MT-ITS

Publications

2023

Angelos Toytziaridis, Paolo Falcone, Jonas Sjöberg
Longitudinal Position Prediction of Vehicles at Intersections with a Weighted Average Model. MT-ITS (2023)
Maarten Wens, Mohammad Ali Arman, Ismail M. Abuamer, Chris M. J. Tampère, Pieter Vansteenwegen
Differences in Optimised Trajectories Under Selfish and collaborative Behaviour of multi-class Freeway Traffic. MT-ITS (2023)
Hugues Blache, Pierre-Antoine Laharotte, Nour-Eddin El Faouzi
How to Rationalise the Sampling of Test-Scenarios in Automated Driving Based on Criticality Metrics? MT-ITS (2023)
Mohammad Javad Hassan Zada, Iuliia Yamnenko, Constantinos Antoniou
Network-wide Traffic State Forecast Using Discrete Wavelet Transform and Deep Learning. MT-ITS (2023)
Alexandra Würth, Mickaël Binois, Paola Goatin
Validation of Calibration Strategies for Macroscopic Traffic Flow Models on Synthetic Data. MT-ITS (2023)
Ismet Göksad Erdagi, Nemanja Dobrota, Slavica Gavric, Aleksandar Stevanovic
Cycle-by-cycle Delay Estimation at Signalized Intersections by using Machine Learning and Simulated Video Detection Data. MT-ITS (2023)
Daniel Inzunza, Paola Goatin
A PINN approach for traffic state estimation and model calibration based on loop detector flow data. MT-ITS (2023)
Junaid Ahmed Khan, Weiyi Wang, Kaan Ozbay
Carefull Tread: A Lightweight Consensus in Blockchain to Trust Mobility Data using Q-Learning. MT-ITS (2023)
Christos Konstantinou, Panagiotis Fafoutellis, Eleni G. Mantouka, Charis Chalkiadakis, Petros Fortsakis, Eleni I. Vlahogianni
Effects of Driving Behavior on Fuel Consumption with Explainable Gradient Boosting Decision Trees. MT-ITS (2023)
Eléonore Fauchet, Pierre-Antoine Laharotte, Kinjal Bhattacharyya, Nour-Eddin El Faouzi
Does the Spatial Distribution of Connected Vehicles Affect Traffic Control Efficiency? MT-ITS (2023)
Willy Kriswardhana, Domokos Esztergár-Kiss
Cluster Analysis of User Preferences related to MaaS Aspects. MT-ITS (2023)
Elise Amiel, Markos P. Anastasopoulos, Guillaume Chevaleyre, Alice Consilvio
On applying artificial intelligence techniques to maximise passengers comfort and infrastructure reliability in urban railway systems. MT-ITS (2023)
Hameed Jehanfo, Ioannis Kaparias, John Preston
Analyzing the Impact of Traffic Volumes on Key Performance Metrics for Connected Autonomous Truck-Enabled Highways. MT-ITS (2023)
Seyed Hassan Hosseini, Guido Gentile, Ken Koshy Varghese, Lory Michelle Bresciani Miristice
Inferring Station Numbers in Metro Trips Using Mobile Magnetometer Sensor via an Unsupervised K-means Clustering Algorithm. MT-ITS (2023)
Mahnaz Babapourdijojin, Guido Gentile
Assessing the Benefits and External Costs of Road Transport in Italy. MT-ITS (2023)
Ze Zhou, Claudio Roncoli
A fairness-aware joint pricing and matching framework for dynamic ridesharing. MT-ITS (2023)
Charis Chalkiadakis, Maria Kanavou, Eleni I. Vlahogianni
Investigating the Importance of Connected Cooperative and Automated Mobility Towards Mitigating the Impacts of Extreme Weather Events. MT-ITS (2023)
Balraj David, Bianca Pascariu, Paola Pellegrini, Grégory Marlière
Analysis of the robustness of railway traffic management to driving behaviour noise. MT-ITS (2023)
Federico Gallo, Thomas Spanninger, Francesco Corman
Weather Effects on the Public Transport Ridership of the City of Zurich at a Stop-to-stop Level. MT-ITS (2023)
Olena Vol, Shaghayegh Vosough, Claudio Roncoli
Drivers' compliance with social route recommendations: Stated intentions vs actual behaviour. MT-ITS (2023)
Yanyan Xu, Panchamy Krishnakumari, Neil Yorke-Smith, Serge P. Hoogendoorn
Augmenting Ridership Data with Social Media Data to Analyse the Long-term Effect of COVID-19 on Public Transport. MT-ITS (2023)
Mirfarnam Tabandeh, Constantinos Antoniou, Guido Cantelmo
Long-term & short-term bike sharing demand predictions using contextual data. MT-ITS (2023)
Nirvana Pecorari, Marco Rinaldi, Serge P. Hoogendoorn
Dynamic Geo-Fencing for Polycentric Congestion Management: A Simulation-Based Analysis. MT-ITS (2023)
Nicola Ippolito, Lory Michelle Bresciani Mistrice, Guido Gentile
Last-Mile-Logistic Platform for Companies within Urban Areas. MT-ITS (2023)
Sina Moradi, Ali Nadar, Jérôme Härri
Comfort-Based AI-Driven Roundabout Control for Automated Vehicles. MT-ITS (2023)
Hsuan-Ting Wu, Martin Margreiter
Pedestrian Flow Simulation and Capacity Analysis of Stations for Ultra-High-Speed Ground Transportation (Hyperloop). MT-ITS (2023)
Marisdea Castiglione, Marialisa Nigro, Nicola Sacco
Multi-source Data-driven Procedure for Traffic Analysis Zones Definition. MT-ITS (2023)
Ouassim Manout, Azise Oumar Diallo
Better be private, shared, or pooled? Implications of three autonomous mobility scenarios in Lyon, France. MT-ITS (2023)
Bouchra Sahbani, Mohamed Amin Benatia, Gael Pallares, Anne Louis
Effect of network modifications on a french metropolis transportation system by agent-based transport simulations. MT-ITS (2023)
Jianghan Hu, Song Lian, Simon Hu, Cristoforo Demartino, Gaoang Wang, Xin Liu, Yongfu Li, Claudio Roncoli, Der-Horng Lee
A CNN-based generative model for vehicle trajectory reconstruction in mixed traffic flow. MT-ITS (2023)
Seyhan Ucar, Takamasa Higuchi, Onur Altintas
Driver Support In Confusion Zones. MT-ITS (2023)
Francesco Percassi, Saumya Bhatnagar, Rongge Guo, Keith McCabe, Thomas Leo McCluskey, Mauro Vallati
An Efficient Heuristic for AI-based Urban Traffic Control. MT-ITS (2023)
Panagiotis Fafoutellis, Emmanouil Ph. Kampitakis, Eleni I. Vlahogianni
A Deep Learning Framework For Modeling Pedestrian - Vehicle Interactions In Shared Space. MT-ITS (2023)
Tarek Chouaki, Sebastian Hörl, Jakob Puchinger
Control-based integration of rejection rates into endogenous demand ride-pooling simulations. MT-ITS (2023)
Mingfeng Shang, Raphael E. Stern
Impacts of mixed autonomy traffic flow with adaptive cruise control vehicles on fuel consumption and emissions. MT-ITS (2023)
Piyush Kumar Pandey, Hardik Arora, B. Anil Kumar
Development of Driving Cycles for Electric Buses in Patna, India. MT-ITS (2023)
Tenglong Li, Dong Ngoduy, Seunghyeon Lee, Ziyuan Pu
Capturing the equilibrium traffic state hypothesis of car-following models with artificial neural network. MT-ITS (2023)
Daria Matiunina, Natalie Sautter, Allister Loder, Klaus Bogenberger
Predicting Parking Occupancy with Deep Learning on Noisy Empirical Data. MT-ITS (2023)
Serio Agriesti, Petr Anashin, Claudio Roncoli, Bat-hen Nahmias-Biran
Integrating activity-based and traffic assignment models: Methodology and case study application. MT-ITS (2023)
Shesha Sreenivasamurthy, Katia Obraczka
Multi-Vehicle Merge in Adaptive Decentralized Emergent Behavior PlaTooning. MT-ITS (2023)
Sakitha Kumarage, Mehmet Yildirimoglu, Zuduo Zheng
Demand estimation for perimeter control in large-scale traffic networks. MT-ITS (2023)
Ilias Alexandros Parmaksizoglou, Alessandro Bombelli, Alexei Sharpanskykh
Design of a Demand Responsive Transport service using Distributed Constraint Optimization for airport access. MT-ITS (2023)
Livia Mannini, Marialisa Nigro, Marcella Samà
Applying UAVs for indoor emergency risk evaluation. MT-ITS (2023)
Bladimir Toaza, Domokos Esztergár-Kiss
A Preliminary Evaluation of Activity Scheduling Optimization Using Real Data from a Household Travel Survey. MT-ITS (2023)
Sarah Almeida Carneiro, Giovanni Chierchia, Jean Charléty, Aurélie Chataignon, Laurent Najman
SWMLP: Shared Weight Multilayer Perceptron for Car Trajectory Speed Prediction using Road Topographical Features. MT-ITS (2023)
Milad Malekzadeh, Yanumula Venkata Karteek, Ioannis Papamichail, Markos Papageorgiou
. MT-ITS (2023)
Arkadiusz Drabicki, Szymon Sciga, Konrad Chwastek
Public transport effectiveness evaluation with capacity-constrained macroscopic assignment. MT-ITS (2023)
Yunfei Zhang, Felix Rempe, Florian Dandl, Gabriel Tilg, Matthias Kraus, Klaus Bogenberger
Network Fundamental Diagram based Dynamic Routing in a Clustered Network. MT-ITS (2023)
Natalie Sautter, Lisa Kessler, Danil Belikhov, Klaus Bogenberger
A Multimodal Performance Index for the Evaluation of Urban Traffic Control Measures. MT-ITS (2023)
Konstantinos Katzilieris, Emmanouil Kampitakis, Eleni I. Vlahogianni
Dynamic Lane Reversal: A reinforcement learning approach. MT-ITS (2023)