A Real Time Parking Reservation System Based on Vehicular Cloud Computing

Parishan M. Ismael, Harman Y. Ibrahim, A. Al-Khalil
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Abstract

the increased number of vehicles in a high density population area is an issue especially when these areas are unorganized in term of vehicles parking facilities. Having good automated road management and smart parking reservation systems can help to decrease traffic congestion, fuel consumption and save the driver’s time. This paper introduces the concepts of Vehicular Cloud Computing to design and implement a real time parking reservation system. The proposed system is typically built upon OMNeT++ and SUMO Simulators by integrating Bellman-Ford and Dijkstra algorithms, to get the shortest path(s) about available parking spaces in a particular geographic area. The proposed system has also taken into consideration the authentication issue to prevent unauthorized parking.
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基于车载云计算的实时车位预约系统
在人口密度高的地区,车辆数量的增加是一个问题,特别是当这些地区的车辆停放设施缺乏组织时。拥有良好的自动道路管理和智能停车预约系统可以帮助减少交通拥堵、燃料消耗和节省驾驶员的时间。本文引入车载云计算的概念,设计并实现了一个实时车位预约系统。提出的系统通常建立在omnet++和SUMO模拟器上,通过集成Bellman-Ford和Dijkstra算法,以获得特定地理区域内可用停车位的最短路径。拟议的系统也考虑到认证问题,以防止非法停车。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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