We discuss Demand Adaptive Systems, a class of hybrid transportation systems that integrate traditional bus transportation with on demand service. DAS lines serve a set of compulsory stops, each within a given time window. Optional stops are activated on demand and optimally scheduled in order to respect the time window constraints. We present an efficient meta-heuristic algorithm which exploits the mathematical structure of the problem. A lower bound based on Lagrangean Relaxation is provided. Computational results on realistic data confirm the efficacy of the approach.

Adaptive memory programming for a class of demand responsive transit systems

NONATO, Maddalena;
2001

Abstract

We discuss Demand Adaptive Systems, a class of hybrid transportation systems that integrate traditional bus transportation with on demand service. DAS lines serve a set of compulsory stops, each within a given time window. Optional stops are activated on demand and optimally scheduled in order to respect the time window constraints. We present an efficient meta-heuristic algorithm which exploits the mathematical structure of the problem. A lower bound based on Lagrangean Relaxation is provided. Computational results on realistic data confirm the efficacy of the approach.
Flexible transit; Meta-heuristics
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/1692096
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