Predicting and labancing bikeshare systems by Raphaël Cherrier

Presentation at DataGeeks @AXA avec Sean Owen January 21 2015· 7:00 PM
Raphaël Cherrier, PhD
QUCIT - Founder & CEO
www.qucit.com

Transcript

1. Predicting and balancing bikeshare systems @raphaelcherrier
2. Disclaimer: Short Bio PhD in Theoretical Physics (Spin Glasses, Disordered Systems and Neural Nets) Associate Prof. in Fluid Mechanics Algorithmic Trading Founder @qucit (may 2014)
3. Clément Data Science & Mobile Dev Msc in Physics (ENS Lyon) Yassine Data Science, Dataviz & Mobile Msc in Applied Mathematics (Centrale Paris & Cambridge) Raphaël Founder & CEO Statistical Modelling PhD in Physics (ENS Lyon) Michaël Partner & CMO Business Development (Centrale Paris & MBA Insead) Rémi Deep Learning & Cloud PhD Student in CS (Univ. Bordeaux) Nicolas Data Science & Cloud PhD in Mathematics (ENS Ulm) Caixia Dataviz Msc in Computer Science (Univ. Bordeaux) Guillaume Cloud & Graphs Msc in Computer Science (Univ. Bordeaux)
4. BIKE SHARE SYSTEMS PROBLEMS CURRENT SOLUTIONS
5. 700+ bikeshare systems www.bikesharingworld.com Started in France (2005, Lyon) 3b$, +50% per year 1M+ bikes 830+ cities THEY ALL SHARE THE SAME PROBLEMS
7. daily_trips(system_size) ~ N1.46
10. CURRENT SOLUTIONS
11. Real-time Availability
12. Balancing with Trucks POLLUTES & emits CO2 NOT Efficient EXPENSIVE
13. PREDICTING BIKE AVAILABILITY
14. Raw Bikes Data
15. Riders & Trucks
16. Riders & Trucks Balancing !
17. Riders & Trucks Balancing ! ‘Normal’ Trips
18. Bike share stations are like mikes that listen to urban mobility behaviors, measuring the ‘pulse’ of the city ‘UNIVERSAL’ MOBILITY BEHAVIORS
19. BEHAVIOR 1
20. BEHAVIOR 1
21. BEHAVIOR 1 = COMMUTING
22. Bordeaux Toulouse Barcelona New York
26. BEHAVIOR 2
28. BEHAVIOR 2 = GOING OUT
32. …are affected differently by contextual changes ‘UNIVERSAL’ MOBILITY BEHAVIORS
33. Predictions up to 12h ahead
34. AI for bike balancing & failure detection
35. Optimal network planning
36. We Are Hiring! @raphaelcherrier