Metropia App and Implications for Travel Demand Management

Yi-Chang Chiu, PhDUniversity of Arizona, Metropia Inc.

D-STOP SymposiumUniversity of Texas at Austin,

March 2, 2015

Colorado Study: I-70 Mountain - A State-Wide Treasure

Great Fun in the Mountain

Long Way Home….

Long Way Home….

$10M $20M

$200M $2B

Predictive Optimal Routing and Load Balancing

Reserve Validate

Metropia’s Gamification Features

• Earning Points can be exchanged for local merchant rewards

or to plant trees

Metropia’s Gamification Features

• Users also get CO2 and Time Savings and Driving Scores

Metropia Multi-Modal “Lead Generation” Concept

Metropia Drivers

Alternative Mode

Attractive

Alternative Mode

Feasible

Metropia Multi-Mode “Lead Gen” Example(Portland Metro Network - PM Period)

Metropia Multi-Mode “Lead Gen” Example(Portland Metro Network – PM Period)

Potential Travel Shed for Mode

Shift with Lead Gen (Simulated)

Alternative Mode Feasible:

• SOV trips with direct transit

services between origin and

destination

• 280,000 trips captured (15%)

Alternative Mode Attractive:

• SOV trips with direct transit

services between origin and

destination

• Wait time < 15 minutes

• Walk distance < 0.5 Miles

• 10,000 trips captured (0.5%)

GPS Trajectories

GPS Trajectories

Activity Pattern

• Activity History • Activity PrismWork

Home

Shopping

Home

Shopping Work

Activity Based Model

Intersection Delays

Congestion Management System

Data Coverage

Data Coverage (Week 1-16)

171 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16Model Calibration

Data Coverage (Week 1-16)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17

Stable links 304 438 807 1157 1460 1682 1856 2266 2517 2734 3097 3416 3564 3767 4094 4259 4377

Updated links 2305 3798 7278 9599 10602 11548 12172 13426 14374 15145 16006 17328 17748 18274 19150 19525 19772

0

5000

10000

15000

20000

25000

30000

# o

f lin

ks

week

Data Intensity

Data Intensity

Data Intensity (YC)

Data Intensity (YC)

Congestion Pattern

Austin Weekend PH Congestion

Travel Time/Reliabiilty Study

Austin Weekday PH Congestion

Origin-Destination Pattern

Austin User OD Pattern

OD Survey

Tucson User OD Pattern

YC OD Pattern and Intensity

Predicted Destinations

YC Weekday Home 8 AM

Kids School

Metropia

U of AZ

Emission Test

Tucson Airport

Destination Choice Modeling

YC Weekday UA 6 PM

Home

Metropia

To Go Restaurant

Kid’s Martial Art

YC Weekend Home 11 AM

Brunch

Dim Sum Restaurant

Tucson Airport

Kid’s Martial Art

Metropia

Sensor Data

Accelerometer Data

Gyroscope Data

Conclusions

• Metropia focuses on Multi-Modal Active Demand Management

• Metropia data support various travel demand management purposes

– Multi-modal opportunities

– Congestion/performance measures

– Activity patterns

– Distraction/safety analysis