Optimized pricing & scheduling model for long range autonomous valet parking

Muhammad Khalid, Yue Cao, Nauman Aslam, Chakkaphong Suthaputchakun, Muhammad Arshad, Waqar Khalid

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

Intelligent transportation system has moved one step forward to autonomy. Effective development of autonomous vehicles is happening rapidly. Industries nowadays are interested in developing less costly and highly controllable autonomous vehicles. As a result, these autonomous vehicles will be rapidly increasing on roads in near future. Due to an upward trend in a number of vehicles, need of car Park has also shown a higher demand in past few years. Remote car parks are used to accommodate increasing numbers of vehicles and are away from the urban area and do not disturb normal traffic routines. It helps to ensure road safety for humans and get rid of traffic congestion in busy areas. In long-range autonomous valet parking, usually user leaves their vehicle at drop-off spot and it autonomously moves towards Car Park. Traffic congestion should be alleviated by lowering down the parking prices for car parks. This paper has proposed an optimized pricing & scheduling model for long range autonomous valet parking. The proposed model minimizes parking fee by comparing benchmark with optimized parking fee and selecting minimum parking fee based on user preferences. The aim to minimize fuel consumption as well as walking distance. The proposed model has been analyzed through simulation and mathematical equations.

Original languageEnglish
Title of host publicationProceedings - 2018 International Conference on Frontiers of Information Technology, FIT 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages65-70
Number of pages6
ISBN (Electronic)9781538693551
ISBN (Print)9781538693568
DOIs
Publication statusPublished - 17 Jan 2019
Event16th International Conference on Frontiers of Information Technology, FIT 2018 - Islamabad, Pakistan
Duration: 17 Dec 201819 Dec 2018

Publication series

NameIEEE FIT
PublisherIEEE
Volume2018
ISSN (Print)2334-3141

Conference

Conference16th International Conference on Frontiers of Information Technology, FIT 2018
CountryPakistan
CityIslamabad
Period17/12/1819/12/18

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