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ITS World Congress 2022: PTV Group to present next-generation traffic management

  • PTV’s real-time solution combines machine learning with dynamic traffic modeling  

  • PTV experts to present solutions at various events in Congress program 

  • Company to offer free, daily sessions at its booth, highlighting success traffic management stories from around the world   

  • PTV delegation available for personal meetings at booth #1539 

PTV Optima software combines innovative machine learning techniques with proven dynamic traffic modelling


Karlsruhe / Los Angeles, 13 September 2022. PTV Group, the world’s leading producer of mobility software, will present ground-breaking solutions for real-time traffic management and smart use of data, at the upcoming ITS World Congress 2022 in Los Angeles.  

Between September 18-22, PTV Group will present at the Congress its innovative technology for cities and traffic planners. This technology supports better mobility through real-time data analysis, visualization, modeling, and simulation. 

At booth 1539, PTV Group invites visitors to discover how next-generation traffic management in cities improves road safety, air quality, and sustainability. Future-oriented cities like Vienna, Rome and Taichung already rely on PTV’s real-time technology, which combines innovative machine learning and dynamic traffic modelling. Thanks to this combination, operators manage the entire traffic network and make accurate traffic forecasts up to 60 minutes in advance.  

PTV's booth is located directly opposite the booth of its partner Econolite (#1439). PTV and Econolite joined forces in March 2022 under the umbrella of a new formed holding. In L.A., visitors can now profit from the numerous synergies between the two companies in terms of smart and sustainable mobility solutions. Together, PTV and Econolite will also host a happy hour on Wednesday, September 21 at 4:30 pm. 

PTV experts in the program  

Additionally, PTV Group will be present at the ITS World Congress program: 

  • September 18, 1-4pm: Christian U. Haas, CEO of PTV Group, will speak at the MOD/MaaS Global Forum “Advancing Inclusive, Safe, and Sustainable Mobility in 2022”. He will explore the current state of Mobility on Demand and Mobility as a Service in the global transportation ecosystem.  

  • September 21, from 8am: PTV experts will present real-time traffic management within the session “How Technology Impacts Transportation”:  Chiara Cianella will speak about the “Quantification of the Impact of Big Events on Traffic with PTV Optima”; Lorenzo Meschini will present a methodology to handle actuated signal plans within macroscopic dynamic traffic simulation. 

  • Additionally, PTV offers visitors free in-booth sessions and presentations. For example, on real-time traffic management (September 21, 11am); and on the #transmove project in Hamburg, where PTV develops an AI-based traffic forecasting tool (September 19 and 20, both at 1:30pm). 

For more information, please visit  

To arrange a personal meeting with PTV experts during ITS World Congress, contact Stefanie Schmidt: 


About PTV Group

PTV. Empowering mobility.

PTV Group takes a holistic approach that integrates all aspects of traffic, transport and logistics to create and promote sustainable mobility. The PTV Group provides software solutions and consulting services to empower mobility and transport for a cleaner and smarter future. Its best-in-class software for intelligent traffic management and transport optimization enables decision-makers in politics, cities, industry, and trade save time and money, make roads safer, and protect the environment. PTV’s software simulate and demonstrate today how tomorrow’s mobility, with all its ecosystems and dimensions, can be realized – from strategic transport planning to micromobility for the first/last mile.

The company was established in 1979. Today, approximately 900 employees worldwide work on future-oriented solutions to create intelligent and eco-friendly mobility for everyone.


Media assets

PTV Optima software

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