A Diploma Thesis titled ‘Comparative analysis of young drivers’ behaviour in normal and simulated conditions in interurban road‘ was presented by Marios Nikas in January 2014. This Diploma Thesis aims to compare the behavior of young drivers in normal and simulated driving conditions. Data were collected through an experimental process on a driving simulator but also on real traffic conditions, in which all the participants drove in both cases the same driving scenarios. Lognormal regression methods were developed for the identification of the impact of driving environment (simulated and real traffic conditions), basic driver characteristics (mileage, age, gender), as well as the driving style (average acceleration, deceleration and standard deviations of them) to the average vehicle speed change. Through model implementation, it was revealed that absolute values of drivers’ traffic performance vary between simulated and real driving conditions. On the contrary, relative differences of driver behaviour at the two driving environments remain mostly the same. More precisely, speed difference between fast and slow drivers is the same at the two driving environments, as is also speed difference the same at the two driving environments between drivers talking and not talking to the co-driver.
Comparative analysis of young drivers’ behaviour in normal and simulated conditions in interurban road 2014
agouma
2017-02-04T21:43:54+00:00
January 31st, 2014|Categories: Knowledge|Tags: driving simulator, young drivers|
Related Posts
-
Driving Automation Systems Penetration and Traffic Safety: Implications for Infrastructure Design and Policy, December 2024
November 21st, 2024 | Comments Off on Driving Automation Systems Penetration and Traffic Safety: Implications for Infrastructure Design and Policy, December 2024 -
Explainable macroscopic and microscopic influences of COVID-19 on naturalistic driver aggressiveness derived from telematics through SHAP values of SVM and XGBoost algorithms, February 2025
November 21st, 2024 | Comments Off on Explainable macroscopic and microscopic influences of COVID-19 on naturalistic driver aggressiveness derived from telematics through SHAP values of SVM and XGBoost algorithms, February 2025 -
Peter Sweatman – Approaches to Road Safety: Evolution, Challenges, and Emerging Technologies, January 2025
November 21st, 2024 | Comments Off on Peter Sweatman – Approaches to Road Safety: Evolution, Challenges, and Emerging Technologies, January 2025