Computational transportation science

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Computational Transportation Science (CTS) is an emerging discipline that combines computer science and engineering with the modeling, planning, and economic aspects of transport. The discipline studies how to improve the safety, mobility, and sustainability of the transport system by taking advantage of information technologies and ubiquitous computing. A list of subjects encompassed by CTS can be found at include. [1]

Computer science study of the theoretical foundations of information and computation

Computer science is the study of processes that interact with data and that can be represented as data in the form of programs. It enables the use of algorithms to manipulate, store, and communicate digital information. A computer scientist studies the theory of computation and the practice of designing software systems.

Transport human-directed movement of things or people between locations

Transport or transportation is the movement of humans, animals and goods from one location to another. In other words the action of transport is defined as a particular movement of an organism or thing from a point A to the Point B. Modes of transport include air, land, water, cable, pipeline and space. The field can be divided into infrastructure, vehicles and operations. Transport is important because it enables trade between people, which is essential for the development of civilizations.

Ubiquitous computing is a concept in software engineering and computer science where computing is made to appear anytime and everywhere. In contrast to desktop computing, ubiquitous computing can occur using any device, in any location, and in any format. A user interacts with the computer, which can exist in many different forms, including laptop computers, tablets and terminals in everyday objects such as a refrigerator or a pair of glasses. The underlying technologies to support ubiquitous computing include Internet, advanced middleware, operating system, mobile code, sensors, microprocessors, new I/O and user interfaces, networks, mobile protocols, location and positioning, and new materials.

Computational Transportation Science is an emerging discipline going beyond vehicular technology, addressing pedestrian systems on hand-held devices but also issues such as transport data mining (or movement analysis), as well as data management aspects. CTS allows for an increasing flexibility of the system as local and autonomous negotiations between transport peers, partners and supporting infrastructure are allowed. Thus, CTS provides means to study localized computing, self-organization, cooperation and simulation of transport systems.

Data mining computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems; interdisciplinary subfield of computer science

Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information from a data set and transform the information into a comprehensible structure for further use. Data mining is the analysis step of the "knowledge discovery in databases" process, or KDD. Aside from the raw analysis step, it also involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating. The difference between data analysis and data mining is that data analysis is to summarize the history such as analyzing the effectiveness of a marketing campaign, in contrast, data mining focuses on using specific machine learning and statistical models to predict the future and discover the patterns among data.

Several academic conferences on CTS have been held up to date:

There is also an IGERT PHD program on Computational Transportation Science at the University of Illinois at Chicago. [6]

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The Association for Computing Machinery (ACM) is an international learned society for computing. It was founded in 1947, and is the world's largest scientific and educational computing society. The ACM is a non-profit professional membership group, with nearly 100,000 members as of 2019. Its headquarters are in New York City.

Computing activity requiring, benefiting from, or creating computers

Computing is any activity that uses computers. It includes developing hardware and software, and using computers to manage and process information, communicate and entertain. Computing is a critically important, integral component of modern industrial technology. Major computing disciplines include computer engineering, software engineering, computer science, information systems, and information technology.

Computational biology involves the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological, ecological, behavioral, and social systems. The field is broadly defined and includes foundations in biology, applied mathematics, statistics, biochemistry, chemistry, biophysics, molecular biology, genetics, genomics, computer science and evolution.

Computational archaeology describes computer-based analytical methods for the study of long-term human behaviour and behavioural evolution. As with other sub-disciplines that have prefixed 'computational' to their name, the term is reserved for methods that could not realistically be performed without the aid of a computer.

Information systems (IS) are formal, sociotechnical, organizational systems designed to collect, process, store, and distribute information. In a sociotechnical perspective, information systems are composed by four components: task, people, structure, and technology.

Theoretical computer science subfield of computer science and of mathematics

Theoretical computer science (TCS) is a subset of general computer science and mathematics that focuses on more mathematical topics of computing and includes the theory of computation.

A computer scientist is a person who has acquired the knowledge of computer science, the study of the theoretical foundations of information and computation and their application.

Dagstuhl computer science conference and research center in Germany

Dagstuhl is a computer science research center in Germany, located in and named after a district of the town of Wadern, Merzig-Wadern, Saarland.

Software visualization or software visualisation refers to the visualization of information of and related to software systems—either the architecture of its source code or metrics of their runtime behavior- and their development process by means of static, interactive or animated 2-D or 3-D visual representations of their structure, execution, behavior, and evolution.

Web science

Web science is an emerging interdisciplinary field concerned with the study of large-scale socio-technical systems, particularly the World Wide Web. It considers the relationship between people and technology, the ways that society and technology co-constitute one another and the impact of this co-constitution on broader society. Web Science combines research from disciplines as diverse as sociology, computer science, economics, and mathematics.

Computational engineering

Not to be confused with computer engineering.

Informatics is a branch of information engineering. It involves the practice of information processing and the engineering of information systems, and as an academic field it is an applied form of information science. The field considers the interaction between humans and information alongside the construction of interfaces, organisations, technologies and systems. As such, the field of informatics has great breadth and encompasses many subspecialties, including disciplines of computer science, information systems, information technology and statistics. Since the advent of computers, individuals and organizations increasingly process information digitally. This has led to the study of informatics with computational, mathematical, biological, cognitive and social aspects, including study of the social impact of information technologies.

Computational Journalism can be defined as the application of computation to the activities of journalism such as information gathering, organization, sensemaking, communication and dissemination of news information, while upholding values of journalism such as accuracy and verifiability. The field draws on technical aspects of computer science including artificial intelligence, content analysis, visualization, personalization and recommender systems as well as aspects of social computing and information science.

Gesellschaft für Informatik the largest computer science specialist representation in the German-speaking area

The Gesellschaft für Informatik is a German organization of approximately 20,000 computer science educators, researchers, and professionals as well as about 200 corporate members. It is the biggest organized representation of its kind in the German-speaking world.

Population informatics study of populations via secondary analysis of massive data collections about people

The field of population informatics is the systematic study of populations via secondary analysis of massive data collections about people. Scientists in the field refer to this massive data collection as the social genome, denoting the collective digital footprint of our society. Population informatics applies data science to social genome data to answer fundamental questions about human society and population health much like bioinformatics applies data science to human genome data to answer questions about individual health. It is an emerging research area at the intersection of SBEH sciences, computer science, and statistics in which quantitative methods and computational tools are used to answer fundamental questions about our society.

ACM SIGHPC

ACM SIGHPC is the Association for Computing Machinery's Special Interest Group on High Performance Computing, an international community of students, faculty, researchers, and practitioners working on research and in professional practice related to supercomputing, high-end computers, and cluster computing. The organization co-sponsors international conferences related to high performance and scientific computing, including: SC, the International Conference for High Performance Computing, Networking, Storage and Analysis; the Platform for Advanced Scientific Computing (PASC) Conference; and PPoPP, the Symposium on Principles and Practice of Parallel Programming.

References

  1. 1 2 Dagstuhl Seminar 10121 on Computational Transportation Science
  2. ↑ The Fourth SIGSPATIAL International Workshop on Computational Transportation Science Archived 2011-10-15 at the Wayback Machine.
  3. ↑ The Third ACM SIGSPATIAL International Workshop on Computational Transportation Science
  4. ↑ The Second International Workshop on Computational Transportation Science
  5. ↑ The First International Workshop on Computational Transportation Science
  6. ↑ PhD program in CTS (retrieved 2010, Mar 30)
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