Traffic Technology Services and Siemens partner on connected vehicle deployment

Traffic Technology Services (TTS) and Siemens USA are to partner on providing services for connected and autonomous vehicle operations near signalised intersections, with the aim of providing automotive, truck, transit OEMs, after-market device manufacturers and navigation service providers with greater access to data for connected vehicle applications. Beginning this month, select Siemens TACTICS ATMS systems, an advanced traffic control hardware and software platform
September 14, 2017 Read time: 2 mins

Traffic Technology Services (TTS) and Siemens USA are to partner on providing services for connected and autonomous vehicle operations near signalised intersections, with the aim of providing automotive, truck, transit OEMs, after-market device manufacturers and navigation service providers with greater access to data for connected vehicle applications.

Beginning this month, select Siemens TACTICS ATMS systems, an advanced traffic control hardware and software platform, will supply traffic signal data to TTS cloud-based services to support connected vehicle applications.

Siemens TACTICS platform is harnessing real-time traffic data which is used in the TTS cloud-based Personal Signal Assistant information service to provide a predicted and current intersection signal status. Every second at every intersection, TTS predicts the signal operations using its patented technology and these predictions and intersection layouts are then provided as data used for autonomous and connected vehicle applications. Siemens traffic data and analytics software enables an effective and secure solution from data capturing to actionable, real-time and measured information processing.

The joint service will be implemented initially in the City of Aurora (Denver area), City of Fargo, City of Fremont (San Francisco area), and East Whiteland and Upper Merion Townships (Philadelphia area).

Location Based Systems Urban Traffic Control

Related Content

  • PTV’s software solutions help cities combat congestion and pollution
    January 25, 2018
    Smart cities must rely on a mobility mix, real-time predictive models and collaborations, argues PTV’s Miller Crockart. Transport is reaching a new frontier and cities are at the forefront of the trend: for many urbanites, mobility no longer equals a privately-owned vehicle. They want on-demand services that cater for their individual mobility needs efficiently and sustainably - whether that is shared bikes or autonomous electric vehicles. Private car ownership will not drop overnight. The smooth
    Read More
  • 5G-Safe project developing road weather services based on vehicle data
    April 21, 2017
    VTT Technical Research Centre of Finland is coordinating the 5G-Safe project, which is part of Tekes’ Challenge Finland competition. It is focused on the identification of local weather and road conditions on the basis of data collected from vehicles, and the sending of warnings to road users. In addition, real-time video and radar data will be exchanged between passing vehicles. Other issues being investigated include the use of data on local road weather conditions to improve the situational awareness of
    Read More
  • Aimsun real-time analytics for traffic management
    August 3, 2015
    TSS-Transport Simulation Systems will be showcasing the Aimsun Online real-time decision support system for traffic management. The system is the analytical engine for high-profile traffic management projects such as the award-winning Interstate 15 Integrated Corridor Management System (ICMS) led by the San Diego Association of Governments (SANDAG) and, in France, the Grand Lyon pilot site for the Opticities project to optimise citizen mobility and freight management in urban environments. The Lyon real-tim
    Read More
  • Autonomous vehicle accuracy mapping from TomTom
    October 8, 2015
    Pride of place on satellite navigation pioneer TomTom’s stand is very high resolution 3D mapping, initially for Germany, which it says provides the 10cm accuracy necessary for highly automated vehicles. Its mainstream mapping is also high definition meaning the image can be used on any size of screen – as visitors can see.
    Read More

Highlighted Content