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AH2172 Transport Data collection and Analysis 7.5 credits

Course offering missing for current semester as well as for previous and coming semesters
Headings with content from the Course syllabus AH2172 (Autumn 2007–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

  • Transportation data needs
  • Surveys and survey design
  • Traffic studies
  • Sampling and sample statistics.
  • Descriptive statistics and outliers
  • Hypothesis testing and confidence Intervals
  • Linear regression and applications ( in transport and traffic)
  • Other data analysis and model building methods

The content of the course is presented and trained in tutorials. Applications are in safety studies, traffic studies, and transport planning. Further training in field surveys and data collection, reduction and analysis is  carried out in the form of comprehensive project work. The project covers all the major steps that have to be undertaken including report preparation, discussion of the results. The students will also present their results for discussion.

Intended learning outcomes

  • Identify appropriate methods for transportation and traffic data collection.
  • Understand transportation data needs.
  • Understand the role sampling the data collection
  • Use descriptive statistics for the analysis and preparation of data
  • Perform outlier analysis.
  • Perform statistical inference for hypothesis testing and interval estimations
  • Use data for model building including
  • Linear regressions
  • Non linear models.
  • Apply methods and interpret results using statistical sofware

Course disposition

No information inserted

Literature and preparations

Specific prerequisites

Knowledge corresponding to the following courses:
AH2300 Transport and society.
AH2171 Traffic Engineering and Management.

Recommended prerequisites

No information inserted


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To be determined. Possible literature may include:

  • D. Ortúzar and L.G. Willumsen (2002), Modelling Transport (2002).
  • S.Washington, M Karlaftis, F.Mannering (2003).Statistical and Econometric Methods for Transportation Data Analysis (2003).
  • A selection of research articles.
  • O’Flaherty (ed.) (1997) Transport Planning and Traffic Engineering, (1997), chapter 12-13 (PW Bonsall) and parts of other chapters

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

A, B, C, D, E, FX, F


  • PRO1 - Project, 2.5 credits, grading scale: P, F
  • TEN1 - Examination, 5.0 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Other requirements for final grade

A mandatory written examination equivalent to 5 cr with grading scale A-F and a mandatory project assignment equivalent to 2.5 cr with grading scale A-F. The course will have grading scale A-F, where the course grade will be determined by the grade on the written examination and the project work.

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted


Profile picture Harilaos Koutsopoulos

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course web

No information inserted

Offered by

ABE/Transport and Systems Analysis

Main field of study

No information inserted

Education cycle

Second cycle

Add-on studies

All later courses in the Master’s Programme in Transport Systems.


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