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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

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Authors

Mohit Kumar Singh

Rajae Haouari

Evita Papazikou

Hua Sha

Amn

Chaudhry

Mohammed Quddus

Pete Thomas

Andrew Morris



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

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