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 was a UK research council grant funded project which was 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 investigated the application of linked data to enrich environmental and traffic data feeds, and we used 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. This demo focuses on the planning component, and in particular the engineering and validation aspects, that were pivotal for the success of the project.
Original language | English |
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Title of host publication | Proceedings of the 2017 International Joint Conference on Artificial Intelligence |
Editors | Carles Sierra |
Publisher | International Joint Conferences on Artificial Intelligence |
Pages | 5238-5240 |
Number of pages | 3 |
ISBN (Electronic) | 9780999241103 |
Publication status | Published - 19 Aug 2017 |
Event | 26th International Joint Conference on Artificial Intelligence - Melbourne Convention Centre, Melbourne, Australia Duration: 19 Aug 2017 → 25 Aug 2017 Conference number: 26 https://ijcai-17.org/ (Link to Conference Website ) |
Conference
Conference | 26th International Joint Conference on Artificial Intelligence |
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Abbreviated title | IJCAI 2017 |
Country/Territory | Australia |
City | Melbourne |
Period | 19/08/17 → 25/08/17 |
Internet address |
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