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A bicycle simulator for the evaluation of traffic control strategies in urban environments

Authors: Keler, Andreas; Grigoropoulos, Georgios; Kaths, Heather; Hosseini, Seyed A.; Malcolm, Patrick; Kaths, Jakob; Busch, Fritz; +1 Authors

A bicycle simulator for the evaluation of traffic control strategies in urban environments

Abstract

{"references": ["Abadi M. G., Hurwitz D. S., Sheth M., McCormack E. and Goodchild A. Factors impacting bicyclist lateral position and velocity in proximity to commercial vehicle loading zones: Application of a bicycling simulator Accident Analysis & Prevention, 2019, 125, pp. 29-39.", "Kaths H., Keler A., Kaths J. and Busch F. Analyzing the behavior of bicyclists using a bicycle simulator with a coupled SUMO and DYNA4 simulated environment EPiC Series in Computing, 2019, 62, pp. 199-205.", "Kwon, D.-S., Yang G.-H., Lee C.-W., Shin J.-C., Park Y., Jung B., Lee D. Y., Lee K., Han S.-H. and Yoo B.-H. KAIST interactive bicycle simulator Proceedings 2001 ICRA, IEEE International Conference on Robotics and Automation, 2001, South Korea, pp. 2313-2318.", "Schramka, F., Arisona S., Joos M. and Erath A. Development of a Virtual Reality Cycling Simulator Journal of Computers, 2018, 13, pp. 603-616."]}

Urban environments often involve the interaction of numerous vulnerable road users both with each other and with motorized road users. Many factors influence the ability of pedestrians and cyclists to efficiently move through such environments, and in order to study these, we use a bicycle simulator to conduct studies with test subjects, evaluating novel traffic control strategies on existing transport infrastructure depicted in Virtual Reality (VR) environments. Two studies are conducted and their quantitative (trajectories of the test subjects) and qualitative (questionnaire responses) results are analyzed. We discuss the first insights into and usefulness of conducting bicycle simulator studies, both with and without simulated road users, particularly as it relates to the approval and planning phases of infrastructure elements and traffic control strategies.

Keywords

traffic control, microscopic traffic flow simulation, bicycle infrastructure, traffic efficiency, bicycle simulator, ddc: ddc:

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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