Intelligent Mobility for Smart Cities: Driver Behaviour Models for Assessment of Sustainable Transport

Hussein Dia, Sakda Panwai

Abstract: The convergence of physical and digital worlds is creating unprecedented opportunities to enhance the travel experience for millions of people every day. A key to the success of these systems is a good understanding of driver behaviour under the influence of travel information. This paper presents the application of a new generation of driver behaviour models, based on neural agent (neugent) techniques, to describe drivers' decisions and compliance with travel information. The new models enhance the capabilities of existing simulation tools in modelling the behaviour of heterogeneous drivers and dealing with the vagueness inherent in driver decision making and the information received from sensors and the road environment. This paper also describes the traffic simulation and practical applications of the new models and how they serve to assess the impacts of smart and sustainable transport interventions.