Analysing the impacts of parking price policies with the introduction of connected and Automated Vehicles
Singh, Mohit Kumar ORCID: 0000-0001-7736-5583 , Haouari, Rajae, Papazikou, Evita, Sha, Hua, Chaudhry, Amn and Morris, Andrew (2023) Analysing the impacts of parking price policies with the introduction of connected and Automated Vehicles. In: Transportation Research Procedia - TRA Lisbon 2022 Conference Proceedings Transport Research Arena (TRA Lisbon 2022), 14th - 17th November 2022, Lisboa, Portugal. Elsevier, Amsterdam, pp. 2294-2301. ISSN 2352-1457 (Print), 2352-1465 (Online) (doi:https://doi.org/10.1016/j.trpro.2023.11.719)
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Abstract
It is known that parking prices can affect multiple characteristics such as traffic flow, delays, and congestion. Connected and autonomous vehicles (CAVs) do not need drivers and may return to the origin, if necessary, avoiding parking fees. However, if the destination area is not near the origin, it may not be economically viable to return. Hence, in the present study, four scenarios were tested to find the optimal parking strategy: (i) enter and park inside area (ii) enter, drop off and return to the origin (iii) enter, drop off and return to outside parking and (iv) enter and drive around. Different parking prices were used to determine the suitable option. The ‘Balanced’ scenario with multiple parking choices was found to be better compared to other scenarios, where the flow and travel distance were moderately (-19 and -26.3%) affected. Emissions were reduced significantly with CAVs.
Item Type: | Conference Proceedings |
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Title of Proceedings: | Transportation Research Procedia - TRA Lisbon 2022 Conference Proceedings Transport Research Arena (TRA Lisbon 2022), 14th - 17th November 2022, Lisboa, Portugal |
Uncontrolled Keywords: | parking price; connected and autonomous vehicles; simulation; parking strategies |
Subjects: | H Social Sciences > H Social Sciences (General) H Social Sciences > HE Transportation and Communications Q Science > QA Mathematics |
Faculty / School / Research Centre / Research Group: | Faculty of Business |
Related URLs: | |
Last Modified: | 26 Mar 2024 12:38 |
URI: | http://gala.gre.ac.uk/id/eprint/46472 |
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