AVPark: Reservation & Cost Optimization Based Cyber-Physical System for Long-range Autonomous Valet Parking (L-AVP)

Khalid, Muhammad, Cao, Yue, Aslam, Nauman, Raza, Mohsin, Moon, Alun and Zhou, Huan (2019) AVPark: Reservation & Cost Optimization Based Cyber-Physical System for Long-range Autonomous Valet Parking (L-AVP). IEEE Access, 7. pp. 114141-14153. ISSN 2169-3536

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Official URL: https://doi.org/10.1109/access.2019.2930564

Abstract

The Autonomous Vehicle (AV) is an emerging product of intelligent transportation system. This paper proposes a new parking cost optimization scheme for long-range autonomous valet parking (L-AVP), namely AVPark. The L-AVP selects a drop-off point (as the temporary reference point for people tofetch the AV for travelling purpose) for AV. The user leaves AV at drop-off spot and the AV finds out the most optimal Car Parks (CPs) itself. The AVPark provides an AV with the most optimal car park considering the parking price, fuel consumption and distance to a vacant parking space. AVPark aims to minimize the walking distance for drivers, and also the round-trip durationfor AV from drop-off point to car park through combination of weighted values and heuristic approach. By facilitating the drop-off point that is newly brought into the emerging scenario, an optimization scheme is proposed to minimize the total cost for fuel consumption and travelling time using the weighted value analysis. Results show that AVPark optimized the total trip duration, walking distance and cost.

Item Type: Article
Uncontrolled Keywords: Autonomous Parking, Optimization, Autonomous Driving, Reservation
Subjects: G400 Computer Science
G500 Information Systems
G600 Software Engineering
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Elena Carlaw
Date Deposited: 17 Jul 2019 12:54
Last Modified: 11 Oct 2019 13:02
URI: http://nrl.northumbria.ac.uk/id/eprint/40047

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