PROJECT TITLE :

Distributed Traffic Signal Control Using the Cell Transmission Model via the Alternating Direction Method of Multipliers

ABSTRACT:

Traffic signal control could be a key ingredient in intelligent transportation systems to increase the capability of existing urban transportation infrastructure. But, to attain optimal system-wide operation, it is essential to coordinate traffic signals at varied intersections. During this paper, we tend to model the multiple-intersection traffic signal management drawback using the cell transmission model as a mixed-integer linear program. The solution of the matter is facilitated by its special structure, which allows both temporal and spatial decomposition. Temporal decomposition is utilized to cut back the problem size by solving subproblems of a smaller time window compared to the initial downside. Temporal subproblems can be further spatially decomposed into subproblems related to different intersections, which are jointly solved by exchanging messages between neighboring intersections. The proposed distributed answer strategy is comprised of two phases. First, the relaxed linear downside is reformulated and distributedly solved via the alternating direction technique of multipliers. Second, two distributed rounding schemes are developed to solve the initial drawback. Simulation results indicate that the proposed answer strategy is scalable to large transportation topologies, which is appropriate for online execution, and provides close-to-optimal results.