On Road Activity Monitoring System (ORAMS) is designed to detect vehicle accidents and notify emergency contacts. It uses hardware like an Arduino board, GPS and GSM modules to detect accidents via a bump sensor and send alerts. The system architecture includes modules to calculate proximity to determine who gets notified, and locate nearby services. It stores user data on a database and updates locations on a webpage. When developed, ORAMS detected accidents and sent alerts while also providing routes and locating hospitals to help users in emergencies. The future aims to make it work without networks between users and add an accident prone area map on a website.
2. Table of Contents
• Problem Definition
• Scope
• System Requirements
• ORAMS System Architecture
• Modules implemented
• Results
• Conclusion
3. Problem Definition
• On Road Activity Monitoring System (ORAMS) is used to detect an accident
whenever the vehicle meets with such casualty and correspondingly send an
immediate alert message to the provided emergency contacts within the proximity
of the accident.
• Also, in case of an emergency the system helps users to find the nearest services
available as and when required by them as per their convenience.
4. Scope
• Accident detection with the corresponding location.
• To notify the users about the same who are present in the vicinity of the
accident location.
• Providing route to the victim from the user location.
• To identify and locate surrounding services within the vicinity of user in case of
an emergency.
5. Software Requirements
• Arduino Software IDE 1.6.5 or above
• Android Studio IDE v3.0 or above
• NetBeans IDE 7.0.1 or above
• Firebase Server
• Android Device working on v6.0 Marshmallow or above
• Operating System:Windows 7/ Windows 8/ Windows 10
• PhpMyAdmin Server
• SublimeText 3
• Notepad++
6. Hardware Requirements
• RAM: DDR3 or DDR5 2 GB/ 4 GB
• Hard Disk Space: 1 GB
• LCD Screen 16 x 2
• Arduino Uno Board
• GSM Module SIM 800L
• Neo 6M GPS Module
• Bump Sensor: Piezo Sensor & Pulse Extender
• ATMega328 Micro-controller
• ConnectingWires: Male and Female
8. Modules Implemented
• Accident detection system: All the hardware modules were integrated to
form this system.This system is integrated with the website and updates
location on the server in real time periodically by using GPS & GPRS
modules using HTTP connection.
• Sending alert notification: Firebase server is integrated with the system
which uses FCM to send push notifications regarding the accident to the
users using android application.
9. Modules Implemented
• Proximity calculation: Haversine algorithm is used to calculate the distance
between the user and the accident location on the client end.The message
is only sent to the users within the proximity of the accident location.
• Nearby Services: Google Place API helps to find the corresponding nearby
services within the vicinity of the user using the android application.
17. Conclusion and future scope
• With ever-evolving advancements in technology and its confluence into our daily
lives increasing every day, one of the sectors most influenced by this development
has been the automobile sector. Increase in automobiles directly affects the
probability of accident occurrences. In the wake of this issue, we have developed a
system as a solution to the same. The system can be implemented for roads
including national highways, expressways and cities where there is ample amount
of network available throughout the journey. The future scope of the project
involves transforming the system to a peer to peer network in which users can
interact with each other and also integrating a website which will store accident
prone areas.
18. References
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Notification,” International Conference on Communication and Signal Processing, April 3-5,2014.
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• Riccardo Colella, Alessandra Esposito, Luca Catarinucci and Luciano Tarricone, “Using Battery – Less RFID Tags
with Augmented Capabilities in the Internet ofThings,” IEEE. Accession Number:115272876, 2016.
• Mr.S.Iyyappan and Mr.V.Nandagopal , Accident Detection and Ambulance Rescue with Intelligent Traffic Light
System, published in International Journal of Advanced Technology and Engineering Research, 2013.
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International Journal of Advanced Technology and Engineering Research(IJATER), pages: 86-92, 2012.
19. References
• S.-Y. Chen, A. Shih, and C.-Y. Hsiao, “Road conditions detection using Arduino based sensing module and
smartphone,” 2015 IEEE Int. Conf. Consum. Electron. -Taiwan, pp. 254–255, Jun. 2015.
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smart phone applications,” IEEE. Accession Number: edseee.7916825, DOI: 10.1109/GET.2016.7916825, 2016.
• Fatemeh Nafar, Hossein Shamsi, “On the Design of a User Interface for an RFID-Based VehicleTracking System,”
Springer.DOI: 10.1007/s10776-016-0329-9, 2017.
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