|  | Vol-2129 urn:nbn:de:0074-2129-8 Copyright © 2018 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# ATT 2018
Agents in Traffic and Transportation

### Proceedings of the Tenth International Workshop on Agents in Traffic and Transportation (ATT 2018)
co-located with with the Federated Artificial Intelligence Meeting, including ECAI/IJCAI, AAMAS and ICML 2018 conferences (FAIM 2018)

### Stockholm, Sweden, July 14, 2018.

Edited by

### Ana Lúcia C. Bazzan *
Luca Crociani **
Ivana Dusparic ***
Sascha Ossowski ****

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

## Table of Contents

### Session 1: Exploiting Mobility Data for Intelligent Transportation Systems

- Inference of Human Spatiotemporal Mobility in Greater Maputo by Mobile Phone Big Data Mining 01-08
  Mohamed Batran, Mariano Gregorio Mejia, Yoshihide Sekimoto, Ryosuke Shibasaki
- Predict Cellular Network Traffic with Markov Logic 09-14
  Marco Lippi, Marco Mamei, Franco Zambonelli

### Session 2: Agent-based Simulation for Transportation

- Evaluating a custom-made agent-based driving simulator 15-23
  Andreas Gregoriades, Maria Pampaka
- Multiple Destinations Pedestrian Model using an Improved Social Force Model 24-30
  Ryo Nishida, Masaki Onishi, Koichi Hashimoto
- Agent-based Modeling for Transportation Planning: A Method for Estimating Parking Search Time Based on Demand and Supply 31-39
  Nir Fulman, Itzhak Benenson
- Learning Obervables of a Multi-scale Simulation System of Urban Traffic 40-48
  Luca Crociani, Gregor Lämmel, Giuseppe Vizzari, Stefania Bandini

### Session 3: Autonomous Vehicles

- Privacy-Preserving Intersection Management for Autonomous Vehicles 49-56
  Nadin Kökciyan, Mustafa Erdogan, Tuna Han Salih Meral, Pinar Yolum
- Transfer Learning versus Multiagent Learning regarding Distributed Decision-Making in Highway Traffic 57-62
  Mark Schutera, Niklas Goby, Dirk Neumann, Markus Reischl
- Learning Cooperative Policy among Self-Driving Vehicles to Relieve Traffic Jams 63-69
  Shota Ishikawa, Sachiyo Arai
- Adaptive Artificial Co-pilot as Enabler for Autonomous Vehicles and Intelligent Transportation Systems 70-77
  Elvio G. Amparore, Marco Beccuti, Marco Botta, Susanna Donatelli, Fabio Tango

### Session 4: Agents for Intelligent Transportation Systems

- Impact of Detour-Aware Policies on Maximizing Profit in Ridesharing 78-85
  Arpita Biswas, Ragavendran Gopalakrishnan, Theja Tulabandhula, Asmita Metrewar, Koyel Mukherjee, Raja Subramaniam Thangaraj
- Incentivizing Rider Time-Shift in a Multi-Leg Public Transportation System 86-93
  Megan Shearer, Michael P. Wellman

2018-07-03: submitted by Luca Crociani, metadata incl. bibliographic data published under Creative Commons CC0
2018-07-05: published on CEUR-WS.org |valid HTML5|