Discover how our solutions transform mobility around the world: Here's a selection of the cities, authorities and companies using PTV Group's software.
Displaying 1 - 21 of 27 matches
Success story
Transforming a busy bus line: A data-driven BRT simulation
Can a Bus Rapid Transit corridor greatly improve service? Microscopic simulations by PTV Vissim and Viswalk in Stockholm reveal surprising insights into travel times, speeds and passenger flows.
Pedestrian Simulation Ensures Smooth Crowd Flow at Grand Palais Paris
As part of the extensive refurbishment of the Grand Palais in Paris, Systematica's consultants were entrusted with optimizing visitor flow and experience.
Macroscopic modelling in PTV Visum and microscopic simulation of passenger flows in PTV Viswalk help to solve capacity bottlenecks in 300 train stations.
Modeling an Efficient and Walk-Friendly Hub-Station for Tel Aviv Metro Lines
In a modeling project, modelers from Tel Aviv analyzed pedestrian flows throughout the Yoseftal Holon hub station to improve overall usability and safety.
Modeling taxi feeder routes to optimize new BRT network
Explore how PTV Model2Go and PTV Visum were used to design taxi feeder routes for Yaoundé, Cameroon, enhancing a planned Bus Rapid Transit network and improving urban mobility.
PTV Group has been selected by ST Engineering Urban Solutions as a subcontractor for Abu Dhabi’s state-of-the-art Multimodal Intelligent Transportation Central Platform.
City of Essen and PTV Group drive digitalization of urban mobility
As part of the international mobility brand Umovity, the company is leading the COMO project to drive forward the development of connected and intelligent traffic management in the city of Essen.
Real-time travel data: Traffic forecast for Germany’s Autobahn
Traffic forecast: Based on comprehensive analyses of traffic data by PTV Group, Verkehrszentrale Deutschland (VZD) regularly provides recommendations to avoid traffic jam peaks.
Taichung optimizes traffic flow and reduces travel times
PTV Optima combines real-time data with a model-based approach for a detailed analysis of the current traffic state and a comprehensive forecast for a period of up to an hour.