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Data analysis - quantify travel time impacts of vehicle crashes at signalised intersections

Brisbane City Council

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Closed Posted: 14 Nov 19. Closes: 04 Dec 19 Available: Semester 1 (Feb - Jun)

Semester 1 2020 project (Feb start)
* UQ students only *

Suited to: final year or Master of IT/Computer Science/Data Science, and final year Electrical / Software Engineering students (UQ). If you are selected, the project will be your final year thesis / Masters project topic so you must be eligible to enrol in the appropriate unit/s during Semester 1 2020.

The successful applicant will receive a $3,000 scholarship + academic credit for enrolment/assessment (4units - UQ ITEE).  

If selected, you must be available to work on the project onsite for 3 days/week during Semester 1 2020 (working around lecture timetable).

APPLICANTS NOTE: you must include your academic transcript/s inside your resume - unofficial transcript for current degree + transcript for past degree - Masters students) + your student ID number.  Combine your resume and transcript/s into one doc/pdf.  We cannot progress your application until you provide this info in your resume.

For UQ ITEE students - you must have a study plan approved before your application can be accepted by CEED - to ensure you can enrol in the correct thesis/project unit for a CEED project. You must make an appointment with an academic advisor to have your study plan reviewed and approved.  

Contact: Dr Alex Pudmenzky -  [email protected] ASAP.

Location: Brisbane City QLD
Categories: Information Technology, Electrical Engineering

Project Background / Description

Every signalised intersection is equipped with a BlueTooth device that records travel time data for vehicles travelling between intersections on the road network. CRU uses this information to understand the location and duration of congestion and to identfy travel time information and monitor trends for key coridors and the broader road network. 

CRU would like to use this data to quantify the travel time impacts that result from different types of crashes at signalised intersections where traffic signal infrastructure is damaged. Examples of this include damage to different types of signal posts or to the traffic signal controller box. 


Brisbane City Council is the largest local government in Australia.

The Congestion Reduction Unit (CRU) was established to tackle congestion across Brisbane's road network.  To achieve this, CRU is responsible for the operation and management of nearly 1,000 traffic signals and other Intelligent Transport Systems (ITS) such as CCTV cameras, Variable Message Signs (VMS) and BlueTooth devices.  

Objectives / Tasks / Project Outcomes

Develop a methodology for analysing the BlueTooth data following a variety of different crash types to quantify the travel time impacts of each crash type. 

The output may be a process, system, or dashboard that will allow the data to be interrogated by Council staff members at a later stage. 

Skills / Experience Required

The key skill required to complete this project will be experience in data analysis and the development of suitable methodologies to complete the objectives outlined above. 

  • Current final year or Masters student in IT, Data Science, Electrical / Software / Telecommunications Engineering, Computer Science
  • Very good oral and written communication skills
  • Good time management skills
  • Ability to work effectively in a team

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