Investigating Travel Choice Behaviour: a New Approach Using Interactive Experiments with Driving Simulators

Transport models adopt simplified descriptions of travel behaviour and are used to make forecasts when evaluating transport policy measures (e.g. road pricing, traffic management, and traffic information). This research investigates travel choice behaviour on roads and aims to (i) improve our fundamental understanding of decision processes between interacting agents (drivers), with a final goal to (ii) make better forecasts for improved decision-making regarding transport policies. Specifically, the aim is to develop a novel methodology for describing travel choices in multi-agent systems using concepts from discrete choice theory, experimental economics and game theory.