Multi Institution Projects
A Hierarchical priority-based Control of Signalized Intersections in Semi-Connected Corridors
PI: Ali Hajbabaie (WSU), ali.hajbabaie@wsu.edu, ORCID: 0000-0001-6757-1981
Co PIs: Sameh Sorour (UI), Ahmed Abdel-Rahim (UI)
AMOUNT & MATCH: $180,000 from PacTrans; $180,000 Match
PERFORMANCE PERIOD: 8/16/2018 – 8/15/2020
STATUS: Completed
CATEGORIES: Signal Control, Connected Vehicles, Emerging Technology
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Quantifying Impact of Rockfall on Mobility of Critical Transportation Corridors
PI: Keith Cunningham (UAF), kwcunningham@alaska.edu, ORCID: 0000-0002-6979-7893
Co PIs: Ben Leshchinsky (OSU), Michael Olsen (OSU), Joe Wartman (UW)
AMOUNT & MATCH: $180,000 from PacTrans; $180,000 Match
PERFORMANCE PERIOD: 8/16/2018 – 8/15/2020
STATUS: Completed
CATEGORIES: Geotechincal, Rockfall, Critical Lifelines
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Exploring Weather-Related Connected Vehicle Applications for Improved Winter Travel in the Pacific Northwest
PI: Xianming Shi (WSU), xianming.shi@wsu.edu, ORCID: 0000-0003-3576-8952
Co PIs: Haizhong Wang (OSU), Yinhai Wang (UW)
AMOUNT & MATCH: $180,000 from PacTrans; $180,000 Match
PERFORMANCE PERIOD: 8/16/2017 – 8/15/2019
STATUS: Completed
CATEGORIES: Connected Technology, Winter Weather Conditions
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Developing Design Guidelines for Commercial Vehicle Envelopes on Urban Streets
PI: Ed McCormack (UW), edm@uw.edu, ORCID: 0000-0002-2437-9604
Co PIs: Anne Goodchild (UW), David Hurwitz (OSU)
AMOUNT & MATCH: $180,000 from PacTrans; $180,000 Match
PERFORMANCE PERIOD: 8/16/2017 – 8/15/2019
STATUS: Completed
CATEGORIES: Freight, Design Guidelines, Parking Envelopes, Urban Streets
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An Airborne Lidar Scanning and Deep Learning System for Real-Time Event Extraction Control Policies in Urban Transportation Networks
PI: Christopher Parrish (OSU), christopher.parrish@oregonstate.edu, ORCID: 0000-0002-2681-0090
Co PIs: Sameh Sorour (UI), Ahmed Abdel-Rahim (UI), David Hurwitz (OSU)
AMOUNT & MATCH: $180,000 from PacTrans; $180,000 Match
PERFORMANCE PERIOD: 8/16/2017 – 8/15/2019
STATUS: Completed
CATEGORIES: UAVs, Urban Transportation Networks, Deep Learning
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