Every year, in the fall and spring semesters, MTI accepts multidisciplinary research project proposals in areas that will advance transportation and lead to major external research funding proposal submissions. The MTI seed grant funding opportunity aims to promote multidisciplinary collaboration, increase external funding support for transportation-related research, and advance the ranking and prestige of the transportation research program at the University of Maryland.
FY 2019-2020 MTI Seed Grant Awardees
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PIs and CoPIs
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Proposal
|
Colleges
|
PI Contact |
|---|---|---|---|
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Anna Alberini, Cinzia Cirillo, James Archsmith
|
Developing analytical tools for environmental policy analysis: the case of household vehicles, fuel economy, and vehicle-miles traveled |
College of Agriculture & Natural Resources, A. James Clark School of Engineering
|
aalberin@umd.edu |
|
Dimitrios Goulias, Mark D. Fuge
|
Data Mining in Transportation Geomaterials & Infrastructure Health Monitoring Through Machine Learning |
A. James Clark School of Engineering
|
dgoulias@umd.edu |
|
Derek Paley, Jae Kun Shim
|
Research in Electric Scooter Mobility |
A. James Clark School of Engineering & University of Maryland School of Public Health
|
dpaley@umd.edu |
|
Kaveh Farokhi Sadabadi, Nirupam Roy
|
Dedicated Short Range Communications (DSRC) Key Fob for Vulnerable Road Users (VRU) | Center for Advanced Transportation Technology | kfarokhi@umd.edu |
|
Paul Schonfeld, Ilya Ryzhov
|
Methods for Evaluating, Selecting, and Scheduling Interrelated Alternatives for Network Development |
A. James Clark School of Engineering & Robert H. Smith School of Business
|
pschon@umd.edu |
FY 2018-2019 MTI Seed Grant Awardees
|
PIs and CoPIs
|
Proposal
|
Colleges
|
Contact |
|---|---|---|---|
|
John Dickerson, Ilya Ryzhov and Aravind Srinivasan
|
Deep Reinforcement Learning for Rideshare Dispatch
|
College of Computer, Mathematical, and Natural Sciences & Robert H. Smith School of Business
|
john@cs.umd.edu |
|
Cinzia Cirillo, Partha Lahiri
|
Bayesian Data Science Methodology for Transportation Statistics at Granular Levels
|
A. James Clark School of Engineering, College of Computer, Mathematical, and Natural Sciences
|
ccirillo@umd.edu |
|
Sevgi Erdogan, Cinzia Cirillo and Vanessa Frias-Martinez
|
A Multi-Agent Land-Use and Transportation Model Suite for Baltimore-Washington Region as a Future
|
School of Architecture, Planning & Preservation, A. James Clark School of Engineering & College of Information Studies
|
serdogan@umd.edu |
|
Chenfeng Xiong, Jennifer Roberts
|
Using Integrated Health Measures and Incentives Technology to Improve Transportation and Advance Public Health by Influencing Travel Behavior
|
A. James Clark School of Engineering, University of Maryland School of Public Health
|
cxiong@umd.edu |
|
Thomas Jacobs, Gerrit Knaap
|
Feasibility Assessment of Object Detection and Communication Systems for Connected Vehicle Applications
|
A. James Clark School of Engineering, School of Architecture, Planning & Preservation
|
tjacobs@umd.edu |
|
Kathleen Stewart, Chenfeng Xiong
|
Fusing social media data with big mobile device data as a new foundation for travel behavior analysis
|
College of Behavioral and Social Sciences, A. James Clark School of Engineering
|
stewartk@umd.edu |