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Please distribute widely to potentially interested people.


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CALL FOR PAPERS
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Artificial Intelligence in Transportation Systems (AITS)
https://epia2019.utad.pt/index.php/83-thematic-tracks/101-aits

Thematic Track of the 19th Conference on Artificial Intelligence (EPIA 2019)
September 3-6, 2019. Vila Real, Portugal
https://epia2019.utad.pt/

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Submission deadline: April 15, 2019
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The 7th AITS Track at EPIA Conferences aims to promote a debate on current
developments and advancements of AI techniques in a rather practical
perspective. It will gather both the AI community and transportation
practitioners to discuss how cutting-edge AI technologies can be
effectively applied to improve the performance of transportation systems
and mobility in general on a sustainable basis, according to three
important dimensions, namely economic, environmental, and social. This
forum also aims to generate new ideas towards building innovative
applications of AI technologies into smarter, greener and safer
transportation systems, stimulating contributions that emphasise on how
theory and practice are effectively coupled to solve real-life problems in
contemporary transportation, naturally including all sorts of mobility
systems. Indeed, today’s transportation systems are being devised on a more
intelligent basis, and the concept of Intelligent Transportation Systems
(ITS) has become already a reality among us. More recently, ITS have
evolved into the basis giving support to the development of the so-called
Smart Mobility solutions, within the framework of Smart Cities, in which
social issues increase the complexity of transportation systems and bring
about new performance measures such as equity, security, while
sustainability is strongly emphasised. This thematic track on AI in
Transportation Systems is also organised and promoted by the technical
activity subcommittee on Artificial Transportation Systems and Simulation,
a TAC of the IEEE ITS Society.

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Topics of Interest
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The AITS Thematic Track welcomes and encourages contributions reporting on
original research, work under development and experiments of different AI
techniques, such as, supervised/unsupervised learning approaches (e.g.
neural networks for classification problems), 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 optimization 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 transports);
• intelligent and real-time traffic management and control;
• design, operation, time-tabling and management of logistics systems and
freight transport;
• transport policy, planning, design and management;
• environmental issues, road pricing, security and safety;
• transport systems operation;
• application and management of new technologies in transport;
• travel demand analysis, prediction and transport marketing;
• advanced traveller information systems and services;
• ubiquitous transport technologies and ambient intelligence;
• pedestrian and crowd simulation and analysis;
• urban planning toward 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;
• serious games and gamification in transportation;
• behaviour modelling, artificial societies, and social simulation of
transportation systems;
• electric mobility and its relationship with smart grids and the
electricity market;
• computer vision in autonomous driving;
• surveillance and monitoring systems for transportation and pedestrians;
• data-driven preventive maintenance policies;
• anomalous trajectory mining and fraud detection;
• smart architectures for vehicle-to-vehicle/vehicle-to-infrastructure
communications;
• automatic assessment and/or evaluation on the transport reliability
(planning, control and other related policies);

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Paper Submission Instructions
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Submissions must follow the guidelines specified on the EPIA 2019
Conference Website (https://epia2019.utad.pt/index.php/call-for-papers).

All accepted papers will be published by Springer in a volume of Springer’s
Lecture Notes in Artificial Intelligence (LNAI) corresponding to the
proceedings of the 19th EPIA Conference on Artificial Intelligence, EPIA
2019.

Submissions must be original and not published elsewhere. Papers should not
exceed twelve (12) pages in length and must adhere to the formatting
instructions of the conference. Each submission will be peer reviewed by at
least three members of the Program Committee. The reviewing process is
double blind, so authors should remove names and affiliations from the
submitted papers and must take reasonable care to assure anonymity during
the review process. References to own work may be included in the paper, as
long as referred to in the third person. Acceptance will be based on the
paper’s significance, technical quality, clarity, relevance and
originality. All accepted papers must be presented orally the conference by
one of the authors and at least one author of each accepted paper must
register for the conference.

All papers should be submitted in PDF format through the EPIA 2019
EasyChair submission page
(https://easychair.org/my/conference.cgi?conf=epia2019).

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Important Dates
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• Paper submission deadline: April 15, 2019
• Notification of paper acceptance: May 31, 2019
• Camera-ready papers deadline: June 15, 2019
• Conference dates: September 3-6, 2019

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Organizing Committee
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• Rosaldo Rossetti, University of Porto, Portugal ([log in to unmask])
• Alberto Fernandez, Universidad Rey Juan Carlos, Spain (
[log in to unmask])

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