Overview
To achieve Vision Zero, a proactive approach to Road Safety is critical. The reliance on crash data limits agencies with little insight into the root cause and unreported incidents. Often the process of making road safety improvements is a reactive one, rather proactive using data based on where accidents might occur next.
Viva’s AI computer vision technology gathers accurate and detailed, 24/7 real-time multimodal data. Behavioral trends such as speed and tracks in addition to interactions between road users through Near Miss can be identified – data that’s imperative for creating a safer network for all.
Near Miss
A near miss event is an almost-accident that does not result in human injury, environmental or equipment damage. A cluster of near misses at a location can be an indicator of underlying danger. Viva’s Near Miss feature can detect the most common types of near miss interactions.
Viva’s Near Miss detection capability combines road user speed and path datasets to identify near miss events and their root cause. Near Miss provides agencies with real-time behavioral insights to guide cost-effective investment, based on empirical evidence. Learn more
What can Smart Road Safety technology be used for?
Intervention – Track changes before and after road interventions to ensure the right road hazards are being tackled and interventions are meeting their objectives.
Near Miss incidents and trends – Access to highly accurate data to identify and analyze Near Miss trends and patterns over time.
Speed limit adherence – Identify key areas, such as crossings with heavy pedestrian traffic near schools, to enable incident prevention and encourage proactive decision making.
Smart investments and funding – Ensure budget is invested strategically at locations that are identified as posing the greatest risk to road users based on Near Miss data.
Establish benchmarks – Identify the relationship between Near Miss events and reported accidents to assess locations that are unsafe and likely to lead to accidents.
