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Methods For Utilizing Connected Vehicle Data In Support Of Traffic Bottleneck Management, Samaneh Khazraeian
Methods For Utilizing Connected Vehicle Data In Support Of Traffic Bottleneck Management, Samaneh Khazraeian
FIU Electronic Theses and Dissertations
The decision to select the best Intelligent Transportation System (ITS) technologies from available options has always been a challenging task. The availability of connected vehicle/automated vehicle (CV/AV) technologies in the near future is expected to add to the complexity of the ITS investment decision-making process. The goal of this research is to develop a multi-criteria decision-making analysis (MCDA) framework to support traffic agencies’ decision-making process with consideration of CV/AV technologies. The decision to select between technology alternatives is based on identified performance measures and criteria, and constraints associated with each technology.
Methods inspired by the literature were developed for incident/bottleneck …