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...
share
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...
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...
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...
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...
research
∙
11/23/2022
Robustness Analysis of Deep Learning Models for Population Synthesis
Deep generative models have become useful for synthetic data generation,...
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...
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...
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...
research
∙
02/02/2022
Decentralized Matching in Shared Intelligent Vehicles Fleet
High computational time is one of the most important operational issues ...
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...
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...
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...
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...
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...
research
∙
04/16/2021
A context-aware pedestrian trajectory prediction framework for automated vehicles
With the unprecedented shift towards automated urban environments in rec...
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...
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...
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...
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...
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...
research
∙
12/15/2020
Smart Mobility Ontology: Current Trends and Future Directions
Ontology is the explicit and formal representation of the concepts in a ...
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...
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...
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...
research
∙
09/03/2020
Multimodal Autonomous Last Mile Delivery System Design and Application
With the rapid increase in congestion, alternative solutions are needed ...
research
∙
07/18/2020
Applications of brain imaging methods in driving behaviour research
Applications of neuroimaging methods have substantially contributed to t...
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...
research
∙
07/10/2020
Prediction of Traffic Flow via Connected Vehicles
We propose a Short-term Traffic flow Prediction (STP) framework so that ...
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...
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...
research
∙
04/16/2020
Greenhouse Gas Emission Prediction on Road Network using Deep Sequence Learning
Mitigating the substantial undesirable impact of transportation systems ...
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...
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, ...
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...
research
∙
08/09/2019
Privacy-Aware Distributed Mobility Choice Modelling over Blockchain
A generalized distributed tool for mobility choice modelling is presente...
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...
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...
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...
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 ...
research
∙
04/15/2019
Multi-Objective Autonomous Braking System using Naturalistic Dataset
A deep reinforcement learning based multi-objective autonomous braking s...
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...
research
∙
02/27/2019
Semi-supervised GANs to Infer Travel Modes in GPS Trajectories
Semi-supervised Generative Adversarial Networks (GANs) are developed in ...
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...
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...
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 ...
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...
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,...
research
∙
09/16/2018
Mobility Mode Detection Using WiFi Signals
We utilize Wi-Fi communications from smartphones to predict their mobili...
research
∙
09/16/2018