Next Generation - Driving Behaviour Models
- Start date: 1 February 2015
- End date: 1 February 2019
- Funder: EU Marie Curie
- Primary investigator: Professor Charisma Choudhury
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.
Budget (Intittute for Transport Studies portion): 100,000 Euros
Funding: Marie Curie Career Integration Grant
For further information, please contact: email@example.com
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).