|  | Vol-2701 urn:nbn:de:0074-2701-9 Copyright © 2020 for the individual papers by the papers' authors. Copyright © 2020 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 2020
Agents in Traffic and Transportation

### Eleventh International Workshop on Agents in Traffic and Transportation
co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020)

### Santiago de Compostela, Spain, September 4, 2020.

Edited by

### Ivana Dusparic *
Franziska Klügl **
Marin Lujak ***
Giuseppe Vizzari ****

* School of Computer Science and Statistics at Trinity College Dublin, Ireland
** School of Science and Technology, Örebro University, Örebro, Sweden
*** L'école nationale supérieure Mines-Télécom Lille Douai (IMT Lille Douai), University of Lille, France
**** Complex Systems and Artificial Intelligence research center, Università degli Studi di Milano-Bicocca, Milano, Italy

## Table of Contents

### Session 1: Optimization, Coordination

- Monte Carlo Vehicle Routing 1-8
  Tristan Cazenave, Jean-Yves Lucas, Hyoseok Kim, Thomas Triboulet
- Decentralized Insertion Heuristic with Runtime Optimization for On-demand Transport Scheduling 9-15
  Alaa Daoud, Flavien Balbo, Paolo Gianessi, Gauthier Picard
- On Multi-Agent Coordination of Agri-Robot Fleets 16-23
  Marin Lujak, Elizabeth Sklar, Frederic Semet

### Session 2: Data Acquisition, Data Handling

- To Quit or to Cruise? Modeling Parking Search Decisions Based on Serious Games 24-30
  Nir Fulman, Itzhak Benenson, Eran Ben-Elia
- Experimental Approach to Study Pedestrian Dynamics Towards Affective Agents Modeling 31-38
  Francesca Gasparini, Marta Giltri, Stefania Bandini
- Semantic Traffic Data Analysis for a Local Leader Election Algorithm (LLEA) 39-46
  Roua Elchamaa, Rima Kilany Chamoun, Baudouin Dafflon, Yacine Ouzrout

### Session 3: Traffic and Reinforcement Learning

- Demand-Responsive Zone Generation for Real-Time Vehicle Rebalancing in Ride-Sharing Fleets 47-54
  Alberto Castagna, Maxime Guériau, Giuseppe Vizzari, Ivana Dusparic
- A Reinforcement Learning Approach with Fourier Basis Linear Function Approximation for Traffic Signal Control 55-62
  Theresa Ziemke, Lucas N. Alegre, Ana L. C. Bazzan
- Emerging Micro-Communities for Ride-Sharing Enabled Mobility-on-Demand Systems 63-70
  Baudouin Dafflon, Maxime Guériau, Yacine Ouzrout, Ivana Dusparic
- Experience Sharing in a Traffic Scenario 71-78
  Ana L. C. Bazzan, Franziska Klügl

2020-10-14: submitted by Giuseppe Vizzari, metadata incl. bibliographic data published under Creative Commons CC0
2020-10-15: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|