Motorcycle Accident Monitoring System

This assignment describes the development of an accident monitoring system for motorcycles. The project utilizes a MEMS accelerometer to detect sudden changes in motion, indicative of accidents. GPS technology is integrated to provide location data in case of an emergency. The document outlines the system's design, testing methodology, and performance evaluation. It also delves into the creative work strategies employed during the project and highlights the teamwork involved.

Competency Demonstration Report (CDR)
Career Episode 2

CE 2.1: Introduction to the Undertaken Project
Name of the Project : Wireless Black Box Using Mems Accelerometer And Gps
Tracking For Accidental Monitoring Of Vehicles
Geographical Location : [Please mention]
Project Duration : [Please mention]
Organization : [Please mention]
Position in the Project : Team Member
CE 2.2: Background of the Project
CE 2.2.1: Features of the Undertaken Project
One of the major problems in the modern society is the increased percentage of the
motorcycle accidents. I have learnt that despite of server awareness campaigns and training
session among the rides, accidents often occurs due to drunk driving, without helmet, and over
speed driving. The increased number of accidents has resulted in the increased number of
disabilities and death causing huge economic and social burdens. I have conducted review of
past literature and observed that various tracking system has been developed but are only
installed with high end motorcycles. I have found the reason is due to expensive nature and
complexity of the design. Therefore, I undertook this project for the development of low cost
accident alarm and detection system especially for the motorcycle. For this purpose, I have used
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MEMS technology for developing Black box for motorcycle and integrated GPS technology for
tracing the location of the motorcycle. Furthermore, I have utilized smart phones, three axis
accelerometer, GSM module and GPS system in the project.
CE 2.2.2: Aims and Objectives
I have focused on developing a design of low cost yet efficient accident monitoring and
detection plan for motorcycles. Through this project, I have aimed at decreasing the accidents
rates in motorcycle. I have used my knowledge of wireless networking and smart phones
technology in this project. In order to complete the project within the allocated time and scope I
have designed the following objectives:
 To develop the required mechanism for detecting and monitoring the accidents on
motorcycles;
 To identify the low cost components required for the implementation;
 To set up the required environment for conducting the experiment;
 To propose a required design for the hardware system of the accident monitoring
system;
CE 2.2.3: Characteristic of my work in the Undertaken Project
In this project I have made a significant ate for locating the map based in the GPS traced
found on the smart phones used by the bikers. Through this I was able o accurately determining
the position of the vehicle in real time. I have identified the characteristic and technical
requirements necessary for the android OS smart phones. In addition to that, I have identified the
Arm7TDMI, microcontroller unit and temperature sensors as the main components of the
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system. Moreover, I had associated myself in this project with the integration of GSM modem,
GPS technology and Micro-Electro-Mechanical Systems.
CE 2.2.4: Organizational Structure Associated with this Project
Figure 1: Team Member Associated with the Project
CE 2.2.5: Responsibilities Undertaken by me
I was responsible for developing the appropriate design and system of wireless black box
for the motor cycles, capable of tracking the location using GPS and monitoring the occurrence
of accidents. I have used GSM module, GPS device, microcontroller unit and accelerometer for
developing the cooperative components. In case of detected accident, I have ensured that the
position of the motorcycle was messaged to the family members and the local hospital for
earliest help possible. In addition to that, I have developed threshold algorithm for detecting the
speed of the motorcycle in real time. Apart from that I had the responsibility of designing the
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prototype model for the experimental purposes. I have used Honda motorcycle, for the analysis
and attached the prototype model under the seat for evaluating the performance accuracy.
Further, I have gathered the relevant and sensitive data during the implementation and
experiment for developing the technical report for the project.
CE 2.3: Distinctive Engineering Activity
CE 2.3.1: Theory and Vital Components of the Project
In this project, I have introduced an alarm system along with fall detection from the
motorcycle. I have placed all the hardware components inside the motorcycle seat for hiding
from plain sight and ensuring unhindered operation. I have utilized MEMS accelerometer for
detecting the continuous movement of the vehicle. In case of any accidents, the unnatural
movement is detected by MEMS accelerometer and the information is being forwarded to the
microcontroller. I have further used the GPS module for accurately detecting the vehicle location
at the place of the accident. Through the GPS, I was able to fetch the graphical location of the
accident. I have integrated the device in such manner, that the GPS location is been transmitted
to the microcontroller for providing the required information the GSM module. Through the
application of the GSM module I was able to integrate the messaging facilities for informing the
family members about the accidents. Apart from that, in this project, I have used CO sensor and
temperature sensors ad interfaced them with the microcontroller unit. This allowed the biker to
visualize the temperature and amount of Co gas being emitted from the motorcycle. In addition
to that, I have also used ultrasonic sensors for detecting any obstacle in the surroundings.
CE 2.3.2: Application of Appropriate Engineering Skills and Knowledge
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During the system implementation, phase, I have observed that the after recording the
values of the accelerometer, the exact location needs to be detected. I have therefore, utilized the
technology of GPS fix for determining the accurate latitude and longitude of the accident
occurred. I have further integrated the machine learning algorithm and used a training data set for
determining the roadway types. Through this, I was able to achieve the exact features and types
of read the motorcycle was moving on. Ii have used the accelerometer for gathering the data for
the training set of the algorithm. I have further deployed the prototype model in Honda
motorcycle and processed it for obtaining the raw data about the location and distribute route of
the vehicle. I have further used the three axis accelerometer for collecting the different features
of the road and forwarding the information to the microcontroller unit for processing of the exact
location. I have further integrated the Google Earth for providing the visualization of the
location.
CE 2.3.3: Task Accomplishment and Delegation
During the design and planning phase of the system, I have focused on collecting and
utilizing the positing data in real time. I have therefore classified the post processing of the off
line data required for the position of the motorcycle. In addition to that, I have tested the alarm
system and messaging system of the accident monitoring system.
CE 2.3.4: Technical Problem and Difficulties Faced
Issue: During the initial design of the prototype model, I have used a mobile phone for
detecting the GPS and GSM module within the proposed system. But I have observed that
various other variables were being created by the mobile phones, that has mislead the
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information in various situation. Therefore, I have worked for using the accelerometer sensor of
the mobile phone.
Solution: For integrating the accelerometer, I have selected an android phones with three
axis accelerometer. I have determined that with maximum axis refresh rate, I was able to obtain
3300 Hz and sensitivity range of ±2g/4g/8g. Therefore, based on my theoretical knowledge, I
have ensured that the in case of any movement, the information is being numerically analyzed in
X direction and acceleration is being measured. I have used the acceleration for defining the
regularities in the motion math including, uneven road, bump and rough road. In term of locating
and distinguishing the uneven nature of the road in low speed, I have compensated the speed
based dynamic threshold with the value on the x axis. I have detected the bump in the road in the
condition that two consecutive z axis accelerations are being exceeded by the threshold value.
Through this I was successful in determining the bump in road in both high and low speed of the
vehicle.
CE 2.3.5: Creative Work Strategies
For providing creativeness within the project, I have developed detailed testing
environment for the developed prototype model. I have therefore, characterized the accidents in
two categories based on the nature of the accidents. In the first category I have defined that fall is
influenced by them. And in the second category I have defined that the fall is induced by external
objects or crash. For the fall detection I have used a bicycle instead of motorcycle, for ensuring
the safety of the team members. I have implemented the MEMS accelerometer for evaluating the
accident situation. During the experiment, I have eliminated the inclusion of motorcycle mass
and rider mass. In case of linear fall, I have used the z axis for determining the accident. From
the experiment, I have observed the sampling rate of 60 Hz was found for the accelerometer.
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Furthermore, for the nonlinear fall I have divided the results in two major segments namely the
incidence of hitting the ground and the second was for crashing. For the ensuring the operational
functionality of the developed system, I have conducted the test in 100 sample test in five
different scenario including sudden brake, knobbed surface, normal ride, linear fall and non-
linear fall.
CE 2.3.6: Team Work Done
As I was working with the team of three other members associated with the project, I
have documented each work done by me. In addition to that, I have initiated several meeting
session with the members for discussing about the plan of implementation and evaluating the
project progress. Moreover, in case of any difficulties or issues faced, I have take initiative in
discussing the matter with the assistant professor who has guided me through the successful
completion of the undertaken project.
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CE 2.4: Summary of Project
CE 2.4.1: Overall view of the Undertaken Project
Figure 2: View of Final Prototype developed for accident monitoring
The developed tracking system and MEMS accelerometer was able to provide expected
results and was successful in monitoring the vehicle in case of accidents. Furthermore, the
developed system was successful in determining both the nonlinear and linear accidents with the
application of threshold algorithm and accelerometer. Furthermore, I have tested the prototype
with Honda motorcycle; I have found that the system was successful in sending the location and
accident alert to the emergency numbers included in the prototype.
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CE 2.4.2: My Personal Contribution to Project Activities
I was a working member for the development of the accident monitoring system for
motorcycle. From the past project, I had gained significant experience in the field of real time
speed detection of motor cycle, I have utilized in this project. In addition to that, through this
project I have intensively showed my understanding of circuit design and GPS technology for the
completion of the prototype model.
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