Discovering hot routes using license plate number data
Traffic camera plays an important role in intelligent transportation systems(ITS).A major function of traffic camera is license plate number recognition.This paper focuses on discovering city-wide hot routes using license plate number data recorded by traffic cameras deployed throughout the city.This task is challenging due to the following two reasons: First,a vehicle trajectory could usually contribute to only a small portion of a hot route.Second,the high degree of uncertainty of license plate number data makes the existing mining algorithms in-effective.Aiming at these problems,a two-phase method is proposed: First,it extracts hot routes by aggregating the license plate number data from multiple traffic cameras and vehicles.Second,it compresses the mined hot routes based on a clustering and ranking algorithm.We have evaluated our method based on real-world license plate number data from a city-wide traffic camera system.
hot route traffic camera license plate number data intelligent transportation systems
Feng Lin Rongrong Jiang Mingqi Lv Dongxian Shi Wenkang Huang
Department of Information Technology,Zhejiang Institute of Economics and Trade,Hangzhou 310018,China Department of Information,Zhejiang TV & Radio University,Hangzhou 310012,China College of Computer Science,Zhejiang University of Technology,Hangzhou 310023,China
国际会议
浙江宁波
英文
83-92
2019-07-06（万方平台首次上网日期，不代表论文的发表时间）