基于车联网和VANET网络的城市道路应急车辆混合交通管理方法

Pouran Soleimani, Mohammad Reza Binesh Marvasti, Parviz Ghorbanzadeh
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引用次数: 2

摘要

实际上,车辆自组织网络(VANET)是一种移动自组织网络(manet),旨在发展车辆网络。VANET提供相邻车辆之间的通信,以及固定车辆和通常安装在路边的设备之间的通信。VANET网络的主要目标是为乘客提供更大的舒适度和安全性。在智能交通系统中,VANET网络是车辆相互连接的核心和有效核心。尽管VANET车辆网络不是一个新问题,但它们仍然面临着操作挑战和基本结构问题,这需要在该领域进行研究。目前VANET网络的问题是它们被限制在一个区域内,并且不可能在该区域之外控制它们。此外,车联网(IoV)是一个由速度、车辆位置和路线信息组成的大型互动网络。在这样的系统中,车辆可以使用GPS、RFID、传感器、图像处理和其他设备通过互联网收集环境信息。这项技术的问题在于,车联网依赖于互联网的使用。物联网和Vanet技术都存在局限性,在救护车或消防车前往目的地等紧急情况下效果不佳。鉴于此,在本文中,我们引入了一种混合模型,旨在克服VANETs的技术限制,并管理更大的突发事件环境。该混合模型能够克服通信限制,为应急车辆到达目的地提供安全可靠的路由方法。通过模拟NS2和SUMO对该方法进行了评估,与之前的方法相比,在端到端延迟、吞吐量、分组投递率和带宽方面证明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Hybrid Traffic Management Method Based on Combination of IOV and VANET Network in Urban Routing for Emergency Vehicles
In fact, Vehicular ad hoc network (VANET) is a type of mobile ad hoc networks (MANETs) created to develop vehicle networks. VANET provides communication between adjacent vehicles, as well as between fixed vehicles and equipment that are usually installed on the side of the road. The main goal of VANET networks is to provide greater comfort and security for passengers. In an intelligent transportation system, the VANET network is a central and effective core for connecting vehicles to each other. Although VANET vehicle networks are not a new issue, they still face operational challenges and fundamental structural problems that necessitate research in this area. The current problem with VANET networks is that they are limited to one area and it is not possible to control them outside the area. Also, Internet of Vehicles (IoV) is a large interactive network consisting of speed, vehicle position, and route information. In such a system, vehicles can collect environmental information via the Internet using GPS, RFID, sensors, image processing, and other devices. The problem with this technology is that the Internet of Vehicle is dependent on the use of the Internet. Both IOV and Vanet technologies face limitations and are ineffective in emergencies such as ambulances or fire trucks heading to their destinations. In view of aforesaid, in this paper, we introduce a hybrid model that aims to overcome the technical limitations of VANETs and manage larger environments for emergencies. This hybrid model is able to overcome communication constraints and provides a safe and secure routing method for emergency vehicles to reach their destination. The proposed method has been evaluated by simulating NS2 and SUMO, and its efficiency has been proven in terms of End-to-End Delay, Throughput, Packet Delivery Ratio, and Bandwidth compared to previous methods.
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