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

Khalid, Muhammad and Cao, Yue and Aslam, Nauman and Raza, Mohsin and 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. 114141-114153. ISSN 2169-3536

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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 to fetch the AV for traveling 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 duration for AV from the drop-off point to car park through a 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 traveling time using the weighted value analysis. The results show that AVPark optimized the total trip duration, walking distance, and cost.

Item Type:
Journal Article
Journal or Publication Title:
IEEE Access
Additional Information:
©2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2500
Subjects:
ID Code:
135628
Deposited By:
Deposited On:
22 Jul 2019 08:30
Refereed?:
Yes
Published?:
Published
Last Modified:
24 Nov 2020 07:44