A decentralised management of an autonomous demand responsive transport mode is considered, where more than one passengers may be associated to a vehicle. No advanced seat reservation is required by clients appearing in the network in a continuous Poisson stream aiming at an immediate departure. A potential waiting time is associated with customers, in case no vehicle is available by their arrival, as well a tolerated trip detour threshold. Meanwhile, vehicles travel on the network transporting passengers while searching for prospective clients. Two different schemes, employing fully autonomous and manually driven cars are considered. A comparative study is presented, quantifying the performance of each structure. Moreover, the efficacy of each vehicle scheme is compared with a similar one employing a greater number of vehicles in service where each vehicle has an increased passenger capacity. Client-vehicle interaction forms an asynchronous, dynamical, spatio-temporal system the evolution of which is represented through an event-driven approach. Client metrics such as client initial waiting time, abandonment rate, trip detours etc. are measured as well vehicle indicators providing information on the vehicle productivity.
CITATION STYLE
Lioris, J. (2018). Collective cars in cities: Optimal management in real time through DES approach. In Advances in Intelligent Systems and Computing (Vol. 597, pp. 1133–1144). Springer Verlag. https://doi.org/10.1007/978-3-319-60441-1_106
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