Towards Autonomy: Cost-effective Scheduling for Long-range Autonomous Valet Parking (LAVP)

Khalid, Muhammad, Cao, Yue, Zhang, Xu, Han, Chong, Peng, Linyu, Aslam, Nauman and Ahmad, Naveed (2018) Towards Autonomy: Cost-effective Scheduling for Long-range Autonomous Valet Parking (LAVP). In: IEEE Wireless Communications and Networking Conference, 15-18 April 2018, Barcelona, Spain.

[img]
Preview
Text (Full text)
PID5175981.pdf - Accepted Version

Download (1MB) | Preview

Abstract

Continuous and effective developments in Autonomous Vehicles (AVs) are happening on daily basis. Industries nowadays, are interested in introducing less costly and highly controllable AVs to public. Current so-called AVP solutions are still limited to a very short range (e.g., even only work at the entrance of car parks). This paper proposes a parking scheduling scheme for long-range AVP (LAVP) case, by considering mobility of Autonomous Vehicles (AVs), fuel consumption and journey time. In LAVP, Car Parks (CPs) are used to accommodate increasing numbers of AVs, and placed outside city center, in order to avoid traffic congestions and ensure road safety in public places. Furthermore, with positioning of reference points to guide user-centric long-term driving and drop-off/pick-up passengers, simulation results under the Helsinki city scenario shows the benefits of LAVP. The advantage of LAVP system is also reflected through both analysis and simulation.

Item Type: Conference or Workshop Item (Paper)
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Yue Cao
Date Deposited: 18 Jan 2018 12:30
Last Modified: 01 Aug 2021 08:46
URI: http://nrl.northumbria.ac.uk/id/eprint/33138

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics