ATT 2024
Agents in Traffic and Transportation

Table of Contents

Session 1: Reinforcement Learning and traffic management

• A Distributed Approach to Autonomous Intersection Management via Multi-Agent Reinforcement Learning 1-15
  Matteo Cederle, Marco Fabris, Gian Antonio Susto
• Growing Neural Gas in Multi-Agent Reinforcement Learning Adaptive Traffic Signal Control 16-30
  Mladen Miletić, Ivana Dusparic, Edouard Ivanjko
• Learning From Your Virtual Neighbors: a Reinforcement Learning Approach to Traffic Signal Control 31-43
  Ana L. C. Bazzan, Henrique Gobbi
• Deep Convolutional Q-Learning for Traffic Lights Optimization in Smart Cities 44-53
  Davide Tosi, Riccardo Cappi, Sebastiano Monti
• CAV Unsignalised Intersection Crossing with Unreliable Emergent Communication 54-68
  Anastasios Kontogiorgis, Mélanie Bouroche
• Multi-Agent Deep Reinforcement Learning for Longitudinal Control of CAVs in Mixed Traffic Environments with Unreliable Communication 69-82
  Shuncheng Cai, Mélanie Bouroche
• Safe CAV Lane Changes Using MARL and Control Barrier Functions 83-95
  Bharathkumar Hegde, Mélanie Bouroche

Session 2: Explainable AI and Symbolic approaches for innovative traffic and transportation

• Application of Multi-Instance Counterfactual Explanation in Road Safety Analysis 96-107
  Andre Artelt, Andreas Gregoriades
• Routing on Sparse Graphs with Non-metric Costs for the Prize-collecting Travelling Salesperson Problem 108-121
  Patrick O'Hara, Ramanujan M. Sridharan, Theo Damoulas
• Assessing a UAS for Maritime Firefighting and Rescue on Ro-Ro Ships 122-135
  Marvin Damschen, Rickard Häll, Anders Thorsén, Ashfaq Farooqui

Session 3: Pedestrians, Crowds, and Visual Analysis of Traffic and Transportation Systems

• Curriculum-Based RL for Pedestrian Simulation: Sensitivity Analysis and Hyperparameter Exploration 136-149
  Giuseppe Vizzari, Daniela Briola, Federico Pisapia
• Designing a Serious Game of Crisis Management on Top of an Agent-Based Simulation of Population Evacuation 150-161
  Mathieu Bourgais, Arnaud Saval, Pierrick Tranouez, Olivier Gillet, Eric Daudé
• Introducing Multiagent Systems for AV Visual Introducing Multiagent Systems for AV Visual Perception Sub-tasks: A proof-of-concept implementation for bounding-box improvement 162-176
  Alaa Daoud, Corentin Bunel, Maxime Guériau