35 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Laboratoire d'Ingénierie Circulation TransportsFR6 papers
- Université Gustave EiffelFR6 papers
- Lyon 1 UniversitéFR2 papers
- Centre de Recherche en InformatiqueFR1 paper
- Centre de Recherche en Informatique, Signal et Automatique de LilleFR1 paper
- Centre d'Etudes Superieures IndustriellesFR1 paper
- École Polytechnique Fédérale de LausanneCH1 paper
- Guangdong University of TechnologyCN1 paper
- IMT Nord EuropeFR1 paper
- Informatique, BioInformatique, Systèmes ComplexesFR1 paper
- McGill UniversityCA1 paper
- National University of SingaporeSG1 paper
8 papers
Capacity drop accounting for microscopic vehicle interaction effects: analytical model and validation with high-resolution trajectories
Yu Han, Pan Liu, Zhiyuan Liu +1
Capacity drop is a traffic phenomenon in which the discharge flow from a queue is lower than the theoretical infrastructure capacity. This paper proposes a generic analytical metho…
A Modeling and Optimization Framework for Fostering Modal Shift through the Integration of Tradable Credits and Demand-Responsive Autonomous Shuttles
Zenghao Hou, Ludovic Leclercq
Tradable Credit Schemes (TCS) promote the use of public and shared transport by capping private car usage while maintaining fair welfare outcomes by allowing credit trading. Howeve…
Accurate online action and gesture recognition system using detectors and Deep SPD Siamese Networks
Mohamed Sanim Akremi, Rim Slama, Hedi Tabia
Online continuous motion recognition is a hot topic of research since it is more practical in real life application cases. Recently, Skeleton-based approaches have become increasin…
Online hand gesture recognition using Continual Graph Transformers
Rim Slama, Wael Rabah, Hazem Wannous
Online continuous action recognition has emerged as a critical research area due to its practical implications in real-world applications, such as human-computer interaction, healt…
Contextual Data Integration for Bike-sharing Demand Prediction with Graph Neural Networks in Degraded Weather Conditions
Romain Rochas, Angelo Furno, Nour-Eddin El Faouzi
Demand for bike sharing is impacted by various factors, such as weather conditions, events, and the availability of other transportation modes. This impact remains elusive due to t…
Scaling Methods To Estimate Macroscopic Fundamental Diagrams in Urban Networks with Sparse Sensor Coverage
Nandan Maiti, Manon Seppecher, Ludovic Leclercq
Accurately estimating traffic variables across unequipped portions of a network remains a significant challenge due to the limited coverage of sensor-equipped links, such as loop d…
A Gentle Introduction and Tutorial on Deep Generative Models in Transportation Research
Seongjin Choi, Zhixiong Jin, Seung Woo Ham +2
Deep Generative Models (DGMs) have rapidly advanced in recent years, becoming essential tools in various fields due to their ability to learn complex data distributions and generat…
Modal equilibrium of a tradable credit scheme with a trip-based MFD and logit-based decision-making
Louis Balzer, Ludovic Leclercq
The literature about tradable credit schemes (TCS) as a demand management system alleviating congestion flourished in the past decade. Most proposed formulations are based on stati…