Speaker: Bilal Farooq, Ryerson University
Time: 10am, October 19
Venue: C510
Abstract: The advent of intelligent vehicles that can automate their movement as well as communicate with each other and infrastructure provides a range of new options to address key urban traffic issues e.g. congestion, safety, and GHG emissions. Using a network of intelligent intersections in a highly congested urban street network, a novel real-time distributed and dynamic end-to-end routing system for fully Connected and Automated Vehicles (CAVs) is proposed. The performance of the proposed model is compared to dynamic one-time shortest path routing in downtown Toronto, using an in-house agent-based traffic simulation. Results show that the proposed system is capable of increasing throughput while reducing the average travel time by 40%. The importance of connectivity when it comes to the applications of automated vehicles (AVs) has been demonstrated. Moreover, in this study the impacts of the proposed distributed routing with different market penetration rates (MPRs) of CAVs and congestion levels have been investigated. The results further show that the higher the MPRs—especially in the case of highly congested urban networks—higher the average speed, lower mean travel time, and increased throughput.
Biography: Bilal Farooq is Canada Research Chair in Disruptive Transportation Technologies and Services. He is currently an Assistant Professor at Ryerson University. He received Bachelor in Engineering from University of Engineering and Technology and Master in Computer Science from Lahore University of Management Sciences, both in Pakistan. He worked in software industry for several years before starting his Ph.D in 2006. in Transportation Engineering at University of Toronto. From 2011-2013 he did his Post-Doctoral research at EPFL, Switzerland. From 2013-2017 he worked as an Assistant Professor at Polytechnique Montréal, where in 2014 he was awarded Québec Early Researcher Award. In 2018 he also received the Early Researcher Award from Ontario.
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