Modelling and Simulation of Bicycle Dynamics

Shoman, Murad; Imine, Hocine

doi:10.26226/morressier.5e4fe9c06bc493207536f8d1

Cited by 5 publications

(4 citation statements)

References 4 publications

(4 reference statements)

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“…Users, in fact, faithfully reflect the behaviours that they would have in realistic cycling on the road according to attention and workload. This factor is further confirmed by the questionnaires, where 90% of cyclists believe that the simulated scenario and the bicycle itself allow them to feel as if they are moving in reality [62]. Moreover, 80% of the participants, being enclosed by seven screens that provide a wide field of view (FOV) and a lateral and rear view, underline that the graphic fluidity (with FPS never below 60) and By performing a cumulative analysis of the attention data, a 4% difference between the site and simulator (p < 0.03) is observed.…”

Section: Comparisonmentioning

confidence: 64%

The Visual Behaviour of the Cyclist: Comparison between Simulated and Real Scenarios

et al. 2023

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Cyclists are one of the main categories of road users particularly exposed to accident risk. The increasing use of this ecological means of transport requires a specific assessment of cyclist safety in terms of traffic flow and human factors. In this study, a particular visual tracking tool has been used to highlight not only the main critical points of the infrastructure, where a high level of distraction is recorded, but also the various interactions with different road users (pedestrians, vehicles, buses, wheelchairs, cyclists). To confirm the critical aspects of the infrastructure and the trend of workload, a similar circuit was reproduced in a bicycle simulator, which also allowed a meaningful comparison of cycling behaviour. The innovative component of this paper is a comparison between a real test, held in Stockholm, and a simulator where the same scenario has been represented, in order to highlight the objective differences in behaviour. The cycling performance was also evaluated both from an objective point of view, with the count of frames related to each category of visualization, and from a subjective one, through the questionnaires. The results show the crossing as a critical aspect because only 4/3% fixation is required for both simulated and real tests to confirm the significance of the comparison between the two experiments. The high attention rate, resulting from frame-by-frame analysis, also points to a clear difference in the perception of users, who feel with a low workload.

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Section: Comparisonmentioning

confidence: 64%

The Visual Behaviour of the Cyclist: Comparison between Simulated and Real Scenarios

et al. 2023

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“…The analysis of the first questionnaire shows that 7 of the participants had participated in a previous experiment using the same bicycle simulator before the recent improvement [1]. 8 of them declared sensitivity to motion sickness; 5 of them when reading during travelling.…”

Section: E Subjective Validitymentioning

confidence: 99%

“…This paper is an extended version of our previous work on modeling and simulation of bicycle dynamics published in [1] and on subjective validity of bicycle simulators published in [2]. Hereinafter, we present more details on the recent developments of the simulator and the underlying mathematical model, as well as its physical and subjective experimental validation.…”

Section: Introductionmentioning

confidence: 99%

Bicycle Simulator Improvement and Validation

Shoman

Imine

2021

IEEE Access

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In this paper, we present the new features implemented on the bicycle simulator developed by the Perceptions, Interactions, Behaviors and Simulations Lab for road and street users (PICS-L) at Gustave Eiffel University. The added features were deemed necessary to study road-bicycle interactions. We equipped the simulator platform with: three actuators to render the road profile vibrations, an asphalt specimen attached to the rear tire to render the road adhesion, and a new virtual reality environment to render a part of the city of Vanves in France. Simultaneously, we developed a mathematical model with 6 degrees of freedom including the three rotational angles (Yaw, Pitch and Roll) and their influence on vertical, lateral and longitudinal modeling. In order to validate the simulator and the developed model physically and subjectively, we conducted an experiment involving 36 participants who rode the simulator for around 600 meters with full control on the handlebar, pedals and brakes. The improved simulator/mathematical model will be employed to further study bicycle dynamics, cyclist behavior and the interaction with the infrastructure and other road users.

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“…More often than not, accidents involving a bicycle are hazardous for cyclists since they are unprotected against the car's mass. The mass of a typical car is at least an order of magnitude greater than a bicycle, and has top speeds that are considerably faster than bicycle speed, making the impact forces noticeably high during the accidents [2][3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Urban Mid-Block Bicycle Crossings: The Effects of Red Colored Pavement and Portal Overhead Bicycle Crossing Sign

et al. 2022

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This paper aims to investigate the effectiveness of some mid-block bicycle crossing elements by analyzing the drivers’ behavior, when approaching the bicycle crossings in a real road experiments with 18 participants. The eye-tracking instrument has been used to monitor the driver’s visual behavior during the test in an instrumented vehicle with GPS (global positioning system) and an inertial measurement unit (IMU). In particular, the drivers’ gaze was investigated frame by frame while approaching the mid-block bicycle crossings. The results showed that the red colored pavement increased the visibility of the mid-block crossing zone to 65.3% with respect to zebra crossing 59.6%. The drivers’ visual field was also narrowed by the portal overhead bicycle crossing sign and, consequently, drivers reduced their velocity and looked more to the vertical signs by 28%. The drivers’ speed reduction helped drivers to see the mid-block crossing elements from a greater distance with a higher fixation duration.

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Modelling and Simulation of Bicycle Dynamics

Cited by 5 publications

References 4 publications

The Visual Behaviour of the Cyclist: Comparison between Simulated and Real Scenarios

The Visual Behaviour of the Cyclist: Comparison between Simulated and Real Scenarios

Bicycle Simulator Improvement and Validation

Urban Mid-Block Bicycle Crossings: The Effects of Red Colored Pavement and Portal Overhead Bicycle Crossing Sign

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