4 research outputs found
AMoDSim: An Efficient and Modular Simulation Framework for Autonomous Mobility on Demand
Urban transportation of next decade is expected to be disrupted by Autonomous
Mobility on Demand (AMoD): AMoD providers will collect ride requests from users
and will dispatch a fleet of autonomous vehicles to satisfy requests in the
most efficient way. Differently from current ride sharing systems, in which
driver behavior has a clear impact on the system, AMoD systems will be
exclusively determined by the dispatching logic. As a consequence, a recent
interest in the Operations Research and Computer Science communities has
focused on this control logic. The new propositions and methodologies are
generally evaluated via simulation. Unfortunately, there is no simulation
platform that has emerged as reference, with the consequence that each author
uses her own custom-made simulator, applicable only in her specific study, with
no aim of generalization and without public release. This slows down the
progress in the area as researchers cannot build on each other's work and
cannot share, reproduce and verify the results. The goal of this paper is to
present AMoDSim, an open-source simulation platform aimed to fill this gap and
accelerate research in future ride sharing systems
Theoretical foundations for decision support systems based on reference points
SIGLECNRS RP 350 (57) / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc