How to Improve Traffic Safety with AI Analytics
Pedestrian and vehicular traffic is a huge part of daily life in every city, impacting everything from quality of life to the local economy. It is essential that all transportation and traffic systems always prioritize safely and efficiency. Unfortunately, the 24/7 management of traffic systems poses a significant challenge for elected officials, city managers, and transit personnel alike.
To be successful, city personnel must be constantly informed of emerging situations, equipped with the right tools to prevent and respond to such events, and able to provide critical services where needed. But using manual methods to accomplish these tasks can be both labor-intensive and inefficient. For example, deploying crossing guards to facilitate safe pedestrian travel requires costly labor resources that cannot be relied upon through all hours of the day and night. Similarly, security personnel cannot be expected to scan all city surveillance cameras for traffic events and vehicles of interest efficiently. As a result, municipalities are wasting valuable time, money, and manpower by manually managing their traffic systems.
ISS’ suite of intelligent analytics powered by Intel are proven to resolve new and emerging traffic challenges by empowering existing video surveillance systems with the ability to autonomously monitor traffic conditions and to detect potentially harmful events. Analytics such as traffic violation detection and license plate recognition automate many otherwise manual processes and allow cities to distribute traffic resources including personnel and funds more efficiently.
Here are examples of how powerful analytics can work together to create Intelligent Traffic Systems capable of keeping cities safer with greater efficiency.