Travel Behaviour Modelling using Data from smart mobile applications

Applications are invited for the post of Graduate research student for Flagship Research Grant Scheme “Data Analytics, Modelling and Visualisation” under Taylor’s University’s sponsored research project.
 
Project Duration: 3 years
Project Code: TUFR/2017/004/01
Project Title: Travel Behaviour Modelling using Data from smart mobile applications
 
Brief of Project:
Kuala Lumpur exhibits all the characteristics of a congested city. Ever increasing road traffic leads to congestion that causes air pollution that affects human health. The car exhaust contains a number of greenhouse gasses that influences climate change. Malaysia has initiated several measures to combat this situation such as car-pooling, an improvement in public transportation as well as transport policies. However, these measures have not brought any significant improvement. The number of vehicles continue to increase. Smart mobility approaches hold the key in getting out of this vicious cycle. These approaches help cities in reducing traffic congestion; improve human health and make their cities green. Changes in attitudes and social behaviour are needed to support and implement new solutions and policies.
 
In this research, a study on current social behaviour of urban Malaysians towards the use of transport will be carried out. The study will include their perception towards transport and climate change, their travel habits, their choice of transport and the issues pertaining to transport and travel patterns. Information Technology will be used to help in this research, such as Big Data techniques will be applied to conduct the analytics. Data will be collected in two-folds: (a) Through an online survey and (b) Using Mobile device to track travel behaviour. All these data will be analysed using Big Data Techniques and a "Malaysian Urban Travel Behaviour" model will be conceptualised. Based on the outcomes of these analyses, a framework will be proposed to drive smart mobility programmes.
 
In Malaysian Cities, change in behaviour will be a key driver in creating Smart Cities. Mobile prototype Apps will also be developed to help Malaysian to change their travel behaviour. Information Technology will be used as one of the key tools when proposing the framework.
 
The expected outcomes of the project are the folllowing:
  1. A model for “Travel Behaviour” among Malaysian Urban Road Users
  2. A framework to promote behavioural change among urban road users to improve traffic and pollution.
 
Designation:
PhD Student - two;
Master’s Student – two
 
 Qualifications/ Requirements:
This project will require students to gather data from various sources, such as mobile apps, survey and through literature review. Computer Science candidates must be able to develop mobile apps and be able to learn Big Data analytics using Hadoop Ecosystem. Some knowledge in statistics is expected.
We are looking for candidates who have knowledge in algorithms, analysis, and modelling, analyzing and visualizing data using software tools with some experience in working with data from databases. Programming knowledge in Python, C or Java would be preferred.
 
 
Stipend and Benefits:
Students are encouraged to apply for PhD scholarship (applicable for PhD students with 100% tuition fee waiver and stipend) or Research scholarship (applicable for both Master’s and PhD students with 75% tuition fee waiver and stipend). Refer to ‘Postgraduate Funding’ for eligibility, application and selection details for the scholarships. Successful candidates who do not qualify for the above-mentioned scholarships will be funded through a Graduate Student Assistant Scheme with a monthly stipend of RM1800 for Master’s and RM 2500 for PhD. Students will be enrolled in PhD (Computer Science) and MSc (Computer Science) under the School of Computing and IT.
 
Job Description
PhD Candidate:
Candidates with a Master’s degree in Computer Science or related to Computing or any other equivalent qualification with a keen inclination to do research. Potential candidates should have knowledge in algorithms, algorithm analysis, modelling, analyzing and visualizing data using software tools with some experience in working with data from databases, and geographic information system. Successful candidates are expected to work towards their Doctoral degree and participate actively in research and publication with the group.
 
Master’s by Research Candidate:
 
Candidates with a Bachelor’s degree in Computing or in the area of Science and Technology or related to Computing or any other equivalent qualification with a keen inclination to do research. Should have a CGPA of 3.0 or better. Preference will be given to candidates who have some knowledge in algorithms, modelling, analyzing and visualizing data using software tools, and good in programming using C, Java or Python . Successful candidates are expected to work towards their Master’s degree and participate actively in research and publication with the group
 
Contact:
Interested candidates can directly contact Associate Professor Dr David Asirvatham with their CV and research proposal via e-mail (david.asirvatham@taylors.edu.my).
 
Dr. David Asirvatham
Head, School of Computing and IT,
Faculty of Built Environment, Engineering, Technology & Design,
Taylor’s University,
Malaysia.