b'Bilal Farooq'

research

∙ 08/28/2023

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

The global fight against climate change and air pollution prioritizes th...

0 Saba Sabet, et al. ∙

research

∙ 08/12/2023

Driver Heterogeneity in Willingness to Give Control to Conditional Automation

The driver's willingness to give (WTG) control in conditionally automate...

0 Muhammad Sajjad Ansar, et al. ∙

research

∙ 03/10/2023

Sustainability Analysis Framework for On-Demand Public Transit Systems

There is an increased interest from transit agencies to replace fixed-ro...

0 Nael Alsaleh, et al. ∙

research

∙ 01/06/2023

Attention-LSTM for Multivariate Traffic State Prediction on Rural Roads

Accurate traffic volume and speed prediction have a wide range of applic...

0 Elahe Sherafat, et al. ∙

research

∙ 12/21/2022

Debiased machine learning for estimating the causal effect of urban traffic on pedestrian crossing behaviour

Before the transition of AVs to urban roads and subsequently unprecedent...

0 Kimia Kamal, et al. ∙

research

∙ 11/23/2022

Robustness Analysis of Deep Learning Models for Population Synthesis

Deep generative models have become useful for synthetic data generation,...

0 Daniel Opoku Mensah, et al. ∙

research

∙ 05/11/2022

eFedDNN: Ensemble based Federated Deep Neural Networks for Trajectory Mode Inference

As the most significant data source in smart mobility systems, GPS traje...

0 Daniel Opoku Mensah, et al. ∙

research

∙ 04/24/2022

Ordered-logit pedestrian stress model for traffic flow with automated vehicles

An ordered-logit model is developed to study the effects of Automated Ve...

0 Kimia Kamal, et al. ∙

research

∙ 04/20/2022

Ordinal-ResLogit: Interpretable Deep Residual Neural Networks for Ordered Choices

This study presents an Ordinal version of Residual Logit (Ordinal-ResLog...

0 Kimia Kamal, et al. ∙

research

∙ 02/02/2022

Decentralized Matching in Shared Intelligent Vehicles Fleet

High computational time is one of the most important operational issues ...

0 Seyed Mehdi Meshkani, et al. ∙

research

∙ 01/26/2022

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

The COVID-19 pandemic has significantly influenced all modes of transpor...

0 Nael Alsaleh, et al. ∙

research

∙ 11/22/2021

Analysis of pedestrian stress level using GSR sensor in virtual immersive reality

Level of emotional arousal of one's body changes in response to external...

0 Mahwish Mudassar, et al. ∙

research

∙ 10/23/2021

Multi-task Recurrent Neural Networks to Simultaneously Infer Mode and Purpose in GPS Trajectories

Multi-task learning is assumed as a powerful inference method, specifica...

0 Ali Yazdizadeh, et al. ∙

research

∙ 09/11/2021

On the Initial Behavior Monitoring Issues in Federated Learning

In Federated Learning (FL), a group of workers participate to build a gl...

0 Ranwa Al Mallah, et al. ∙

research

∙ 04/17/2021

A Decentralized Shared CAV System Design and Application

In this study, we propose a novel heuristic two-step algorithm for share...

0 Sayed Mehdi Meshkani, et al. ∙

research

∙ 04/16/2021

A context-aware pedestrian trajectory prediction framework for automated vehicles

With the unprecedented shift towards automated urban environments in rec...

0 Arash Kalatian, et al. ∙

research

∙ 02/26/2021

Cybersecurity Threats in Connected and Automated Vehicles based Federated Learning Systems

Federated learning (FL) is a machine learning technique that aims at tra...

0 Ranwa Al Mallah, et al. ∙

research

∙ 01/29/2021

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

The recent advent of connected and automated vehicles (CAVs) is expected...

0 Amjad Dehman, et al. ∙

research

∙ 01/24/2021

Untargeted Poisoning Attack Detection in Federated Learning via Behavior Attestation

Federated Learning (FL) is a paradigm in Machine Learning (ML) that addr...

0 Ranwa Al Mallah, et al. ∙

research

∙ 01/21/2021

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

On-demand shared mobility systems require matching of one (one-to-one) o...

0 Seyed Mehdi Meshkani, et al. ∙

research

∙ 12/29/2020

A Differentially Private Multi-Output Deep Generative Networks Approach For Activity Diary Synthesis

In this work, we develop a privacy-by-design generative model for synthe...

3 Godwin Badu-Marfo, et al. ∙

research

∙ 12/15/2020

Smart Mobility Ontology: Current Trends and Future Directions

Ontology is the explicit and formal representation of the concepts in a ...

0 Ali Yazdizadeh, et al. ∙

research

∙ 12/04/2020

A Minimax Game for Resilient-by-design Adaptive Traffic Control Systems

Connected and Autonomous Vehicles (CAVs) with their evolving data gather...

0 Ranwa Al Mallah, et al. ∙

research

∙ 12/04/2020

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

The rapid increase in the cyber-physical nature of transportation, avail...

0 Irum Sanaullah, et al. ∙

research

∙ 10/27/2020

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

The use of mobile applications apps and GPS service on smartphones for t...

0 Nael Alsaleh, et al. ∙

research

∙ 09/03/2020

Multimodal Autonomous Last Mile Delivery System Design and Application

With the rapid increase in congestion, alternative solutions are needed ...

0 Farah Samouh, et al. ∙

research

∙ 07/18/2020

Applications of brain imaging methods in driving behaviour research

Applications of neuroimaging methods have substantially contributed to t...

0 Milad Haghani, et al. ∙

research

∙ 07/16/2020

Actor-based Risk Analysis for Blockchains in Smart Mobility

Blockchain technology is a crypto-based secure ledger for data storage a...

0 Ranwa Al Mallah, et al. ∙

research

∙ 07/10/2020

Prediction of Traffic Flow via Connected Vehicles

We propose a Short-term Traffic flow Prediction (STP) framework so that ...

0 Ranwa Al Mallah, et al. ∙

research

∙ 06/30/2020

Deep Learning Based Anticipatory Multi-Objective Eco-Routing Strategies for Connected and Automated Vehicles

This study exploits the advancements in information and communication te...

0 Lama Alfaseeh, et al. ∙

research

∙ 05/02/2020

Multi-Objective Eco-Routing for Dynamic Control of Connected Automated Vehicles

The advent of intelligent vehicles that can communicate with infrastruct...

0 Shadi Djavadian, et al. ∙

research

∙ 04/16/2020

Greenhouse Gas Emission Prediction on Road Network using Deep Sequence Learning

Mitigating the substantial undesirable impact of transportation systems ...

0 Lama Alfaseeh, et al. ∙

research

∙ 04/15/2020

Composite Travel Generative Adversarial Networks for Tabular and Sequential Population Synthesis

Agent-based transportation modelling has become the standard to simulate...

1 Godwin Badu-Marfo, et al. ∙

research

∙ 02/18/2020

Decoding pedestrian and automated vehicle interactions using immersive virtual reality and interpretable deep learning

To ensure pedestrian friendly streets in the era of automated vehicles, ...

0 Arash Kalatian, et al. ∙

research

∙ 08/15/2019

A blockchain-based user-centric emission monitoring and trading system for multi-modal mobility

Since the transport sector accounts for one of the highest shares of gre...

0 Johannes Eckert, et al. ∙

research

∙ 08/09/2019

Privacy-Aware Distributed Mobility Choice Modelling over Blockchain

A generalized distributed tool for mobility choice modelling is presente...

0 David Lopez, et al. ∙

research

∙ 07/16/2019

Information processing constraints in travel behaviour modelling: A generative learning approach

Travel decisions tend to exhibit sensitivity to uncertainty and informat...

0 Melvin Wong, et al. ∙

research

∙ 06/14/2019

A multi-layered blockchain framework for smart mobility data-markets

Blockchain has the potential to render the transaction of information mo...

0 David Lopez, et al. ∙

research

∙ 04/18/2019

Ensemble Convolutional Neural Networks for Mode Inference in Smartphone Travel Survey

We develop ensemble Convolutional Neural Networks (CNNs) to classify the...

0 Ali Yazdizadeh, et al. ∙

research

∙ 04/16/2019

DeepSurvival: Pedestrian Wait Time Estimation in Mixed Traffic Conditions Using Deep Survival Analysis

Pedestrian's road crossing behaviour is one of the important aspects of ...

0 Arash Kalatian, et al. ∙

research

∙ 04/15/2019

Multi-Objective Autonomous Braking System using Naturalistic Dataset

A deep reinforcement learning based multi-objective autonomous braking s...

0 Rafael Vasquez, et al. ∙

research

∙ 03/28/2019

Analysis of distracted pedestrians' waiting time: Head-Mounted Immersive Virtual Reality application

This paper analyzes the distracted pedestrians' waiting time before cros...

0 Arash Kalatian, et al. ∙

research

∙ 02/27/2019

Semi-supervised GANs to Infer Travel Modes in GPS Trajectories

Semi-supervised Generative Adversarial Networks (GANs) are developed in ...

0 Ali Yazdizadeh, et al. ∙

research

∙ 02/17/2019

A semi-supervised deep residual network for mode detection in Wi-Fi signals

Due to their ubiquitous and pervasive nature, Wi-Fi networks have the po...

0 Arash Kalatian, et al. ∙

research

∙ 01/22/2019

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

Smartphone based travel data collection has become an important tool for...

0 Godwin Badu-Marfo, et al. ∙

research

∙ 01/22/2019

Virtual Immersive Reality based Analysis of Behavioral Responses in Connected and Autonomous Vehicle Environment

Recently, we developed a dynamic distributed end-to-end vehicle routing ...

0 Shadi Djavadian, et al. ∙

research

∙ 01/18/2019

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

Generative models, either by simple clustering algorithms or deep neural...

0 Melvin Wong, et al. ∙

research

∙ 11/23/2018

A Perspective on the Challenges and Opportunities for Privacy-Aware Big Transportation Data

In recent years, and especially since the development of the smartphone,...

0 Godwin Badu-Marfo, et al. ∙

research

∙ 09/16/2018

Mobility Mode Detection Using WiFi Signals

We utilize Wi-Fi communications from smartphones to predict their mobili...

0 Arash Kalatian, et al. ∙

research

∙ 09/16/2018

A blockchain framework for smart mobility

A blockchain framework is presented for addressing the privacy and secur...

0 David Lopez, et al. ∙

Bilal Farooq

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