| Vol-3173 urn:nbn:de:0074-3173-4 Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# ATT 2022
Agents in Traffic and Transportation

### Twelfth International Workshop on Agents in Traffic and Transportation
co-located with the the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022)

### Vienna, Austria, July 25, 2022.

Edited by

### Ana Lúcia C. Bazzan *
Ivana Dusparic **
Marin Lujak ***
Giuseppe Vizzari ****

* Institute of Informatics, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
** School of Computer Science and Statistics at Trinity College Dublin, Ireland
*** CETINIA, University Rey Juan Carlos, Spain
**** Department of Informatics, Systems and Communication, Università degli Studi di Milano-Bicocca, Milano, Italy

## Table of Contents

### Session 1: Traffic Signal Control

- Reward Function Design in Multi-Agent Reinforcement Learning for Traffic Signal Control 1-13
  Behrad Koohy, Sebastian Stein, Enrico Gerding, Ghaithaa Manla
- The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality 14-31
  Rex Chen, Fei Fang, Norman Sadeh
- Multiagent Reinforcement Learning for Traffic Signal Control: a k-Nearest Neighbors Based Approach 32-46
  Vicente Nejar de Almeida, Ana L. C. Bazzan, Monireh Abdoos

### Session 2: On-Demand Mobility and Ride-Sharing

- Multiobjective Routing in Sustainable Mobility-On-Demand 47-61
  Mengya Liu, Vahid Yazdanpanah, Sebastian Stein, Enrico Gerding
- On Balancing Fairness and Efficiency in Routing of Cooperative Vehicle Fleets 62-76
  Aitor Lopez Sanchez, Marin Lujak, Frederic Semet, Holger Billhardt
- Improving Zonal Fairness While Maintaining Efficiency in Rideshare Matching 77-90
  Ashwin Kumar, Yevgeniy Vorobeychik, William Yeoh

### Session 3: Autonomous Vehicles and UAVs

- Design of AI-Based Lane Changing Models in Connected and Autonomous Vehicles: a Survey 91-107
  Bharathkumar Hegde, Melanie Bouroche
- Autonomous Drone Interception with Reinforcement Learning 108-123
  Adrien Gauffriau, Damien Grasset, David Bertoin, Jayant Sen Gupta

### Session 4: Analysis and Modeling of Human Behavior in Traffic Systems

- Furthering an Agent-Based Modeling Approach Introducing Affective States Based on Real Data 124-136
  Marta Giltri, Stefania Bandini, Francesca Gasparini, Daniela Briola
- Machine Learning Analysis of Pedestrians’ Hazard Anticipation from Eye Tracking Data 137-159
  Andreas Gregoriades, Loukas Dimitriou, Harris Michail, Maria Pampaka, Michael Georgiades
- A Multiobjective Reinforcement Learning Approach to Trip Building 160-174
  Guilherme Santos, Ana L. C. Bazzan
- Incorporating Social Norms into a Configurable Agent-Based Model of the Decision to Perform Commuting Behaviour 175-193
  Robert Greener, Daniel Lewis, Jon Reades, Simon Miles, Steven Cummins
- A Machine Learning Pipeline for Extracting Decision-Support Features from Traffic Scenes 194-208
  Vitor Fraga, Lincoln Schreiber, Rafael Kunst, Jorge Barbosa, Gabriel Ramos

2022-07-20: submitted by Giuseppe Vizzari, metadata incl. bibliographic data published under Creative Commons CC0
2022-07-26: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|