Webinar: How the World’s Smartest Intersection is Creating Safer Roads for Everyone
Webinar: How the World’s Smartest Intersection is creating safer roads for everyone
Cities face what seems to be a universal challenge: a lack of data to identify safety hazards, determine what behaviors are causing safety risks, and the ability to measure the impact of their countermeasures. Traditionally, cities have had to measure traffic collisions for several years before and after any safety measures are implemented to accurately quantify the effect of their efforts.
However, while cities wait for data, injuries and fatalities can occur, and crash data doesn’t tell them enough on its own, which is why predictive safety data and analytics are required to prevent them from occurring. When combined with active safety measures, cities can allow intersections to change their behavior to keep citizens safe, while also alerting drivers and connected vehicles of hazards in real time. This is exactly what the City of Detroit did, through the World’s Smartest Intersection.
Join our webinar on Wednesday, August 8 at 1pm EST to learn about how Miovision, and the City of Detroit proved that predictive safety analysis and active safety measures, made Detroit’s streets safer for citizens.
In this webinar you'll learn about:
- Vehicle and pedestrian conflict analysis using computer vision
- Pedestrian signal performance measures (spatial and temporal behaviour and compliance)
- Identifying red-light runners and jaywalkers using video detection
- Intersections that automatically warn drivers of risks though apps like Waze, and vehicles through V2I (DSRC)
- Intersections that actively adjust timing to keep vulnerable users safe
Director of Marketing
Matthew Trushinski is the Director of Marketing at Miovision. He works alongside product experts to provide innovative solutions that build smarter cities. He’s passionate about traffic data, artificial intelligence, and how technology impacts cities and their citizens.
Traffic Engineering Specialist
Sajad Shiravi is a traffic engineering specialist at Mioviosion. He’s earned a Bachelor's Degree in Civil Engineering and received his Master of Science degree in Transportation Engineering from the University of New Brunswick. He is a final year PhD candidate at the University of Waterloo in Transportation Engineering as has been working closely with Miovision to use traffic data and analytics to make roads safer for everyone.