Dynamic Speed Harmonization in Connected Urban Street Networks: Improving Mobility
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2020-09-01
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Edition:Final Report
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Abstract:The goal of this project is to improve mobility in urban street networks by developing a methodology for dynamic speed harmonization suitable for connected urban street networks. The methodology aims at finding optimal advisory speeds on each transportation link that will be transferred to connected and autonomous vehicles, with the objective of reducing travel time, improving mobility, and harmonizing the speeds at the same time. As such, the methodology can avoid long queues, queue spillovers, and gridlocks. This study will generate the first network-level formulation for dynamic speed harmonization in a signalized network. It will also incorporate connected vehicle information in the mathematical model and the proposed solution algorithm. The objective of this research is to study the effects of harmonizing the speed of connected automated vehicles on traffic operations in urban street networks. In particular, this study proposes the use of optimal speed control methods to develop an efficient optimization framework for an effective and fluent movement of connected automated vehicles (CAVs) in urban street networks. This study aimed at finding answers to the following fundamental research questions: (1) What is the effect of speed control on the operational performance of connected urban street networks? (2) How cooperative optimization of signal timing plans and speed of CAVs further improves the performance of transportation networks?
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