Analysing the impacts of parking price policies with the introduction of connected and automated vehicles

Singh, Mohit Kumar; Haouari, Rajae; Papazikou, Evita; Sha, Hua; Amn; Chaudhry; Quddus, Mohammed; Thomas, Pete; Morris, Andrew

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.

• Presentation Conference Type: Conference Paper (published)
• Conference Name: TRA Lisbon 2022
• Start Date: Nov 14, 2022
• End Date: Nov 17, 2022
• Acceptance Date: Jun 12, 2022
• Online Publication Date: Dec 13, 2023
• Publication Date: 2023
• Deposit Date: Jun 13, 2024
• Publicly Available Date: Jun 14, 2024
• Publisher: Elsevier
• Volume: 72
• Pages: 2294-2301
• Series Title: TRA Lisbon 2022 Conference Proceedings Transport Research Arena (TRA Lisbon 2022),14th-17th November 2022, Lisboa, Portugal
• Book Title: Transportation Research Procedia
• DOI: https://doi.org/10.1016/j.trpro.2023.11.719
• Public URL: https://uwe-repository.worktribe.com/output/12044291