Cab Management System

Abstract—In this paper, we propose a model aims to significantly improve passenger safety within the cab industry by developing a comprehensive vehicle accident detection system combined with an alcohol detection mechanism. The primary goal of this initiative is to tackle two major issues: the prevalence of accidents and the dangers associated with driving under the influence of alcohol. By leveraging technology, this system integrates a series of components, including switches, GPS, GSM modules, and alcohol sensors, all managed by an Arduino microcontroller. The ultimate objective is to create a smart solution that not only addresses immediate safety concerns but also encourages responsible driving habits among cab drivers, thereby fostering a safer environment for passengers. The innovation of this project lies in its ability to combine multiple safety features into a cohesive system that can actively monitor and respond to potential hazards. The GPS component aids in navigation and tracking, while the GSM module facilitates real-time communication, further enhancing the system's responsiveness. One of the key components is the alcohol sensor, designed to detect the presence of alcohol in the driver’s system, which acts as a preventative measure against impaired driving. By integrating these technologies, the project seeks to mitigate the risks associated with alcohol-related incidents, ultimately contributing to a safer travel experience for passengers and promoting a more accountable approach to driving within the cab industry. Index Terms—Limit Switch, Alcohol Sensor, GSM, GPS, Arduino.