基于物联网的城市交通改善对策研究

发布时间：2018-09-09 13:38

【摘要】：近年来,随着私家车数量的飞速增长,交通堵塞已经逐渐成为各大中城市交通高峰期的常态。在城市道路等硬件改善空间不大的情况下,通过合理的管理控制措施来改善城市交通系统的软件,将能够更为有效的提升城市交通的服务水平。作为国家重点支持的高科技产业,物联网进入了高速发展的时期,其日新月异的技术为城市交通改善提供了许多新的突破点,但如何将物联网技术更好的融入城市交通之中,尚有许多可探讨之处。目前,物联网技术在城市交通改善中的应用主要集中在智能信号控制和动态交通诱导两个领域。在本文的研究中,我们通过分析城市交通系统的管理控制策略,研究如何能够将物联网技术更好融入到城市交通的管理当中。本文对物联网交通系统的结构、设备和相关技术进行了介绍,并通过对比分析,选用合理可行的技术和设备在研究区域构建了物联网交通系统;在此基础上,通过对研究区域现有交通管理措施弊端的分析,对物联网环境下的交叉口信号控制系统、可变车道信号控制系统、区域交通诱导系统及其之间的协调控制策略进行研究,提出了物联网环境下交叉口感应信号控制、可变车道控制、动态交通诱导、停车诱导等能够改善城市交通的方案,并对方案的可行性进行了分析。文章结合实际,对研究区域内的交通情况进行了仿真,并对改善前后的交通情况进行了对比分析,希望能够将理论与实际相结合,将理论应用到城市交通改善当中。
[Abstract]:In recent years, with the rapid growth of the number of private cars, traffic congestion has gradually become the normal traffic peak in large and medium-sized cities. Under the condition that the hardware such as urban roads has little room for improvement, the software of urban traffic system can be improved by reasonable management and control measures, which will improve the service level of urban traffic more effectively. As a high-tech industry supported by the state, the Internet of things has entered a period of rapid development, and its rapidly changing technology has provided many new breakthrough points for the improvement of urban traffic, but how to better integrate the technology of Internet of things into urban traffic, There is still much to be explored. At present, the application of Internet of things technology in urban traffic improvement mainly focuses on two fields: intelligent signal control and dynamic traffic guidance. In this paper, by analyzing the management and control strategy of urban traffic system, we study how to better integrate the Internet of things technology into urban traffic management. In this paper, the structure, equipment and related technologies of the Internet of things transportation system are introduced, and through comparative analysis, reasonable and feasible technologies and equipment are selected to construct the transportation system of the Internet of things in the study area. Based on the analysis of the drawbacks of the existing traffic management measures in the study area, the intersection signal control system, the variable lane signal control system, the regional traffic guidance system and the coordinated control strategies between them are studied in the environment of the Internet of things. In this paper, the methods of signal control, variable lane control, dynamic traffic guidance and parking guidance for intersections under the environment of Internet of things are proposed to improve urban traffic, and the feasibility of the scheme is analyzed. Combined with the practice, the paper simulates the traffic situation in the study area, and makes a comparative analysis of the traffic situation before and after the improvement. It is hoped that the theory can be combined with the practice and the theory can be applied to the urban traffic improvement.
【学位授予单位】：兰州交通大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U495;TP391.44;TN929.5

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