Installing order in transportation: some intelligence about artificial intelligence in the making

Check out the following call for papers to see what our colleagues in artificial intelligence are currently up to with respect to installing order in transportation:


                               AITS @ EPIA2013

                            A Thematic Track of
     The 16th Portuguese Conference on Artificial Intelligence, EPIA2013
                 Azores, Portugal, September 9–13, 2013


The Thematic Track on Artificial Intelligence in Transportation
Systems (AITS) within EPIA Conferences aims to promote an
interdisciplinary debate on current developments and advances of AI
techniques in a rather practical perspective, focusing on
transportation and mobility systems. This Thematic Track follows up
the first edition of the AIASTS Thematic Track, held at EPIA'2007, the
second edition of the AITUM Thematic Track, held at EPIA'2009, and the
third edition of the AITS Thematic Track, held at EPIA'2011. This
event will act as a unique platform gathering the AI community,
transportation engineers and practitioners, as well as social
scientists to discuss how cutting-edge AI technologies can be
effectively developed and applied to improve transportation
performance towards sustainable mobility settings. This forum is thus
an opportunity for the technical and scientific community to present
progresses made so far, and as a means to generate new ideas towards
building innovative applications of AI technologies into more
efficient transportation systems.

As from this 4th Edition of the AITS Thematic Track, the event will be
promoted by the Artificial Transportation Systems and Simulation
(ATSS) Technical Activity Sub-committee of IEEE Intelligent
Transportations Systems Society. The EPIA Conference Series has been
ranked by the Computing Research & Education initiative as a “CORE B”
Conference, whose proceedings are published by Springer in their LNAI
Series and traditionally indexed by Thomson Reuters’ ISI Web of

As in many multidisciplinary knowledge fields, much advance in AI is
fostered through challenges imposed by issues that scientists address
when applying theory to solve practical problems. Thus, the AITS
Thematic Track serves as a working platform to discuss current
developments and advances of AI techniques in a rather practical
perspective. It will stimulate a debate emphasising on how theory and
practice are effectively coupled to tackle problems in the specific
domain of transportation.

Besides its economical, social, and environmental importance,
transportation is a very challenging domain, especially due to its
inherent complexity. It is formed up by geographically and
functionally distributed heterogeneous elements, both artificial and
human, with different decision-making abilities, collective or
individual goals, making its dynamics rather uncertain. Also, mobility
plays a major role towards citizen’s quality of life. With resources
even scarcer and the imposition of uncountable constraints to
mobility, contemporary transportation has experienced a great
revolution and has become highly evolving. This means that a rational
use of transportation infrastructures and the way they interact with
the environment must be managed on a sustainable basis.

Within the last two decades, this scenario has witnessed the advent of
the concept of Intelligent Transportation Systems (ITS). Rather than
increasing service capacity, one underlying approach of ITS-based
solutions is to ensure productivity and mobility by making better use
of existing transportation infrastructure, featuring them with
smarter, greener, safer, and more efficient technologies. Indeed, much
advance verified in this field is due to AI that is a key ingredient
to ITS. The relationship between these two areas is certainly mutually
beneficial, suggesting a wide range of cross-fertilisation
opportunities and potential synergisms between the AI community that
devises theory and transport practitioners that use it. Therefore,
contemporary transportation systems are a natural ground to conceive,
develop, test and apply AI techniques.

The AITS Thematic Track welcomes and encourages contributions
reporting on original research, work under development and experiments
of different AI techniques, such as neural networks, biologically
inspired approaches, evolutionary algorithms, knowledge-based and
expert systems, case-based reasoning, fuzzy logics, intelligent agents
and multi-agent systems, support vector regression, data mining and
other pattern-recognition and optimisation techniques, as well as
concepts such as ambient intelligence and ubiquitous computing,
service-oriented architectures, and ontology, to address specific
issues in contemporary transportation, which would include (but are
not limited to):

• different modes of transport and their interactions (air, road, rail
and water transport);
• intelligent and real-time traffic management and control;
• design, operations, time-tabling and management of logistic systems
and freight transport;
• transport policy, planning, design and management;
• environmental issues, road pricing, security and safety;
• transport system operations;
• application and management of new technologies in transport;
• travel demand analysis, prediction and transport marketing;
• traveller information systems and services;
• ubiquitous transport technologies and ambient intelligence;
• pedestrian and crowd modelling, simulation and analysis;
• urban planning towards sustainable mobility;
• service oriented architectures for vehicle-to-vehicle and
vehicle-to-infrastructure communications;
• assessment and evaluation of intelligent transportation technologies;
• human factors in intelligent vehicles;
• autonomous driving;
• artificial transportation systems and simulation;
• surveillance and monitoring systems for transportation and pedestrians.

Contributions must be original and not published elsewhere. Papers
should strictly adhere to formatting instructions
( of the conference, and can
be of two types: regular (full-length) papers should not exceed twelve
(12) pages in length, whereas short papers should not exceed six (6)
pages. Each submission will be reviewed by at least three members of
the International Programme Committee of the AITS Thematic Track. This
process will follow a blind-review approach, so we kindly ask authors
to take reasonable care not to indirectly disclose their identity,
removing their names from the manuscript and any reference that might
explicitly identify them.

The best papers will be included in a volume of the Lecture Notes in
Artificial Intelligence (LNAI) Series, to be published by Springer
(proceedings indexed by the Thomson ISI Web of Knowledge). All other
accepted papers will be published in the local proceedings.
Publication of accepted papers is subject to at least one co-author
registering for the conference and presenting the paper during the
AITS session at the Conference.

Further and up-to-date information can be found on the official Web
site of the EPIA Conference at

• Deadline for paper submission: March 15, 2013
• Notification of paper acceptance: April 30, 2013
• Camera-ready papers due: May 31, 2013
• Conference dates: September 9-13, 2013

Rosaldo Rossetti
   LIACC, DEI/FEUP - University of Porto, Portugal (

Matteo Vasirani
   École Polytechnique Fédérale de Lausanne, Switzerland

Cristina Olaverri Monreal
   Technische Universität München, Germany (

• Adriana Giret, U.P. Valencia, Spain
• Agachai Sumalee, The Hong Kong Polytechnic University, Hong Kong
• Alberto Fernandez, Rey Juan Carlos University, Spain
• Ana Almeida, Polytechnic Institute of Porto, Portugal
• Ana Bazzan, UFRGS, Brazil
• António Castro, University of Porto, Portugal
• Carlos Lisboa Bento, University of Coimbra, Portugal
• Constantinos Antoniou, National Technical University of Athens, Greece
• Danny Weyns, Katholieke Universiteit Leuven, Belgium
• Eduardo Camponogara, UFSC, Brazil
• Elisabete Arsénio, LNEC, Portugal
• Fausto Vieira, Instituto de Telecomunicações/FCUP, Portugal
• Federico Barber, U.P. Valencia, Spain
• Fei-Yue Wang, University of Arizona, USA
• Francisco Pereira, SMART/MIT, Singapore
• Geert Wets, University of Hasselt, Belgium
• Giuseppe Vizzari, University of Milan-Bicocca, Italy
• Harry Timmermans, Eindhoven University of Technology, The Netherlands
• Hilmi Berk Celikoglu, Technical University of Istanbul, Turkey
• Hussein Dia, AECOM, Australia
• Javier Sanchez Medina, Universidad de Las Palmas de Gran Canaria, Spain
• Jeffrey Miller, University of Anchorage, USA
• Jorge Lopes, BRISA S.A., Portugal
• José Manuel Menendez, Universidad Politécnica de Madrid, Spain
• José Telhada, University of Minho, Portugal
• Jürgen Sauer, University of Oldenburg, Germany
• Luís Nunes, ISCTE, Portugal
• Luís Paulo Reis, University of Minho, Portugal
• Maite López Sánchez, University of Barcelona, Spain
• Michael Rovatsos, University of Edinburgh, UK
• Miguel A. Salido, U.P. Valencia, Spain
• Paulo Leitão, Instituto Politécnico de Bragança, Portugal
• Ronghui Liu, ITS/University of Leeds, UK
• Sascha Ossowski, Rey Juan Carlos University, Spain
• Shuming Tang, Chinese Academy of Sciences, China
• Thomas Strang, DLR, Germany