scholarly journals Design and Implementation of Intelligent Vehicle Control System Based on Internet of Things and Intelligent Transportation

2022 ◽  
Vol 2022 ◽  
pp. 1-11
Author(s):  
Zhihui Hu ◽  
Hai Tang
Keyword(s):  
Internet Of Things ◽  
Traffic Safety ◽  
Intelligent Transportation System ◽  
New Technologies ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Economic Losses ◽  
The Road ◽  
Use Of Resources ◽  
Internet Of Things Technology

With the improvement of urbanization and the continuous expansion of transportation scale, traffic problem has become an important problem in our life. How to ensure traffic safety has become the key issue for the government to implement social management. Nowadays, Internet of Things (IOT) technology is widely used in the industrial technology field. It will have a great impact on human production and life. Intelligent transportation system is a research field involving many high and new technologies. This paper proposes an intelligent transportation system based on Internet of Things technology. This paper presents the optimal design structure of intelligent transportation system based on Internet of Things technology. The experimental results show that the intelligent transportation system can effectively realize the information interaction between the vehicle and the control center and understand the road conditions in advance. At the same time, the intelligent transportation system can improve the driving speed of vehicles on the road, make effective use of resources, reduce economic losses during vehicle operation, and reduce air pollution caused by gasoline emission.

Application of Microcontroller FPGA Technology in Designing Intelligent Transportation System Internet of Things

2014 ◽  
Vol 540 ◽  
pp. 381-384
Author(s):  
Wei Xia Guo ◽  
Jie Hong Luo ◽  
Xue Mei Hu
Keyword(s):  
Internet Of Things ◽  
Traffic Control ◽  
Intelligent Transportation System ◽  
Control Level ◽  
Information Service ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Simulation Design ◽  
System Effect ◽  
Internet Of Things Technology

Application of the Internet of things technology in intelligent traffic control field will improve the intelligent traffic control level and the level of information service. FPGA design consists of design input, comprehensive, functional simulation (simulation), design, timing simulation (simulation), configuration of six steps. The paper presents application of microcontroller FPGA technology in designing intelligent transportation system Internet of things. Experimental results show that the proposed method has high in intelligent traffic control system effect.

A Study on the System Architecture and Key Technologies of Telematics Based on 3G

2013 ◽  
Vol 756-759 ◽  
pp. 1220-1224
Author(s):  
Li Fang Tang ◽  
Chuan Jin Wang
Keyword(s):  
Internet Of Things ◽  
System Architecture ◽  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Key Technologies ◽  
Internet Of Things Technology ◽  
At Home

Telematics, the application of Internet of Things technology in the intelligent transportation system, has attracted keen attention of research mechanism at home and abroad. By introducing the basic conception of Telematics, the paper makes a summary and research on the technologies adopted in the system architecture of Telematics and put an emphasis on the solution of some key technologies.

Fuel-optimal path finding algorithm using traffic information at urban intersection

2019 ◽  
Author(s):  
Jooin Lee ◽  
Hyeongcheol Lee
Keyword(s):  
Fuel Consumption ◽  
Intelligent Transportation System ◽  
Optimal Path ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Traffic Model ◽  
Traffic Information ◽  
Traffic Condition ◽  
Decision Algorithm ◽  
The Road

Intelligent Transportation System (ITS) is actively studied as the sensor and communication technology in the vehicle develops. The Intelligent Transportation System collects, processes, and provides information on the location, speed, and acceleration of the vehicles in the intersection. This paper proposes a fuel optimal route decision algorithm. The algorithm estimates traffic condition using information of vehicles acquired from several ITS intersections and determines the route that minimizes fuel consumption by reflecting the estimated traffic condition. Simplified fuel consumption models and road information (speed limit, average speed, etc.) are used to estimate the amount of fuel consumed when passing through the road. Dynamic Programming (DP) is used to determine the route that fuel consumption can be minimized. This algorithm has been verified in an intersection traffic model that reflects the actual traffic environment (Korea Daegu Technopolis) and the corresponding traffic model is modeled using AIMSUN.

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