TY -的A2 Macioszek Elżbieta AU - Elsagheer穆罕默德,萨米尔a . AU - AlShalfan哈立德·a . PY - 2021 DA - 2021/05/27 TI -智能交通管理系统基于互联网的车辆(IoV) SP - 4037533六世- 2021 AB -当前时代的快速提高和技术的进步。需要改进的最基本领域之一是交通信号，因为它构成了交通系统的核心。随着智慧城市的发展，这种需求变得越来越严格。不幸的是，道路交通目前被非常古老的交通信号(三色信号)控制，尽管人们努力发展和改善交通流量。传统的交通信号存在着交叉口时间管理效率低下的问题;它们不能对某些环境条件免疫，比如下雨;他们也没有办法优先安排紧急车辆。车载自组网(vehicle Ad-hoc Networks, VANET)和车联网(Internet of Vehicles, IoV)等新技术使车辆能够与附近的车辆以及专用的基础设施进行无线通信。本文在现有VANET和车联网的基础上，提出了一种适合未来交通系统和智慧城市的新型交通管理系统。在本文中，我们提出了智能交通管理系统(ITMS)和智能交通信号(STS)控制器的体系结构。 We present local traffic management of an intersection based on the demands of future Smart Cities for fairness, reducing commute time, providing reasonable traffic flow, reducing traffic congestion, and giving priority to emergency vehicles. Simulation results showed that the proposed system outperforms the traditional management system and could be a candidate for the traffic management system in future Smart Cities. Our proposed adaptive algorithm not only significantly reduces the average waiting time (delay) but also increases the number of serviced vehicles. Besides, we present the implemented hardware prototype for STS. SN - 0197-6729 UR - https://doi.org/10.1155/2021/4037533 DO - 10.1155/2021/4037533 JF - Journal of Advanced Transportation PB - Hindawi KW - ER -