An automated system for the analysis of road safety and conditions

A new ARC Linkage Projects grant of $240,519, led by Professor Brijesh Verma, at Central Queensland University and with additional support from the Department of Transport and Main Roads, aims to develop an automated system for the analysis of road safety and conditions.

Digital video road data is collected over every state road in Queensland annually, and has the potential to provide a range of value-added products for safer roads. This project will use widely collected digital video road data to develop deep learning based neural network techniques which can learn and classify roadside objects.

The final outcome will be new identification techniques and software which automatically analyses the proximity of objects for road safety, which can be incorporated with existing road data collection systems to reduce accidents, improve road asset management, and make Australian roads safer.

 

Image: digital video road data is collected over every state road in Queensland annually.
Source: Wikimedia Commons (CC BY-SA 3.0).

Original Published Date: 
Thursday, June 14, 2018