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

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AVPark: Reservation & Cost Optimization Based Cyber-Physical System for Long-range Autonomous Valet Parking (L-AVP). / Khalid, Muhammad; Cao, Yue; Aslam, Nauman et al.
In: IEEE Access, Vol. 7, 29.08.2019, p. 114141-114153.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Khalid, M, Cao, Y, Aslam, N, Raza, M, Moon, A & Zhou, H 2019, 'AVPark: Reservation & Cost Optimization Based Cyber-Physical System for Long-range Autonomous Valet Parking (L-AVP)', IEEE Access, vol. 7, pp. 114141-114153. https://doi.org/10.1109/ACCESS.2019.2930564

APA

Vancouver

Khalid M, Cao Y, Aslam N, Raza M, Moon A, Zhou H. AVPark: Reservation & Cost Optimization Based Cyber-Physical System for Long-range Autonomous Valet Parking (L-AVP). IEEE Access. 2019 Aug 29;7:114141-114153. Epub 2019 Jul 23. doi: 10.1109/ACCESS.2019.2930564

Author

Khalid, Muhammad ; Cao, Yue ; Aslam, Nauman et al. / AVPark : Reservation & Cost Optimization Based Cyber-Physical System for Long-range Autonomous Valet Parking (L-AVP). In: IEEE Access. 2019 ; Vol. 7. pp. 114141-114153.

Bibtex

@article{f848785bf50a42f1b6ad5de8c2507b09,
title = "AVPark: Reservation & Cost Optimization Based Cyber-Physical System for Long-range Autonomous Valet Parking (L-AVP)",
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.",
keywords = "Autonomous parking, optimization, autonomous driving, reservation",
author = "Muhammad Khalid and Yue Cao and Nauman Aslam and Mohsin Raza and Alun Moon and Huan Zhou",
note = "{\textcopyright}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. ",
year = "2019",
month = aug,
day = "29",
doi = "10.1109/ACCESS.2019.2930564",
language = "English",
volume = "7",
pages = "114141--114153",
journal = "IEEE Access",
issn = "2169-3536",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

RIS

TY - JOUR

T1 - AVPark

T2 - Reservation & Cost Optimization Based Cyber-Physical System for Long-range Autonomous Valet Parking (L-AVP)

AU - Khalid, Muhammad

AU - Cao, Yue

AU - Aslam, Nauman

AU - Raza, Mohsin

AU - Moon, Alun

AU - Zhou, Huan

N1 - ©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.

PY - 2019/8/29

Y1 - 2019/8/29

N2 - 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.

AB - 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.

KW - Autonomous parking

KW - optimization

KW - autonomous driving

KW - reservation

U2 - 10.1109/ACCESS.2019.2930564

DO - 10.1109/ACCESS.2019.2930564

M3 - Journal article

VL - 7

SP - 114141

EP - 114153

JO - IEEE Access

JF - IEEE Access

SN - 2169-3536

ER -