Traffic engineers from the University of Melbourne have joined with Austrian tech firm Kapsch TrafficCom and the Victorian Department of Transport to introduce a world-leading traffic management system using the latest technology to reduce traffic jams and improve road safety at one of Melbourne’s busiest traffic hotspots.
The ‘Intelligent Corridor’ at Nicholson Street in the inner-city suburb of Carlton will cover a 2.5 kilometre stretch of road, and use sensors, cloud-based AI, machine learning algorithms, predictive models and real time-data capture to improve traffic management – easing congestion, improving road safety for cars, pedestrians and cyclists, and reducing emissions from clogged traffic.
Leveraging different types of traffic sensors already installed by AIMES (Australian Integrated Multimodal EcoSystem) the team will fine-tune the Intelligent Corridor over the next three years. The sensors will connect and monitor all parts of the transport environment. Safety metrics will be incorporated in real-time control of traffic signals, derived from traffic safety software developed by Advanced Mobility Analytics Group.
Victorian Minister for Roads and Road Safety, Ben Carroll said the Intelligent Corridor is an important and exciting step for Melbourne.
“I am extremely proud that this world-leading initiative is being undertaken in Melbourne,” Mr Carroll said.
“The University of Melbourne's academic expertise and technological capability, combined with the commitment of the Department of Transport and industry partners, create the ideal conditions for developing a safer, smarter, and more accessible transport future for Melbourne."
AIMES is the world’s first and largest ecosystem for testing emerging connected transport technologies at large scale in complex urban environments. It incorporates over 100 kilometres of road network in Melbourne, bounded by Lygon and Hoddle Streets, and Victoria and Alexandra Parades and receives support from the Victorian Department of Transport.
The Intelligent Corridor marks a significant new phase, providing a new level of monitoring, with sensors on every intersection and a host of initiatives that will create a world-leading traffic management system.
AIMES Director and Professor of Transport Engineering at the University of Melbourne, Professor Majid Sarvi said the Intelligent Corridor will provide a model for cities around the world to reduce the costs of urban congestion. Urban congestion costs the Australian economy $16.5 billion in travel delays every year, according to Infrastructure Australia’s Infrastructure Audit Report 2019.
“In Melbourne alone, 492 people lost their lives in crashes at urban intersections - with more than half of these being pedestrians, cyclists or motorcyclists - between 2006 and 2019. Our Intelligent Corridor will use the latest technology to better manage traffic and make our roads safer for everyone,” Professor Sarvi said.
The project will collect before-and-after data to demonstrate the Corridor’s effectiveness. Its performance will be fine-tuned to improve outcomes on an ongoing basis over the next three years, thus providing important evidence for implementation in other cities.
The Intelligent Corridor will use global technology firm Kapsch TrafficCom's corridor management platform EcoTrafiX.
TrafficCom Executive Vice-President for Asia Pacific, Matthew McLeish said: “From connected vehicles to autonomous driving to integrated mobility management, this technology is laying the groundwork for a sustainable and congestion-free future, utilising the very best in multi-modal demand management technologies such as the Kapsch EcoTrafiX platform.”
The Intelligent Corridor is supported by a $2 million Australian Research Council (ARC) Linkage grant, with contributions from the University of Melbourne and industry partners Kapsch TrafficCom and Advanced Mobility Analytics Group.
ARC Acting Chief Executive Officer Judi Zielke said: “The University of Melbourne, Kapsch TrafficCom and the Department of Transport Victoria, through their cooperation and linkages across disciplines, have taken an idea to reduce traffic congestion to a real-life, real-time application.”
First published on 19 August 2022.
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