PTV Group opens Mobility Lab

In cooperation with the City of Karlsruhe, Germany, PTV Group has established a Mobility Lab, where various traffic planning and model solutions will be linked to one another and to other solutions in order to try out new ideas and approaches as well as their effects on cities and regions worldwide.
June 26, 2017 Read time: 2 mins

In cooperation with the City of Karlsruhe, Germany, 3264 PTV Group has established a Mobility Lab, where various traffic planning and model solutions will be linked to one another and to other solutions in order to try out new ideas and approaches as well as their effects on cities and regions worldwide.

From real-time solutions for traffic and transport planning to new, need-based mobility services (Mobility as a Service), the company hopes that the mobility lab will make a contribution to developing Karlsruhe into a smart city and enable future-oriented solutions to be developed for other cities.

The heart of the Mobility Lab is the Karlsruhe traffic management system based on PTV Optima software. In this system, based on a down-to-the-hour transport model of the city of Karlsruhe, the PTV online detector data is provided with the traffic planning software. It comes from the 189 Siemens city traffic control system. In addition, data is provided by various commercial data suppliers such as 7643 Here, 163 Inrix, MotionLogic and 1692 TomTom. Linking of these models and data in the PTV Optima real-time traffic management system provides a range of functionalities for transport planners.

Action scenarios can also be developed in the Mobility Lab to react to various incidents, by changing the service offerings, or adjusting traffic signal programs or coordinating them to provide a ‘green wave’. The switching of variable message signs and the influencing of traffic demand through messages on the radio, internet or in navigation systems can also be modelled, while the effects of various scenarios can be simulated online in order to select the best course of action.

GIS/ Mapping & Location Based Systems Urban Traffic Control

For more information on companies in this article

Related Content

  • Mobilising data for the future of urban transport
    August 8, 2018
    It's not just gathering the data that's important, says Johan Herrlin - it's making sure that transport organisations share it with one another that will determine travellers' satisfaction. Data is transforming the way we move around cities, from family car journeys to the daily train commute. Gone are the days when travelling from A to B meant remembering your AA map and having to ask for directions at regular intervals. If you were trying to navigate London as a tourist a mere decade ago, it required
    Read More
  • Canada looks to HOT lanes to tackle congestion
    March 16, 2017
    David Crawford sees an evidence-based approach to HOT lane conversions. Canada’s first high occupancy toll (HOT) lanes opened on 16 September 2016 as a pilot on a 16.5km section of existing high occupancy vehicle (HOV) lanes running in both directions along Toronto’s Queen Elizabeth Way. Promised in two recent budgets
    Read More
  • Transport in the round
    October 13, 2015
    The ITF’s Mary Crass tells Colin Sowman why future transport demands will require governments to overcome the silo effect of individual single-modal authorities. The only global multimodal transport policy organisation,” is how Mary Crass describes the International Transport Forum (ITF), which is housed at the Organisation for Economic Cooperation and Development (OECD). As head of policy and summit preparation at the ITF she says: “All other organisations are either regional or have a modal focus, we cove
    Read More
  • Data revolution in real time travel information
    February 3, 2012
    Damian Black, CEO and founder of SQLstream Inc, writes about relational stream processing for real-time intelligent transport systems Almost unnoticed there is a revolution going on in Internet data which is different from anything seen before. It is taking place in sensor data, which research organisation Gartner predicts in 2012 will exceed 20 per cent of all non-video Internet traffic.
    Read More

Highlighted Content