Modelling overtaking strategy and lateral distance in car-to-cyclist overtaking on rural roads: A driving simulator experiment
Journal article, 2019
A driving simulator study was designed to assess driver decision-making during the overtaking. The 37 drivers who participated in the study each performed seven overtaking manoeuvres with oncoming traffic. Out of the 259 overtaking manoeuvres, 168 were flying and 91 were accelerative. Binary logistic-regression models with mixed effects predicted the type of overtaking strategy (flying or accelerative). Driving speeds were found to significantly affect the strategy. The overall performance of the models predicting the strategy was 85–90%. Models were also developed for predicting the lateral comfort distance. The results show that the lateral comfort distance is mostly affected by the longitudinal distance between the subject vehicle and the oncoming vehicle, the longitudinal distance between the subject vehicle and the cyclist, and the presence of an oncoming vehicle—as well as by the drivers’ characteristics (sensation seeking in flying overtaking manoeuvres and ordinary violations in accelerative manoeuvres). The root mean square error, which was used to assess the performance of the models, ranged from 0.56 to 0.62.
In conclusion, the models predicting the overtaking strategy performed reasonably well, while the models predicting lateral distance did not provide accurate predictions. The models predicting overtaking strategy may support (1) the development and evaluation of active safety systems, (2) the design of automated driving, and (3) policy making.
Overtaking Cyclists Driver behaviour Driving simulator Active safety systems Automated driving
Delft University of Technology
Giulio Bianchi Piccinini
Chalmers, Mechanics and Maritime Sciences, Vehicle Safety
University of Tsukuba
Olycksanalys och prevention
Transportation Research Part F: Traffic Psychology and Behaviour
1369-8478 (ISSN)Vol. 63 226-239
Safety in automated driving (ADS): modelling interaction between road-users and automated vehicles
Chalmers, 2018-01-01 -- 2019-12-31.
Areas of Advance
Transport Systems and Logistics
Gerontology, specialising in Medical and Health Sciences