Bilal Farooq

Orcid: 0000-0003-1980-5645

According to our database1, Bilal Farooq authored at least 78 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Bibliography

2024
Decoding Pedestrian Stress on Urban Streets using Electrodermal Activity Monitoring in Virtual Immersive Reality.
CoRR, 2024

A deep causal inference model for fully-interpretable travel behaviour analysis.
CoRR, 2024

Decoding Driver Takeover Behaviour in Conditional Automation with Immersive Virtual Reality.
CoRR, 2024

Towards a large-scale fused and labeled dataset of human pose while interacting with robots in shared urban areas.
CoRR, 2024

Defense via Behavior Attestation against Attacks in Connected and Automated Vehicles based Federated Learning Systems.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

2023
Resilience-by-design in Adaptive Multi-agent Traffic Control Systems.
ACM Trans. Priv. Secur., August, 2023

Centralized and decentralized algorithms for two-to-one matching problem in ridehailing systems.
EURO J. Transp. Logist., 2023

Exploring sustainable pathways for urban traffic decarbonization: vehicle technologies, management strategies, and driving behaviour.
CoRR, 2023

Driver Heterogeneity in Willingness to Give Control to Conditional Automation.
CoRR, 2023

Sustainability Analysis Framework for On-Demand Public Transit Systems.
CoRR, 2023

Attention-LSTM for Multivariate Traffic State Prediction on Rural Roads.
CoRR, 2023

Untargeted Poisoning Attack Detection in Federated Learning via Behavior AttestationAl.
IEEE Access, 2023

2022
Prediction of Traffic Flow via Connected Vehicles.
IEEE Trans. Mob. Comput., 2022

Composite Travel Generative Adversarial Networks for Tabular and Sequential Population Synthesis.
IEEE Trans. Intell. Transp. Syst., 2022

Auxiliary-LSTM based floor-level occupancy prediction using Wi-Fi access point logs.
J. Smart Cities Soc., 2022

Debiased machine learning for estimating the causal effect of urban traffic on pedestrian crossing behaviour.
CoRR, 2022

Robustness Analysis of Deep Learning Models for Population Synthesis.
CoRR, 2022

Ordinal-ResLogit: Interpretable Deep Residual Neural Networks for Ordered Choices.
CoRR, 2022

Decentralized Matching in Shared Intelligent Vehicles Fleet.
CoRR, 2022

The Impact of COVID-19 Pandemic on Ridesourcing Services Differed Between Small Towns and Large Cities.
CoRR, 2022

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

Ordered-logit pedestrian stress model for traffic flow with automated vehicles.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Distributed Ride-Matching for Shared Ridehailing Service with Intelligent City Infrastructure.
Proceedings of the IEEE International Smart Cities Conference, 2022

eFedDNN: Ensemble based Federated Deep Neural Networks for Trajectory Mode Inference.
Proceedings of the IEEE International Smart Cities Conference, 2022

2021
Modeling, Relocation, and Real-Time Inventory Control of One-Way Electric Cars Sharing Systems in a Stochastic Petri Nets Framework.
IEEE Trans. Intell. Transp. Syst., 2021

Analysis of pedestrian stress level using GSR sensor in virtual immersive reality.
CoRR, 2021

Multi-task Recurrent Neural Networks to Simultaneously Infer Mode and Purpose in GPS Trajectories.
CoRR, 2021

A Decentralized Shared CAV System Design and Application.
CoRR, 2021

A context-aware pedestrian trajectory prediction framework for automated vehicles.
CoRR, 2021

Demand for shared mobility to replace private mobility using connected and automated vehicles.
CoRR, 2021

Demand for shared mobility to complement public transportation: Human driven and autonomous vehicles.
CoRR, 2021

Are Work Zones and Connected Automated Vehicles Ready for a Harmonious Coexistence? A Scoping Review and Research Agenda.
CoRR, 2021

Untargeted Poisoning Attack Detection in Federated Learning via Behavior Attestation.
CoRR, 2021

Graph-based many-to-one dynamic ride-matching for shared mobility services in congested networks.
CoRR, 2021

On the Initial Behavior Monitoring Issues in Federated Learning.
IEEE Access, 2021

Cybersecurity Threats in Connected and Automated Vehicles based Federated Learning Systems.
Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

2020
Ensemble Convolutional Neural Networks for Mode Inference in Smartphone Travel Survey.
IEEE Trans. Intell. Transp. Syst., 2020

Cooperative Evaluation of the Cause of Urban Traffic Congestion via Connected Vehicles.
IEEE Trans. Intell. Transp. Syst., 2020

Multi-Factor Taxonomy of Eco-Routing Models and Future Outlook.
J. Sensors, 2020

A Differentially Private Multi-Output Deep Generative Networks Approach For Activity Diary Synthesis.
CoRR, 2020

Smart Mobility Ontology: Current Trends and Future Directions.
CoRR, 2020

A Minimax Game for Resilient-by-design Adaptive Traffic Control Systems.
CoRR, 2020

Spatio-Temporal Analysis of On Demand Transit: A Case Study of Belleville, Canada.
CoRR, 2020

Machine Learning Based Demand Modelling for On-Demand Transit Services: A Case Study of Belleville, Ontario.
CoRR, 2020

Applications of brain imaging methods in driving behaviour research.
CoRR, 2020

Deep Learning Based Anticipatory Multi-Objective Eco-Routing Strategies for Connected and Automated Vehicles.
CoRR, 2020

Multi-Objective Eco-Routing for Dynamic Control of Connected & Automated Vehicles.
CoRR, 2020

Greenhouse Gas Emission Prediction on Road Network using Deep Sequence Learning.
CoRR, 2020

Decoding pedestrian and automated vehicle interactions using immersive virtual reality and interpretable deep learning.
CoRR, 2020

Actor-based risk analysis for blockchains in smart mobility.
Proceedings of the CryBlock@MOBICOM 2020: Proceedings of the 3rd Workshop on Cryptocurrencies and Blockchains for Distributed Systems, 2020

Multimodal Autonomous Last-Mile Delivery System Design and Application.
Proceedings of the IEEE International Smart Cities Conference, 2020

2019
A blockchain-based user-centric emission monitoring and trading system for multi-modal mobility.
CoRR, 2019

A multi-layered blockchain framework for smart mobility data-markets.
CoRR, 2019

DeepSurvival: Pedestrian Wait Time Estimation in Mixed Traffic Conditions Using Deep Survival Analysis.
CoRR, 2019

Analysis of distracted pedestrians' waiting time: Head-Mounted Immersive Virtual Reality application.
CoRR, 2019

Semi-supervised GANs to Infer Travel Modes in GPS Trajectories.
CoRR, 2019

A semi-supervised deep residual network for mode detection in Wi-Fi signals.
CoRR, 2019

Perturbation Privacy for Sensitive Locations in Transit Data Publication: A Case Study of Montreal Trajet Surveys.
CoRR, 2019

Virtual Immersive Reality based Analysis of Behavioral Responses in Connected and Autonomous Vehicle Environment.
CoRR, 2019

A combined entropy and utility based generative model for large scale multiple discrete-continuous travel behaviour data.
CoRR, 2019

Multi-Objective Autonomous Braking System using Naturalistic Dataset.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

DeepWait: Pedestrian Wait Time Estimation in Mixed Traffic Conditions Using Deep Survival Analysis.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Privacy-Aware Distributed Mobility Choice Modelling over Blockchain.
Proceedings of the 2019 IEEE International Smart Cities Conference, 2019

Multi-objective Eco-routing in a Distributed Routing Framework.
Proceedings of the 2019 IEEE International Smart Cities Conference, 2019

2018
Activity patterns mining in Wi-Fi access point logs.
Comput. Environ. Urban Syst., 2018

An efficient hierarchical model for multi-source information fusion.
Expert Syst. Appl., 2018

A Perspective on the Challenges and Opportunities for Privacy-Aware Big Transportation Data.
CoRR, 2018

Impact of Smartphone Distraction on Pedestrians' Crossing Behaviour: An Application of Head-Mounted Immersive Virtual Reality.
CoRR, 2018

Virtual Immersive Reality for Stated Preference Travel Behaviour Experiments: A Case Study of Autonomous Vehicles on Urban Roads.
CoRR, 2018

Modelling Latent Travel Behaviour Characteristics with Generative Machine Learning.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

A blockchain framework for smart mobility.
Proceedings of the IEEE International Smart Cities Conference, 2018

Mobility Mode Detection Using WiFi Signals.
Proceedings of the IEEE International Smart Cities Conference, 2018

Impact of Distributed Routing of Intelligent Vehicles on Urban Traffic.
Proceedings of the IEEE International Smart Cities Conference, 2018

2017
Distributed Classification of Urban Congestion Using VANET.
IEEE Trans. Intell. Transp. Syst., 2017

Discriminative conditional restricted Boltzmann machine for discrete choice and latent variable modelling.
CoRR, 2017

An investigation into machine learning approaches for forecasting spatio-temporal demand in ride-hailing service.
CoRR, 2017

Distracted pedestrians crossing behaviour: Application of immersive head mounted virtual reality.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

2012
Business Intelligence at Telenor Pakistan.
Proceedings of the International Conference on Information Systems, 2012


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