International Workshop on Intelligent Transportation Systems and Smart Mobility Technology (WITS)
About the workshop
The digital transformation of traffic monitoring systems has led to increased interest from the academic community, governments and the general public on the concept of smart mobility, consisting of the optimized use of transport networks through the automated analysis of traffic data and, especially, the implementation of intelligent transportation systems (ITS). This type of technology focuses on optimizing how people travel, decreasing traffic congestion, improving road safety, and enhancing governmental decision-making during the construction or expansion of infrastructure.
The International Workshop on Intelligent Transportation Systems and Smart Mobility Technology (WITS), part of the International Conference on Applied Informatics (ICAI), is an annual event organized by Universidad Antonio Nariño in Bogotá, Colombia, and intended to be an important forum for the discussion and dissemination of contemporary research on the study and design of software providing integrated information in order to allow drivers, commuters and pedestrians to make a safer and more coordinated use of urban transport networks.
Participants in the workshop will find a space for the exchange of innovative ideas and practical experiences on the use of this type of technology as well as for the establishment of collaborative networks. The workshop welcomes submissions on both practical and theoretical proposals on ITSs and related technological solutions.
Motivation
Academic, private, and public sectors are focusing their efforts on reaching the sustainable development goals SDGs, eleven of which are focused on the improvement of mobility. Intelligent mobility is a means to achieve these goals in order to offer sustainable and efficient mobility as well as road safety to the wider public. In spite of academic interest on ITSs and their positive impact on the betterment of transport efficiency and thus quality of life around the world, there are relatively few workshops devoted to the discussion of this type of technology and related implementations and none on an annual basis. WITS is proposed to address this void and is envisaged to provide a specialized meeting for the transfer of scientific and technical knowledge, experiences, research findings, feedback, and to boost strategic cooperation between participants.
Objectives
To present specialized lectures on technological solutions for intelligent mobility from institutions and research groups from various productive sectors.
To explore the contemporary opportunities and challenges posed by ITSs as well as insights into exciting advancements in this type of technology.
To exhibit the real-world implementation of ITSs and explore how they have improved the quality of life around the world.
To showcase the exciting opportunities ITS has been creating in the fields of data science, network science, machine learning and data mining.
To display how ITS technology has been impacting the people working in related fields.
Promote strategic collaborations and networks to join efforts focusing on technical and scientific projects in smart mobility and build connections between researchers for future collaborations.
Topics of interest
WITS welcomes original submissions related to, but not limited to, the topics listed below.
Intelligent transportation systems
Machine learning, data mining, and data science applied to traffic and accident prediction
Traffic information systems
Traffic simulation and modeling
Vehicle safety
Transport management
IoT for mobility
Information and communication technologies applied to mobility
Education based technologies applied to mobility
Emerging technologies for smart mobility
Intended audience
This workshop is aimed at researchers from all areas of knowledge who are interested in the design and implementation of intelligent transport systems and is likely to be of most interest to those working in computer science, network science, data science, big data, machine learning, data mining and related disciplines.
Submission guidelines
Authors must submit an original full paper (12 to 15 pages) that has not previously been published. All contributions must be written in English. Authors must follow CEUR styles either for LaTeX or for MSWord (http://ceur-ws.org/Vol-XXX/CEURART.zip), for the preparation of their papers. We encourage authors to include their ORCIDs in their papers. In addition, the corresponding author of each accepted paper, acting on behalf of all of the authors of that paper, must complete and sign by hand an Author Agreement form.
Submissions are accepted through this form.
Proceedings
Proceedings will be submitted to CEUR Workshop Proceedings for online publication.
Registration
For registration, please go to the registration page of the International Conference on Applied Informatics of which WITS is part.