An AI Planning Tool for Region Wide Urban Traffic Control. McCluskey, T. L., Vallati, M., Chrpa, L., Tachmazidis, I., & Magazzeni, D. In 2016.
abstract   bibtex   
The global growth in urbanisation increases the demand for services including road transport infrastructure, presenting challenges in terms of mobility. Optimising the exploitation of urban road network, while attempting to minimise the effects of traffic emissions, is a great challenge. SimplyfAI is a UK research council grant funded research project which is aimed towards solving air quality problems caused by road traffic emissions. Large cities such as Manchester struggle to meet air quality limits as the range of available traffic management devices is limited. In the study, we are investigating the application of linked data to enrich environmental and traffic data feeds, and we are using this with automated planning tools to enable traffic to be managed at a region level. The management will have the aim of avoiding air pollution problems before they occur. The first step in this project has been to create an automated planning tool which can reason with traffic flows within a large Urban Region, and will be the subject of the ICAPS demonstration.
@InProceedings{icaps16-demo-4,
  author =   {Thomas L. McCluskey and Mauro Vallati and Lukas Chrpa and Ilias Tachmazidis and Daniele Magazzeni},
  title =    {An AI Planning Tool for Region Wide Urban Traffic Control},
  year =     {2016},
  abstract = {The global growth in urbanisation increases the demand for services including road transport infrastructure, presenting challenges in terms of mobility. Optimising the exploitation of urban road network, while attempting to minimise the effects of traffic emissions, is a great challenge. SimplyfAI is a UK research council grant funded research project which is aimed towards solving air quality problems caused by road traffic emissions. Large cities such as Manchester struggle to meet air quality limits as the range of available traffic management devices is limited. In the study, we are investigating the application of linked data to enrich environmental and traffic data feeds, and we are using this with automated planning tools to enable traffic to be managed at a region level. The management will have the aim of avoiding air pollution problems before they occur. The first step in this project has been to create an automated planning tool which can reason with traffic flows within a large Urban Region, and will be the subject of the ICAPS demonstration.}
}
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