Dynamic Evolution and Optimisation of an Urban Collective Taxis Systems by Discrete-Event Simulation

Dynamic Evolution and Optimisation of an Urban Collective Taxis Systems by Discrete-Event Simulation: We are interested in an independent, affordable demand responsive transportation structure involving high quality of service and comfort similar to individual cars. The reduced fares will be achieved by raising the number of car passengers while keeping vehicles as busy as possible. The high standard of service will be ensured by a smart allocation of passengers to vehicles whilst optimal car itineraries will be defined according to their present state and the current traffic conditions. Moreover, the detours which clients can tolerate will be controlled and client waiting times will be taken into consideration. The system covers an entire urban area (including the suburbs), ensuring autonomous door-to-door services and flexible operational modes while it is destined for all classes of commuters. Various strategies on the system management and dimensioning will be examined and each resulting performance will be appraised (in balance with the pending costs). Metrics on client detours, client waiting times, vehicle occupancy etc. are provided. Optimisation of all the real-time controls governing the system (e.g. client acceptance, vehicle itinerary, idle vehicle management etc.) will be achieved within a virtual but reliable environment by a made-to-measure discrete event decision tool.