The Overall Structure of IOV and the Research of the Unsolved Key Technology of IOV in Intelligent Transportation System

2014 ◽  
Vol 721 ◽  
pp. 52-55 ◽  
Author(s):  
Fan Li ◽  
Yang Jian ◽  
Ran Zhao
Keyword(s):  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Internet Of Vehicles ◽  
Key Technology ◽  
Key Technologies

Internet of Vehicles is the basis of the application of intelligent transportation system .This article has carried on the analysis and discussion about the concept of IOV, overall structure and the key technologies which are desperately need to be solved to promote application and development of IOV system.

scholarly journals Key technologies of intelligent transportation based on image recognition

2020 ◽  
Vol 17 (3) ◽  
pp. 172988142091727
Author(s):  
Zeyou Chen ◽  
Yangyang Su ◽  
Yong Liu ◽  
Jiazhen Huang ◽  
Wuwen Cao
Keyword(s):  
Image Recognition ◽  
Template Matching ◽  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Recognition System ◽  
Transportation System ◽  
Vertical Projection ◽  
Plate Number ◽  
Number Recognition ◽  
Key Technologies

With the development of economy, the research of urban intelligent transportation system is becoming more and more important. The research and development of plate number recognition system is an important factor to realize the intelligence and modernization of transportation system. It uses each car to have a unique plate number and recognizes the vehicle number through the vehicle image captured by the camera. On the basis of image recognition, this article takes plate number image as the research object and discusses the key technologies of plate number recognition system. First, this article uses image preprocessing technology to process images to improve image quality. Second, the plate number location algorithm based on the connected region search is analyzed. According to the characteristics of the plate number itself, the regional features of the plate number are extracted to locate the plate number accurately. Then, an improved vertical projection-based plate number character segmentation method is proposed to segment plate number characters. Finally, combined with character characteristics, the template matching method is used to recognize plate number characters. The simulation results show that, on the basis of image recognition, this article studies the key technologies of plate number recognition system, which effectively improves the performance of the system and makes the recognition of plate number more effective and accurate.

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.

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.

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