Abstract
Decentralized management of an autonomous demand responsive transport system (DRTS) is studied. Clients appear in the network in a continuous Poisson stream, without any prior reservation and aiming at an immediate departure search for an adequate vehicle. When no such vehicle is available, clients decide whether to abandon the system or wait, during a desired period, for another vehicle to come. Meanwhile, vehicles travel along the network, transporting passengers while looking for potential new customers. Dynamically optimised trips are constructed adapted to the current vehicle itinerary and client preferences. Station nodes and durations are decided for idle vehicles. Client-vehicle interaction forms an asynchronous dynamical spatio-temporal system for which an event-driven approach is adopted. Developped strategies are evaluated by a made-to-measure discrete event decision tool. Involving Optimisation and Operation Research methods the best suited configuration for any demand level and system dimensioning is provided.
Original language | English |
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Pages (from-to) | 974-979 |
Number of pages | 6 |
Journal | IFAC-PapersOnLine |
Volume | 49 |
Issue number | 18 |
DOIs | |
State | Published - 1 Jan 2016 |
Externally published | Yes |
Keywords
- Demand responsive transport
- Monte Carlo simulation
- Pareto optimality
- Poisson arrival processes
- asynchronous behaviour
- discrete-event simulation
- event-driven dynamical systems
- parameter optimisation
- performance evaluation
- queueing network model
- routing algorithms
ASJC Scopus subject areas
- Control and Systems Engineering