A prototype application was developed using Threshold Based algorithm technique to classify the events that the driver does during driving, the prototype system design consists of a scoring system to assist the driver with the events detected, the user can pick up the events and explore the feedback to improve their driving skills. The user […]
Update # 11 Project Results
After meeting all the information to structure the document according to IMRAD structure (Introduction, Methods, Results and Discussion) identified key areas that can be categorised to present better the information collected according to the question formulated. Q1 Trends: Specific area and Sector Q2 Metric Tactics: Application-Sensor-Driving Styles Q3 Machin learning: Algorithms – Machine learning – […]
Update # 10 Rearch Terminology
During this research, I found several terminologies related to the applications or purpose of Driving detection Analysis DBA tasks. Then I found myself in the labour of classifying these tasks and defining a name with which I could refer to myself and understand the meaning of the research from which I was extracting the […]
Update # 9 – Research structure
After meeting the information and picking up the literature that help me to answer the research questions, key factors were selected to determine the structure of the research results. To answer the Q1 was divided into two segments where is showed trends for particular areas, and trends in different domains, then to answer Q2 was […]
Update # 8 – Literature review
The research led me to collect useful journals to answer the questions proposed. Then, it was gathered in a table to easily find the patterns and assemble into a single refection, which support me to guide the research in the right direction. Therefore, it was found that the information collected shows that different drivers’ driving […]
Update # 6 – Driving Behaviour Applications
Across my research, I found several applications based on driver behaviour, every application is a small piece of information that can feed systems management such as ITS, the driving events are collected but depending on the application is used different techniques to process the data. Real-time data collection and automatic response are the keys to […]
Update # 5 – Smartphone
I have been searching for literature that helps me to answer the questions, I found numerous research focusing on different smartphone sensors and different techniques to use them. Some read the sensor and use a general algorithm to score the driving style, for example, Driver behaviour profiling using smartphone sensory data in a V2I environment […]
Update # 4 – Trends
I started to research the trends in this area to answer the first question of my study. The first question in my research is What are the trends of the purpose to use smartphones to capture driving behaviour using machine learning techniques? I critically formulate the queries in Google Scholar to collect the publication data […]
Update # 3 – Driving Styles
After collecting several papers related to the collection of data from smartphones for driving performance, I found that there are multiple applications for intelligent transportation systems. For example, in the study Driver behaviour profiling using smartphone sensory data in a V2I environment is demonstrated that capturing the driving behaviour can categorise drivers along roads according […]
Update # 2 – The journey started
This post is just to announce that all my focus is now on this project, I’ll post another advance at the end of this week. I realised that the idea of the research is to analyse driver behaviour, but there are several pieces of literature that analyse this with different kinds of resources, and although […]