| Title |
AMoDSim: An Efficient and Modular Simulation Framework for Autonomous Mobility on Demand |
| ID_Doc |
42820 |
| Authors |
Di Maria, A; Araldo, A; Morana, G; Di Stefano, A |
| Title |
AMoDSim: An Efficient and Modular Simulation Framework for Autonomous Mobility on Demand |
| Year |
2018 |
| Published |
|
| DOI |
10.1007/978-3-030-05081-8_12 |
| 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. |
| Author Keywords |
Smart mobility; Smart city; Shared mobility; Autonomous vehicles; Simulation |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000657973900012 |
| WoS Category |
Computer Science, Information Systems; Telecommunications; Transportation Science & Technology |
| Research Area |
Computer Science; Telecommunications; Transportation |
| PDF |
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