Travel behaviour and game theory: A review of route choice modeling behaviour

Abstract

Route choice models are a vital tool for evaluating the impact of transportation policies and infrastructure improvements, such as the addition of new roads, tolls, or congestion charges. They can also be used to predict traffic flow and congestion levels, which is essential for traffic management and control. The aim of this manuscript is to provide a comprehensive analysis of the effectiveness and limitations of various game theory (GT) based models used in route choice modelling. The manuscript draws upon the theoretical foundations of game theory to explore the complex decision-making processes of travelers in transportation networks, focusing on factors such as travel time, congestion. The manuscript discusses the challenges and opportunities associated with implementing game theory-based models in practice, including the data requirements, model calibration, and computational complexity. These factors are considered in relation to the suitability of different game theory-based models, including cooperative, non-cooperative, and evolutionary games. The comparative critiques presented in this manuscript provide guidance for future research directions in the field of private route choice modelling, aimed at academic researchers, engineers, policymakers, and industrial communities.