Toward Ubiquitous Trajectory-Based Traffic Network Diagnosis Systems

Principal Investigator(s):

Yafeng Yin, Donald Cleveland Collegiate Professor Of Engineering – The University of Michigan
Donald Malloure Department Chair Of Civil And Environmental Engineering – The University of Michigan
Henry Liu, Director – Center for Connected and Automated Transportation (CCAT)
Director – University of Michigan Transportation Research Institute (UMTRI)
Professor of Civil and Environmental Engineering – The University of Michigan

Project Abstract:
This project aims to develop a trajectory-based traffic network diagnosis system to address urban congestion by leveraging vehicle trajectory data and open-source tools. The system operates at both planning and operational levels, offering scalable, real-time diagnosis and mitigation of congestion issues. It integrates advanced equilibrium models and mesoscopic simulations, prioritizing computational efficiency and actionable results. By democratizing access to traffic diagnostics and enabling rapid deployment, the project envisions empowering cities worldwide to manage congestion sustainably, enhance urban mobility, and improve quality of life.

Institution(s): University of Michigan – Ann Arbor
University of Michigan Transportation Research Institute

Award Year: 2025

Research Focus: Mobility

Project Form(s):