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# SmartTrainCongestionSystem Application Details: 1)An ecosystem level java application using singleton design pattern to process information from IoT sensors and track real-time space and seat avaliablity in local trains. 2)Scalable multi-user application is developed to build robust interaction between T-Operators, T-Analysts, T-Security and T-Riders. 3)Predictive algoritm designed to alert the T-Riders about the expected drop and increase in the ridership of the running train. 6)The application provides assistance to the travllers on the immediate next station in case of medical/fire/accidental emergencies. 4)Stored sensor data to generate detailed reports for the weekeday and weekend congestion levels during different hours of day on a line. 5)Analyzed data can be used to improve the train capacity during peak congestion times and better utilize resources. Specifications: 1)The application is developed in JavaSE 7 using NetBeans IDE 8.1. 2)db4o, an open source object database is used to store the application data model. 3)Ecosystem architecture and Singleton Design Pattern 3)Application requires login credentials to run and operate different roles as provided below. Roles involed Role Username Password T-Authority Supervisor tadmin tadmin T-Authority Analyst analyst analyst T-Security Supervisor tpolice tpolice T-Security Officier tofficier tofficier T-Rider rider rider
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IoT enable Java Application to track, alert & manage the real time crowdedness levels in local trains.
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