Connected and autonomous vehicles-based signal vehicle coupled control

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The urban transportation network has been less effective due to traffic congestion, and the health of its economies suffers as a result. One potential solution is to establish coordinated route/driving mechanisms. This is enabled by recent connected and autonomous vehicle (CAV) technologies, advanced onboard computing devices, and integration with road-side infrastructures. However, engineers who design such mechanisms are still lacking scientific knowledge and effective tools that can be proven as efficient and reliable for use by the public. The goal of this international collaboration is to develop innovative approaches to the coordination of CAV vehicle drivers - online route guidance and traffic signal controls. This will be done by exploiting emerging information and computing technologies equipped in connected transportation infrastructure. This approach will improve transportation system mobility, safety, and environmental sustainability without sacrificing the interests of the individual vehicles. This research will deepen our understanding of the control mechanism among vehicles on limited traffic resources. It should also reveal the impacts of the decisions of individual vehicles on traffic congestion and offer a new paradigm of real-time traffic signal control.Canadian HQPs will get an opportunity to travel to South Korea to participate in the prototype development of the CAVs environment, access the big data and develop CAV technology under real-world conditions. Students will gain hands-on and exemplary training in designing and executing traffic signal control, analyzing the data and developing algorithms using big data.