Road Traffic Accident is one among the top causes of morbidity and mortality across the world. It is socioeconomic repercussions are a matter of great concern. Efficient addressing of the issue requires quality information on different causative factors. One the major factors is the time lag until m
Motorbike Accident Detection System
Road Traffic Accident is one among the top causes of morbidity and mortality across the world. It is socioeconomic repercussions are a matter of great concern. Efficient addressing of the issue requires quality information on different causative factors. One the major factors is the time lag until medical assistance reaches the incident scene. It has a larger contribution in high rate of causalities across the world. The delay between occurrence of the incident and response of emergency assistance or medical team arrival at the scene, is the strong reason that most of the victims could not survive. Though in luxury and expensive vehicles in-vehicle accident detection systems are integrated. However, in low-end cars and motorbikes no such systems are introduced leading a number of drastic risks of accidents that a victim could face potentially.
The aim of this project is to develop an alert system that can be implemented by developing an Android application and an external sensor-based device attached with the motorbike’s body, to monitor the acceleration, angle, track and other multiple factor to detect unusual behaviors that can lead to an accident and raise the alert and cautions of such situations.
System is intend to provide the efficient way to detect any kind of unusual behavior that a motorbike could face potentially, and alter the emergency contacts. Alert will send an emergency message and the GPS coordinates of the location to all synchronized users. Additionally the system provides features to monitor the journey and trace the location using GPS coordinates.
The alert system that can be implemented by developing an Android-based application and an external sensor-based device attached with the motorbike’s body, the external sensor-based device uses sensors to acquire the data of acceleration and angel to detect the accident. If the application experiences an unusual behavior by analyzing the situation as an accident an audible notification is raised requiring the user's response about the incident. If the user does not respond, the application alerts pre-specified social contacts synced with the riders contact list with an informational message and GPS coordinates. If a contact responds, the system commits an audible notification, automatically connects, and enables the speakerphone. If a social contact confirms the accident, an appropriate emergency service is alerted with minimal delay.
Prototype of the proposed system will be implemented by developing an Android application and a sensor-based device to be integrated with vehicle body and synchronized with the app via wireless connectivity.
Following are Sensors used to detect different parameters of the incident and acquires data of all the parameters of every activity and situation leading the motorbike in the certain motions and situation.
Device consistently monitors the angle rotation, acceleration and other parameters of acquired dataset with efficient threshold based algorithms and trained dataset analyze the behavior/situation.
Application is synchronized with multiple other users (Friends and relatives) allowing them to monitor the travel and its location using GPS (Global Positioning System).
The threshold is based on the parameters such as: speed of the motion/action, angle of motion, time duration of action completion, and level of proximity and sensitivity.
The significant benefit of the system is to overcome the time delay between the occurrence of accident and response and arrival of the medical assistance and other benefit is to generate automatic immediate notification to emergency contacts and synchronized user for the awareness of the situation and activity.
Other most important feature of the system is that it provides full access to the location of incident via sending an emergency message and the GPS coordinates of the location to all synchronized users. Additionally the system provides features to monitor the journey and trace the location using GPS coordinates.
This system provides efficient, reliable, accurate and portable solution in the form of GUI and can proved to be an economically the best alternative of the luxury/expensive cars’ accident detection systems for bikes having no any feature of incident detection or alert system.
Prototype would be an Android-based application and an external sensor-based device attached with the motorbike’s body. Following are Sensors used to detect different parameters of the incident and analyze whether the occurrence is an accident or any unusual behavior leading the motorbike in the certain motions and situation.
Wi-Fi module (to transfer data from device to application software), furthermore raspberry pi would be used initially as microprocessor. Aftermath Application software will perform analysis based of threshold based algorithms and trained dataset of incidents analyze the behavior/situation. In any kind of uncertainty application software will send the alert via an emergency message and the GPS coordinates of the location to all synchronized users.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| SIM7600G-H 4G HAT | Equipment | 1 | 11267 | 11267 |
| 10 DOF IMU Sensor, ICM20948 Onboard | Equipment | 1 | 3400 | 3400 |
| Sense HAT (B) for Raspberry Pi, | Equipment | 1 | 3000 | 3000 |
| Raspberry Pi 4 Model B 4GB | Equipment | 1 | 10032 | 10032 |
| 4inch RPi LCD (C) | Equipment | 1 | 5000 | 5000 |
| GSM/GPRS/GPS Shield (B) | Equipment | 1 | 7200 | 7200 |
| Web Service Cloud | Equipment | 1 | 30000 | 30000 |
| USB Modules | Miscellaneous | 2 | 1000 | 2000 |
| Data Cables + Wires | Miscellaneous | 20 | 100 | 2000 |
| SD Cards | Miscellaneous | 2 | 500 | 1000 |
| Stationary | Miscellaneous | 100 | 50 | 5000 |
| Total in (Rs) | 79899 |
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