b'Bilal Farooq'

A Decentralized Shared CAV System Design and Application

In this study, we propose a novel heuristic two-step algorithm for share...
04/17/2021 ∙ by Sayed Mehdi Meshkani, et al. ∙ 0 ∙ share

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A context-aware pedestrian trajectory prediction framework for automated vehicles

With the unprecedented shift towards automated urban environments in rec...
04/16/2021 ∙ by Arash Kalatian, et al. ∙ 0 ∙ share

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Cybersecurity Threats in Connected and Automated Vehicles based Federated Learning Systems

Federated learning (FL) is a machine learning technique that aims at tra...
02/26/2021 ∙ by Ranwa Al Mallah, et al. ∙ 0 ∙ share

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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...
01/29/2021 ∙ by Amjad Dehman, et al. ∙ 0 ∙ share

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Untargeted Poisoning Attack Detection in Federated Learning via Behavior Attestation

Federated Learning (FL) is a paradigm in Machine Learning (ML) that addr...
01/24/2021 ∙ by Ranwa Al Mallah, et al. ∙ 0 ∙ share

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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...
01/21/2021 ∙ by Seyed Mehdi Meshkani, et al. ∙ 0 ∙ share

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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...
12/29/2020 ∙ by Godwin Badu-Marfo, et al. ∙ 3 ∙ share

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Smart Mobility Ontology: Current Trends and Future Directions

Ontology is the explicit and formal representation of the concepts in a ...
12/15/2020 ∙ by Ali Yazdizadeh, et al. ∙ 0 ∙ share

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

Connected and Autonomous Vehicles (CAVs) with their evolving data gather...
12/04/2020 ∙ by Ranwa Al Mallah, et al. ∙ 0 ∙ share

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

The rapid increase in the cyber-physical nature of transportation, avail...
12/04/2020 ∙ by Irum Sanaullah, et al. ∙ 0 ∙ share

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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...
10/27/2020 ∙ by Nael Alsaleh, et al. ∙ 0 ∙ share

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Multimodal Autonomous Last Mile Delivery System Design and Application

With the rapid increase in congestion, alternative solutions are needed ...
09/03/2020 ∙ by Farah Samouh, et al. ∙ 0 ∙ share

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Applications of brain imaging methods in driving behaviour research

Applications of neuroimaging methods have substantially contributed to t...
07/18/2020 ∙ by Milad Haghani, et al. ∙ 0 ∙ share

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Actor-based Risk Analysis for Blockchains in Smart Mobility

Blockchain technology is a crypto-based secure ledger for data storage a...
07/16/2020 ∙ by Ranwa Al Mallah, et al. ∙ 0 ∙ share

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Prediction of Traffic Flow via Connected Vehicles

We propose a Short-term Traffic flow Prediction (STP) framework so that ...
07/10/2020 ∙ by Ranwa Al Mallah, et al. ∙ 0 ∙ share

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

This study exploits the advancements in information and communication te...
06/30/2020 ∙ by Lama Alfaseeh, et al. ∙ 0 ∙ share

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

The advent of intelligent vehicles that can communicate with infrastruct...
05/02/2020 ∙ by Shadi Djavadian, et al. ∙ 0 ∙ share

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Greenhouse Gas Emission Prediction on Road Network using Deep Sequence Learning

Mitigating the substantial undesirable impact of transportation systems ...
04/16/2020 ∙ by Lama Alfaseeh, et al. ∙ 0 ∙ share

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Composite Travel Generative Adversarial Networks for Tabular and Sequential Population Synthesis

Agent-based transportation modelling has become the standard to simulate...
04/15/2020 ∙ by Godwin Badu-Marfo, et al. ∙ 1 ∙ share

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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, ...
02/18/2020 ∙ by Arash Kalatian, et al. ∙ 0 ∙ share

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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...
08/15/2019 ∙ by Johannes Eckert, et al. ∙ 0 ∙ share

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Privacy-Aware Distributed Mobility Choice Modelling over Blockchain

A generalized distributed tool for mobility choice modelling is presente...
08/09/2019 ∙ by David Lopez, et al. ∙ 0 ∙ share

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

Travel decisions tend to exhibit sensitivity to uncertainty and informat...
07/16/2019 ∙ by Melvin Wong, et al. ∙ 0 ∙ share

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

Blockchain has the potential to render the transaction of information mo...
06/14/2019 ∙ by David Lopez, et al. ∙ 0 ∙ share

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Ensemble Convolutional Neural Networks for Mode Inference in Smartphone Travel Survey

We develop ensemble Convolutional Neural Networks (CNNs) to classify the...
04/18/2019 ∙ by Ali Yazdizadeh, et al. ∙ 0 ∙ share

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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 ...
04/16/2019 ∙ by Arash Kalatian, et al. ∙ 0 ∙ share

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Multi-Objective Autonomous Braking System using Naturalistic Dataset

A deep reinforcement learning based multi-objective autonomous braking s...
04/15/2019 ∙ by Rafael Vasquez, et al. ∙ 0 ∙ share

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

This paper analyzes the distracted pedestrians' waiting time before cros...
03/28/2019 ∙ by Arash Kalatian, et al. ∙ 0 ∙ share

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Semi-supervised GANs to Infer Travel Modes in GPS Trajectories

Semi-supervised Generative Adversarial Networks (GANs) are developed in ...
02/27/2019 ∙ by Ali Yazdizadeh, et al. ∙ 0 ∙ share

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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...
02/17/2019 ∙ by Arash Kalatian, et al. ∙ 0 ∙ share

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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...
01/22/2019 ∙ by Godwin Badu-Marfo, et al. ∙ 0 ∙ share

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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 ...
01/22/2019 ∙ by Shadi Djavadian, et al. ∙ 0 ∙ share

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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...
01/18/2019 ∙ by Melvin Wong, et al. ∙ 0 ∙ share

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

In recent years, and especially since the development of the smartphone,...
11/23/2018 ∙ by Godwin Badu-Marfo, et al. ∙ 0 ∙ share

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Mobility Mode Detection Using WiFi Signals

We utilize Wi-Fi communications from smartphones to predict their mobili...
09/16/2018 ∙ by Arash Kalatian, et al. ∙ 0 ∙ share

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A blockchain framework for smart mobility

A blockchain framework is presented for addressing the privacy and secur...
09/16/2018 ∙ by David Lopez, et al. ∙ 0 ∙ share

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Modelling Latent Travel Behaviour Characteristics with Generative Machine Learning

In this paper, we implement an information-theoretic approach to travel ...
09/15/2018 ∙ by Melvin Wong, et al. ∙ 0 ∙ share

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

A novel head-mounted virtual immersive/interactive reality environment (...
06/17/2018 ∙ by Anae Sobhani, et al. ∙ 0 ∙ share

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

Stated preference experiments have been known to suffer from the lack of...
02/17/2018 ∙ by Bilal Farooq, et al. ∙ 0 ∙ share

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

In this paper, we present machine learning approaches for characterizing...
03/07/2017 ∙ by Ismaïl Saadi, et al. ∙ 0 ∙ share

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Bilal Farooq

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