Mitigating Traffic Congestion and Accidents in Thailand with Intelligent Transportation System Technology

2011 ◽  
Vol 2239 (1) ◽  
pp. 41-55 ◽  
Author(s):  
Weeradej Cheewapattananuwong ◽  
Pichai Taneerananon ◽  
Takashi Nakatsuji
Keyword(s):  
Traffic Congestion ◽  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Transportation System ◽  
System Technology

Summary of the Development of Intelligent Vehicle and Intelligent Transportation System

2013 ◽  
Vol 631-632 ◽  
pp. 1137-1142
Author(s):  
Zhi Qian Sha ◽  
Jun Liang ◽  
Shi Hao Li
Keyword(s):  
Traffic Congestion ◽  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Safety System ◽  
Intelligent Vehicle ◽  
Active Safety ◽  
Active Safety System ◽  
Development Direction

According to the problem of traffic congestion, intelligent vehicle and intelligent transportation system came into being. This paper mainly introduces the development of intelligent vehicle (IV) and intelligent transportation system(ITS), summarizes the active safety system, expounds the research content of ITS, and makes outlook for the development direction of ITS and IV.

scholarly journals Evaluation of the Feasibility of an Intelligent Transport System for an Urban Area

2021 ◽  
Vol 9 (12) ◽  
pp. 1501-1510
Author(s):  
S. A. Gawande
Keyword(s):  
Traffic Congestion ◽  
Intelligent Transportation System ◽  
New Technology ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Cost Ratio ◽  
Intelligent Transport System ◽  
Intelligent Transport ◽  
Traffic Systems ◽  
Utility Cost

Abstract: The Intelligent Transportation System is one of the burgeoning inventions that uses new technology to solve a variety of issues. Its compatibility with real-world issues in developing nations like India, such as traffic congestion, infrastructure demand, high traffic loads, and non-lane traffic systems. It is critical to assess a technology's potential in order to determine its viability. The goal of this article is to determine the utility cost ratio of implementation so that it may be evaluated without changing the existing infrastructure design. The end result is a utility cost analysis approach that takes social, economic, and environmental issues into account. As a result, the analysis is quickly examined so that the technology may be applied according to its appropriateness. Keywords: Investments, Congestion, Intelligent Transportation System (ITS), Benefits, Traffic.

Application Research of Wireless Sensor Network in Intelligent Transportation System

2010 ◽  
Vol 108-111 ◽  
pp. 1170-1175 ◽  
Author(s):  
Xue Dong Du ◽  
Jiang Tao Ji ◽  
Da Peng Yan
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Traffic Congestion ◽  
Mobile Agents ◽  
Intelligent Transportation System ◽  
Dynamic Network ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Urban Traffic ◽  
Wireless Sensor

The research of using wireless sensor network to settle the problem of urban traffic has become a hotspot in the fields of intelligent transportation system. In this paper, a wireless sensor network model based on mobile agents is proposed. Since mobile agents have characteristics of autonomous collaboration and asynchronous interaction, this model owns the abilities of adapting to the dynamic network changes, reducing the network load and enhancing the data fusion. In the application of the model, the travelers can be guided to choose the right road line through calculation of the predicated value of traffic congestion, so the condition of the traffic congestion can be remitted in some way.

Analysis on Improved Dijkstra Algorithm in Intelligent Transportation System

2013 ◽  
Vol 385-386 ◽  
pp. 877-881
Author(s):  
Hao Yu Wang ◽  
Chao Jun Ji ◽  
Xiao Juan Ji
Keyword(s):  
Real Time ◽  
Shortest Path ◽  
Traffic Congestion ◽  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Dijkstra Algorithm ◽  
Key Technology ◽  
The Core ◽  
The City

Intelligent transportation system (ITS) is a complicated system, and selecting the shortest path is the core of the system. In order to ease traffic congestion of the city, through solving the shortest path, the key technology in realizing the function of ITS, and based on the analysis of traditional Dijkstra algorithm, the paper puts forward the improved algorithm. The new algorithm includes two parts, that is, preprocessing and real-time pruning research, and the effect of pruning totally depends on the division of specific diagram.

scholarly journals A Traffic Prediction for Intelligent Transportation System using Machine Learning

2021 ◽  
Vol 10 (4) ◽  
pp. 166-168
Author(s):  
Geetha V. ◽  
Gomathy C K ◽  
Harshitha T. ◽  
P. Vijay Nagendra Varma
Keyword(s):  
Traffic Control ◽  
Traffic Congestion ◽  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Modern World ◽  
Information Control ◽  
Traffic System ◽  
Intelligent Traffic System ◽  
Long Time

Traffic control has been an issue for a long time from the past. The modern world demands Technology. Now a days cars are one of the main methods of improvement in technology. Intelligent Traffic System is also known as Intelligent Transportation System apply communication and information technology to find the solution for the Traffic control issues. Intelligent Transportation System represents the main problem in transportation. ITS is a program .it is used to improve the efficiency of transportation through advanced technologies by using sensors and communication. Some of the problems like Traffic congestion, Low safety can be solved through this Intelligent Transportation System by Using the Latest techniques in traffic management.ITS is improved by using wireless and wireline communication-based information, control and electronic technologies. Now a days overspeeding is a key issue in the traffic control system to overrule the issue. Dophler Phenomenon is used for speed measurement.

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