DocumentCode :
5850
Title :
Understanding Bicycle Dynamics and Cyclist Behavior From Naturalistic Field Data (November 2012)
Author :
Dozza, Marco ; Fernandez, Alicia
Author_Institution :
Dept. of Appl. Mech., Chalmers Univ. of Technol., Goteborg, Sweden
Volume :
15
Issue :
1
fYear :
2014
fDate :
Feb. 2014
Firstpage :
376
Lastpage :
384
Abstract :
As technology advances, motorized vehicles employ newer, more intelligent systems to improve drivers´ safety and mobility. The evolution of these systems is supported by increasingly accurate models for driver behavior and vehicle dynamics. Despite the significant role of nonmotorized vehicles such as bicycles in traffic accidents, the evolution of in-vehicle intelligent systems has no counterpart for bicycles. Part of the reason is that, to date, models for bicyclist behavior are absent and models for bicycle dynamics are limited. This paper presents a platform for collecting field data from bicycles and shows how such data can support the development of intelligent systems by offering novel insights into bicycle dynamics and bicyclist behavior.
Keywords :
bicycles; road accidents; road traffic; vehicle dynamics; bicycle dynamics; bicyclist behavior; cyclist behavior; driver behavior; in-vehicle intelligent systems; intelligent systems; intelligent systems development; motorized vehicles; naturalistic field data; nonmotorized vehicles; traffic accidents; vehicle dynamics; Acceleration; Bicycles; Cameras; Sensor phenomena and characterization; Vehicle dynamics; Bicycle dynamics; bicyclist behavior; cycling safety; intelligent systems; naturalistic data; vulnerable road users;
fLanguage :
English
Journal_Title :
Intelligent Transportation Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1524-9050
Type :
jour
DOI :
10.1109/TITS.2013.2279687
Filename :
6595621
Link To Document :
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