Skip to main content

Cubic and University of Melbourne to partner on multimodal transport

Cubic Transportation Systems (CTS) and the University of Melbourne, Australia are to partner on the development of a National Connected Multimodal Transport (NCMT) test bed, which aims to deliver the first implementation of Cubic’s surface transport management solution worldwide. The NCMT test bed will be an urban laboratory capable of large-scale testing and implementation of emerging technologies in complex urban environments. The testing will explore ways to relieve pressures created by population gr
October 14, 2016 Read time: 2 mins
378 Cubic Transportation Systems (CTS) and the University of Melbourne, Australia are to partner on the development of a National Connected Multimodal Transport (NCMT) test bed, which aims to deliver the first implementation of Cubic’s surface transport management solution worldwide.

The NCMT test bed will be an urban laboratory capable of large-scale testing and implementation of emerging technologies in complex urban environments. The testing will explore ways to relieve pressures created by population growth and traffic increases by using data from traffic, public transportation and parking. The NCMT test bed will also focus on multimodal transportation systems consisting of connected vehicles, roadways, freight, city logistics, public transportation, smart stations, pedestrians and cyclists.

Cubic’s Surface Transport Management Solution forms the core of the test bed by providing an enhanced system for data usage and analysis by transportation planners. Through its cloud-based platform and unique multimodal integration capabilities, Cubic’s solution can connect different systems and data sets to provide planners with a holistic real-time view of travel across the entire network.

This integration of public, private, freight and active transportation information is important in guiding strategic decisions to improve traffic patterns, reduce congestion and revolutionise city planning. It aims to also provide a higher quality of information to travellers about all transportation modes from one personalised account.
UTC

Related Content

  • November 23, 2018
    Cubic: predictive analytics is putting fortune tellers out of business
    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
  • February 3, 2012
    Flexibility, interoperability is key to future traffic management
    Jon Taylor of Faber Maunsell and Tabatha Bailey of Transport for London describe how an unusual mix of traffic practitioners, researchers and industry are working together to build new tools for the future. As we face higher expectations for managing congestion from both citizens and politicians, and as more and more data is becoming available from new sources, our traffic management challenge is changing.
  • November 18, 2014
    Cross referencing data sets reveals now decision support information
    Combining previously unrelated sets of data can provide an in-depth view of travel patterns. "Through the use of analytical tools, Urban Insights seeks to help transportation organisations benefit from the vast amounts of detailed data they collect every day.”
  • January 25, 2018
    Hurdles to MaaS adoption highlighted
    Jack Opiola talks to some MaaS advocates in the US. Cities will accommodate almost 60% of the world’s population by 2025 and technology is outpacing transportation plans and planners - putting extreme pressures upon planners and transportation systems alike. Big data, digital payments, ubiquitous communications, smartphone applications, on-demand travel and autonomous vehicles are all shredding existing transport plans. Never before has the pace of population growth and the tools to address this problem