Final Report: Vehicle Collision Detection and Reporting System

This report details a vehicle collision detection and reporting project designed to enhance road safety by automating accident detection and reporting. The project's scope involves a smart system to detect and report road accidents, notifying family members and providing quick medical assistance. Stakeholders include managers, employees, investors, and vehicle companies, with funding from external investors. The system promises benefits like faster medical help, improved vehicle safety, and reduced accident fatalities. The deployment method involves integration into vehicle systems, with data displayed on an LCD monitor. The report outlines costs, including hardware, software, and human resources, along with considerations for weather protection, software updates, and data storage using cloud services. It addresses data privacy, transmission methods, and potential outsourcing. The report concludes by emphasizing the system's potential to mitigate accidents and save lives, highlighting its scope, benefits, and deployment strategies. The bibliography lists relevant research papers on related topics such as accident detection, autonomous vehicles, and road safety.

Running head: VEHICLE COLLISION DETECTION AND REPORTING
VEHICLE COLLISION DETECTION AND REPORTING
Name of student
Name of university
Author’s note:

1
VEHICLE COLLISION DETECTION AND REPORTING
Table of Contents
Introduction....................................................................................................................2
Scope..........................................................................................................................2
Stakeholders and the funding source..........................................................................2
Benefits to organisation or community......................................................................3
Deployment method...................................................................................................3
Costs...........................................................................................................................4
Protection from weather.............................................................................................4
Updating software or firmware..................................................................................4
Cost of renting spaces................................................................................................5
Data storage................................................................................................................5
Use of information.....................................................................................................5
Privacy and data access..............................................................................................5
Data transmission.......................................................................................................6
Outsourcing................................................................................................................6
Conclusion......................................................................................................................6
Bibliography...................................................................................................................8

2
VEHICLE COLLISION DETECTION AND REPORTING
Introduction
This report aims to provide the detailed description of the project of the vehicle
collision detection and the reporting of the collision for simplification of the processes. The
various topic are discussed all through the report that would be helpful in gaining the clear
understanding of the project in the daily life. Lastly this report concludes with the appropriate
conclusion for the report.
This proposed system of the vehicle collision detection and the reporting would
provide the enhanced methods for the detection of the accidents for allowing the prevention
of the accidents. It would detect and occurrence of crash and then notify the family members
of that injured person and it would get option for the quick medical help in the nearby
hospital.
Scope
The scope of this project is to provide the smart system that could help in detecting
any road accidents that could occur and also notify the family members of that injured
individual for allowing the quick medical help for that person1. The project would be
completed within the allocated time and it would finish using the allocated budget.
Stakeholders and the funding source
The stakeholders of this project are the manager, employees, investors, suppliers,
storage providers, customers, IT department and the vehicle companies. The funding source
for this project would be the external investors who have significantly discovered the
potential of this project and the benefits of the system have been comprehended by the
investors.
1 Fernandes, B., Alam, M., Gomes, V., Ferreira, J. and Oliveira, A., 2016. Automatic accident detection
with multi-modal alert system implementation for ITS. Vehicular Communications, 3, pp.1-11.

3
VEHICLE COLLISION DETECTION AND REPORTING
Benefits to organisation or community
The common people would be significantly benefitted from this system as it would
assure the quick medical help to the injured people and if the victim could be recovered from
the unconsciousness then the medical help would be notified regarding the accident that
would help in decreasing the number of the injuries and the accidents in the roads or any
other mode of transport2. The organisation could provide the improved products to the
customers as the vehicles that are bought by the customers would have the system
implemented in the core system. This automated system could help in the mitigation of the
accident fatalities by the saving of valuable human life3. It could determine the location of
any nearby hospital by the computation of the latitude and the longitude. With the use of the
GSM, the reports could be provided to the hospitals regarding that incident and it allows the
gaining of proper medical help in time4.
Deployment method
This project would be deployed in the vehicle configuration and it would be added in
the core system of the car. The data from this system would be shown in the LCD monitor
that have implemented in the vehicles and it would allow the gaining of the required data for
prevention of the accidents.
2 Favarò, F.M., Nader, N., Eurich, S.O., Tripp, M. and Varadaraju, N., 2017.
Examining accident reports involving autonomous vehicles in California. PLoS one, 12(9),
p.e0184952.
3 Brady, J.E. and Li, G., 2014. Trends in alcohol and other drugs detected in fatally
injured drivers in the United States, 1999–2010. American journal of epidemiology, 179(6),
pp.692-699.
4 McClintock, B.T., Onorato, D.P. and Martin, J., 2015. Endangered Florida panther
population size determined from public reports of motor vehicle collision mortalities. Journal
of Applied Ecology, 52(4), pp.893-901.

4
VEHICLE COLLISION DETECTION AND REPORTING
Costs
The total cost of the project would be approximately $40,000 that includes the
hardware costs, software costs and the human resource costs5. The hardware costs includes
the cost of the several microchip and the Arduino based platform for gaining the data and all
the hardware cost could be approximately $15,000. The cost of the software would be almost
$10,000 where the several software are required for gaining the data from the microchip to
the LCD. The human resource cost that is required for the development of the system and the
successful implementation of the system is $15,000.
Protection from weather
The system would be implemented inside the vehicles that would prevent any kind of
damage due to the weather and there might be some issues of the vandalism and the system
could be extracted from the vehicles.
Updating software or firmware
There is the constant requirement of the regular upgrades of the hardware and the
software for the system for allowing the improved functioning of the system and allow the
real time data monitoring from the system6. The microchip that are implemented in the
5 Huijser, M.P., Fairbank, E., Camel-Means, W., Salish, C. and Tribes, K., 2015. US
93 North post-construction wildlife-vehicle collision and wildlife crossing monitoring and
research on the Flathead Indian Reservation between Evaro and Polson, Montana annual
report 2014. Western Transportation Institute, College of Engineering, Montana State
University, Bozeman, MT.
6 Benedetto, F., Calvi, A., D’Amico, F. and Giunta, G., 2015. Applying
telecommunications methodology to road safety for rear-end collision
avoidance. Transportation research part C: emerging technologies, 50, pp.150-159.

5
VEHICLE COLLISION DETECTION AND REPORTING
sensors are required to be constantly monitored for any kind of damage or the delayed
detection and it is required to be replaced as soon as possible7.
Cost of renting spaces
There is significant cost of the renting spaces for the development of the project and
approximately $5000 is required for hiring the spaces that would be adequate for the
development of system. The human resources would be working in one section and the
testing phase would be done in the other section where the proper authentication of the
system would be done prior deployment of the system in the cars
Data storage
The data from the IoT system would be recorded and stored in the cloud storage of
AWS where the data is managed and the authentic users are provided the access to the
required data.
Use of information
The information that has been gained from the system could be used for the detection
of the accidents and this would help in the prevention of the accidents and also this
information would be utilised by the family members of the injured victims to notify the
police officials if the accident was intended to impact severely on the victim.
Privacy and data access
The proper authentication protocol would be implemented in the cloud storage for
allowing the restricted access to the data storage and the proper credentials would be placed
in the cloud storage for checking the proper users accessing the data. Firewall would be
7 Li, Z., Ahn, S., Chung, K., Ragland, D.R., Wang, W. and Yu, J.W., 2014. Surrogate
safety measure for evaluating rear-end collision risk related to kinematic waves near freeway
recurrent bottlenecks. Accident Analysis & Prevention, 64, pp.52-61.

6
VEHICLE COLLISION DETECTION AND REPORTING
implemented in all the computing systems for preventing the entry of any unauthorised users
in the system.
Data transmission
The transmission of the data would be done using the internet connection in the
system that would help in displaying all the information that has been gathered into the
display monitor of the vehicle. It would be done using the wireless medium due to the
increased speed and the transmission accuracy of the wireless medium8.
Outsourcing
The strategic alliances are required to be formed with the service providers for
ensuring the proper gaining of the services and the best quality supplies for the system of
project.
Conclusion
Therefore, it can be concluded that the automated system could help in mitigation of
the various kinds of the accidents and the fatalities that could harm the individuals. The scope
of this project is to provide the smart system that could help in detecting any road accidents
that could occur and also notify the family members of that injured individual for allowing
the quick medical help for that person. The common people would be significantly benefitted
from this system as it would assure the quick medical help to the injured people and if the
victim could be recovered from the unconsciousness then the medical help would be notified
regarding the accident that would help in decreasing the number of the injuries and the
accidents in the roads or any other mode of transport.
8 Li, J., Ye, D.H., Chung, T., Kolsch, M., Wachs, J. and Bouman, C., 2016, October.
Multi-target detection and tracking from a single camera in Unmanned Aerial Vehicles
(UAVs). In 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems
(IROS) (pp. 4992-4997). IEEE.

7
VEHICLE COLLISION DETECTION AND REPORTING

8
VEHICLE COLLISION DETECTION AND REPORTING
Bibliography
Fernandes, B., Alam, M., Gomes, V., Ferreira, J. and Oliveira, A., 2016. Automatic accident
detection with multi-modal alert system implementation for ITS. Vehicular
Communications, 3, pp.1-11.
Favarò, F.M., Nader, N., Eurich, S.O., Tripp, M. and Varadaraju, N., 2017. Examining
accident reports involving autonomous vehicles in California. PLoS one, 12(9), p.e0184952.
Brady, J.E. and Li, G., 2014. Trends in alcohol and other drugs detected in fatally injured
drivers in the United States, 1999–2010. American journal of epidemiology, 179(6), pp.692-
699.
McClintock, B.T., Onorato, D.P. and Martin, J., 2015. Endangered Florida panther population
size determined from public reports of motor vehicle collision mortalities. Journal of Applied
Ecology, 52(4), pp.893-901.
Huijser, M.P., Fairbank, E., Camel-Means, W., Salish, C. and Tribes, K., 2015. US 93 North
post-construction wildlife-vehicle collision and wildlife crossing monitoring and research on
the Flathead Indian Reservation between Evaro and Polson, Montana annual report 2014.
Western Transportation Institute, College of Engineering, Montana State University,
Bozeman, MT.
Benedetto, F., Calvi, A., D’Amico, F. and Giunta, G., 2015. Applying telecommunications
methodology to road safety for rear-end collision avoidance. Transportation research part C:
emerging technologies, 50, pp.150-159.
Li, Z., Ahn, S., Chung, K., Ragland, D.R., Wang, W. and Yu, J.W., 2014. Surrogate safety
measure for evaluating rear-end collision risk related to kinematic waves near freeway
recurrent bottlenecks. Accident Analysis & Prevention, 64, pp.52-61.

9
VEHICLE COLLISION DETECTION AND REPORTING
Li, J., Ye, D.H., Chung, T., Kolsch, M., Wachs, J. and Bouman, C., 2016, October. Multi-
target detection and tracking from a single camera in Unmanned Aerial Vehicles (UAVs).
In 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp.
4992-4997). IEEE.