Concept Of Self-Driven Ambulance Synchronized With Live GPS Feed For Faster And Safe Transport Of Patients
Journal Title: International Journal of engineering Research and Applications - Year 2018, Vol 8, Issue 11
Abstract
Whenever there is an emergency and patients are needed to be transported by means of ambulance to the hospitals, there always a delay observed in this process. This delay can be either extra time taken to find the patient’s home; or time lost when ambulance is stuck in traffic or due to some other unavoidable reasons. This often complicates the health of the patient or sometimes results in death. To solve this problem, a self-driving ambulance equipped with on-board position, proximity and other sensors to allow easy travel in traffic. Its propulsion will be controlled by an ECU which is in turn controlled by a central Microprocessor which is connected to GPS. The vehicle is fed with pick-up point and final destination i.e. hospital. This allows us to set the shortest route for travel via GPS. Based on the real time feed, the vehicle keeps a track of alternative routes and predicts further traffic congestion on its route. This allows vehicle to make decision to take a better alternative route and save time. The ambulance can either be powered by an IC Engine or an Electric Motor. The vehicle so selected for the job is now made to run on streets by GPS feeds and independent driving by microprocessor. The ECU controls driving, control and combustion conditions. When further jamming conditions are sensed, the traffic signals can control the flow of traffic such that it won’t allow other vehicles to pass through it, after the ambulance and would make way for ambulance on main or alternative route. This would prevent ambulance getting stuck in traffic and hence providing easy passage for ambulance. The whole system requires integration of ECU, Microprocessor, Traffic Surveillance and signal light control, Live GPS feed and warning to further vehicles in the path.
Authors and Affiliations
Varun Gowda S, Sameer Shah, Balakumar Gardampaali
Keywords
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- EP ID EP416588
- DOI 10.9790/9622-0811023236.
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