Intelligent City Traffic Scheduling Optimization Based on Internet of Things Communication

Author:

Jiang Jingwen1ORCID

Affiliation:

1. College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China

Abstract

The application of Internet of Things technology in the construction of smart city traffic system is the inevitable choice of smart city traffic system to promote the development of road traffic in the process of urban development. First of all, the traffic in the city, on the basis of the research background and significance, research on the Internet of Things, and wisdom of the construction of the urban traffic are summarized and analyzed; secondly, on the basis of requirement analysis and feasibility analysis, combined with the principles and goals of the construction of the system, the establishment of the model of urban traffic based on Internet of Things and the city’s architecture based on Internet of Things intelligent urban traffic system and design are put forward. Finally, an improved ant colony algorithm is proposed in the aspect of system optimal path algorithm, and its superiority is verified. The results show that complementary networks can significantly improve the robustness of networks. These conclusions provide a theoretical basis for the construction of smart city public transport network traffic scheduling and provide model support for the operation and management of smart city public transport.

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Development of Ecological Health Tourism Products under the Background of Internet+;Journal of Sensors;2022-09-05

2. Combinatorial test case generation from sequence diagram using optimization algorithms;International Journal of System Assurance Engineering and Management;2022-01-04

3. LEAPS: Load and Emission Performance Characteristics for Sensor-Driven Green Transport Systems;Futuristic Trends in Networks and Computing Technologies;2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3