scholarly journals Calculating the Contribution Rate of Intelligent Transportation System in Improving Urban Traffic Smooth Based on Advanced DID Model

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Ming-wei Li ◽  
Jun Yun ◽  
Na Liu
Keyword(s):  
Traffic Congestion ◽  
Intelligent Transportation System ◽  
Rapid Development ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Urban Traffic ◽  
Evaluation Index System ◽  
Capital City ◽  
Contribution Rate ◽  
Urban City

Recent years have witnessed the rapid development of intelligent transportation system around the world, which helps to relieve urban traffic congestion problems. For instance, many mega-cities in China have devoted a large amount of money and resources to the development of intelligent transportation system. This poses an intriguing and important issue: how to measure and quantify the contribution of intelligent transportation system to the urban city, which is still a puzzle. This paper proposes a matching difference-in-difference model to calculate the contribution rate of intelligent transportation system on traffic smoothness. Within the model, the main effect indicators of traffic smoothness are first identified, and then the evaluation index system is built, and finally the ideas of the matching pool are introduced. The proposed model is illustrated in Guangzhou, China (capital city of Guangdong province). The results show that introduction of ITS contributes 9.25% to the improvement of traffic smooth in Guangzhou. Also, the research explains the working mechanism of how ITS improves urban traffic smooth. Eventually, some strategy recommendations are put forward to improve urban traffic smooth.

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.

scholarly journals Intelligent Planning and Research on Urban Traffic Congestion

2021 ◽  
Vol 13 (11) ◽  
pp. 284
Author(s):  
Qigang Zhu ◽  
Yifan Liu ◽  
Ming Liu ◽  
Shuaishuai Zhang ◽  
Guangyang Chen ◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Road Network ◽  
Intelligent Transportation System ◽  
Road Traffic ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Urban Traffic ◽  
Traffic Planning ◽  
City Development ◽  
Urban Road

For large and medium-sized cities, the planning and development of urban road networks may not keep pace with the growth of urban vehicles, resulting in traffic congestion on urban roads during peak hours. Take Jinan, a mid-sized city in China’s Shandong Province, for example. In view of the daily traffic jam of the city’s road traffic, through investigation and analysis, the existing problems of the road traffic are found out. Based on real-time, daily road traffic data, combined with the existing road network and the planned road network, the application of a road intelligent transportation system is proposed. Combined with the application of a road intelligent transportation system, this paper discusses the future development of urban road traffic and puts forward improvement suggestions for road traffic planning. This paper has reference value for city development, road network construction, the application of intelligent transportation systems, and road traffic planning.

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.

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