Self-speed and headway measurement in highway traffic from onboard video footage
Date issued
2012
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Václav Skala - UNION Agency
Abstract
We present a method to automatically collect data about distance and speed of vehicles ahead of a car
participating in highway traffic. The method should support the registration of traffic in front of a driving car
over long periods of time in order to be able to detect over-persistent congestion (OPC) situations. The method
requires no specialized devices; it is based on a simple video stream from any (low-cost) camera mounted near
the front window of a car. The data is used to fine-tune traffic flow models in order to determine the conditions
for the emergence and the dissipation of traffic jams more accurately. The paper deals with the performance of
the vehicle tracking method itself and presents a criterion for over-persistent traffic jams applied to the data. The
outlook towards a driver’s advisory system to reduce traffic congestion (and thus time loss and environmental
load) is discussed as well.
Description
Subject(s)
dopravní statistiky, automatický sběr dat, detekce aut, měření rychlosti
Citation
WSCG '2012: Poster Papers Proceedings: The 20th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in cooperation with EUROGRAPHICS: Plzen, Czech Republic, June 26-28, 2012, p. 1-4.