Intertraffic Amsterdam 2022: PTV Group to highlight data-driven solutions


PTV Group, a provider of software and consulting services for traffic and transportation, mobility, and logistics, has revealed that at Intertraffic Amsterdam 2022 it will be presenting its latest solutions for analyzing, evaluating, and visualizing data and its state-of-the-art tools for shaping sustainable, safe, and efficient mobility.

Visitors at PTV Group’s stand (216, hall 2) during the event, which is being held from March 29 to April 1, will discover how next-generation traffic management helps to improve traffic flow and capacity, and thus increase road safety and reduce emissions.

Future-oriented cities like Taichung, Vienna, and Rome already rely on PTV’s real-time solution which combines machine learning techniques with proven dynamic traffic modeling. Thanks to this combination, PTV Optima enables operators to manage the entire traffic network and make reliable traffic forecasts up to 60 minutes in advance.

Real-time traffic management through machine learning will also be the topic of PTV’s solution presentation, held by Dr Ing Lorenzo Meschini, vice president of product management and engineering real-time at PTV Group, within the summit program (Wednesday, March 30, 12.30pm summit theatre).

Another highlight at PTV’s stand includes PTV’s cooperation with Bosch for better air in cities. By integrating precise emissions data from Bosch into the traffic simulation tool PTV Vissim, the effects of planned traffic measures on vehicle emissions can be easily evaluated.

Eric Lindzus, product owner of air quality solutions at Bosch, and Jochen Lohmiller, principal product manager for micro simulation mobility at PTV, will present the tool in a product demonstration on Wednesday, March 30, at 2:00pm and Thursday, March 31, 11:00am at the PTV booth.

Moreover, PTV Group will be focusing on the topic of multimodal traffic planning and EV charging infrastructure planning. Software solutions help to plan charging points in line with demand while taking power grid capacities into account.

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