a taxi fleet optimization program; using sophisticated analytics and algorithms to streamline taxi dispatching and better utilize capacity during peak periods
7. Same Transport Power, Less Taxis SINGAPORE
15,000 taxis 3,000 taxis
- 1/5 pollution
- 1/5 congestion
- profitable for:
passengers
drivers
taxi companies
8. TaxiPool SINGAPORE
Taxi route optimization system to maximize the
transportation efficiency of the taxi fleet as a whole.
9. Approach SINGAPORE
Conventional taxis are
inefficient because
they are autonomous
9:30
9:15
9:00
9:00
10. Approach SINGAPORE
Conventional taxis are
inefficient because
they are autonomous
9:30
9:15
9:00
9:00
11. Approach SINGAPORE
Conventional taxis are
inefficient because
they are autonomous
9:30 9:30
9:15 9:15
9:00 9:00
9:00 9:00
12. Approach SINGAPORE
Conventional taxis are
inefficient because
they are autonomous
9:30 9:30
9:15
9:00 9:00
9:00
13. Approach SINGAPORE
Conventional taxis are
inefficient because
they are autonomous
9:30
9:15
9:00
9:00
14. Approach SINGAPORE
Conventional taxis are Centralized scheduling
inefficient because allows maximally efficient
they are autonomous use of resources
9:30
9:15
9:00
9:00
16. If you’re seeing this, the demo didn’t work SINGAPORE
Taxi operator control screen
17. If you’re seeing this, the demo didn’t work SINGAPORE
User client app
18. If you’re seeing this, the demo didn’t work SINGAPORE
Booking result
19. Who benefits from ?
Society Passenger
• Less traffic congestion Lower Taxi Fare (S$/trip)
⇒ 12k taxis less
• Less CO2 emission 8.35 -
→ 298k tons/year 65%
→ S$6.8M emission trade 2.95
Before After
Taxi Driver Taxi Operator
Higher Income (S$K/month)
Higher Profit (S$M/qtr.)
6.7
00% +50
% 28.5
3.3 +1 19.0
Before After
Before After
20. Feasibility & The Next Step SINGAPORE
- We’ve shown that TaxiPool is
technologically viable, and economically
feasible
Issue for the future:
How to embrace customers?
Cheaper&environmentally friendly won’t
make people switch.
21. Credits & Contacts SINGAPORE
Data sets used: taxi_status_logs
Team lead
Name: Ken Kawamoto
Number: +81-80-6537-7214
Email: ken.kawamoto.qg@hitachi.com
Twittter: @kenkawakenkenke
Team members:
Wujuan Lin
Tomoaki Akitomi