Next Generation - Driving Behaviour Models

The goal of this project is to develop dynamic driving behaviour models that explicitly account for the effects of driver characteristics in his/her decisions alongside the effects of path-plan, network topography and traffic conditions.  In a novel approach, the models will be calibrated by combining experimental data collected from the University of Leeds Driving Simulator (UoLDS) and actual traffic data collected using video recordings.

Aims and objectives

• Investigate the effects of driver characteristics on driving behaviour.
• Develop driving behaviour models that account for driver demographics, attitudes/traits and moods as well as effects of path-plan, network topography and traffic conditions.
• Develop models that capture the state-dependency among driving decisions through advanced model structures.

Project facts

Budget (Intittute for Transport Studies portion): 100,000 Euros

Funding: Marie Curie Career Integration Grant

For further information, please contact: c.f.choudhury@leeds.ac.uk

Publications and outputs

Papadimitriou, S., Choudhury, C., F., & Hibberd, D. (2016). Investigating the transferability of car-following models between driving simulator and real-life traffic, 14th World Conference on Transport Research, Shanghai, China (forthcoming).