Designing robust routes for demand-responsive transport systems |
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| Institution: | 1. Department of Transport and Planning, Delft University of Technology, 2600 AA Delft, The Netherlands;2. Transdev, Stationsplein 13, 1211 EX Hilversum, The Netherlands;3. Department of Transport and Planning, Delft University of Technology, P.O. Box 5048, 2600 AA Delft, The Netherlands;4. Department of Applied Mathematics, Delft University of Technology, Mekelweg 4, 2628 CD Delft, The Netherlands;1. Parsons Corporation, 100 M Street, South East, Washington, DC 20003, United States;2. Department of Civil & Environmental Engineering, University of Maryland, College Park, 1173 Martin Hall, College Park, MD 20742, United States;1. Massachusetts Institute of Technology, United States;2. Fujitsu Laboratories, Ltd, Japan |
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| Abstract: | In this study, we propose an innovative concept for robust demand-responsive transportation (DRT) systems where vehicles may deviate from the planned route to accept late requests, which are unknown during the planning stage. We propose a new formulation of the problem as a stochastic mixed integer program and describe an efficient heuristic procedure that embeds a tabu search approach in a scheme for merging different scenario solutions. The computational results demonstrate the validity of the heuristic and provide useful managerial insights into DRT systems, thereby showing the value of incorporating uncertainty into the planning process. |
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| Keywords: | Demand-responsive transit Stochastic programming Uncertainty |
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