A B C D E F G H I J K L M N O P Q R S T U V W X Y Z all

pred cident technology full details

external website icon

Champion: Mathieu d'Aquin
Senior Research Fellow Email Icon Website Icon RDF Icon
Twitter Icon SlideShare Icon

Participant(s):Ilaria Tiddi

Timeline:15 Feb 2014 - 31 Mar 2014

Share:

Pred-Cident

Visualise where accident happen

Pred-Cident shows and predict where accidents are most likely to happen based on previous history of accidents. Relying on data from police reports of accidents, Pred-Cident calculates the areas that have a higher probability that an accident might happen at a certain time of the week. This makes it possible to find interesting phenomena, such as the impact of certain recurring events or of particular types of places (schools, stadiums) on accidents, as well as to see how behaviours of drivers vary with time.

View By

Research Themes

Jobs

Junior Front-end and CMS Web Developer

Knowledge Media Institute (KMi)
21,843 - 24,565
Based in Milton Keynes
Temporary contract for 12 months

The Knowledge Media Institute (KMi) within STEM is looking for a Junior Front-end & CMS Web Developer to join their team at the OU that runs a large aggregator of research papers called CORE, and a...

CONTACT US

Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
MK7 6AA
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support

COMMENT

If you have any comments, suggestions or general feedback regarding our website, please email us at the address below.

Email: KMi Development Team