Research theme · 04
Traffic Operation
Applying state-of-the-art traffic engineering theory and algorithms to transit scheduling, parking management, congestion pricing, managed lanes, road closures, traffic control, and incident detection.
Overview
We apply state-of-the-art traffic engineering theories, models, and algorithms to design infrastructure and operational schemes. Our work spans transit scheduling, parking management, congestion pricing, managed lanes, road closures, traffic control, and incident detection.
Featured Projects
- Smart Mobility Challenge: Real-Time Traffic Monitoring and Prediction for Cranberry Township — Team: Shuguan Yang.
- Smart Mobility Challenge: Traffic Impact of CSX Pittsburgh Intermodal Rail Terminal and Mitigation Plans for McKees Rocks — Team: Xidong Pi, Wei Ma.
- Real-Time Incident Detection Using Social Media Data — Team: Yiming Gu.
Projects
- Smart Mobility Challenge: Real-Time Traffic Monitoring and Prediction for Cranberry Township
Real-time traffic monitoring and prediction system for Cranberry Township under the Smart Mobility Challenge.
Sean Qian
- Smart Mobility Challenge: Traffic Impact of CSX Pittsburgh Intermodal Rail Terminal and Mitigation Plans for McKees Rocks
In-depth simulation of the traffic impact of a proposed CSX intermodal rail terminal at McKees Rocks, evaluating mitigation strategies including the West Carson Street Extension and truck routing optimization.
Sean Qian · Traffic 21 / Mobility 21 National University Transportation Center
Real-Time Incident Detection Using Social Media DataDetecting traffic incidents on highways and arterials in real time by mining geocoded tweets, validated in Pittsburgh and Philadelphia.
Sean Qian · PennDOT, T-SET