Implications of Information Structure in Control of Urban Traffic Networks [Research Brief]
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2020-09-01
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By Savla, Ketan
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Abstract:Due to the large volume of data generated in traffic, it is computationally, and arguably even technologically, infeasible to inter-connect all sensory and control points for real-time applications. Therefore, it is of interest to study performance of traffic networks under various information structures, i.e., sparse interconnection of control and sensor points. The objective of this project is to study this issue under two complementary topics: (1) traffic management using distributed implementation of variable speed limit, ramp-metering and routing, and (2) private route recommendations or public messages during uncertain situations by a system planner with informational advantage.
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