Exploring the Influence of Simulated Road Environments on Cyclist Behavior

Xu, Jianwei; Lin, Yingzi; Schmidt, D N

doi:10.20870/ijvr.2017.17.3.2897

Cited by 8 publications

(2 citation statements)

References 25 publications

(16 reference statements)

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“…Furthermore, it enables user engagement and allows subjective analysis of participants to better understand their behavior and preferences to the changes in simulated environments [41]. For instance, [69] was able to evaluate 30 participants' behaviors in an IVE, by designing a straight path with four sections of varying traffic conditions. Through this experiment, results suggest that the existence of a bike lane in low traffic conditions significantly improved cyclist lane-keeping performance [69].…”

Section: Bicycle Simulator With Ive Studymentioning

confidence: 99%

“…For instance, [69] was able to evaluate 30 participants' behaviors in an IVE, by designing a straight path with four sections of varying traffic conditions. Through this experiment, results suggest that the existence of a bike lane in low traffic conditions significantly improved cyclist lane-keeping performance [69]. A more recent study compared cycling behaviors in an IVE between a keyboard controlled bicycle and an instrumented bicycle where participants could pedal.…”

Section: Bicycle Simulator With Ive Studymentioning

confidence: 99%

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Roadway Design Matters: Variation in Bicyclists' Psycho-Physiological Responses in Different Urban Roadway Designs

Guo¹,

Tavakoli²,

Robartes³

et al. 2022

Preprint

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As a healthier and more sustainable way of mobility, cycling has been advocated by literature and policy. However, current trends in bicyclist crash fatalities suggest deficiencies in current roadway design in protecting these vulnerable road users. The lack of cycling data is a common challenge for studying bicyclists' safety, behavior, and comfort levels under different design contexts. To understand bicyclists' behavioral and physiological responses in an efficient and safe way, this study uses a bicycle simulator within an immersive virtual environment (IVE). Offthe-shelf sensors are utilized to evaluate bicyclists' cycling performance (speed and lane position) and physiological responses (eye tracking and heart rate (HR)). Participants bike in a simulated virtual environment modeled to scale from a real-world street with a shared bike lane (sharrow) to evaluate how introduction of a bike lane and a protected bike lane with pylons may impact perceptions of safety, as well as behavioral and psycho-physiological responses. Results from 50 participants show that the protected bike lane design received the highest perceived safety rating and exhibited the lowest average cycling speed. Furthermore, both the bike lane and the protected bike lane scenarios show a less dispersed gaze distribution than the as-built sharrow scenario, reflecting a higher gaze focus among bicyclists on the biking task in the bike lane and protected bike lane scenarios, compared to when bicyclists share right of way with vehicles. Additionally, heart rate change point results from the study suggest that creating dedicated zones for bicyclists (bike lanes or protected bike lanes) has the potential to reduce bicyclists' stress levels.

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Section: Bicycle Simulator With Ive Studymentioning

confidence: 99%

Section: Bicycle Simulator With Ive Studymentioning

confidence: 99%