Skip to main content

AG2301 Traffic Data Collection and Analysis (short course) 4.5 credits

Choose semester and course offering

Choose semester and course offering to see information from the correct course syllabus and course offering.

Headings with content from the Course syllabus AG2301 (Autumn 2020–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

  • Transport geographical information needs
  •  Sampling and statistical tests
  • Hypothesis test and confidence interval
  • Linear regression and applications (in transport and traffic)

Intended learning outcomes

After passing the course, the student should be able to

  • Identify appropriate methods for transport traffic and spatial data collection
  • Understand transport data needs
  • Understand the role of the sample in the data collection process
  • Be able to draw statistical conclusions from hypothesis test and interval estimations
  •  State and estimate linear regression models and discrete choices models
  • Apply methods and interpret results by means of statistical software

Course disposition

No information inserted

Literature and preparations

Specific prerequisites

Degree of Bachelor in technology, natural sciences, finance, planning or a similar higher education qualification with at least 60 credits. (ECTS) in mathematics, physics, statistics and/or computer science according to the conditions for entry requirements to master's education in transport and geographical information systems Together with documented knowledge in English equivalent English

Recommended prerequisites

No information inserted


No information inserted


No information inserted

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


  • LAB1 - Hand-in assignment, 2.5 credits, grading scale: A, B, C, D, E, FX, F
  • TEN1 - Written exam, 2.0 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.

Examiner decides, based on recommendation from KTH Royal Institute of Technology's coordinator for disabilities about possible adapted examination for students with documented, permanent disabilities. The examiner may permit other examination formats at the re-examination of individual students.

Other requirements for final grade

Final grade comes to establish of grade on examination and labs with grading scale A-F.

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 Michele Simoni

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

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Course web AG2301

Offered by

ABE/Transport and Systems Analysis

Main field of study

Built Environment

Education cycle

Second cycle

Add-on studies

No information inserted