Traditionally, road safety analysis relied mainly on historical crash data. Unfortunately, this approach is reactive, in other words, crashes need to occur before they can be prevented. Proactive approaches to road safety, such as traffic conflict techniques, have historically been labor-intensive, as they were based on human observation. With recent advances in technology and video analytics, including developments in computer vision and machine learning, it has become easier to detect and quantify areas of risk before crashes occur. These advances present promising potential for wide-scale implementation and could significantly improve road safety.
Join RoadBotics in supporting the ITS America Webinar:
Thursday, February 9th, 2017
2:00 pm to 3:00 pm ET