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Hossam Abdelgawad

Researcher at University of Toronto

Publications -  38
Citations -  1358

Hossam Abdelgawad is an academic researcher from University of Toronto. The author has contributed to research in topics: Traffic congestion & Emergency evacuation. The author has an hindex of 15, co-authored 33 publications receiving 1022 citations. Previous affiliations of Hossam Abdelgawad include Chartered Institute of Management Accountants & Cairo University.

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Multiagent Reinforcement Learning for Integrated Network of Adaptive Traffic Signal Controllers (MARLIN-ATSC): Methodology and Large-Scale Application on Downtown Toronto

TL;DR: This paper presents the development and evaluation of a novel system of multiagent reinforcement learning for integrated network of adaptive traffic signal controllers (MARLIN-ATSC), and shows unprecedented reduction in the average intersection delay.
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Design of Reinforcement Learning Parameters for Seamless Application of Adaptive Traffic Signal Control

TL;DR: This article investigates the following dimensions of the control problem: 1) RL learning methods, 2) traffic state representations, 3) action selection methods, 4) traffic signal phasing schemes, 5) reward definitions, and 6) variability of flow arrivals to the intersection.
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Traffic capacity implications of automated vehicles mixed with regular vehicles

TL;DR: An analytical framework for quantifying and evaluating the impacts of AVs on the capacities of highway systems is proposed and it is indicated that a maximum lane capacity of 6,450 vph per lane is achievable if all vehicles are driven in a cooperative automated manner.
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Assessing the Potential Impacts of Connected Vehicles: Mobility, Environmental, and Safety Perspectives

TL;DR: In this paper, a modeling framework is developed based on traffic microsimulation for a real network located in the city of Toronto, Canada, to mimic communication between enabled vehicles, and the effects of providing real-time routing guidance and advisory warning messages to CVs are examined.
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Emergency evacuation planning as a network design problem: a critical review

TL;DR: A framework is proposed that compiles evacuation strategies, network design problem formulation, traffic simulation and optimization tools in an attempt to fill some of the identified gaps/limitations of emergency evacuation planning.