Traffic State Estimation, Prediction and Control, 6 credits

Trafikflödesestimering, prediktion och styrning, 6 hp

TNK120

Main field of study

Transportation Systems Engineering

Course level

Second cycle

Course type

Programme course

Examiner

Joakim Ekström

Director of studies or equivalent

Erik Bergfeldt

Education components

Preliminary scheduled hours: 44 h
Recommended self-study hours: 116 h

Available for exchange students

Yes
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV
6CKTS Communication and Transportation Engineering, M Sc in Engineering 9 (Autumn 2019) 1 1 English Norrköping E
6CKTS Communication and Transportation Engineering, M Sc in Engineering (Master Profile Traffic Analysis) 9 (Autumn 2019) 1 1 English Norrköping C
6MTSL Intelligent Transport Systems and Logistics, Master's Programme 3 (Autumn 2019) 1 1 English Norrköping E

Main field of study

Transportation Systems Engineering

Course level

Second cycle

Advancement level

A1X

Course offered for

  • Communication and Transportation Engineering, M Sc in Engineering
  • Master's Programme in Intelligent Transport Systems and Logistics

Prerequisites

Basic knowledge about traffic theory and planning and simulation of traffic.

Intended learning outcomes

Traffic state estimation and prediction are essential components of traffic information and control systems. The purpose of this course is to provide basic knowledge in the area of traffic estimation, prediction and control, and give insight on how traffic control can be used for improving the efficiency of traffic systems and reducing the environmental impact from car traffic in urban areas. Furthermore will the course introduce dynamic network wide modeling of traffic, and give insight in the underlying theory of dynamic user equilibrium models.

After the course, the student shall be able to:

  • Describe and utilize filtering methods on heterogeneous traffic data, for traffic state estimation purposes
  • Describe and utilize basic data driven method for traffic state prediction
  • Formulate and utilize macroscopic traffic flow simulation models for traffic analysis
  • Describe and apply traffic control strategies for motorways
  • Describe and utilize dynamic traffic assignment models for evaluating and analyzing traffic management and control systems
  • Describe and utilize methods for evaluating traffic impact on the environment
  • Describe different types of traffic models’ advantages, disadvantages, and suitability for analyzing different types of traffic facilities and traffic control and management systems for urban networks
  • Discuss and analyze the relevance of the course and the course content in relation to the scope of the master program that the student are taking and in relation to a future working career as a traffic engineer

Course content

  • Introduction to traffic state estimation
  • Filtering and assimilation of heterogeneous traffic data
  • Introduction to data driven traffic state prediction
  • Macroscopic traffic simulation
  • Traffic control on motorways
  • Introduction to dynamic traffic network assignment and mesoscopic traffic simulation
  • Experiments with dynamic network assignment models
  • Application of dynamic traffic assignment methods to traffic management problems
  • Emission modeling

Teaching and working methods

The course consists of lectures, seminars and laboratory work.

Examination

LAB1Laboratory Work3 creditsU, 3, 4, 5
UPG1Individual Assignments3 creditsU, 3, 4, 5

Grades

Four-grade scale, LiU, U, 3, 4, 5

Department

Institutionen för teknik och naturvetenskap

Director of Studies or equivalent

Erik Bergfeldt

Examiner

Joakim Ekström

Education components

Preliminary scheduled hours: 44 h
Recommended self-study hours: 116 h

Course literature

Books

  • Treiber, Martin, Kesting, Arne, (2013) Traffic Flow Dynamics. Data, Models and Simulation Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
    ISBN: 9783642324604, 9783642324598

Other

  • Additional material available at the course web.

Code Name Scope Grading scale
LAB1 Laboratory Work 3 credits U, 3, 4, 5
UPG1 Individual Assignments 3 credits U, 3, 4, 5

Books

Treiber, Martin, Kesting, Arne, (2013) Traffic Flow Dynamics. Data, Models and Simulation Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.

ISBN: 9783642324604, 9783642324598

Other

Additional material available at the course web.

Note: The course matrix might contain more information in Swedish.

I = Introduce, U = Teach, A = Utilize
I U A Modules Comment
1. DISCIPLINARY KNOWLEDGE AND REASONING
1.1 Knowledge of underlying mathematics and science (G1X level)

                            
1.2 Fundamental engineering knowledge (G1X level)

                            
1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)

                            
1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level)

                            
1.5 Insight into current research and development work

                            
2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
2.1 Analytical reasoning and problem solving

                            
2.2 Experimentation, investigation, and knowledge discovery

                            
2.3 System thinking

                            
2.4 Attitudes, thought, and learning

                            
2.5 Ethics, equity, and other responsibilities

                            
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork

                            
3.2 Communications

                            
3.3 Communication in foreign languages

                            
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
4.1 External, societal, and environmental context

                            
4.2 Enterprise and business context

                            
4.3 Conceiving, system engineering and management

                            
4.4 Designing

                            
4.5 Implementing

                            
4.6 Operating

                            
5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS
5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development

                            
5.2 Economic conditions for knowledge development

                            
5.3 Identification of needs, structuring and planning of research or development projects

                            
5.4 Execution of research or development projects

                            
5.5 Presentation and evaluation of research or development projects

                            

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