publications

2024


Ansar, M.S., Alsaleh, N., Farooq, B., 2024. Driver Heterogeneity in Willingness to Give Control to Conditional Automation. Transportation Research Part F: Traffic Psychology and Behaviour.


2023


Kamal, K., Farooq, B., 2023. Ordinal-ResLogit: Interpretable deep residual neural networks for ordered choices. Journal of Choice Modelling.


Almallah, R., Lopez, D., Badu-Marfo, G., Farooq, B., 2023. Untargeted Poisoning Attack Detection in Federated Learning via Behavior Attestation. IEEE Access.


Alsaleh, N., Farooq, B., Zhang, Y., Farber, Z., 2023. On-demand transit user preference analysis using hybrid choice models. Journal of Choice Modelling.


Alsaleh, N., Farooq, B., 2023. Sustainability Analysis Framework for On-Demand Public Transit Systems. Scientific Reports.


Dehman, A., Farooq, B., 2023. Capacity Characteristics of Long-Term Work Zones on Signalized Intersection Approaches. Transportation Research Part A: Policy and Practice.


Badu-Marfo, G., Farooq, B., Mensah, D.O., AlMallah, R., 2023. An Ensemble Federated Learning Framework for Privacy-by-Design Mobility Behaviour Inference in Smart Cities. Sustainable Cities and Society.


Almallah, R., Halabi, T., Farooq, B., 2023. Resilience-by-design in Adaptive Multi-Agent Traffic Control Systems. ACM Transactions on Privacy and Security.


Ansar, M.S., Alsaleh, N., Farooq, B., 2023. Behavioural Modelling of Automated to Manual Control Transition in Conditionally Automated Driving. Transportation Research Part F: Traffic Psychology and Behaviour.


Zhang, S.R., Farooq, B., 2023. Interpretable and Actionable Vehicular Greenhouse Gas Emission Prediction at Road link-level. Journal of Sustainable Cities and Society.


Meshkani, S.M., Farooq, B., 2023. Centralized and decentralized algorithms for two-to-one matching problem in ridehailing systems. EURO Journal on Transportation and Logistics.


Kamal, K., Farooq, B., 2023. Debiased machine learning for estimating the causal effect of urban traffic on pedestrian crossing behaviour. Transportation Research Record.


2022


Alsaleh, N., Farooq, B., 2022. The impact of COVID-19 pandemic on ridesourcing services differed between small towns and large cities. PLOS ONE


Sabet, S., Farooq, B., 2022. Green Vehicle Routing Problem: State of the Art and Future Directions. IEEE Access.


Ahmad, O., Farooq, B., 2022. Auxiliary-LSTM based floor-level occupancy prediction using Wi-Fi access point logs. Journal of Smart Cities and Society


Badu-Marfo, G., Farooq, B., Patterson, Z., 2022. Composite Travel Generative Adversarial Networks for Tabular and Sequential Population Synthesis. IEEE Transactions on Intelligent Transportation Systems.


2021


Al Mallah, R., Badu-Marfo G., Farooq, B., 2021. On the Initial Behavior Monitoring Issues in Federated Learning. IEEE Access.


Mudassar, M., Kalatian, A., Farooq, B., 2022. Analysis of pedestrian stress level using GSR sensor in virtual immersive reality. Collective Dynamics.


Kalatian, A., Farooq, B., 2022. A context-aware pedestrian trajectory prediction framework for automated vehicles. Transportation Research Part C: Emerging Technologies.


Dehman, A., Farooq, B., 2021. Are Work Zones and Connected Automated Vehicles Ready for a Harmonious Coexistence? A Scoping Review and Research Agenda. Transportation Research Part C: Emerging Technologies.


Alsaleh, N., Farooq, B., 2021. Interpretable Data-Driven Demand Modelling for On-Demand Transit Services. Transportation Research Part A: Policy and Practice.


Meshkani, A., Farooq, B., 2021. A generalized ride-matching approach for sustainable shared mobility. Sustainable Cities and Society.


Buerstlein, J., Lopez, D., Farooq, B., 2021. Exploring first-mile on-demand transit solutions for North American suburbia: A case study of Markham, Canada. Transportation Research Part A: Policy and Practice.


Al Mallah, R., Lopez, D., Farooq, B., 2021. Cyber-Security Risk Assessment Framework for Blockchains in Smart Mobility. IEEE Open Journal of Intelligent Transportation Systems.


Yazdizadeh, A., Patterson, Z., Farooq, B., 2021. Semi-supervised GANs to Infer Travel Modes in GPS Trajectories. Journal of Big Data Analytics in Transportation.


Haghani, M., Bliemer, M.C.J., Farooq, B., Kim, I., Li, Z., Oh, C., Shahhoseini, Z., MacDougall, H., 2021. Applications of brain imaging methods in driving behaviour research. Accident Analysis & Prevention.


Yazdizadeh, A., Farooq, B., 2021. Smart Mobility Ontology: Current Trends and Future Directions. In: Augusto J.C. (eds) Handbook of Smart Cities. Springer, Cham.


Wong, M., Farooq, B., 2021. ResLogit: A residual neural network logit model for data-driven choice modelling. Transportation Research Part C: Emerging Technologies.


Sanaullah, I. (equal contribution), Alsaleh, N. (equal contribution), Djavadian, S., Farooq, B., 2021. Spatio-Temporal Analysis of On-Demand Transit: A Case Study of Belleville, Canada. Transportation Research Part A: Policy and Practice.


2020


Kalatian, A., Farooq, B., 2021. Decoding pedestrian and automated vehicle interactions using immersive virtual reality and interpretable deep learning. Transportation Research Part C: Emerging Technologies.


Ansar, M.S., Ma, Y., Chen, S., Tang, K., and Zhang, Z., 2020. Investigating the trip configured causal effect of distracted driving on aggressive driving behavior for e-hailing taxi drivers. Journal of Traffic and Transportation Engineering.


Alfaseeh, L., Farooq, B., 2020. Deep Learning Based Proactive Multi-Objective Eco-Routing Strategies for Connected & Automated Vehicles. Frontiers in Future Transportation.


Alfaseeh, L., Tu, R., Farooq, B., Hatzopoulou, M., 2020. Greenhouse Gas Emission Prediction on Road Network Using Deep Sequence Learning. Transportation Research Part D: Transport and Environment.


Kalatian, A., Farooq, B., 2020. A semi-supervised deep residual network for mode detection in Wi-Fi signals. Journal of Big Data Analytics in Transportation.


Djavadian, S., Tu, R., Farooq, B., Hatzopoulou, M., 2020. Multi-Objective Eco-Routing for Dynamic Control of Connected and Automated Vehicles. Transportation Research Part D: Transport and Environment.


Tu, R., Gai, Y., Farooq, B., Posen, D., Hatzopoulou, M. 2020. Electric vehicle charging optimization to minimize marginal greenhouse gas emissions from power generation. Applied Energy.


Al Mallah, R., Quintero, A., Farooq, B., 2020. Prediction of Traffic Flow via Connected Vehicles. IEEE Transaction on Mobile Computing.


Benarbia, T., Axhausen, K., Farooq, B., 2020. Modelling, Relocation and Real-Time Inventory Control of One-Way Electric Cars Sharing Systems in a Stochastic Petri nets framework. IEEE Transactions on Intelligent Transportation Systems.


López, D., Farooq, B., 2020. A multi-layered blockchain framework for smart mobility data-markets. Transportation Research Part C: Emerging Technologies.


2019


Alfaseeh, L., Farooq, B., 2020. Multi-Factor Taxonomy of Eco-Routing Models and Future Outlook. Sensors.


Wong, M., Farooq, B., 2020. A bi-partite generative model framework for analyzing and simulating large scale multiple discrete-continuous travel behaviour data. Transportation Research Part C: Emerging Technologies.


Tu, R., Alfaseeh, L., Djavadian, S., Farooq, B., Hatzopoulou, M., 2019. Quantifying the impacts of dynamic control in connected and automated vehicles on greenhouse gas emissions and urban NO2 concentrations. Transportation Research Part D: Transport and Environment.


Farooq, B., Djavadian, S., 2019. Distributed Traffic Management System with Dynamic End-to-End Routing.


Yazdizadeh, A., Patterson, Z., Farooq, B., 2019. Ensemble Convolutional Neural Networks for Mode Inference in Smartphone Travel Survey. IEEE Transactions on Intelligent Transportation Systems.


Alizadeh, H., Farooq, B., Morency C., Saunier, N., 2019. Frequent Versus Occasional Drivers: A Hybrid Route Choice Model. Transportation Research Part F: Traffic Psychology and Behaviour.


Beaulieu, A., Farooq, B., 2019. A Dynamic Mixed Logit Model with Agent Effect for Pedestrian Next Location Choice Using Ubiquitous Wi-Fi Network Data. Journal of Big Data Analytics in Transportation. Forthcoming.


Badu-Marfo, G., Farooq, B., Patterson, Z., 2019. Perturbation Privacy for Sensitive Locations in Transit Data Publication: A Case Study of Montreal Trajet Surveys. Transportation research record, forthcoming.


Badu-Marfo, G., Farooq, B., Patterson, Z., 2019. A Perspective on the Challenges and Opportunities for Privacy-Aware Big Transportation Data. Journal of Big Data Analytics in Transportation. Forthcoming.


Yazdizadeh, A., Patterson, Z., Farooq, B., 2019. Semi-supervised GANs to Infer Travel Modes in GPS Trajectories. arXiv preprint arxiv:1902.10768.


Kalatian, A., Farooq, B., 2019. A semi-supervised deep residual network for mode detection in Wi-Fi signals. arXiv preprint arXiv:1902.06284.


Djavadian, S., Farooq, B., Vasquez, R. and Yip, G., 2019. Chapter 30: Virtual Immersive Reality based Analysis of Behavioral Responses in Connected and Autonomous Vehicle Environment. Mapping the Travel Behavior Genome: The Role of Disruptive Technologies, Automation, and Experimentation. preprint arXiv:1901.07151.


Wong, M., Farooq, B., 2019. A combined entropy and utility based generative model for large scale multiple discrete-continuous travel behaviour data. arXiv preprint arXiv:1901.06415.


Al Mallah, R., Quintero, A., Farooq, B., 2019. Cooperative Evaluation of the Cause of Urban Traffic Congestion via Connected Vehicles. IEEE Transaction on Intelligent Transportation Systems.


2018


Wong M., Farooq B., Bilodeau, G.-A., 2018. Discriminative conditional restricted Boltzmann machine for discrete choice and latent variable modelling. Journal of Choice Modelling 42, pp. 152-168.


Farooq, B., Cherchi, E. and Sobhani, A., 2018. Virtual immersive reality for stated preference travel behavior experiments: a case study of autonomous vehicles on urban roads. Transportation research record, 2672(50), pp.35-45.


Wong, M. and Farooq, B., 2018. Modelling Latent Travel Behaviour Characteristics with Generative Machine Learning. In 2018 21st International Conference on Intelligent Transportation Systems (ITSC), pp. 749-754.