Autonomous vehicles (AVs) are expected to widely re-define mobility in the future, transforming many solutions into autonomous services. Nonetheless, this development requires an expected transition phase of several decades in which some regions will provide sufficient infrastructure for AV movements, while others will not support AVs yet. In this work, we propose an operational planning model for mobility services operating in regions with AV-ready and not AV-ready zones. To this end, we model detailed automated driving areas and consider a heterogeneous fleet comprised of three vehicle types: autonomous, conventional, and dual-mode. While autonomous and conventional vehicles can only operate in their designated areas, dual-mode vehicles service zone-crossing demands in which both human and autonomous driving are required. For such a hybrid network, we introduce a new mathematical planning model based on a site-dependent variant of the heterogeneous dial-a-ride problem (HDARP). With a numerical study for the city of Delft, The Netherlands, we provide insights into how operational costs, service levels, and fleet utilization develop under 405 scenarios of multiple infrastructural settings and technology costs.

Original languageEnglish
Title of host publicationProceedings of the 2018 IEEE Intelligent Transportation Systems Conference (ITSC 2018)
Place of PublicationPiscataway, NJ, USA
PublisherIEEE
Pages1325-1330
ISBN (Electronic)978-1-7281-0323-5
DOIs
Publication statusPublished - 2018
Event21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018 - Maui, United States
Duration: 4 Nov 20187 Nov 2018
Conference number: 21
https://www.ieee-itsc2018.org/

Conference

Conference21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018
Abbreviated titleITSC 2018
CountryUnited States
CityMaui
Period4/11/187/11/18
Internet address

    Research areas

  • Autonomous Vehicles, Autonomous Zones, Dual-Mode Vehicles, Mobility Services, Ride Sharing

ID: 51292976