Daily commuters using the Public Transport System (PTS) have a different experience in ComfortPerception (CP) depending on the time of day. The pick-time CP value is not good, compared to rest time. This problem raised in PTS is due to the fixed-route strategy. The issue here is addressed by implementing demand based dynamic routing approach using the SUMO tool noting service time, request allocated per vehicle, average waiting time, and average travel time over variously categorized network topology. It was observed that dynamic routing reduces the travel time of passengers from 5.3mins to under 5mins. This reduction here is achieved with a little overhead of computational time as low as 14.37ms/request. The result shows that the ratio of average waiting time to average travel time is up to 0.5 for smaller network and decreases with an increase in network size and well connected-network.