Evaluation of transit signal priority using analytical method



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Transit Signal Priority (TSP) systems have grown in popularity throughout the world£¬ and are regarded as a cost-effective way to solve current congestion in metropolitan areas. Successful deployment of TSP systems requires thorough laboratory evaluation before field implementation. Traffic simulation is a powerful tool in this regard; however, it requires tremendous efforts toward network coding, data collection and model calibration. Besides, simulation models tend to be project specific and the models developed for one project are often discarded upon the completion of that project. In this thesis, it is shown that the impacts of two fundamental TSP strategies (early green and extended green) can be evaluated using an analytical approach. The impacts of the above two strategies on both prioritized and non-prioritized approaches are illustrated both graphically as well as analytically. The validity of the proposed analysis is examined by an example application. A microscopic simulation tool, Vissim4.1, is applied for comparing the results of the analytical method.