research
∙
08/17/2023
Deep-seeded Clustering for Unsupervised Valence-Arousal Emotion Recognition from Physiological Signals
Emotions play a significant role in the cognitive processes of the human...
share
research
∙
07/25/2023
Scoring Cycling Environments Perceived Safety using Pairwise Image Comparisons
Today, many cities seek to transition to more sustainable transportation...
research
∙
02/20/2023
Attitudes and Latent Class Choice Models using Machine learning
Latent Class Choice Models (LCCM) are extensions of discrete choice mode...
research
∙
09/24/2021
Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and Performance
This study proposes a novel approach that combines theory and data-drive...
research
∙
12/20/2020
Bayesian Optimization of Area-based Road Pricing
This study presents a Bayesian Optimization framework for area- and dist...
research
∙
09/15/2020
Managing network congestion with a tradable credit scheme: a trip-based MFD approach
This study investigates the efficiency and effectiveness of an area-base...
research
∙
03/09/2020
QTIP: Quick simulation-based adaptation of Traffic model per Incident Parameters
Current data-driven traffic prediction models are usually trained with l...
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
∙
04/17/2019
Towards Robust Deep Reinforcement Learning for Traffic Signal Control: Demand Surges, Incidents and Sensor Failures
Reinforcement learning (RL) constitutes a promising solution for allevia...
research
∙
12/17/2018
Road safety of passing maneuvers: a bivariate extreme value theory approach under non-stationary conditions
Observed accidents have been the main resource for road safety analysis ...
research
∙
10/10/2018