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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...
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Smart Mobility Ontology: Current Trends and Future Directions
Ontology is the explicit and formal representation of the concepts in a ...
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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...
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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...
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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...
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Multimodal Autonomous Last Mile Delivery System Design and Application
With the rapid increase in congestion, alternative solutions are needed ...
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Applications of brain imaging methods in driving behaviour research
Applications of neuroimaging methods have substantially contributed to t...
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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...
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Prediction of Traffic Flow via Connected Vehicles
We propose a Short-term Traffic flow Prediction (STP) framework so that ...
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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...
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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...
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Greenhouse Gas Emission Prediction on Road Network using Deep Sequence Learning
Mitigating the substantial undesirable impact of transportation systems ...
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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...
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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, ...
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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...
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Privacy-Aware Distributed Mobility Choice Modelling over Blockchain
A generalized distributed tool for mobility choice modelling is presente...
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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...
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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...
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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...
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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 ...
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Multi-Objective Autonomous Braking System using Naturalistic Dataset
A deep reinforcement learning based multi-objective autonomous braking s...
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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...
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Semi-supervised GANs to Infer Travel Modes in GPS Trajectories
Semi-supervised Generative Adversarial Networks (GANs) are developed in ...
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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...
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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...
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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 ...
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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...
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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,...
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Mobility Mode Detection Using WiFi Signals
We utilize Wi-Fi communications from smartphones to predict their mobili...
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A blockchain framework for smart mobility
A blockchain framework is presented for addressing the privacy and secur...
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Modelling Latent Travel Behaviour Characteristics with Generative Machine Learning
In this paper, we implement an information-theoretic approach to travel ...
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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 (...
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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...
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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...
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