B. Abdulhai

发表

GISTT: GPS-GIS Integrated System for Travel Time Surveys

A. Shalaby, Young-Ji Byon, B. Abdulhai, 2006 .

Time-dependent congestion pricing system for large networks: Integrating departure time choice, dynamic traffic assignment and regional travel surveys in the Greater Toronto Area

Aya Aboudina, K. M. Habib, B. Abdulhai, 2016 .

Automated Adaptive Traffic Corridor Control Using Reinforcement Learning

Baher Abdulhai, B. Abdulhai, C. Jacob, 2006 .

A Novel Self-Learning Intelligent Traffic Signal Control System for Congested Urban Areas

B. Abdulhai, Hossam Abdelgawad, Samah El-Tantawy, 2013 .

Using Decision Trees to Improve the Accuracy of Vehicle Signature Reidentification

Ahmed Y. Tawfik, Baher Abdulhai, Aidong Peng, 2004 .

Simulation-Based Dynamic Traffic and Transit Assignment Model for the Greater Toronto Area

Baher Abdulhai, Amer Shalaby, Islam Kamel, 2018 .

Abstract—Car-following based on Reinforcement Learning (RL) has received attention in recent years with the goal of learning and achieving performance levels comparable to humans, based on human car

B. Abdulhai, Tianyu Shi, Yi Ai, 2022 .

Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization

S. Sanner, B. Abdulhai, Jihwan Jeong, 2022, ArXiv.

A Critical Review of Traffic Signal Control and A Novel Unified View of Reinforcement Learning and Model Predictive Control Approaches for Adaptive Traffic Signal Control

S. Sanner, B. Abdulhai, Xiaoyu Wang, 2022, ArXiv.

Nonlinear multivariate time–space threshold vector error correction model for short term traffic state prediction

Baher Abdulhai, Tao Ma, Zhou Zhou, 2015 .

Multi-Agent Reinforcement Learning for Integrated Network of Adaptive Traffic Signal Controllers (MARLIN-ATSC)

Baher Abdulhai, Samah El-Tantawy, B. Abdulhai, 2012, 2012 15th International IEEE Conference on Intelligent Transportation Systems.

Towards multi-agent reinforcement learning for integrated network of optimal traffic controllers (MARLIN-OTC)

Baher Abdulhai, Samah El-Tantawy, B. Abdulhai, 2010 .

Short-term traffic flow forecasting : parametric and nonparametric approaches via emotional temporal difference learning

Baher Abdulhai, Behzad Moshiri, Ali Khaki-Sedigh, 2013 .

Towards a service-oriented cyber-physical systems of systems for smart city mobility applications

Mohamed Elshenawy, Mohamed El-Darieby, Baher Abdulhai, 2018, Future Gener. Comput. Syst..

Reducing Transportation Greenhouse Gas Emissions Through the Development of Policies Targeting High-Emitting Trips

B. Abdulhai, R. Tu, M. Hatzopoulou, 2018 .

Forecasting of short-term traffic-flow based on improved neurofuzzy models via emotional temporal difference learning algorithm

Baher Abdulhai, Behzad Moshiri, Ali Khaki-Sedigh, 2012, Eng. Appl. Artif. Intell..

GAID: Genetic Adaptive Incident Detection for Freeways

Baher Abdulhai, Prasenjit Roy, B. Abdulhai, 2003 .

Real-Time Optimization for Adaptive Traffic Signal Control Using Genetic Algorithms

Baher Abdulhai, Jinwoo Lee, Amer Shalaby, 2005, J. Intell. Transp. Syst..

Integrated framework of departure time choice, mode choice, and route assignment for large-scale networks

Baher Abdulhai, Khandker Nurul Habib, Amer Shalaby, 2021 .

A modelling platform for optimizing time-dependent transit fares in large-scale multimodal networks

Baher Abdulhai, Amer Shalaby, Islam Kamel, 2020, Transport Policy.

Harnessing the Power of HPC in Simulation and Optimization of Large Transportation Networks: Spatio-Temporal Traffic Management in the Greater Toronto Area

Baher Abdulhai, Mohamed Elshenawy, Hossam Abdelgawad, 2018, IEEE Intelligent Transportation Systems Magazine.

Assessment of streetcar transit priority options using microsimulation modelling

Baher Abdulhai, Amer Shalaby, Jinwoo Lee, 2003 .

Application of reinforcement learning with continuous state space to ramp metering in real-world conditions

Baher Abdulhai, Hossam Abdelgawad, Kasra Rezaee, 2012, 2012 15th International IEEE Conference on Intelligent Transportation Systems.

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

Baher Abdulhai, Hossam Abdelgawad, Samah El-Tantawy, 2013, IEEE Transactions on Intelligent Transportation Systems.

Assessing the Potential Impacts of Connected Vehicles: Mobility, Environmental, and Safety Perspectives

Baher Abdulhai, Hossam Abdelgawad, Arash Olia, 2016, J. Intell. Transp. Syst..

Bilateral Deep Reinforcement Learning Approach for Better-than-human Car-following

B. Abdulhai, Tianyu Shi, Yi Ai, 2022, 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).

Efficient Video-Based Vehicle Queue Length Estimation Using Computer Vision and Deep Learning for an Urban Traffic Scenario

M. U. Farooq, B. Abdulhai, Qiang Chen, 2021, Processes.

Traffic capacity implications of automated vehicles mixed with regular vehicles

Baher Abdulhai, Hossam Abdelgawad, Arash Olia, 2018, J. Intell. Transp. Syst..

Reinforcement learning for true adaptive traffic signal control

Baher Abdulhai, G. J. Karakoulas, Grigoris J. Karakoulas, 2003 .

Fusing a Bluetooth Traffic Monitoring System With Loop Detector Data for Improved Freeway Traffic Speed Estimation

Baher Abdulhai, Chris Bachmann, Matthew J. Roorda, 2013, J. Intell. Transp. Syst..

Data imputation and nested seasonality time series modelling for permanent data collection stations: methodology and application to Ontario

Baher Abdulhai, Hossam Abdelgawad, A Hadayeghi, 2015 .

Multimodal iNtelligent Deep (MiND) Traffic Signal Controller

Baher Abdulhai, Soheil Mohamad Alizadeh Shabestary, B. Abdulhai, 2019, 2019 IEEE Intelligent Transportation Systems Conference (ITSC).

Design of Reinforcement Learning Parameters for Seamless Application of Adaptive Traffic Signal Control

Baher Abdulhai, Hossam Abdelgawad, Samah El-Tantawy, 2014, J. Intell. Transp. Syst..

Adaptive Traffic Signal Control With Deep Reinforcement Learning and High Dimensional Sensory Inputs: Case Study and Comprehensive Sensitivity Analyses

B. Abdulhai, Soheil Mohamad Alizadeh Shabestary, 2022, IEEE Transactions on Intelligent Transportation Systems.

Deep Learning vs. Discrete Reinforcement Learning for Adaptive Traffic Signal Control

Baher Abdulhai, Soheil Mohamad Alizadeh Shabestary, B. Abdulhai, 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).

An agent-based learning towards decentralized and coordinated traffic signal control

Baher Abdulhai, Samah El-Tantawy, B. Abdulhai, 2010, 13th International IEEE Conference on Intelligent Transportation Systems.

Assessment of self-learning adaptive traffic signal control on congested urban areas: independent versus coordinated perspectives

Baher Abdulhai, Hossam Abdelgawad, Alireza Hadayeghi, 2015 .

Reinforcement learning: Introduction to theory and potential for transport applications

Baher Abdulhai, Lina Kattan, B. Abdulhai, 2003 .

Closed Loop Optimal Adaptive Traffic Signal and Ramp Control: A Case Study on Downtown Toronto

Baher Abdulhai, Kasra Rezaee, Samah El-Tantawy, 2015, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.

Transportation Big Data Simulation Platform for the Greater Toronto Area (GTA)

Baher Abdulhai, Hossam Abdelgawad, Islam Kamel, 2016 .

Short-term traffic flow forecasting: parametric and nonparametric approaches via emotional temporal difference learning

B. Moshiri, B. Abdulhai, J. Abdi, 2013, Neural Computing and Applications.

Short-Term Traffic Flow Prediction Using Neuro-Genetic Algorithms

Baher Abdulhai, Will Recker, Himanshu Porwal, 2002, J. Intell. Transp. Syst..

Emergency evacuation planning as a network design problem: a critical review

Baher Abdulhai, Hossam Abdelgawad, B. Abdulhai, 2009 .

Genetic algorithm-based combinatorial parametric optimization for the calibration of microscopic traffic simulation models

Baher Abdulhai, Tao Ma, B. Abdulhai, 2001, ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585).

Multiobjective Optimization for Multimodal Evacuation

Baher Abdulhai, Hossam Abdelgawad, Mohamed Wahba, 2010 .

A comparative assessment of multi-sensor data fusion techniques for freeway traffic speed estimation using microsimulation modeling

Chris Bachmann, Matthew J. Roorda, Behzad Moshiri, 2013 .

Optimizing the number and locations of freeway roadside equipment units for travel time estimation in a connected vehicle environment

Baher Abdulhai, Hossam Abdelgawad, Arash Olia, 2017, J. Intell. Transp. Syst..

Genetic Algorithm-Based Optimization Approach and Generic Tool for Calibrating Traffic Microscopic Simulation Parameters

Baher Abdulhai, Tao Ma, B. Abdulhai, 2002 .

Real-Time Transportation Mode Detection via Tracking Global Positioning System Mobile Devices

Baher Abdulhai, Amer Shalaby, Young-Ji Byon, 2009, J. Intell. Transp. Syst..

Automatic Imputation of Missing Highway Traffic Volume Data

Mohamed Elshenawy, Mohamed El-Darieby, Baher Abdulhai, 2018, 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops).

Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization

S. Sanner, B. Abdulhai, Jihwan Jeong, 2022, ICLR.

Machine learning for multi-jurisdictional optimal traffic corridor control

Baher Abdulhai, Celine Jacob, B. Abdulhai, 2010 .

Highway Work Zone Dynamic Traffic Control Using Machine Learning

Baher Abdulhai, Alireza Hadayeghi, Céline Jacob, 2006, 2006 IEEE Intelligent Transportation Systems Conference.

Automated Adaptive Traffic Corridor Control Using Reinforcement Learning: Approach and Case Studies

Baher Abdulhai, Celine Jacob, B. Abdulhai, 2006 .

Microscopic modeling of large-scale pedestrian–vehicle conflicts in the city of Madinah, Saudi Arabia

Baher Abdulhai, Adnan Abdul-Aziz Gutub, Amer Shalaby, 2014 .

Traffic Condition Monitoring with SCAAT Kalman Filter-based Data Fusion in Toronto, Canada

Baher Abdulhai, Amer Shalaby, Chung-Suk Cho, 2019, KSCE Journal of Civil Engineering.

Enhancing the universality and transferability of freeway incident detection using a Bayesian-based neural network

Baher Abdulhai, Stephen G. Ritchie, B. Abdulhai, 1999 .

Safety Evaluation of Truck Lane Restriction Strategies Using Microsimulation Modeling

Matthew J. Roorda, Baher Abdulhai, Shadi Djavadian, 2009 .

Impacts on Traffic Diversion Rates of Changed Message on Changeable Message Sign

Baher Abdulhai, Fred L. Hall, Simon Foo, 2008 .

Mobile Active‐Vision Traffic Surveillance System for Urban Networks

Baher Abdulhai, Amer Shalaby, Ahmed El-Rabbany, 2005 .

Mobile vision-based vehicle tracking and traffic control

A. El-Rabbany, T. Rabie, A. Shalaby, 2002, Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems.

AUTONOMOUS MULTIAGENT REINFORCEMENT LEARNING : 5 GC URBAN TRAFFIC CONTROL?

Baher Abdulhai, Rob Pringle, B. Abdulhai, 2003 .

The application of knowledge management to support the sustainable analysis of urban transportation infrastructure

Baher Abdulhai, T E El-Diraby, K C Pramod, 2005 .

A bi-level distributed approach for optimizing time-dependent congestion pricing in large networks: A simulation-based case study in the Greater Toronto Area

Baher Abdulhai, Aya Aboudina, Aya Aboudina, 2017 .

Deep Reinforcement Learning Two-Way Transit Signal Priority Algorithm for Optimizing Headway Adherence and Speed

A. Shalaby, B. Abdulhai, Wenfeng Hu, 2023, IEEE Transactions on Intelligent Transportation Systems.

Safe, Efficient, and Comfortable Reinforcement-Learning-Based Car-Following for AVs with an Analytic Safety Guarantee and Dynamic Target Speed

B. Abdulhai, Tianyu Shi, Omar ElSamadisy, 2023, Transportation Research Record: Journal of the Transportation Research Board.

Design of an adaptive maximum likelihood estimator for key parameters in macroscopic traffic flow model based on expectation maximum algorithm

Baher Abdulhai, Behzad Moshiri, Amin Ramezani, 2011 .

Estimation of free flow speed and critical density in a segmented freeway using missing data and Monte Carlo-based expectation maximisation algorithm

Baher Abdulhai, Behzad Moshiri, Amin Ramezani, 2011 .

Coordinating Urban Incident Management & Reconstruction Using Social Web

Baher Abdulhai, Tamer E. El-Diraby, Mahmoud Osman Abou-Beih, 2010 .

Development of a hybrid modelling approach for the generation of an urban on-road transportation emission inventory

An Wang, Baher Abdulhai, Marianne Hatzopoulou, 2018, Transportation Research Part D: Transport and Environment.

Modeling Driver Psychological Deliberation During Dynamic Route Selection Processes

Baher Abdulhai, Hoda Talaat, B. Abdulhai, 2006, 2006 IEEE Intelligent Transportation Systems Conference.

Simple Mixed Reality Infrastructure for Experimental Analysis of Route Choice Behavior

Baher Abdulhai, Hoda Talaat, Mohamed Sayed Masoud, 2008 .

Freeway congestion management on multiple consecutive bottlenecks with RL‐based headway control of autonomous vehicles

B. Abdulhai, Ilia Smirnov, Lina Elmorshedy, 2024, IET Intelligent Transport Systems.

Short Term Freeway Traffic Flow Prediction Using Genetically-Optimized Time-Delay-Based Neural Networks

B. Abdulhai, W. Recker, Himanshu Porwal, 1999 .

Robust Network Design for Roadway Networks: Unifying Framework and Application

Baher Abdulhai, Ali Tizghadam, Alberto Leon-Garcia, 2015, IEEE Intelligent Transportation Systems Magazine.

Sensitivity Analysis of an Evolutionary-Based Time-Dependent Origin/Destination Estimation Framework

Baher Abdulhai, Lina Kattan, B. Abdulhai, 2012, IEEE Transactions on Intelligent Transportation Systems.