DescriptionThe current increase in urbanisation, coupled with the socio-economic motivation for increasing mobility, is pushing the transport infrastructure well beyond its capacity. Traditional urban traffic control techniques are struggling to cope with the dramatic rise of traffic, and have limited ability to react. In response, more intelligent control mechanisms are required to better monitor and exploit the available infrastructure. Despite the growing number of studies leveraging on machine learning techniques to perform traffic control tasks, the good old model-based AI is gaining traction, thanks to its ability to provide approaches that can smoothly deal with unusual and unexpected conditions.
In this talk we will focus on the recent application of AI planning to urban traffic control. First, we will look into how urban traffic control is currently performed and what are the main challenges faced. Then, we will present how AI planning techniques have been used to improve common practices, and to provide useful tools for traffic engineers, domain experts, and practitioners.
|21 Sep 2023
|18th International Conference on Information and Communication Technologies in Education, Research, and Industrial Applications
|Degree of Recognition
Documents & Links
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review