Prediction of Conflicts in Transportation Services using Real-Time Data

Abstract

Smart-cities are intended to provide the comfort and satisfaction of the citizens belonging to it. There has been so many advances in the Smart-cities but still some con?icts a?ect the smart-ness of the smart- city. The problem of traffic jams in Public Transportation Services like Bus, Trains, Tubes(Metros) due to various unpredictable Realtime con?icts resulting the overall satisfaction of the user. Also, the three parallel services being independent to one another have no communication because of their distinct nature. To overcome such con?icts this paper detects and defines the key issues in smart- city public transport systems. In fact the paper is focussing on the con?icts that arise among the public transport services with three distinct providers. To monitor these services working in smart-cities, a Watch-dog architecture has been used. The Watch-dog Architecture works on detection the con?icts and returns it to the admin user to take proper decision. The Realtime data aggregated from all the three services is integrated and processed to re?ect the Runtime con?icts arising in the public transport services. This Watchdog Architecture re?ects the result in percentage by focussing on a area where all the three services integrate to result a con?ict.