Siemens to run North Yorkshire traffic signal network

Traffic management company Siemens has been awarded one of its first operational services contract to provide traffic signal network management and monitoring for North Yorkshire County Council (NYCC) in the UK. The new contract follows investment by NYCC in new technology and hosted systems combined with the introduction of Siemens Stratos, a cloud-based solution for all traffic management, control and monitoring requirements. As part of North Yorkshire’s Highway Maintenance Service, the County Counc
UTC / July 25, 2016
Traffic management company 189 Siemens has been awarded one of its first operational services contract to provide traffic signal network management and monitoring for North Yorkshire County Council (NYCC) in the UK.

The new contract follows investment by NYCC in new technology and hosted systems combined with the introduction of Siemens Stratos, a cloud-based solution for all traffic management, control and monitoring requirements.

As part of North Yorkshire’s Highway Maintenance Service, the County Council is responsible for the maintenance of 337 installations including 103 junctions, 205 pedestrian crossings and 29 variable message signs. NYCC also maintains an urban traffic control system in Harrogate and Scarborough to monitor and report on operational conditions at 57 sites in Harrogate and 27 in Scarborough.

Additional monitoring of a further 188 sites is undertaken by a combined Siemens remote monitoring system. All these sites and the VMS signs are now on Stratos with all the RMS signs soon to be migrated to Stratos as well allowing the majority of the strategic traffic signal sites and VMS to be monitored from one system.

Linking existing local traffic control, sign and car-park management systems in Harrogate and Scarborough, Stratos provides scalable real-time traffic management, information and control, from basic monitoring to strategic control in a new ITS hosted solution, removing the  need for dedicated servers or client machines

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