Scipediacontent: Scipediacontent moved page Draft Content 629994058 to Franco et al 2017a

2021-01-28T17:45:46Z

Scipediacontent moved page Draft Content 629994058 to Franco et al 2017a

Scipediacontent: Created page with " == Abstract == The global growth in urbanisation increases the demand for services including road transport infrastructure, presenting challenges in terms of mobility. Optim..."

2021-01-28T17:45:43Z

Created page with " == Abstract == The global growth in urbanisation increases the demand for services including road transport infrastructure, presenting challenges in terms of mobility. Optim..."

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== 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 document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.24963/ijcai.2017/776 http://dx.doi.org/10.24963/ijcai.2017/776]

* [https://www.ijcai.org/proceedings/2017/0776.pdf https://www.ijcai.org/proceedings/2017/0776.pdf]

* [https://dblp.uni-trier.de/db/conf/ijcai/ijcai2017.html#McCluskeyVF17 https://dblp.uni-trier.de/db/conf/ijcai/ijcai2017.html#McCluskeyVF17],
: [https://www.ijcai.org/proceedings/2017/776 https://www.ijcai.org/proceedings/2017/776],
: [http://eprints.hud.ac.uk/id/eprint/32112 http://eprints.hud.ac.uk/id/eprint/32112],
: [https://pure.hud.ac.uk/en/publications/automated-planning-for-urban-traffic-management-demonstration https://pure.hud.ac.uk/en/publications/automated-planning-for-urban-traffic-management-demonstration],
: [https://core.ac.uk/display/82967352 https://core.ac.uk/display/82967352],
: [https://academic.microsoft.com/#/detail/2624925384 https://academic.microsoft.com/#/detail/2624925384]

* [ ]

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Franco et al 2017a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 629994058 to Franco et al 2017a

Scipediacontent: Created page with " == Abstract == The global growth in urbanisation increases the demand for services including road transport infrastructure, presenting challenges in terms of mobility. Optim..."