当前位置: X-MOL 学术J. Intell. Transp. Syst. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Special issue on dense surveillance systems for urban traffic
Journal of Intelligent Transportation Systems ( IF 3.6 ) Pub Date : 2020-05-03 , DOI: 10.1080/15472450.2020.1756059
Gwanggil Jeon 1 , Marco Anisetti 2 , Yong Fang 3
Affiliation  

Traffic congestion is a serious problem all over the world, especially during morning and evening rush hours in modern cities. Traffic volumes, roadwork, and weather events contribute to traffic congestion. More than 20 percent of it can be attributed to individual incidents such as traffic collisions. Even though most collisions in urban areas do not cause injuries to vehicle occupants due to low driving speeds, drivers have to stop their vehicles and wait for law enforcement to arrive and identify property damage liability, which unavoidably causes traffic congestion. Dense video surveillance systems can address this problem by capturing real-time videos from different viewpoints along roads and at intersections. Law enforcement can identify traffic accident liability through video recordings afterwards, which would allow drivers to drive away immediately following a collision and avoid causing traffic congestion.

中文翻译:

城市交通密集监控系统特刊

交通拥堵在全世界都是一个严重的问题,尤其是在现代城市的早晚高峰时段。交通量、道路施工和天气事件都会导致交通拥堵。其中超过 20% 可归因于个别事件,例如交通碰撞。尽管大部分市区的碰撞事故不会因为低速而对车辆乘员造成伤害,但驾驶员必须停车等待执法人员到达并确定财产损失责任,这不可避免地造成交通拥堵。密集视频监控系统可以通过从道路沿线和十字路口的不同视点捕获实时视频来解决这个问题。执法部门事后可通过录像识别交通事故责任,
更新日期:2020-05-03
down
wechat
bug