Design of Highway Intelligent Transportation System Based on the Internet of Things and Artificial Intelligence

被引:7
作者
Cui, Yang [1 ]
Lei, Dongfei [2 ]
机构
[1] Harbin Univ Sci & Technol, Sch Measurement & Commun Engn, Harbin 150080, Peoples R China
[2] Harbin Univ, Sch Civil Engn, Harbin 150086, Peoples R China
关键词
Intelligent transportation systems; Artificial intelligence; Inspection; Internet of Things; Vehicle dynamics; Road traffic; Pricing; artificial intelligence; smart city; intelligent transportation; system design; BLOCKCHAIN TECHNOLOGY; SMART TRANSPORTATION; IOT; NETWORK;
D O I
10.1109/ACCESS.2023.3275559
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
At present, the transportation industry is developing rapidly. Studying intelligent highway systems in the Internet of Things (IoT) context is of practical significance. This paper aims to promote the comprehensive integration of modern information technology with transportation facility management and operation management. Firstly, the fundamental nature and laws of IoT and intelligent transportation are studied. Based on the current situation, the feasibility of developing intelligent transportation based on the IoT technology of the highway is analyzed. Secondly, the design requirements of the highway Intelligent Transportation System (ITS) are analyzed. Then, the overall architecture of the highway ITS is designed by comprehensively using various advanced information, communication, and control technologies guided by demand analysis and relying on the technology platform of the IoT. It is identified as three layers: a perceptual layer, a transport layer, and an application layer. Finally, the main application function design of the highway ITS is carried out. The results show that: 1) the efficiency and effectiveness of the maintenance management system in dealing with emergencies before equipment failure is much higher than that of the traditional highway management system; 2) after using the updated system, user experience satisfaction and executive experience satisfaction have improved. It is more ideal than traditional highway traffic processing methods; and 3) expectation of the public for the innovative system designed here is 4.8. It reveals that the proposed intelligent transportation system meets the expectation of the majority of the public for highway traffic management. The purpose of this paper is to promote the development of transportation informatization and intelligence, improve the efficiency of the transportation system, and enhance the safety of transportation through IoT information technology.
引用
收藏
页码:46653 / 46664
页数:12
相关论文
共 36 条
[1]   Artificial intelligence-based vehicular traffic flow prediction methods for supporting intelligent transportation systems [J].
Boukerche, Azzedine ;
Tao, Yanjie ;
Sun, Peng .
COMPUTER NETWORKS, 2020, 182
[2]   IMG/M v.5.0: an integrated data management and comparative analysis system for microbial genomes and microbiomes [J].
Chen, I-Min A. ;
Chu, Ken ;
Palaniappan, Krishna ;
Pillay, Manoj ;
Ratner, Anna ;
Huang, Jinghua ;
Huntemann, Marcel ;
Varghese, Neha ;
White, James R. ;
Seshadri, Rekha ;
Smirnova, Tatyana ;
Kirton, Edward ;
Jungbluth, Sean P. ;
Woyke, Tanja ;
Eloe-Fadrosh, Emiley A. ;
Ivanova, Natalia N. ;
Kyrpides, Nikos C. .
NUCLEIC ACIDS RESEARCH, 2019, 47 (D1) :D666-D677
[3]   Crash Risks Evaluation of Urban Expressways: A Case Study in Shanghai [J].
Cheng, Zeyang ;
Yuan, Jinghui ;
Yu, Bo ;
Lu, Jian ;
Zhao, Yi .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (09) :15329-15339
[4]   Classifying the traffic state of urban expressways: A machine-learning approach [J].
Cheng, Zeyang ;
Wang, Wei ;
Lu, Jian ;
Xing, Xue .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2020, 137 :411-428
[5]   A swarm intelligence-based machine learning approach for predicting soil shear strength for road construction: a case study at Trung Luong National Expressway Project (Vietnam) [J].
Dieu Tien Bui ;
Nhat-Duc Hoang ;
Viet-Ha Nhu .
ENGINEERING WITH COMPUTERS, 2019, 35 (03) :955-965
[6]   Smart logistics based on the internet of things technology: an overview [J].
Ding Yangke ;
Jin Mingzhou ;
Li Sen ;
Feng Dingzhong .
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS, 2021, 24 (04) :323-345
[7]   DESIGNING A SMART TRANSPORTATION SYSTEM: AN INTERNET OF ThINGS AND BIG DATA APPROACH [J].
Jan, Bilal ;
Farman, Haleem ;
Khan, Murad ;
Talha, Muhammad ;
Din, Ikram Ud .
IEEE WIRELESS COMMUNICATIONS, 2019, 26 (04) :73-79
[8]   The construction of smart city information system based on the Internet of Things and cloud computing [J].
Jiang, Dingfu .
COMPUTER COMMUNICATIONS, 2020, 150 :158-166
[9]   Big data algorithms and applications in intelligent transportation system: A review and bibliometric analysis [J].
Kaffash, Sepideh ;
An Truong Nguyen ;
Zhu, Joe .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2021, 231
[10]  
Karami Z., 2020, Transportation Engineering, V2, P100013, DOI DOI 10.1016/J.TRENG.2020.100013