Our project's major goal is to provide a smart method to an emergency vehicle during a peak hour and to create a smooth flow for the ambulance to get to the hospital on time. If the patient is trapped in traffic and is not provided the right route because of the holdup, he or she may die. We are introducing a new mode dubbed "ambulance mode," which will regulate traffic within the ambulance's path. Because this plan is automated, it selects the optimum route, allowing you to get to the hospital on time. This is frequently not selected only for an ambulance. It is preferred for other emergency vehicles, such as a fire engine. We have chosen to create an application that would give a "Green Corridor " to the ambulance. The project is divided into three modules: User, Admin, and Driver. Because of the high traffic, the ambulance driver initially did not know the exact position of the accident site, and as a result, we were unable to save many people's lives. Because everything in today's technology runs on smartphones and applications, we developed a mobile application that allows for real-time tracking of ambulance services. Ambulance drivers will be able to register their availability and location via this app. Either the executive emergency helpline or client-side users will schedule an ambulance and the user login. Once the user's position is located on the Google map, the close ambulance will also be marked on the map, Once the patient is on board, the ambulance position is indicated and sent to the administrator; this location is then shared with the ambulance driver, and a list of hospitals is indicated on the map, allowing the administrator to select the nearest hospital to take the patient on time. The navigator geolocation approach is used to track the ambulance's whereabouts. This method will aid in the updating of the ambulance location in the database. Furthermore, the ambulance driver may manage the traffic signals along the impending ambulance route by switching from red to green signals.
Article Details
Unique Paper ID: 153389
Publication Volume & Issue: Volume 8, Issue 7
Page(s): 15 - 19
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