DocumentCode :
169620
Title :
A Study on Density Map Based Crash Analysis
Author :
Dongwook Lee ; Minsoo Hahn
Author_Institution :
Digital Media Lab., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
fYear :
2014
fDate :
6-9 May 2014
Firstpage :
1
Lastpage :
3
Abstract :
Travel path of vehicles contains valuable information on real-time traffic environment and situation. Recently, due to the technology advances, collecting travel paths of vehicles became easier. In this paper, we tried to extract the crash related information from the vehicle trajectories. We assumed that the distribution of vehicle trajectories in opposite directions will have relation with the accident and performed an exploratory study using bicycle GPS data. The bicycle GPS data were collected from a segregated bicycle track including accident black spots. Collected data were divided into two groups according to the heading, and utilized to the construction of the density maps. Based on the density map, an intersection map which indicates the intersection ratio was built. The intersection ratio was compared with the crash risk and it showed minor relation.
Keywords :
Global Positioning System; bicycles; road accidents; road traffic; road vehicles; accident black spot; bicycle GPS data; bicycle track; density map based crash analysis; intersection map; intersection ratio; traffic environment; vehicle trajectory distribution; vehicle travel path; Accidents; Bicycles; Global Positioning System; Roads; Trajectory; Vehicle crash testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Applications (ICISA), 2014 International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4799-4443-9
Type :
conf
DOI :
10.1109/ICISA.2014.6847341
Filename :
6847341
Link To Document :
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