Skip to main content

CTS enters partnership to improve Melbourne’s traffic flow

Cubic Transportation Systems (CTS) has entered an R&D agreement with the iMove Cooperative Research Centre to improve traffic flows in Melbourne, Australia. The $55m government-funded project will consider the interaction of all transport modes to identify blockages in the management of an integrated multi-modal system. The two-year initiative - called the Implementation of a Multimodal Situational Awareness and Operations Regime Evaluation Platform – sees CTS collaborating with the University of Melbou
June 18, 2018 Read time: 2 mins
378 Cubic Transportation Systems (CTS) has entered an R&D agreement with the iMove Cooperative Research Centre to improve traffic flows in Melbourne, Australia. The $55m government-funded project will consider the interaction of all transport modes to identify blockages in the management of an integrated multi-modal system.


The two-year initiative - called the Implementation of a Multimodal Situational Awareness and Operations Regime Evaluation Platform – sees CTS collaborating with the University of Melbourne, Public Transport Victoria, VicRoads and the Transport Accident Commission.

The Australian Integrated Multimodal Eco System (AIMES) at the University of Melbourne provides the data infrastructure behind the project. Cubic’s Transportation Management Platform will be used as the main integration hub.

AIMES is a transport test bed area that comprises 100km of Melbourne roads on the fringes of the central business district. The area will feature up to 1,000 sensors that collect data on vehicle and pedestrian movement and public transport use.

The iMove Cooperative Research Centre is a consortium of 44 industry, government and research partners that are working together to improve Australia’s transportation systems through collaborative R&D projects.

For more information on companies in this article

Related Content

  • Flexible, demand-based parking charges ease parking problems
    April 10, 2012
    Innovative parking initiatives on the US Pacific Coast. David Crawford reviews. Californian cities are leading the way in trialling new solutions to their endemic parking problems. According to Donald Shoup, a professor of urban planning at the University of California in Los Angeles, drivers looking for available spots can cause up to 74% of traffic congestion in downtown areas. One solution is variable, demand-responsive pricing of parking.
  • Cubic: predictive analytics is putting fortune tellers out of business
    November 23, 2018
    The rise of machine learning and artificial intelligence means that fortune tellers will soon be out of business. Ed Chavis takes a behind the scenes look at the world of predictive analytics ver since organisations started taking advantage of insights derived from Big Data, data scientists concentrated their efforts on the ability to make correct assumptions about the future. A few years later, with the help of automation, developments in machine learning (ML) and advancements in the application of a
  • US university investigates smart car tyres
    January 15, 2016
    Researchers at Virginia Tech, Penn State University, and 12 industry partners are collaborating on a US$1.2 million National Science Foundation-funded project to integrate sensors into car tyres, with the aim of providing information on the vehicle’s speed and road conditions. Saied Taheri, an associate professor of mechanical engineering in Virginia Tech’s College of Engineering and the director of the Center for Tire Research (CenTiRe), is the project’s lead investigator. Taheri has been working for
  • Collaboration on next generation intelligent travel research
    May 11, 2012
    Cubic Transportation Systems and the Jacobs School of Engineering at the University of California San Diego (UC San Diego) have entered into a collaborative partnership to research the next generation of intelligent travel technologies for cities. Cubic will contribute US$500,000 over five years to the UC San Diego Jacobs School of Engineering to fund research done by faculty, students and Cubic Transportation Systems staff. The project aims to achieve a better understanding of the application and use of em