Vehicle speed measurement model for video-based systems

Advanced analysis of road traffic data is an essential component of today’s intelligent transportation systems. This paper presents a video-based vehicle speed measurement system based on a proposed mathematical model using a movement pattern vector as an input variable. The system uses the intrusio...

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Bibliographic Details
Published in:Computers & electrical engineering 2019-06, Vol.76, p.238-248
Main Authors: Javadi, Saleh, Dahl, Mattias, Pettersson, Mats I.
Format: Article
Language:English
Subjects:
Automobiles
Global positioning systems
GPS
Intelligent transportation systems
Intrusion
Machine vision
Mathematical analysis
Mathematical models
Motion analysis
Pattern recognition
Probability density functions
Satellite navigation systems
Speed measurement system
Traffic information
Traffic speed
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Summary:Advanced analysis of road traffic data is an essential component of today’s intelligent transportation systems. This paper presents a video-based vehicle speed measurement system based on a proposed mathematical model using a movement pattern vector as an input variable. The system uses the intrusion line technique to measure the movement pattern vector with low computational complexity. Further, the mathematical model introduced to generate the pdf (probability density function) of a vehicle’s speed that improves the speed estimate. As a result, the presented model provides a reliable framework with which to optically measure the speeds of passing vehicles with high accuracy. As a proof of concept, the proposed method was tested on a busy highway under realistic circumstances. The results were validated by a GPS (Global Positioning System)-equipped car and the traffic regulations at the measurement site. The experimental results are promising, with an average error of 1.77 % in challenging scenarios.
ISSN:0045-7906
1879-0755
1879-0755
DOI:10.1016/j.compeleceng.2019.04.001