Developing a methodology for converting container weights into axle loads
Location: Surry Hills, Sydney, NSW with field work at Port Botany
Duration: 5 months
Keywords: Mathemetical Modelling, Business Analysis, Optimisation
In mid 2018, new Chain of Responsibility (CoR) rules will come into force in Australia under the National Heavy Vehicle Regulator. Drivers and operators have traditionally been the focus of road laws. However, breaches are often caused by the actions of others. Under chain of responsibility (CoR), complying with transport law is a shared responsibility and all parties in the road transport supply chain are responsible for preventing breaches. This approach recognises the effects of the actions, inactions and demands of off-the-road parties in the transport chain.
Cindicium’s aim is to improve safety by reducing overloaded containers travelling by road. There are almost no practical options for most operators to comply with these requirements. Ideally the axle weight, centre of gravity etc. should be known before the vehicle is allowed onto a public road. This project will be conducted in a variety of locations, especially Port Botany, and with organisations ranging from start-ups to large corporates to industry bodies.
Research to be Conducted
- Investigate the relationship between the container weight and the axle loads experienced on the trucks and trailers.
- Test the hypothesis with field measurements and create a robust mathematical model that translates into a simple database.
- Develop a method to capture the truck/trailer characteristics into the model with little or no labour- automated is preferable, and initiate a field trial of the system.
For this project, we are looking for PhD students with:
- Good analytical and mathematical modelling skills
- Programming skills or good excel skills
- Laboratory especially field work
Aim to have a stand-alone computer model, that when validated, will be integrated into Cindicium’s existing systems. Also beyond the scope of this project is the opportunity to be involved in the transfer the model into a commercial platform (Azure) and assist with implementation via employment.
The intern will receive $3,000 per month of the internship, usually in the form of stipend payments.
It is expected that the intern will primarily undertake this research project during regular business hours, spending at least 50% of their time on-site with the industry partner. The intern will be expected to maintain contact with their academic mentor throughout the internship either through face-to-face or phone meetings as appropriate.
The intern and their academic mentor will have the opportunity to negotiate the project’s scope, milestones and timeline during the project planning stage.
To participate in the APR.Intern program, all applicants must satisfy the following criteria:
- Be a PhD student currently enrolled at an Australian University.
- PhD candidature must be confirmed.
- Applicants must have the written approval of their Principal Supervisor to undertake the internship. This approval must be submitted at the time of application.
Internships are also subject to any requirements stipulated by the student’s and the academic mentor’s university.
28 February 2018
INT – 0377