AMoDSim: An Efficient and Modular Simulation Framework for Autonomous Mobility on Demand

Abstract : 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
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https://hal.archives-ouvertes.fr/hal-02150835
Contributor : Andrea Araldo <>
Submitted on : Friday, June 7, 2019 - 2:51:35 PM
Last modification on : Monday, January 13, 2020 - 1:13:12 AM

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Andrea Di Maria, Antonella Di Stefano, Andrea Maria, Andrea Araldo, Giovanni Morana, et al.. AMoDSim: An Efficient and Modular Simulation Framework for Autonomous Mobility on Demand. IOV 2018: International Conference on Internet of Vehicles, Nov 2018, Paris, France. pp.165-178, ⟨10.1007/978-3-030-05081-8_12⟩. ⟨hal-02150835⟩

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