227-0304/02 – Traffic Demand Modelling (MDPo)
Gurantor department | Department of Transport Constructions | Credits | 5 |
Subject guarantor | doc. Ing. Vladislav Křivda, Ph.D. | Subject version guarantor | doc. Ing. Vladislav Křivda, Ph.D. |
Study level | undergraduate or graduate | Requirement | Choice-compulsory |
Year | 1 | Semester | summer |
| | Study language | Czech |
Year of introduction | 2015/2016 | Year of cancellation | 2020/2021 |
Intended for the faculties | FAST | Intended for study types | Follow-up Master |
Subject aims expressed by acquired skills and competences
The goal 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
Individual consultations
Tutorials
Summary
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The course 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 of the course 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:
1. Ben-Akiva, M. and S. Lerman. Discrete Choice Analysis, MIT Press, 1985.
2. Kahneman, D. and A. Tversky (ed.) Choices, Values, and Frames, Cambridge University Press, 2000.
3. Meyer, M. and E. Miller. Urban Transportation Planning. McGraw-Hill, 2000.
Recommended literature:
Way of continuous check of knowledge in the course of semester
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
Co-requisities
Subject has no co-requisities.
Subject syllabus:
Approaches to traffic modeling
Special software for traffic demand modeling
Four-stage transport model
Modeling traffic flow
Modeling travel behavior
Modelling decision-making processes in transport
Transport modeling based on population activities
Statistical methods for analyzing travel behavior
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction