DEVELOPMENT OF AN ANDROID SMARTPHONE AND GPS-BASED SYSTEM FOR DETECTING AND ALERTING VEHICLE CRASH LOCATIONS
ABSTRACT:
In contemporary times, road accidents of varying magnitudes have been documented in both developed and developing nations across the globe. The prevalence of accidents, particularly those resulting in loss of life, is a concerning issue worldwide, with a pronounced impact on developing countries. The predominant solution thus far has been the adoption of in-vehicle accident detection systems, which tend to be financially demanding. This research endeavors to present an alternative solution that is more cost-effective and universally applicable, aimed at expediting the reporting and response process following a vehicular collision.
The proposed system comprises two mobile applications: one for users or victims (referred to as the User App), and another for relevant agencies (referred to as the agency App). The User App employs the built-in accelerometer and General Packet Service (GPS) of a mobile device to identify instances of a crash and determine the precise geographic coordinates of the event. Subsequently, a notification is dispatched to the appropriate agency. To ensure swift response, up to three pertinent agency locations and their corresponding contact numbers are stored within a Firebase cloud database. This information is then utilized to map the nearest agency to the crash site, enabling real-time transmission of an SMS containing location coordinates and a Google Maps image of the accident scene.
The agency-side application facilitates agency registration on the Firebase platform. For visualization purposes, each concerned agency must possess a smartphone capable of displaying Google Maps images. The development and implementation of these two applications were executed using the Android Studio Integrated Development Environment (IDE), employing Java programming for event handling and Extended Markup Language (XML) for interface design. Notably, the system was exclusively implemented on Android smartphones, with adherence to a minimum Application Programming Interface (API) level of 16.
Validation of the system yielded compelling results: sensitivity was measured at 93%, accuracy at 91%, precision at 92%, and specificity at 87%. These outcomes collectively affirm the efficiency and effectiveness of the proposed system in addressing the targeted objectives.
DEVELOPMENT OF AN ANDROID SMARTPHONE AND GPS-BASED SYSTEM FOR DETECTING AND ALERTING VEHICLE CRASH LOCATIONS. GET MORE, ACTUARIAL SCIENCE PROJECT TOPICS AND MATERIALS
