Cited 0 time in webofscience Cited 0 time in scopus

A Method to Distinguish between Congestion and Vehicle Accident Using Traffic Radar

Title
A Method to Distinguish between Congestion and Vehicle Accident Using Traffic Radar
Authors
Son, GukjinKim, JunkwangSong, ChanhoKim, Young-DukKim, HeeKang
DGIST Authors
Kim, Young-Duk; Kim, HeeKang
Issue Date
2018-07-10
Citation
7th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2018, 982-983
Type
Conference
ISBN
9781538674475
Abstract
Individual radars measure range, radial speed, angle, reflectivity, and other parameters of multiple stationary and moving reflectors simultaneously. The measured signal is excellent for acquiring vehicle information on the road. Several studies have proposed identifying accident vehicles on the road by processing radar information. However, it is difficult to identify accident vehicles using a radar information in congested traffic since traffic radar information for accidents are almost the same as those for traffic jams. This study proposes a method to identifying accident vehicles based on an accident decision algorithm that distinguishes between congested and accident vehicles. Experimental results verified that the proposed method's detection accuracy exceeded 95%. We believe the proposed method will enhance future intelligent transportation systems. © 2018 IEEE.
URI
http://hdl.handle.net/20.500.11750/9839
DOI
10.1109/IIAI-AAI.2018.00211
Publisher
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
Files:
There are no files associated with this item.
Collection:
Convergence Research Center for Future Automotive Technology2. Conference Papers


qrcode mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE