Knowledge-Based and Crowdsourcing Fault Analysis Toolkit for Unexpected Vehicle Malfunction

Abstract

Mobile gadgets such as phones and tablets are used not only to communicate but also handy and a need to access applications that improves daily people’s lives. Considering not all drivers have enough knowledge of what car mishaps they will encounter on the road or even idea on where is the location of the nearest mechanic shop plus what numbers to call for help like towing services. The research suggests solutions to unexpected vehicle malfunction by implementing a mobile application that has access to an updated knowledge base for basic car mishaps and available services. Providing the best functionality, the mobile application undergoes a variety of functional test procedures that satisfies the required parameters needed. The tests were successfully conducted, proving that the project is functional.