Towards Autonomous Valet Parking: A Broader Prospective

Muhammad Khalid, Yue Cao, Kezhi Wang, Piyush Dhawankar, Mohsin Raza

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

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. Currently so-called AVP solutions are still limited to a very short range (e.g., even only work at the entrance of car parks). This chapter 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 congestion 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.
Original languageEnglish
Title of host publicationTowards Sustainable and Economic Smart Mobility
Subtitle of host publicationShaping the Future of Smart Cities
EditorsMahmoud Hashem Eiza, Yue Cao, Lexi Xu
PublisherWorld Scientific Publishing
Chapter6
Number of pages19
ISBN (Print)9781786347855
Publication statusPublished - Dec 2019

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