Comparison and Evaluation of Real Time Reservation Technologies in the Intelligent Public Transport System

Abstract

The demand of Public Transport System (PTS) is increasing day by day because it is quite easy, frequently available and cheap in cost as compared to the private transport system. It attracts attentions both from academia and Industry. But at the same time have many issues such as-travel time estimation, route selection, real-time tracking of vehicles, and efficient way of reservation. The solution of these problems helps the drivers as well as to users to use PTS in timely and efficient manner. Although many state-of-the-art proposals exist in the literature to address these issues there is scope available to identify the parameters responsible for an efficient way of real-time PTS reservation. Keeping the above-mentioned points into consideration, this paper provides the detailed taxonomy of PTS and also give proper categorization of the existing approaches. This gives the much-needed clarity with regards to the issues related to Intelligent PTS and their solutions available in the literature. The parameters used for framing the main taxonomy are such as-quality & fare, route selection, seat selection, and seat availability. We also compared all standard algorithm and approaches available for PTS. We also highlight the open issues and challenges encountered by the researchers. These help the beginners who need to begin the work in this.