Urban road transport is a major civilisational and economic challenge, affecting quality of life and economic activity. Addressing these challenges requires a multidisciplinary approach and sustainable urban planning strategies to mitigate the negative effects of traffic in cities.

In this paper, we will introduce an extension of one of the most popular macroscopic traffic simulation models, the Payne-Whitham model.

We will investigate how this model, originally designed to model highway traffic on straight road segments, can be adapted to more realistic conditions with arbitrary road network graphs and multiple intersections with traffic signals.

Furthermore, we will showcase the practical application of this extension in experiments aimed at optimising traffic signal settings.

For computational reasons, these experiments involve the adoption of surrogate models for approximating our extended Payne-Whitham model, and subsequently, we utilise various optimisation algorithms, e.g. SLSQP, resulting in the identification of traffic signal settings that enhance the average speed of cars, thereby facilitating smoother traffic flow.

M. Cartier van Dissel, P. Gora, D. Manea, A Payne-Whitham model of urban traffic networks in the presence of traffic lights and its application to traffic optimisation, pre-print (2024).