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IOT enabled traffic diversion system for medical emergency services.
- Source :
-
AIP Conference Proceedings . 2024, Vol. 3112 Issue 1, p1-6. 6p. - Publication Year :
- 2024
-
Abstract
- One of the most important results of contemporary technological growth is the sharp increase in vehicle numbers, which has gotten more severe in the wake of the astounding rise in the overall population. Thus, the primary issue at hand is the delay in getting there. Sometimes the delay is explained by how long it takes to get to the hospital or receive initial care.I ndia's dire situation is made worse by traffic. A comprehensive solution is required to reduce the time taken at each step, even if the government is taking several initiatives. Some examples of these include evaluating the patient's status, calling for medical assistance, or making the nearest aid available. As a consequence, most countries in the globe today consider traffic congestion to be a serious problem. Using IOT, a system may be developed to enable emergency vehicles, such ambulances, to get at their destination as soon as feasible. The development of a smartphone application that will facilitate communication between traffic controllers and drivers is ongoing. We would provide the ambulance driver the option to choose the source and destination sites. Near traffic lights, digital screens will display the lane that the traffic controller selected. If other drivers can see the alert on the screen, they will be able to remove themselves from the scene or switch lanes before the ambulance comes. Thousands of fatalities may occur from ineffective traffic management if an ambulance won't be able to reach the hospital in time. However, the problem is becoming worse since, in emerging countries like India, annual road expansion is just around 4% while annual car growth is already at 11%. In light of this, the paper provides a novel, straightforward approach to traffic control in emergency situations. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 0094243X
- Volume :
- 3112
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- AIP Conference Proceedings
- Publication Type :
- Conference
- Accession number :
- 177658104
- Full Text :
- https://doi.org/10.1063/5.0211795