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 language||English (US)|
|Title of host publication||2016 International Conference on Computing, Networking and Communications, ICNC 2016|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|State||Published - Mar 23 2016|
|Event||International Conference on Computing, Networking and Communications, ICNC 2016 - Kauai, United States|
Duration: Feb 15 2016 → Feb 18 2016
|Name||2016 International Conference on Computing, Networking and Communications, ICNC 2016|
|Conference||International Conference on Computing, Networking and Communications, ICNC 2016|
|Period||2/15/16 → 2/18/16|
Bibliographical noteFunding 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).
© 2016 IEEE.
Copyright 2016 Elsevier B.V., All rights reserved.