FCM clustering using GPS data for defining level of service criteria of urban streets in Indian context

At present speed ranges for Levels of Service (LOS) categories are not well defined for highly heterogeneous traffic flow on urban streets in Indian context. In this regard a study was carried out in the city of Mumbai in India. The objective of this research work is to define free-flow speed ranges of urban street classes and speed ranges of LOS categories. In this regard speed data were collected using GPS palmtop and Fuzzy C-Means (FCM) clustering is used to define the speed ranges. It is found from this study that speed-ranges for LOS categories in Indian context are lower than that mentioned in Highway Capacity Manual.