期刊文献+

我国现行解决交通拥堵的措施分析与发展方向

Analysis on Current Measures to Solve Traffic Congestion and Its Developing
下载PDF
导出
摘要 随着我国汽车保有量增长,城市交通时常出现交通拥堵且交通安全事故数量明显增多,发展智能交通是一项势在必行的措施。文章分析了我国现行解决交通拥堵的措施,分析了智能交通四要素之间的关系,指出了发展智能交通需要解决的几个关键技术问题。 With the growth of car ownership in China, traffic congestion and traffic safety accidents fre-quently occur in urban traffic, it is imperative to develop intelligent transportation. The paper analyzes the existing measures to solve the traffic jam in our country, analyzes the relationship between the four ele-ments of intelligent transportation, and points out several key technical problems that need to be solved in the development of intelligent transportation.
作者 王鹤鹏
出处 《交通节能与环保》 2016年第6期84-86,共3页 Transport Energy Conservation & Environmental Protection
关键词 智能交通 技术问题 交通拥堵 交通事故 intelligent transportation technical problem traffic jam traffic accident
  • 相关文献

参考文献1

二级参考文献48

  • 1Yanowitz S, Bruckstein A. A New Method for Image Segmentation[J].Computer Vision Graphics and Image Processing,1989,46(4):82-95.
  • 2Y Park. Shape-resolving Local Thresholding for Object Detection[J]. Pattern Recognition Letters, 2001, 22(5):883-890.
  • 3J M Blosseville, C Krafft, F Lenoir,et al.TITAN:New Traffic Measurements by Image Processing[C].Proc. of IFAC Transportation Systems, 1999,14(1):277-296.
  • 4N Hoose, L G Willumsen. Automatically Extracting Traffic Data from Video-tape Using the CLIP4 Parallel Image Processor[J].Pattern Recognition Letters, 1987,6(3):199-213.
  • 5T Abramczuk. A Microcomputer based TV Detector for Road Traffic[J].In Symposium on Road Research Program,T,1984,3(2):145-147.
  • 6W Kasprzak. An Iconic Classification Scheme for Video-based Traffic Sensor Tasks[C]. W Skarbek. CAIP 2001, Springer, Berlin, 2001.725-732.
  • 7M Fathy, M Y Siyal. An Image Detection Technique Based on Morphological Edge Detection and Background Differencing for Real-time Traffic Analysis[J]. Pattern Recognition Letters, 1995, 16(2):1321-1330.
  • 8B Ross. A Practical Stereo Viasion System[C].Proceedings of International Conference on Computer Vision and Pattern Recognition,1993,3(5):148-153.
  • 9Joon Woong Lee. A Machine Vision System for Lane-Departure Detection[J].Computer Vision and Image Understanding,2002,86(1):52-78.
  • 10M Bertozzi, A Broggi, S Castelluccio. A Real-time Oriented System for Vehicle Detection[J]. Journal of System Architecture, 1997, 43(3):317-325.

共引文献79

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部