Demand Responsive Transport (DRT) is an intermediate form of public transport, a service that lies somewhere between regular bus and personalized taxi, which provides on demand transport to commuters using a ﬂeet of vehicles operating in shared-ride mode between pick-up and drop-off locations. However, a range of technological, social, market, economic and institutional barriers has prevented its widespread adoption. The vehicle routing problem associated with this kind of systems is classiﬁed as Dial-a-Ride-Problem (DARP).The purpose of this work is the development of smart DRT system which solves this problem wherein Radio Frequency Identiﬁcation (RFID) technology, dynamic bus trip scheduling, and routing to cloud computing have been applied. A simulator running on the cloud analyzes the viability of the implementation of this system for the city of of Gumi in Gyeongsangbuk-do, South Korea. To evaluate the proposed system,it has been compared to the current conventional public transport system implemented in this city, analyzing different parameters related to quality of service.