A Road hotspots identification method based on Natural Nearest Neighbor clustering

Abstract

During the last decade, the concept of cluster, has become a popular practice in the field of road safety, mainly for the identification of worst performing areas or time slots also known as hotspots. However, current... [ view full abstract ]

Authors

Qingwen Han (Chongqing University), Yingxiang Zhu (Chongqing University), Lingqiu Zeng (Chongqing University), Lei Ye (Chongqing University), Xueying He (Chongqing University), Xiaoying Liu (Chongqing University), Haotian Wu (Chongqing University), Qingsheng Zhu (Chongqing University)

Topic Areas

Advanced Vehicle Safety Systems , Data Management and Geographic Information Systems , Data Mining and Data Analysis , Incident Management , ITS Field Tests and Implementation , ITS Policy, Design, Architecture and Standards , Modeling, Simulation, and Control of Pedestrians and Cyclists , Public Transportation Management , Simulation and Modeling , Traffic Theory for ITS , Transportation Security , Travel Information, Guidance and Demand Management , Positioning , Road Traffic Management , Traffic Control

Session

We-A7 » Data Mining and Data Analysis II (11:10 - Wednesday, 16th September, La Palma)