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In Press
An Approach to investigate the effectiveness of multi-task learning, Safan, Manar, Aboudina Aya, and Shawky Doaa , The 16th International Computer Engineering Conference (ICENCO), Cairo, Egypt, (In Press)
Predictive analytics for streetcar bunching occurrence time for real-time applications, Aboudina, Aya, Diab Ehab, and Shalaby Amer , Transportation Research Record, (In Press)
Evaluation of bus bridging scenarios for railway service disruption management: a users’ delay modelling tool, Aboudina, Aya, Itani Alaa, Diab Ehab, Srikukenthiran Siva, and Shalaby Amer , Public Transport, p.1-25, (2020)
Mode shift impacts of optimal time-dependent congestion pricing in large networks: A simulation-based case study in the greater Toronto area, Hasnine, Sami, Aboudina Aya, Abdulhai Baher, and Habib Khandker N. , Case Studies on Transport Policy, Volume 8(2), p.542-552, (2020)
Evaluating transit network resilience through graph theory and demand-elastic measures: Case study of the Toronto transit system, King, David, Aboudina Aya, and Shalaby Amer , Journal of Transportation Safety & Security, p.1-21, (2019)
Managing unplanned rail disruptions: policy implications and guidelines towards an effective bus bridging strategy, Itani, Alaa, Aboudina Aya, Diab Ehab, Srikukenthiran Siva, and Shalaby Amer , Transportation Research Record, Volume 2673(4), p.473-489, (2019)
The Impact of Various Streetcar Types on Passenger Activity and Travel Times, Hu, Wen Xun, Diab Ehab, Aboudina Aya, and Shalaby Amer , Transportation Research Record, Jan 2018, Volume 2672(8), Washington, DC, USA, p.351-362, (2018)
Harnessing the Power of HPC in Simulation and Optimization of Large Transportation Networks: Spatio-Temporal Traffic Management in the Greater Toronto Area, Aboudina, Aya, Kamel Islam, Elshenawy Mohamed, Abdelgawad Hossam, and Abdulhai Baher , IEEE Intelligent Transportation Systems Magazine, Volume 10, Issue 1, p.95-106, (2018)
A bi-level distributed approach for optimizing time-dependent congestion pricing in large networks: A simulation-based case study in the Greater Toronto Area, Aboudina, Aya, and Abdulhai Baher , Transportation Research Part C: Emerging Technologies, Volume 2017, Issue 85, p.684-710, (2017)
Time-Dependent Congestion Pricing System for Large Networks:, Aboudina, Aya, Abdelgawad Hossam, Abdulhai Baher, and Habib Khandker Nurul , Transportation Research Part A: Policy and Practice, Volume 94, p.411–430, (2016) Abstract

Congestion pricing is one of the widely contemplated methods to manage traffic congestion. The purpose of congestion pricing is to manage traffic demand generation and supply allocation by charging fees (i.e., tolling) for the use of certain roads in order to distribute traffic demand more evenly over time and space. This study presents a framework for large-scale time-variable congestion pricing policy determination and evaluation. The proposed framework integrates discrete departure-time choice and route choice models within a regional dynamic traffic assignment (DTA) simulation environment; creating a unified variable spatio-temporal (location- and time-specific) congestion pricing framework. The framework addresses the impact of tolling on: 1) road traffic congestion (supply side), and 2) travellers’ behaviour and choice dimensions including departure time and route choices (demand side). The framework is applied to a simulation-based case study of tolling a major freeway in Toronto while capturing the regional effects across the Greater Toronto Area (GTA). The models are developed and calibrated using regional household travel survey data that reflect the heterogeneity of travellers’ personal and socioeconomic attributes. The DTA model is calibrated using actual traffic counts from the Ontario Ministry of Transportation and the City of Toronto. The case study examined two tolling scenarios: flat and variable tolling. The results indicate that: (1) more benefits are attained from variable pricing due to departure-time rescheduling as opposed to predominantly re-routing only in the case of flat tolling, (2) widespread spatial and temporal re-distributions of traffic demand are observed across the regional network in response to tolling a significant, yet relatively short, expressway serving Downtown Toronto, and (3) variable pricing mirrors temporal congestion patterns and induces departure time re-scheduling while flat tolling causes major and counterproductive rerouting patterns, which was observed to block access to the tolled facility itself.

Congestion management in the Greater Toronto and Hamilton Area (GTHA): balancing the inverted pendulum, Abdulhai, Baher, El-Tantawy Samah, Abdelgawad Hossam, Aboudina Aya, and El-Darieby Mohamed , 04/13, Toronto, ON, Canada, (2013) rccao_apr2013_congestionmanagement_lowres.pdf