Vol-2128⫷ Vol-2129 ⫸Vol-2130
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 |