Marta Gonzalez 2020 #Infra4Dev Conference: Decarbonizing Infrastructure www.worldbank.org/infra4dev2

1. The Role of Electrification of Transport in Mitigating
Climate Change, use of Big Data to Manage Traffic &
Congestion
Marta C. Gonzalez, City and Regional Planning, Civil and Environmental Engineering

2. Motivation
20+ M
FACTS:
5+ M 41% penetration
Daily movements
From Data to Information
From Information to Action:
Better informed policies for
the environment, public health
and inclusive well being

3. • Data Driven Transportation
• Taking into account sparse and
incomplete data allows for
Demand Management
Strategies
Intervention, research design

4. Travel demand prediction during Rio Olympics
(a)Tourist travel mode split
(a)Total travel demand during Olympics: 1.8 million people and
0.5 million vehicles in peak hour.

5. Traffic Model
Rio CDR + Waze Data

6. Smart-app (routing)
Modifications on the level of altruism:
User Equilibrium
component
Social Optimun
component
l=[0..1]

7. SORoute
λ=1
25 mins
UERoute
λ=0
20 mins
Optional Route
λ=0.2
22 mins
OriginOrigin
Destination
-5 0 5 10 15
102
103
104
105 λ =1.0
λ =0.1
-5 0 5 10 15 -5 0 5 10 15 -5
-20 -10 0 10 20
0.2
0.4
0.6
0.8
1
-20 -10 0 10 20 -10 0 10 -30
λ = 1.0
λ = 0.1
λ = 1.0
λ = 0.1
net benefit in commuting travel time, min
% decrease in congestion
socialgoodweight,λ#ofvehicletrips
rio bay bos(b)
(c)
(a)
Smart-app (routing)

8. Recommendations of Car reduction per Origin and Destination
Vehicle demand decrease: ~1.3%
Total travel time decrease: ~10.5%

9. Coupling Electric and Mobility Demand
A: Mobility with TimeGeo1
model
B: Charging sessions data
C: EV mobility
D: Peak power load mitigation

10. PEV charging session profiles

11. Arrival Time and Departure Time

12. The Challenge: Peak Demand

13. Peak load optimization Benefits to
incentivize the recommendations

14. Discussion, policy implications
• ICT data can be used to generate urban scale mobility models
• With infrastructure demand we can plan traffic, introduction of new
technologies and energy savings
• Knowledge of individual mobility increase the feasibility of travel
management strategy
• Proper mechanisms to convince PEV owners is necessary to accurately
grasp the future energy demand as well as pressure of the power grid.