K-means and CRP-based characteristic investigating method of traffic accidents with automated speed enforcement cameras

Shin Hyung Park, Shin Hyoung Park, Oh Hoon Kwon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Traffic speed enforcement cameras are used to reduce speeding, which is a major element in increasing the frequency and severity from traffic accidents in urban areas. Existing researches have focused on the analysis on the efficacy of traffic enforcement cameras such as comparison of the number of traffic accidents and the change in the speed before and after the installation of the cameras in highway areas. This study conducts temporal and spatial analysis of traffic accidents in the sites where speed enforcement cameras are installed for urban area. The findings show that enforcement cameras differently affect the traffic accidents according to the roadway environment. The results of this analysis can be applied to draw up preliminary policy guidelines on the installation of the automated speed enforcement camera.

Original languageEnglish
Title of host publicationAdvanced Multimedia and Ubiquitous Engineering - MUE/FutureTech 2018
EditorsJames J. Park, Kim-Kwang Raymond Choo, Gangman Yi, Vincenzo Loia
PublisherSpringer Verlag
Pages631-637
Number of pages7
ISBN (Print)9789811313271
DOIs
StatePublished - 2019
Event13th International Conference on Future Information Technology, FutureTech 2018 - Salerno, Italy
Duration: 23 Apr 201825 Apr 2018

Publication series

NameLecture Notes in Electrical Engineering
Volume518
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference13th International Conference on Future Information Technology, FutureTech 2018
Country/TerritoryItaly
CitySalerno
Period23/04/1825/04/18

Keywords

  • Automated speed enforcement camera
  • Continuous risk profile
  • Traffic accident
  • Urban area

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