AN ENHANCED RAILWAYS CONTROL OFFICE APPLICATION IMPLEMENTATION IN CLOUD ENVIRONMENT

M. Manimekalai, R. Raghuraman

Abstract: As a result of continuous advancement of research and technology, travelling from one to place to another has become affordable and more at ease. There are opportunities which exist even for travel from Earth to Mars and other planets. The developments in the field of transportation have made a colossal impact in travelling for the passengers and other customers who rely on mass transportation of their goods. Many of the travel surveys reveal vital information about trips performed by people like origin, destination, mode, duration, distance and purpose of trips, as well as socio-economic and demographic data for investigation. This has made it possible to provide the best possible mixture of Fixed facilities, Flow entities, Operational plans, Storage facilities and Control systems wherein it allows the people and goods to trounce the abrasion offered by geographical spaces in a competent, secured and more affordable manner to attain the time and place benefit for the desired activity. The role of Indian Railways in maintaining train operations is effectively done by the Control Rooms in each of the seventy seven divisional/ area control offices. These Control Rooms are the nerve centre of the divisional operations. The effectiveness in maintaining the train schedules lies with the staff who are in charge of the Control Room operations. The Control Office never shuts down its operations and works 24X 7 to monitor and maintain fluidity of operations over its jurisdiction. In the recent days, train movements are supervised and captured in real time with the use of Control Office Application (COA) for effective monitoring of both scheduled and unscheduled trains. With the deployment of COA, a scheduled train can be started from one terminal to another by plotting the graph through getting information about the train from the stations manually, i.e., the information will be collected by a Controller on duty and the details collected include station name, train number, arrival time and departure time. This captured date is used for plotting the graph showing the movement of the train in the direction of its run and it also aids in fixing crossing or precedence of two or more trains at the best location based on conflict protocols. In this paper, we propose a new algorithm for voice-to-text conversion in mechanizing the scheme of information capture in the COA wherein the system would still capture the information from the station even when the Controller (human agent) is not available or when the inputs are received from more than one station. The proposed structure gives an opportunity to help us to overcome the human dependence and related errors in collection of information from the field. In the automation mode, when the human agent is physically not available, he will have the facility to switch on to the automated mode through which the information from the station can be collected as voice input, recorded and then converted into the text using the proposed algorithm. This would enable the application to use the data in an uninterrupted fashion for plotting the further movement of the train and also use the data for advance plotting in a more realistic fashion. The cloud is a set of hardware, networks, storage, services, and interfaces that facilitate the deliverance of computing as a service. In this type of cloud we are implementing our COA application software. It reduces the cost of hardware, hardware problems, servers.

Keywords: COA, FOIS, CRIS, NTES, RAS, MIS

DOI: https://doi.org/10.15623/ijret.2015.0406060