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Metropia Movement (January 2020)

News & Updates from Metropia, Inc

Metropia’s platform, powered by proprietary algorithms, data analytics and behavioral economics, provides a multidimensional demand management framework (route, departure time and mode) to support transportation system congestion-management strategies and policies.

     Product Announcements     

In 2019 Metropia made significant enhancements to its suite of technology platforms which are now being deployed in projects across the globe.

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Metropia’s platform has been completely rebuilt and powered by artificial intelligence, machine-learning algorithms, and behavioral economics to provide users with the ideal tool to improve their daily commute and agencies with the power to manage both their systems and travelers through the most capable trip planning app available in the market--GoEzy.  GoEzy serves as the smartphone app tool for 

Download the GoEzy app

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agencies to promote and incentivize behavioral strategies that reduce traffic congestion and manage planned and unplanned events and incidents while providing participating users with personalized mobility options.

Continue below to read highlights of our recent and upcoming projects, then head over to the all-new to learn more about how our platforms can help you solve your specific transportation challenges.

     New Developments               

Metropia's technology platforms selected to power TxDOT Houston’s pioneering ConnectSmart program

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The Texas Department of Transportation Houston District (TxDOT HOU) received an Advanced Transportation and Congestion Management Technologies Deployment (ATCMTD) grant from the U.S. Department of Transportation to deploy an innovative solution that optimizes available capacity

while managing the region’s travel demand growth, shifts, and spikes associated with scheduled and unscheduled events impacting the region’s transportation networks. Under this grant, TxDOT HOU will deploy ConnectSmart, an advanced framework in the form of a technology platform integrating Transportation Systems Management and Operations (TSMO) and Active Demand Management (ADM) with multi-modal demand and mobility management.

The Metropia-led consultant team was selected to provide the technology platform through which demand is actively managed and traveler behavior is influenced in real-time to achieve operational objectives. Through the deployment of  the ConnectSmart congestion-management platform and companion white-labeled version of Metropia’s GoEzy trip planner mobile app, ConnectSmart will integrate various advanced mobility technologies and travel data sources to provide predictive multi-/inter-modal travel time, cost, and reliability information. ConnectSmart will simultaneously leverage behavioral economics to encourage the use of alternative or active mobility options that are ecologically friendly.

Taiwan’s UMAJI project to be developed on foundation of Metropia platforms

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Following a competitive process which concluded In November 2019, the ROC Taiwan’s Ministry of Transportation and Communications selected the Metropia-led team to deploy its UMAJI+ Mobility-as-a-Service (MaaS) platform for the entire island over the next two years.

UMAJI, which loosely translates to “Your Best Companion,” is utilizing a white-labeled version of Metropia’s GoEzy app to serve as a complete-trip companion for all urban commuters and inter-city travelers regardless of which transportation mode they may choose. Multiple inter-city rail and bus services have been seamlessly integrated into GoEzy’s trip planning features. Metropia’s Transit Hailing technology will play a critical role in uniting ridesharing services to address first-and-last mile obstacles and allow for shared-trip taxi and vanpools. Employee-based carpooling further explores the opportunity to reduce SOV usage for congested employment centers and corridors

Metropia’s behavior engine powers BART’s Perks 2 program to overwhelming success

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The second phase of BART’s Perks program (Perks 2), which offered personalized incentives to riders willing to shift their travel times outside of peak congestion periods toward less-crowded times, concluded in August of 2019, and Metropia’s INDUCE behavior modification engine helped Perks deliver outstanding results.

In total, nearly 20% of Perks 2 Participants shifted their travel patterns in support of program goals. In addition to the impressive outcomes, INDUCE reduced program incentive costs compared to Phase 1 by nearly 90%. It’s estimated that the program can reduce overall system congestion at scale by 5% for less than one-third of the annual cost of traditional capital improvement projects.

     Join Us At TRB                      

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(Washington, D.C.) Several members of the Metropia team will be sharing their expertise and discussing an array of emerging transportation topics at the annual meeting of the Transportation Research Board (TRB), January 12-16, 2020. 

If you're heading to TRB, please join us at the following events/panels:

The Development and Field Validation of A System Optimal Individualized Incentive Scheme for A Metro Transit System

Ali Arian, Metropia
Zirui (Raymond) Huang, University of Arizona
Yi-Chang Chiu, University of Arizona/Metropia
Ryan Greene-Roesel, BART
Monday, January 13 from 10:15 AM-12:00 PM (144C, Convention Center)
Sponsored by: Standing Committee on Public Transportation Marketing and Fare Policy (AP030)

Inferring Individual’s Activity And Trip Purpose From GPS Data Using Wavelet Decomposition And K-means

Ali Arian, Metropia
Meiyu Pan, ​​​​​​University of Arizona
Yi-Chang Chiu, University of Arizona/Metropia
Monday, January 13 from 10:15 AM-12:00 PM (Hall A, Convention Center )
Sponsored by: Standing Committee on Artificial Intelligence and Advanced Computing Applications (ABJ70)

Using Conditional Generative Adversarial Nets and Heat Maps with Simulation Accelerated Training to Predict the Spatiotemporal Impacts of Highway Incidents

Zirui Huang, University of Arizona
Ali Arian, Metropia
Yuqiu (Rachael) Yuan, University of Arizona
Yi-Chang Chiu, University of Arizona/Metropia
Monday, January 13 from 1:30 PM-3:15 PM (Hall A, Convention Center)
Sponsored by: Standing Committee on Artificial Intelligence and Advanced Computing Applications (ABJ70)

Social Carpool Behavior Analysis Using Data from Incentive-Based Demand Management Platform

Ali Arian, Metropia
Vassilis Papayannoulis, Metropia
Chih-Wei Hsieh, University of Arizona
Yi-Chang Chiu, University of Arizona/Metropia
Monday, January 13 from 3:45 PM-5:30 PM (Hall A, Convention Center) 
Sponsored by: Standing Committee on Transportation Demand Management (ABE50)

Attend this event before the annual meeting begins to learn more about the FHWA Shared Mobility project:

Transportation Camp

Ali Arian, Metropia
Deepak Gopalakrishna, ICF 
Scott Middleton, EDR 
Allen Greenberg, FHWA 
Saturday, January 11 from 8:30 AM-5:45 PM (The Pryzbyla Center located at Catholic University)

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