Named EventFlow, this new service takes predictive traffic management to the next level, using state-of-the-art AI and machine learning to help cities prepare for sudden or new traffic patterns stemming from unofficial popular events. These are events that are not necessarily part of a city’s official schedule but can still be determined by increased internet or social media activity.
In urban environments, where such events could result in sudden traffic jams and blockages, this AI-enabled capability allows traffic managers to identify and predict sudden event locations and times – and connect directly to roadside infrastructure to deliver important information that informs traffic managers and directs drivers.
Siemens says it’s a level of capability that hasn’t really been seen in the marketplace before but is sure to be utilised and appreciated more as traffic managers grapple beyond planning around traditional 9-5 workday and rush hour traffic schedules. EventFlow will enable them to stay nimble enough to deal with any new changes that may come their way. It’s a new level of flexibility as every city strives to cope with change.
