AH2172 Transport Data collection and Analysis 7.5 credits

• 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.

• 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

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

To be determined. Possible literature may include:

• J.de 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

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

• 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.

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.

Fariya Sharmeen

• 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.

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