ABSTRACT
Level of Service (LOS) is an important measure of performance of highways. It is a major input to important decisions on public fund investments. User perception of level of service indicates users’ acceptance of the facility. Urban roads are locations where there is heavy mix of traffic and users take their route choices decisions based on their perception of service level offered by various roads. This research examines user’s perception of LOS of urban roads by computing LOS score based on their perception of speed, quality of road and delay and their degree of importance of each of these factors. The percentage LOS scores computed was then classified into six different LOS categories with the help of fuzzy clustering technique. User perceived LOS were found to be lower than IRC LOS category. Percentage speed reduction (PSR) from free flow speed (FFS) has been identified as a better performance measure for assessing level of service under heterogeneous traffic flow conditions. PSR of individual vehicles from FFS were determined and clustered into six LOS groups using K means clustering algorithm. User perceived LOS were found to be similar to LOS obtained PSR.
