The integration of Connected Vehicle (CV) data into Local Area Traffic Management (LATM) schemes is revolutionising traffic management by enabling real-time insights and adaptive strategies. LATM, which focuses on optimising traffic flow and safety in local road networks, traditionally faces challenges like limited data granularity and delayed responses. CV data addresses these issues by providing detailed, real-time information on traffic patterns and driver behaviour, such as speed compliance, braking and acceleration.

This presentation explores how CV data enhances LATM initiatives through interactive dashboards that visualise and interpret driver behaviour and traffic conditions. By analysing real-time data, transport authorities can identify congestion hotspots and design targeted interventions. During implementation, CV data supports optimised resource allocation and infrastructure planning, improving decision-making and efficiency. Post-implementation, advanced analytics enable continuous monitoring and evaluation, allowing stakeholders to assess impacts and refine strategies for ongoing improvement.

Overall, the presentation highlights the transformative potential of CV data in redefining LATM processes, from design to evaluation, fostering safer and more efficient traffic management systems. By leveraging real-time insights, authorities can proactively address traffic issues, optimise infrastructure, and enhance safety. 

This research underscores the critical role of CV data in modernising LATM, offering a data-driven approach to traffic management that adapts to dynamic conditions and improves overall system performance. The findings aim to empower stakeholders with actionable insights, paving the way for smarter, more responsive urban mobility solutions. 

Palvi Bothra, Data Scientist, Compass IoT

Palvi Bothra is a data scientist at Compass IoT who recently graduated with a Bachelor's in Data Engineering (hon) from the University of Technology Sydney (UTS).

Palvi leverages connected vehicle data to transform the transport sector by delivering insights from complex datasets on driver safety, freight movements and various other applications.

With a track record of producing over 500 data extracts and storytelling dashboards, Palvi has provided valuable analytical outputs for government road authorities across Australia, the United Kingdom, and the United States.

Notably, Palvi's data science analysis of driver behaviour contributed to securing a $750,000 contract with Main Roads WA. The insights generated from her work have directly influenced numerous road safety upgrades across multiple regions.