Planning and Scheduling Approaches for Urban Traffic Control

Speaker:  Mauro Vallati – Huddersfield, United Kingdom
Topic(s):  Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing


The 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. Recently, the application of Automated Planning and Scheduling techniques to help in the management of road traffic has been investigated, and a number of approaches are now exploited or ready-to-be exploited in urban areas. The goal of this lecture is to give an overview of the Planning & Scheduling techniques that have been designed to support Urban Traffic Control.

About this Lecture

Number of Slides:  40
Duration:  45 minutes
Languages Available:  English, Italian
Last Updated: 

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