Thesis of Liqun Liu

Strategies for Traffic Light Coordination in Smart Cities


The goal of this PhD is to provide city operators with novel visual tools using smart cities data to set up traffic lights policies that account complex constraints, such as: coordination at the city level; accounting pedestrian priorities and public transportation interruptions; and adaptative to cars flows ranging from very light to heavy traffic. The expected outcome is to allow the quick and efficient implementation of the city’s policy in terms of pollution and support towards carbon-free transport modalities (e.g. electric cars, bikes) and shared modalities (e.g. car pooling, shared bikes). Another outcome is to help traffic experts in measuring/forecasting impact at the city level of a local traffic light modification.

Advisor: Romain Vuillemot
Coadvisor: Stéphane Derrode