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|