Oct 1, 2024
OSaaS - Optimizing traffic Signals as a Service
OSaaS - Optimizing traffic Signals as a Service

OSaaS is a traffic signal control system that utilizes data from connected vehicles as the only input. Powered by a newly proposed stochastic traffic flow model, this system has been successfully tested and implemented in real-world settings, demonstrating a significant reduction in delays and the number of stops at signalized intersections. This work was published in Nature Communications, making it one of the earliest transportation engineering articles featured in the Nature series. It has also received significant media attention, including coverage by University of Michigan News, the Associated Press, and the Wall Street Journal.

Oct 1, 2023
Connected Vehicle Data Platform
Connected Vehicle Data Platform

The diverse and complex real-world network topology presents a significant challenge for network-level traffic control. My collaborators and I explored two distinct approaches 1) an optimization-based method and 2) a max-pressure-based control method. This research project is collaborated with Prof. Yafeng Yin, Prof. Yiheng Feng, and Prof. Siqian Shen.

Code
Oct 1, 2022
Distributed traffic signal control for large-scale traffic networks
Distributed traffic signal control for large-scale traffic networks

The diverse and complex real-world network topology presents a significant challenge for network-level traffic control. My collaborators and I explored two distinct approaches 1) an optimization-based method and 2) a max-pressure-based control method. This research project is collaborated with Prof. Yafeng Yin, Prof. Yiheng Feng, and Prof. Siqian Shen.