Use of Commercial Floating Car Data (FCD) to Determine Spatio-Temporal Changes in Urban Arterial Traffic Characteristics

Date

2023-7

Author

Kürkçüoğlu, Mazhar Mert

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Due to the ever-increasing mobility and automobile ownership in Turkey, traffic congestion is a growing problem. However, due to lack of data, it is hard to develop effective traffic management solutions. Nowadays, Global Positioning System (GPS)-based devices in vehicles allow continuous spatio-temporal tracking, thus, produce a big data set enabling the monitoring of the traffic they travel in. Processing of this data provides commercially available Floating Car Data (FCD) with travel time or speed for the street segments. Despite some quality loss during the generation, FCD presents an opportunity to detect and monitor traffic congestion even on urban arterials. However, effective use of commercial FCD needs development of visualization and analysis tools, which is the main focus of this study. Evaluation of the FCD on a major urban corridor in Ankara in 2016 and 2017 is used to create numerical and graphical results. Archived FCD is stored and managed on a constructed spatial database. An open source tool is developed which aims to reveal spatio-temporal speed variations and visualize traffic characteristics. FCD is used in kriging analysis, which shows traffic pattern with regard to speed variations. Ordinary Kriging (OK) is utilized in spatial interpolations, while the analysis and visualizations are made through Geographic Information Systems (GIS) with the help of geostatistical analysis tools. The assessments consider speed fluctuations during the morning and evening peaks, while seasonal and monthly variations can be investigated. The findings are expected to provide guidance for better traffic management which leads to time and energy savings.

Subject Keywords

Floating Car Data (FCD), Transportation, GIS, Spatial Statistics, Visualization

URI

https://hdl.handle.net/11511/105134

Collections

Graduate School of Natural and Applied Sciences, Thesis