Road monitoring and anomaly detection using microwave based sensors (2017–2020)

Abstract:
Due to the ever-increasing number of users on our roads, authorities are finding that classical traffic management and law enforcement is becoming less efficient. Institutions responsible for road planning, maintenance and policing have a considerable interest in being able to make informed decisions about the road network. Automated solutions to monitoring roads are the only way to enable affordability in spite of the increasing growth rate. This project aims to develop a low-cost, accurate sensor that will provide the required traffic monitoring information without manual intervention by humans. The sensor will automatically flag events of interest including anomalies like accidents, congestion or transgressions which require law enforcement to intervene. The sensor nodes must be more cost-effective than existing solutions, whilst still providing more information to help provide accurate road usage data. To achieve low-cost, the industry partner's experience in mass manufacturing license plates will be leveraged. Engineers from the industry partner have years of experience in the field of intelligent transport and have extensive experience in running large projects ensuring efficient execution of the project. The industry partner LicenSys through its global corporation has the channels to translate this research into world leading products. Must be no more than 200 words. Please provide a brief Project summary including 1) an overview of the proposed research; 2) the need for the research; 3) the importance of industry collaboration to the Project; and 4) the likely outcomes for Queensland.
Grant type:
Advance Queensland Research Fellowships
Researchers:
  • Lecturer in Signal Processing
    School of Information Technology and Electrical Engineering
    Faculty of Engineering, Architecture and Information Technology
Funded by:
Queensland Government Department of Science, Information Technology and Innovation