Abstract
It has been revealed that cruising for parking is one of the main sources of road congestion and pollution, as well as daily discomfort and stress experienced by drivers while on road to attend their everyday businesses. Therefore, there is a substantial need to design efficient car parking mechanisms that can be easily deployed into future intelligent transportation systems. In this paper, we tackle this important issue and we propose a new Reservation-based multi-Objective SmArt Parking approach denoted as ROSAP. Our approach uses a simulated annealing based meta-heuristic to optimize the parking slot assignment problem formulated as a multi-objective Integer Linear Program (ILP). ROSAP helps drivers to find the most suitable parking slot within their areas of interest and with respect to their specified constraints. In order to gauge the effectiveness of our proposal, we conducted extensive simulation experiments considering a real-like environment. Results show significant gains in both request satisfaction ratio and parking occupancy while keeping a minimal walking distance between the parking and the user's destination, in comparison with greedy approaches where each vehicle is assigned a free parking slot, which is closer to the destination.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
