Urban intelligent parking system based on the parallel theory

Fei Yue Wang, Liu Qing Yang, Jian Yang, Yanli Zhang, Shuangshuang Han, Kai Zhao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

Nowadays, urban parking circumstances are becoming more and more challenging. To solve this problem, many methods have been proposed, such as infrastructure expansion, economic leverage and technical theory. However, these solutions are generally used independently, thus it is infeasible to solve all existing problems. Therefore, a novel and revolutionary solution is urgently required. In this paper, we first comprehensively investigate the background of parking difficulties, and find that all of the current existing solutions are not able to meet the requirements of dynamic, systematization, high efficiency and accuracy. Then we briefly introduce the parallel theory, and propose the intelligent parking system based on the parallel theory, which can provide a systematic intelligent solution to meet the needs of current parking systems. The parallel parking system is made up of three parts, including the artificial system, the computational experiments, and the parallel execution. The proposed parallel parking system not only provides a novel direction to solve the parking problem, but also is an important guidance for the specific implementation of parallel parking theory.

Original languageEnglish (US)
Title of host publication2016 International Conference on Computing, Networking and Communications, ICNC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467385794
DOIs
StatePublished - Mar 23 2016
Externally publishedYes
EventInternational Conference on Computing, Networking and Communications, ICNC 2016 - Kauai, United States
Duration: Feb 15 2016Feb 18 2016

Publication series

Name2016 International Conference on Computing, Networking and Communications, ICNC 2016

Conference

ConferenceInternational Conference on Computing, Networking and Communications, ICNC 2016
Country/TerritoryUnited States
CityKauai
Period2/15/162/18/16

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This work was supported in part by the National Natural Science Foundation of China under Grants 61571020, 61172105 and 61501461; by the National 973 Project under Grant 2013CB336700; by the National 863 Project under Grants 2014AA01A706 and SS2015AA011306; by the Major Project from Beijing Municipal Science and Technology Commission under Grant D151100000115004; and by the Early Career Development Award of SKLMCCS (Y3S9021F34).

Publisher Copyright:
© 2016 IEEE.

Copyright:
Copyright 2016 Elsevier B.V., All rights reserved.

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