Business context: — Marseille wants to exploit its datasets and assess potential impact of Big Data Approach for its territory (Agglomeration) — ENGIE R&D Department wants to show its expertise in big data and machine learning solutions based on real issues. Business need: — Big Data / Methodology and Process. — Proof of concept : Provide Decision tools, Analysis tools for “Big” Event Organization and Mobility in urban areas. Actions: — The import and processing of heterogeneous data from Marseille IS or Opendata : weather data, victim’s number of accidents, road characteristics, etc. — Modelization and implementation of a machine learning algorithm to predict the probability of accidents occurrence and the optimal positions of city resources (police, firemen, etc.) Results : — 76 % of prediction accuracy in term of accidents occurrence according to a given scenario (weather and time information) PREDICTIVE ROADS ACCIDENT MAP To enhance the roads safety 02/2016 CRIGEN 1
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Business context:— Marseille wants to exploit its datasets and assess potential impact of Big Data Approach for its territory
(Agglomeration)— ENGIE R&D Department wants to show its expertise in big data and machine learning solutions based
on real issues.
Business need:— Big Data / Methodology and Process.
— Proof of concept : Provide Decision tools, Analysis tools for “Big” Event Organization and Mobility in urban areas.
Actions:— The import and processing of heterogeneous data from Marseille IS or Opendata :
weather data, victim’s number of accidents, road characteristics, etc.— Modelization and implementation of a machine learning algorithm to predict the probability of accidents
occurrence and the optimal positions of city resources (police, firemen, etc.)
Results :— 76 % of prediction accuracy in term of accidents occurrence according to a given scenario (weather
and time information)
PREDICTIVE ROADS ACCIDENT MAPTo enhance the roads safety
02/2016 CRIGEN
202/2016 CRIGEN
PREDICTIVE ROADS ACCIDENT MAPTo enhance the roads safety
Perspectives:— Take into account additional information such as the traffic importance, big events (football match,
festival, etc.) and holidays when learning the prediction model— Simulate in real time the cars traffic
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