian relaxation algorithm. A numerical example is conducted using real transit GPS (Global Position System) and IC (Intelligent Card) data in Harbin. The results show that compared to a single control strategy, the proposed hybrid model is a better trade-off between the quality of the transit service and the operation cost. Notably, such a strategy would produce a minimal passengers’ average travel time coefficient. It is a great help for promoting the transit service level and increasing competitiveness. View Full-Text
Keywords: public transit; bus scheduling; holding; stop-skipping; mixed integer programming public transit; bus scheduling; holding; stop-skipping; mixed integer programming
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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An, S.; Zhang, X. Real-Time Hybrid In-Station Bus Dispatching Strategy Based on Mixed Integer Programming. Information 2016, 7, 43.

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