Traffic States Detection based on Block Matching

DOI

10.2991/cmfe-15.2015.211How to use a DOI?

Keywords

Traffic state detection; Traffic flow speed; Block matching; Vehicle edge density; Background subtract

Abstract

A traffic states detection method is proposed to represent the road traffic conditions accurately and reduce labor intensive monitoring work in this paper. The edge of image, which is named as edge characteristic, is applied to describe the number of vehicles running on the road, and the average density of vehicle edge pixels is used to substitute the road occupation ratio. Meanwhile block matching method is used for estimating the speed of traffic flow. According the extracted feature parameters, a classifier is designed to classify the traffic states in three categories (congested, slow, and smooth). The experimental results showed the proposed algorithm is robust.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qinglin Jiang
AU  - Zaijun Zhang
AU  - Lin Wang
PY  - 2015/07
DA  - 2015/07
TI  - Traffic States Detection based on Block Matching
BT  - Proceedings of the International Conference on Chemical, Material and Food Engineering
PB  - Atlantis Press
SP  - 874
EP  - 877
SN  - 2352-5401
UR  - https://doi.org/10.2991/cmfe-15.2015.211
DO  - 10.2991/cmfe-15.2015.211
ID  - Jiang2015/07
ER  -