DEVELOPMENT OF AN ANTI-KIDNAPPING MODEL FOR TRAVELLERS’ SECURITY

Abstract

Abstract This study is focused on the design, simulation, performance evaluation and implementation of a web-based travellers’ anti-kidnapping model. This is with a view to assisting travellers to retrieve timely information which could guide them in making safety decisions against kidnapping, which increases ritual killing, robbery and sudden disappearance. The system was first modelled using two methods (Remote Method Invocation (RMI) and Mobile Agent (MA)). The system, based on the two methods, was simulated in MATLAB 7.0 and performance evaluated using the response time, bandwidth and throughput metrics. Additionally, the approach with better performance after simulation was designed using Unified Modelling Language and implemented using HTML, CSS, JQuery for the client-side and Nodejs and MongoDB (Database) for the server-side. The simulation results showed that when the number of users sending requests was 20, the response time for the MA approach was 6000s and the corresponding RMI approach generated a response time of 24,000s. For bandwidth, MA expended bandwidth (Kb/sec) of 60,000, 120,000, 300,000 and 480,000, RMI used bandwidth (b/sec) of 75,000, 150,000, 375,000 and 600,000 when the number of users sending requests were 10, 20, 50 and 80 for the two approaches (MA and RMI) respectively. The MA approach further showed performance superiority in terms of throughput metric to RMI approach in simulation. In conclusion, the newly developed model has the potential of assisting travellers in making safety decisions in boarding fleets, thereby contributing to travellers’ safety and effective criminal tracking on the highways.