Analysis and Design of Urban Traffic Congestion in Urban Intelligent Transportation System Based on Big Data and Internet of Things

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.

Download Full-text

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

Mathematical Problems in Engineering ◽

10.1155/2015/564230 ◽

2015 ◽

Vol 2015 ◽

pp. 1-12 ◽

Cited By ~ 1

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.

Download Full-text

Intelligent Planning and Research on Urban Traffic Congestion

Future Internet ◽

10.3390/fi13110284 ◽

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.

Download Full-text