A Mobile Crowdsensing-Based Solution for Online Bus Tracking

Abstract

Real-time Bus Tracking is a critical part of an efficient public transport system. However, some current solutions are financially costly and inconsistent because of the unavailability of GPS signals or mobile data network. This paper describes a novel bus tracking solution based on the mobile crowd-sensing paradigm. Our proposed solution addresses the unavailability problems, cost-effectiveness, and security issues in collaborative sensing. As proof of concept, we implemented a prototype and evaluated its functionality, energy consumption, and performance. The obtained results show the use of crowd-sensing and low cost hardware are promising for real-time bus tracking.