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.
|Number of pages||8|
|Journal||CEUR Workshop Proceedings|
|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)