227-0455 – Traffic Modelling (DM)

Gurantor departmentDepartment of Transport Constructions
Subject guarantordoc. Ing. Vladislav Křivda, Ph.D.
Study levelundergraduate or graduate
Subject version
Version codeYear of introductionYear of cancellationCredits
227-0455/01 2019/2020 5
227-0455/02 2019/2020 5

Subject aims expressed by acquired skills and competences

The aim of the course is to introduce the fundamental characteristics of traffic flow in road transport, specialized software for modeling traffic flow and applications to traffic engineering documentation. The next aim is to become familiar with the issue of demand modeling in road and urban transport, specialized software, etc. Students also learn the four-stage transport models, models of traffic flow patterns and behavior of traffic.

Teaching methods

Lectures
Tutorials

Summary

Students will learn about the use of outputs traffic modeling for planning the development needs of territory and the procedures in the preparation of a traffic model. Will get knowledge about the use of software systems for traffic modeling. The solution will be the role of traffic modeling in planning processes and the use of software for traffic modeling in relation to urban transport. Students will be acquainted with the modeling traffic for the purposes of traffic management, real-time preparing of scenarios in traffic excesses. The subject also focuses on the most common currently applied approaches to transport modeling. Introduction deals with traditional approaches to modeling of transport demand, types of models and software products available on the market. The main part of teaching is about four-step transport model and a model based on the theory of traffic flow and behavioralistickými approaches to modeling traffic behavior, decision making in transport and traffic modeling based on population activities. One of the objectives will deepen knowledge in the field of statistical methods applied in the analysis of traffic behavior. Students get an overview of approaches to transport modeling, learn to classify traffic problems and will be able to solve with the help of a suitably chosen methodology. Will provide an overview of approaches to modeling decision-making processes, analysis of transport demand and travel behavior.

Compulsory literature:

- BEN-AKIVA, Moshe E., Hilde MEERSMAN and Eddy VAN DE VOORDE, ed. Freight transport modelling. Bingley: Emerald, 2013. ISBN 978-1-78190-285-1. - KUTZ, Myer, ed. Handbook of transportation engineering. Volume I, Systems and operations. 2nd ed. New York: McGraw-Hill, c2011. ISBN 978-0-07-161492-4. - KUTZ, Myer, ed. Handbook of transportation engineering. Volume II, Applications and technologies. 2nd ed. New York: McGraw-Hill, c2011. ISBN 978-0-07-161477-1.

Recommended literature:

- RUDIN-BROWN, Christina and Samantha JAMSON, ed. Behavioural adaptation and road safety: theory, evidence, and action. Boca Raton: CRC Press, c2013. ISBN 978-1-4398-5667-3. - RODRIGUE, Jean-Paul, Theo NOTTEBOOM and Jon SHAW, ed. The SAGE handbook of transport studies. Thousand Oaks: Sage Publications, 2013. ISBN 978-1-84920-789-8. - Ben-Akiva, M. and S. Lerman. Discrete Choice Analysis, MIT Press, 1985. - Kahneman, D. and A. Tversky (ed.) Choices, Values, and Frames, Cambridge University Press, 2000. - Meyer, M. and E. Miller. Urban Transportation Planning. McGraw-Hill, 2000.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.