1 of 1

Analysis of Mobility Patterns based on Mobile Network Data

Aim

Explore and validate mobility patterns based on large-scale mobile network data (MND) from Telia Crowd Insights, with Norrköping as the study area.

​

Project steps

• Literature study on validation methods
• Exploratory analysis of the datasets
• Methods for outlier detection of travel times
• Gravity model for travel demand

​

Skills: MATLAB, Python and/or R; GIS and SQL an advantage. Group: 1–5 students.

Supervisors: Lisa Norén and David Gundlegård.

Grading

​

Grade 3 Exploratory analysis and comparison of link flows with measured link flows.

​

Grade 4 Outlier detection of travel times between OD pairs, compared with shortest-path travel times from OpenStreetMap.

​

Grade 5 Estimation of a gravity model with population data and travel time as explanatory variables for OD flow.

Traffic Analysis and Smart Cities

LINKÖPING UNIVERSITY

TRANSPORT ANALYTICS