The simplyfAI project: Using AI planning in urban traffic management or if at first the representation does not work, try, try and try and again

Thomas L. McCluskey; Mauro Vallati

The simplyfAI project: Using AI planning in urban traffic management or if at first the representation does not work, try, try and try and again

Research output: Contribution to journal › Conference article › peer-review

Abstract

This paper is an experience report on the results of a collaborative one year feasibility study called "SimplyfAI" funded by Innovate UK. This concerned sourcing and enriching urban traffic data, and using this data as inputs to a system to generate urban traffic strategies in order (primarily) to improve air quality. This paper reports on the development surrounding the AI planning component of that work: the engineering and configuration issues that were found in this application. It discusses a range of issues and lessons we learned through the experience of collaborating with end users and technology developers.

Original language	English
Number of pages	8
Journal	CEUR Workshop Proceedings
Volume	1782
Publication status	Published - 16 Jan 2017
Event	34th Workshop of the UK Planning and Scheduling Special Interest Group - University of Huddersfield, Huddersfield, United Kingdom Duration: 15 Dec 2016 → 16 Dec 2016 Conference number: 34 https://plansig2016.wordpress.com/ (Link to Event Website)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

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Cite this

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abstract = "This paper is an experience report on the results of a collaborative one year feasibility study called {"}SimplyfAI{"} funded by Innovate UK. This concerned sourcing and enriching urban traffic data, and using this data as inputs to a system to generate urban traffic strategies in order (primarily) to improve air quality. This paper reports on the development surrounding the AI planning component of that work: the engineering and configuration issues that were found in this application. It discusses a range of issues and lessons we learned through the experience of collaborating with end users and technology developers.",

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AB - This paper is an experience report on the results of a collaborative one year feasibility study called "SimplyfAI" funded by Innovate UK. This concerned sourcing and enriching urban traffic data, and using this data as inputs to a system to generate urban traffic strategies in order (primarily) to improve air quality. This paper reports on the development surrounding the AI planning component of that work: the engineering and configuration issues that were found in this application. It discusses a range of issues and lessons we learned through the experience of collaborating with end users and technology developers.

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The simplyfAI project: Using AI planning in urban traffic management or if at first the representation does not work, try, try and try and again

Abstract

UN SDGs

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