Scipediacontent: Scipediacontent moved page Draft Content 574655799 to Di Maria et al 2018a

2021-01-25T10:39:20Z

Scipediacontent moved page Draft Content 574655799 to Di Maria et al 2018a

Scipediacontent: Created page with " == Abstract == International audience; Urban transportation of next decade is expected to be disrupted by Autonomous Mobility on Demand (AMoD): AMoD providers will collect r..."

2021-01-25T10:39:17Z

Created page with " == Abstract == International audience; Urban transportation of next decade is expected to be disrupted by Autonomous Mobility on Demand (AMoD): AMoD providers will collect r..."

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== Abstract ==

International audience; 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 otherâs 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 system

== Original document ==

The different versions of the original document can be found in:

* [http://arxiv.org/abs/1808.04813 http://arxiv.org/abs/1808.04813]

* [http://arxiv.org/pdf/1808.04813 http://arxiv.org/pdf/1808.04813]

* [http://dx.doi.org/10.1007/978-3-030-05081-8_12 http://dx.doi.org/10.1007/978-3-030-05081-8_12]

* [https://hal.archives-ouvertes.fr/hal-02150835 https://hal.archives-ouvertes.fr/hal-02150835]

* [http://link.springer.com/content/pdf/10.1007/978-3-030-05081-8_12 http://link.springer.com/content/pdf/10.1007/978-3-030-05081-8_12],
: [http://dx.doi.org/10.1007/978-3-030-05081-8_12 http://dx.doi.org/10.1007/978-3-030-05081-8_12] under the license http://www.springer.com/tdm

* [https://dblp.uni-trier.de/db/journals/corr/corr1808.html#abs-1808-04813 https://dblp.uni-trier.de/db/journals/corr/corr1808.html#abs-1808-04813],
: [https://link.springer.com/chapter/10.1007/978-3-030-05081-8_12 https://link.springer.com/chapter/10.1007/978-3-030-05081-8_12],
: [https://rd.springer.com/chapter/10.1007/978-3-030-05081-8_12 https://rd.springer.com/chapter/10.1007/978-3-030-05081-8_12],
: [https://academic.microsoft.com/#/detail/2885442593 https://academic.microsoft.com/#/detail/2885442593]

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Scipediacontent: Scipediacontent moved page Draft Content 574655799 to Di Maria et al 2018a

Scipediacontent: Created page with " == Abstract == International audience; Urban transportation of next decade is expected to be disrupted by Autonomous Mobility on Demand (AMoD): AMoD providers will collect r..."