首页 | 本学科首页   官方微博 | 高级检索  
     


Cooperative car parking using vehicle-to-vehicle communication: An agent-based analysis
Affiliation:1. Department of Computer Science & IT, La Trobe University, Australia;2. School of IT, Deakin University, Australia;1. The Robot Vision Lab, Islamabad, Pakistan;2. Islamia College University, Peshawar, Pakistan;3. Department of Computer Science, Sarhad University of Science and Technology, Peshawar, Pakistan;4. School of Electronic Engineering, Xidian University, Xi''an, China;5. Department of Embedded Systems Engineering, College of Information and Technology, Incheon National University, Republic of Korea;6. Department of Computer Science, Bahria University, Islamabad, Pakistan;1. Human-Computer Interaction Group, University Centre Eurípides of Marília, Marília, São Paulo, Brazil;2. Brazilian Institute of Information in Science and Technology, Brasília, Distrito Federal, Brazil;3. Department of Computing, Federal University of São Carlos, São Carlos, Brazil;1. China Sustainable Transportation Center, Room 1903, CITIC Building, No. 19 Jianguomenwai Avenue, Beijing 100004, China;2. School of Architecture, Tsinghua University, Room500, Beijing 100084, China;3. The Energy Foundation Beijing Office, China;1. Institute for Management Research, Radboud University, Nijmegen, The Netherlands;2. Leona Chanin Career Development Chair, Faculty of Architecture and Town Planning, Technion - Israel Institute of Technology, Haifa, Israel
Abstract:In this paper, we introduce a decentralized car parking approach for vast car park areas based on cooperation among vehicles through vehicle-to-vehicle communication, called Cooperative Car Parking (CoPark). In CoPark, the task of finding car parking spaces inside a large car parking area is done via smart agents in vehicles opportunistically cooperating with each other to locate parking spaces as near as possible to the final destination with reduced searching time. We comprehensively investigate a range of car parking circumstances and situations in our simulations to evaluate the proposed CoPark approach. We show that by strategic cooperation between agents in the CoPark approach, greater satisfaction can be achieved in terms of individual and social benefits, in the form of reduced search times for car park spaces and reduced walking distances from where cars are parked to a destination building.
Keywords:
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号