ITC571 Project Proposal: Android App vs. Smartwatch Traffic Detection

This document presents a proposal for a comparative survey between Android applications and smartwatches for real-time traffic incident detection. The survey aims to determine the more effective approach for detecting accidents, focusing on factors like response time, energy efficiency, and the ability to locate nearby emergency services. It addresses limitations in existing accident detection systems, such as high costs and lack of precision. The research questions explore the requirements and dependencies of each approach, their energy efficiency in real-time, and their potential for providing efficient tracking systems for ambulances or hospitals. The methodology involves analyzing existing systems and conducting real-time assessments to gather reliable data, with a focus on ethical considerations and future practical implementation. Ultimately, the survey seeks to identify the superior system for accident detection, contributing to the development of more effective and life-saving technologies.

Proposal for ITC571
Student Name and ID
Project area Software and Online Systems
Project name A comparative Survey between Android application and Smartwatch to detect traffic incident in real-time
Keywords GPS, Probe Vehicle, Android, G-Force, Accelerometer, SmartWatch
1. Introduction Background
Information,
Issues, and
Current Solutions
A survey is to be conducted to find out which will be the best option in order to detect
accident that will, in turn, save lives of innocent people. In this two types of approaches are
used. These are an Android Application and SmartWatch. Both of them have the main goal
that prevents an accident. Many other different types of accident prevention methods are
already implemented that are not as compatible and has some limitations. So, in order to
make an efficient system, a survey is conducted. This survey will help in finding which
system is better for detection of the accident with best possible result and also being efficient.
Here I am trying to conduct a survey that will, in turn, give a solid base to the future
development of the project. Further, this survey will also study previously made or built
systems that will in turn help in giving a better insight over that feature that will be the
needed by the system that will be built in future (Asakura, Kusakabe, Nguyen & Ushiki,
2017). The Android-based application will work on GPS location in order to fetch the live
location of the accident. To do this first previously build systems are analyzed to get to know
the working and analyzing the system.
Shortcomings/
limitations in the
current /existing
solutions
The systems that are already present have tried to find accidents and then send the location of
the accident to the emergency contact with the nearest location. There are some issues related
to the system that is present now like low energy efficiency, less precise. In order to
overcome these effects some previously build system is analyzed. One example of present
system to detect accidents is the built-in detection in cars (D'Andrea & Marcelloni, 2017).
This technology has some limitations.
Limitation:
1. The technology is very much expensive and in order to implement it properly series
of analysis test must be conducted.
2. A Simple accident can lead to the activation of the system.
3. The car feature does not use accelerometer in order to detect the motion of the
accident.
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Importance of
solving this
problem
Almost half a million lost lives in road accidents all over the world. With the increase in
automobiles day by day this number is increasing and result in more life lose. To reduce this
accident count the previously built accident detection systems was not very profound. The
limitations of past system could be resolved via this survey. In this survey, both approaches
are measured via different approaches. The main features on which they both will be
measured are:
1. Response time after the impact
2. How they extend the previous technology
3. Energy Efficacy
4. Ability to find the nearest Ambulance, Blood Bank from the victim location
2. The Main aims of
this research
This survey will lay emphasis on finding which technique is better in finding and could be developed in the future
for practical implementation. The Survey is done on an Android application and Smartwatch that will help in
finding the precise location of the victim at the time of accident. Also, what will be the Response time of the alert
and some other secondary features? This survey will be done on real-time systems in order to get more specific
and reliable outcome (Gu, Qian & Chen, 2016).
3. The questions which
need to be addressed in
this research
RQ 1. Illustrate the requirements of Using Android application for the prevention of Accident?
RQ 2. What will be the dependencies of the Android Application in comparison to SmartWatch?
RQ 3. What is the energy efficiency of both of the approaches in Real-Time?
RQ 4. Will the system provide an efficient tracking system for the nearest Ambulance or Hospital?
RQ 5. What will be the approach and future scope of this survey?
4. A Brief Description
of Your Proposal
This is a survey that is done on two different approaches that are, Android application and a Smart Watch that is
going to detect the location of the victim after the impact or the accident. The process of finding out which
approach is best is done by analyzing the previous approach with further analyzing these two systems (Android
Application and Smart Watch). The survey will give a better insight on what system should be used by analyzing it
on several different factors possible (Kinoshita, Takasu & Adachi, 2015). This application is best suited for
vehicles that are in the accident-prone area.
5. Factors affecting the
research and ethical
considerations (if
needed)
This research will be done keeping legal and ethical issues with values that in turn help in preserving the
confidentiality of the information. This survey will collect the data for the analysis from different sources that are
highly reliable. The main focus is to find a better way to implement this survey in practical in the future.
6. The Processor
Methodology of Your
Project
This survey solely focuses on gathering details and finding out the better system form Android application and
smartwatch. To do this a systematic approach will be persuaded. The approach will be to analyze the system one by
one over a single feature at a single time. The previous technique uses GSM and GPS in order to detect the precise
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location of the system.
7. Expected Outcomes After the overall survey, this project would be able to tell which system is best to detect the accident.
Reference list  Asakura, Y., Kusakabe, T., Nguyen, L., & Ushiki, T. (2017). Incident detection methods using probe
vehicles with on-board GPS equipment. Transportation Research Part C: Emerging Technologies, 81, 330-
341. http://dx.doi.org/10.1016/j.trc.2016.11.023
 Kinoshita, A., Takasu, A., & Adachi, J. (2015). Real-time traffic incident detection using a probabilistic
topic model. Information Systems, 54, 169-188. http://dx.doi.org/10.1016/j.is.2015.07.002
 D'Andrea, E., & Marcelloni, F. (2017). Detection of traffic congestion and incidents from GPS trace
analysis. Expert Systems With Applications, 73, 43-56. http://dx.doi.org/10.1016/j.eswa.2016.12.018
 Gu, Y., Qian, Z., & Chen, F. (2016). From Twitter to detector: Real-time traffic incident detection using
social media data. Transportation Research Part C: Emerging Technologies, 67, 321-342.
http://dx.doi.org/10.1016/j.trc.2016.02.011
© DrAbeerAlsadoon 2018_CSU Sydney Study Centre
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