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Understanding Bicycle Dynamics and Cyclist Behavior from Naturalistic Field Data

Marco Dozza (Institutionen för tillämpad mekanik, Fordonssäkerhet) ; Andre Fernandez (Institutionen för tillämpad mekanik, Fordonssäkerhet ; SAFER - Fordons- och Trafiksäkerhetscentrum )
IEEE transactions on intelligent transportation systems (1524-9050). Vol. 15 (2014), 1, p. 376-384.
[Artikel, refereegranskad vetenskaplig]

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 non-motorized 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 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.

Nyckelord: Bicyclist behaviour, bicycle dynamics, cycling safety, intelligent systems, naturalistic data, vulnerable road users

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Denna post skapades 2013-08-26. Senast ändrad 2014-04-21.
CPL Pubid: 182228


Institutioner (Chalmers)

Institutionen för tillämpad mekanik, Fordonssäkerhet (2005-2017)
SAFER - Fordons- och Trafiksäkerhetscentrum


Elektroteknik och elektronik

Chalmers infrastruktur