A rapid increase in traffic congestion on urban roads and limitations in developing infrastructure urges a better operation of available transport facilities. To this end, maximizing the efficiency of public transport by deploying transit priority strategies can play a crucial role since a decent transit service can serve more demand and mitigate traffic congestion.A wide range of strategies has been suggested to improve public transportation performance in urban networks. They range from introducing Transit Priority Lanes (TPL) on a segment to Transit Signal Priority (TSP) strategies that seek to decrease bus delays and travel time variability at intersections. Despite the fact that these strategies can improve the performance of transit operation, their potential negative impacts on the competent modes raise concerns on their deployment and urges a thorough validation before implementation.The main goal of this research is to develop and validate a planning tool to evaluate and design priority strategies at the network level. By developing inspection, evaluation, and design modules, the tool can help practitioners and planners to find the best strategy considering all of the systemwide impacts of TSP implementation at intersections. Furthermore, this tool would reflect TSP deployment when it is combined with planning-level solutions like bus-exclusive lanes.This study adds a set of contributions to the existing works in the transit priority area. The main contribution of this research is the development of an optimization framework to find the optimal location of priority strategies in the network. In this regard, a set of methods were developed for finding the location of transit priority strategies. Simulation-based network-wide optimization framework of Transit Signal Priority (TSP) strategies as well as analytical evaluation and optimization of TSP and Transit Priority Lanes (TPL) integration are the main contribution of this study.In addition, a handful of other contributions were made in this study. For example, the study proposed two analytical approaches to evaluate the performance of priority strategies in a network, A tool and two passenger oriented delay and variability metrics were introduced to identify prone areas for possible strategies using smart card data. The study also proposed the implementation of Vehicle-to-Infrastructure (V2I) communication to reduce bus fuel consumption at intersections and its integration with TSP strategies. Finally, the study analyzed the application of Binary Particle Swarm Optimization(BPSO) algorithm for finding the optimum location of priority strategies are the other contributions of this work.ii
Declaration by authorThis thesis is composed of my original work, and contains no material previously published or written by another person except where due references have been made in the text. I have clearly stated the contribution by others to jointly-authored works that I have included in my thesis.