Parking Lot Allocation Based on Matching Theory using Prediction-based Optimal Vehicle Routing

T. Nakazato, T. Namerikawa

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

The purpose of this paper is to relax traffic congestion caused by the decrease in vehicle speed in case of a driver searching for a parking lot in traffic network, by using Smart Parking System. Smart Parking System is a system that allocates parking lot considering both the driver's preference and the parking lot manager's preference in advance. At that time, driver should know the optimal route and its time from currrent location to each parking lot. In this paper, Smart Parking System consider the road condition in traffic network and present the driver time by the optimal route from the driver's current location to each parking lot. Then, the parking lot allocation is determined by using matching theory considering both the driver's preference including information of optimal route and its time and the parking lot manager's preference. Finally, the effectiveness is confirmed by numerical simulations and results of parking lot allocation using optimal vehicle routing.

本文言語English
ホスト出版物のタイトルICCAS 2019 - 2019 19th International Conference on Control, Automation and Systems, Proceedings
出版社IEEE Computer Society
ページ1004-1009
ページ数6
ISBN(電子版)9788993215182
DOI
出版ステータスPublished - 2019 10
イベント19th International Conference on Control, Automation and Systems, ICCAS 2019 - Jeju, Korea, Republic of
継続期間: 2019 10 152019 10 18

出版物シリーズ

名前International Conference on Control, Automation and Systems
2019-October
ISSN(印刷版)1598-7833

Conference

Conference19th International Conference on Control, Automation and Systems, ICCAS 2019
国/地域Korea, Republic of
CityJeju
Period19/10/1519/10/18

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ サイエンスの応用
  • 制御およびシステム工学
  • 電子工学および電気工学

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