ISPAS: An Intelligent, Smart Parking Allotment System for Travelling Vehicles in Urban Areas

Abstract

Parking is limited in almost every metro city (or urban areas) in the world, which leads to several problems like traffic congestion, air pollution, and driver frustration etc. Several enhancements have been made to overcome such problems (or solve such problems). Best one solution is providing parking to vehicles over the road network to reduce total number of vehicles, accidents, and save environment from greenhouses gases etc. In large parking lots, a driver (or vehicle user) may exit (return) from a parking lot without knowing about new vacant spots (that have been vacated by other users). Besides that, finding an empty parking spot may lead to driver frustration. If some space (a parking lot) is available in parking lot (response by service provider) and this information is passed to vehicle users (by service provider or group vehicles) who are waiting for a parking lot (reside at different location or same distance). If another vehicle occupy that spot before the actual driver, first user will think, service provider response was not right (about this slot). So trust issue raised here. Also due to system updating, parking system require large time to update vacant parking slots, which is also a serious concern. Several approaches (or schemes) have been proposed in past to solve parking problems for urban area but none of them is efficient to provide reliable and efficient service to vehicle user. The contribution of the work is to include/provide the real time parking navigation service and friendly parking information service to the drivers. So to solve such problems, we use a novel approach. In our work, Vehicular Ad Hoc Network (VANET) provides an intelligent service-oriented parking allotment which improves parking space utilization and reduces drivers' frustration over the road network. This work fills this gap, i.e., providing parking demand using vehicular network in consideration. Using our Intelligent and Smart Parking Allotment System (ISPAS), drivers can easily and quickly get their preferred parking lots close to their destination. The proposed system will address the performance analysis via simulation demonstration, efficiency and results. Therefore our results show that, the parking navigation is convenient and efficient, and increases the space utilization in the parking area.