| dc.contributor.author | Dusparic, Ivana | |
| dc.contributor.author | Cugurullo, Federico | |
| dc.contributor.author | Gueriau, Maxime | |
| dc.contributor.author | Acheampong, Ransford A. | |
| dc.date.accessioned | 2020-12-04T09:50:47Z | |
| dc.date.available | 2020-12-04T09:50:47Z | |
| dc.date.issued | 2020 | |
| dc.date.submitted | 2020 | en |
| dc.identifier.citation | Gueriau, M., Cugurullo, F., Acheampong, R.A. & Dusparic, I., Shared Autonomous Mobility-on-Demand: Learning-based approach and its performance in the presence of traffic congestion, IEEE Intelligent Transportation Systems Magazine, 2020 | en |
| dc.identifier.other | Y | |
| dc.identifier.uri | https://ieeexplore.ieee.org/document/9186028 | |
| dc.identifier.uri | http://hdl.handle.net/2262/94312 | |
| dc.description | PUBLISHED | en |
| dc.description.abstract | Mobility-on-demand (MOD) systems consisting of shared autonomous vehicles (SAVs) are expected to improve the efficiency of urban transportation through reduced vehicle ownership and parking demand. However, several issues related to their implementation remain open, such as unifying the vehicle and ridesharing (RS) assignment with rebalancing (RB) unoccupied vehicles. | en |
| dc.language.iso | en | en |
| dc.relation.ispartofseries | IEEE Intelligent Transportation Systems Magazine; | |
| dc.rights | Y | en |
| dc.subject | Mobility-on-demand | en |
| dc.subject | Shared autonomous vehicles | en |
| dc.subject | Transportation | en |
| dc.subject | Ridesharing | en |
| dc.title | Shared Autonomous Mobility-on-Demand: Learning-based approach and its performance in the presence of traffic congestion | en |
| dc.type | Journal Article | en |
| dc.type.supercollection | scholarly_publications | en |
| dc.type.supercollection | refereed_publications | en |
| dc.identifier.peoplefinderurl | http://people.tcd.ie/duspari | |
| dc.identifier.peoplefinderurl | http://people.tcd.ie/cugurulf | |
| dc.identifier.rssinternalid | 212053 | |
| dc.rights.ecaccessrights | openAccess | |
| dc.subject.TCDTheme | Smart & Sustainable Planet | en |
