By leveraging billions of connected vehicle data points, Compass IoT data holds the key to constructing more efficient, sustainable, and safer cities for residents while empowering government agencies and private organisations to make informed decisions that enhance road safety, optimize infrastructure, and improve city planning.
Through the integration of advanced data analytics, we are committed to driving innovation and fostering urban environments that are better equipped to meet the challenges of the future.
Together, we are transforming how Aotearoa New Zealand road networks are managed and driving innovation in road safety. Connected vehicle data, combined with transportation expertise, utilises advanced technology to help you visualise and respond effectively. Focusing on providing vehicle-generated insights that help transportation professionals build safer, more resilient cities through integrated solutions.
The study evaluated how sign wordings influence driver speeds. It found that "crash ahead" signs reduced speeds effectively, while "breakdown ahead" signs had minimal impact.
The study used Floating Car Data for proactive road safety analysis in suburban areas, identifying harsh braking, swerving, speeding, and near-misses, which can aid in proactive road safety measures.
The study analysed harsh braking and steering events at 1,200 level crossings to identify near-misses and safety issues, resulting in a report ranking the crossings by the number of near-misses.
The objective of the study was to explore how connected vehicle data can improve road operations for cars and freight. The outcomes indicated that rougher, narrower roads result in slower driving speeds.
Data on vehicle positions, speeds, and usage of features helps identify risks and improve safety decisions.
It offers extensive geographical data and is more cost-effective than traditional methods.
Continuous data collection allows for the analysis of trends and patterns over time.
Helps identify high-risk areas and behaviors, prioritising safety improvements.
Facilitates strategies to eliminate traffic fatalities and severe injuries by identifying and addressing safety risks.
Collecting data without manual observations or sensors makes it efficient.
Informs the design of safer road features like lane markings and signage.
Provides insights into the behaviors of pedestrians and cyclists, mitigating risks for these users.