227-0455/01 – Traffic Modelling (DM)

Gurantor departmentDepartment of Transport ConstructionsCredits5
Subject guarantordoc. Ing. Vladislav Křivda, Ph.D.Subject version guarantordoc. Ing. Vladislav Křivda, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Year1Semesterwinter
Study languageCzech
Year of introduction2019/2020Year of cancellation
Intended for the facultiesFASTIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
KRI74 doc. Ing. Vladislav Křivda, Ph.D.
NOV0272 Ing. Jakub Novák
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2
Part-time Credit and Examination 16+0

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.

Way of continuous check of knowledge in the course of semester

Continuous elaboration and submission of individually assigned programs in the required deadline and quality.

E-learning

Other requirements

At least 70% attendance at the exercises. Absence, up to a maximum of 30%, must be excused and the apology must be accepted by the teacher (the teacher decides to recognize the reason for the excuse). Tasks assigned on the exercises must be hand in within the dates set by the teacher.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. The first issue of transport modeling, basic definitions and concepts in the field of microscopic simulations 2. Principles speed and composition of traffic flow measurement, incl. demonstrations 3. Issue of movement of the vehicle itself 4. Issue of the movement of traffic flow 5. Principles of measurement of the time delay at the crossroads and problems of pedestrians in traffic 6. Modeling microscopic simulation models in specialized software - the movement of vehicles and pedestrians 7. Modeling microscopic simulation models in specialized software - interaction movement of vehicles and pedestrians 8. Special software for traffic demand modeling, four-stage transport model 9. Traffic surveys for macroscopic traffic models (theory and practical example) 10. Statistical processing of data for macroscopic traffic models (methods) 11. Real traffic survey for traffic model, incl. processing 12. Modelling of macroscopic model in special simulation software 13. Presentation of macroscopic model in special simulation software 14. Excursion specialized centers

Conditions for subject completion

Full-time form (validity from: 2019/2020 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 35  18
        Examination Examination 65  16
Mandatory attendence parzicipation: At least 70% attendance at the exercises. Absence, up to a maximum of 30%, must be excused and the apology must be accepted by the teacher (the teacher decides to recognize the reason for the excuse).

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2020/2021 (N0732A260011) Civil Engineering - Transport Constructions PPI K Czech Ostrava 1 Compulsory study plan
2020/2021 (N0732A260011) Civil Engineering - Transport Constructions PPI P Czech Ostrava 1 Compulsory study plan
2019/2020 (N0732A260011) Civil Engineering - Transport Constructions PPI K Czech Ostrava 1 Compulsory study plan
2019/2020 (N0732A260011) Civil Engineering - Transport Constructions PPI P Czech Ostrava 1 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner