The Dutch Talking Traffic program contributes significantly to the discourse on Intelligent Transport Systems (ITS) by addressing the critical aspect of data quality control in deploying Cooperative Intelligent Transport Systems (C-ITS) services at scale. This presentation highlights a three-year journey of the Dutch Talking traffic Program, where data quality control evolved from initial quality arrangements to continuous data quality control including KPIs, quality control policies, and diagnostics within the program's ecosystem.

 In 2023 GHD were engaged by DTP to evaluate  Safe Travel in Local Streets (STiLS) installations in Corio-Norlane and South Geelong to confirm if the program had indeed delivered “safe travel”. Connected Vehicle Data (CVD) was used to evaluate the program comparing driver behavior before and after traffic calming devices were installed. The approach was able to measure safety improvements from installations and residual risk, providing a powerful new way to prioritise limited road safety funding. 

A revolutionary approach creates a realtime digital replica of your road network, fueling AI-enhanced ITS  applications, ensuring your traffic management is at the forefront of innovation and efficiency. There are three pivotal objectives: 1. Optimize Traffic Flow by providing deep insides of road user movements and analysis in real-time 2. Increase Road Safety especially
for vulnerable road users (VRU) like pedestrians and cyclists 3. Enhance Autonomous Driving by providing an extended environmental cognition from the road-side perspective.

Traditionally, inspections of the road network occur 2-3 times per year or in response to customer complaints. This approach means council repairs are reactive, often leading to road defects going undetected and increasing the cost of repair.  Asset AI® is a new digital tool being trialled by New South Wales councils. Asset AI® enables councils to detect road defects early, and to streamline and accelerate road maintenance, improving the safety of road users.