It can be expected that connected vehicles (CVs) will soon go beyond testbed and appear on realworld road networks. Through vehicle-to-infrastructure communication channels, much more enriched data (e.g., the trajectories of CVs) will be available to operate more efficient and responsive traffic control modules. Many existing studies also showed the effectiveness of CVbased transportation systems could be improved with the increase of CV penetration rates. Hence, to accommodate a large number of connected vehicles on the roads, traffic signal control on signalized arterials would require supports of various components such as roadside CV infrastructures, vehicle on-board devices, an effective communication network, and optimal control algorithms.
In this project, we aim to establish a real-time and adaptive system for supporting the operations of CV-based traffic signal control functions. The system will best utilize the capacity of the communication channels with optimization functions. The CV data sensing and acquisition protocol, built on Age of Information (AoI) as a function of the system overall latency and communication load, will support the feedback control loop to adjust signal timing plans.
Our multidisciplinary research team, including researchers from transportation engineering and electrical engineering, carry out the project tasks along four directions that capitalized on the PIs’ expertise: (i) Data collection and communication, in which the proposed system is based on the AoI and optimize the communication network; (ii) Dynamic traffic signal coordination, which will concurrently facilitate the progression of traffic flows along multiple critical paths; (iii) Smart traffic signal control, where both operational efficiency and safety improvement are accounted for at signalized intersections; and (iv) Multimodal system design, which will integrate transit signal priority (TSP) and suppression controls for accommodating connected buses. This project addresses the urgent needs in CV system designs and offers control foundations to support the operations of urban signalized arterials in a CV environment.
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