qucitn prédictive on-street & off-street parking

Prédictive On-Street & Off-Street Parking

@raphaelcherrier

DATA COLLECTION MACHINE LEARNING URBAN OPTIMIZATION

QUANTIFIED CITIES

API

Raphaël - CEO#PhD #NormaleSup #HEC

Clément - CMO#MBA #ESSEC

Hassène - CTO#ENSEIRB

Gabriele – Chief Data Scientist#PhD #UnivBologna

Yassine - Data Scientist#CentraleParis #Cambridge

Paul – Dev Mobile #UnivBordeaux

Paul - Data Scientist#CentraleParis

Rémi - Data Scientist#PhDStudent #UnivBordeaux

Marine - Graphiste#Creasud #DigitalCampus

The Team

Parking

• On-street parking search time• Free spots in off-street parkings• Data• OpenStreetMap• Calendar • Real Time Data: Free Spots in off-street

parking, Vélib, Traffic, Weather, Public Transport Failure, Pollution, …

• User Generated Data• Available today in Bordeaux, Dijon, Metz

CITYPARK & PARKPREDICT API

Predicting on-street & off-street parking:

SEARCH TIME : 36MIN 25S

SEARCH TIME : 4MIN 01S

CONTEXT: SHOPS

CONTEXT: RESTAURANTS, BARS,…

CONTEXT: PARKINGS SPOTS

CONTEXT: BANKS & ATM

CONTEXT: SCHOOLS

@raphaelcherrier

THANK YOU!