Every year, approximately 1.35 million deaths occur due to car accidents across the globe. There are about 1 in 106 chances of an average person dying in a car accident. Even though India mostly relies on traveling by road transport, it is the least safe mode in the country right now. This work aims to prevent loss of life by providing a rapid response system for road accidents. Many people lose their lives to road transport accidents. Most of these deaths occur due to the patient not reaching a hospital on time or ambulances not reaching them on time. A large number of these fatalities can be prevented by medical help reaching them in the immediate and crucial amount of time after the accident. Currently, the victims depend on another human contacting the helpline number to request assistance. This situation can be improved by developing a more efficient system through automation. This work focuses on designing an automatic rapid response system for such cases, which uses various sensors to detect whether the vehicle has met with an accident (or even is in flames) and sends the location of the vehicle to the nearest fire station and hospital. All of this, including the choice of the fire station and hospital, is automated. Most of these sensors are inexpensive and some are even already found in the vehicles of today. Hence, multiple lives of accident victims can be saved through the proper implementation of this work.

Chapter Contents:

• Abstract
• 7.1 Introduction
• 7.2 Literature survey
• 7.3 Existing works
• 7.4 Proposed system
• 7.4.1 Flow chart of proposed model
• 7.4.2 Proposed architecture diagram
• 7.5 Working modules
• 7.5.1 Hardware
• 7.5.2 Software
• 7.6 Pseudocode
• 7.6.1 Combining inputs
• 7.6.2 API
• 7.6.3 Receiving output from the API and parsing
• 7.7 Results/output
• 7.7.1 Case 1 (accident via collision)
• 7.7.2 Case 2 (accident via fire)
• 7.7.3 Case 3 (no accident)
• 7.7.4 Case 4 (accident via fire and collision)
• 7.8 Conclusion and future scope
• References

Inspec keywords: road accidents; traffic engineering computing; data analysis; transportation

Other keywords: road transport accidents; accident victims; hospital; road accidents; automatic rapid response system; average person; car accident; rapid response system; sensor data analytics

Subjects: Traffic engineering computing