Skip to main content

CA Traffic journey time system for Newcastle

UK-headquartered CA Traffic is to supply an automatic number plate recognition (ANPR) journey time system to Tyne and Wear Integrated Transport Authority (ITA), to be deployed as part of the Better Bus initiative along key corridors within the Tyne and Wear region in the north-east of the country. CA Traffic will be supplying around 100 Evo8 intelligent ANPR camera systems, each utilising an HD camera, integrated LED illumination, on-board processor with in built ANPR software and a 3G modem for data transm
December 24, 2012 Read time: 2 mins
UK-headquartered 521 CA Traffic is to supply an automatic number plate recognition (ANPR) journey time system to 6962 Tyne and Wear Integrated Transport Authority (ITA), to be deployed as part of the Better Bus initiative along key corridors within the Tyne and Wear region in the north-east of the country.   

CA Traffic will be supplying around 100 Evo8 intelligent ANPR camera systems, each utilising an HD camera, integrated LED illumination, on-board processor with in built ANPR software and a 3G modem for data transmission purposes. In order to minimise street clutter all of the ANPR cameras will be located on existing street furniture. CA Traffic will also be providing a specialised journey time instation suite for data handling.

Covering up to twenty transport corridors, it is anticipated the system will collect data from as many as two million number plates per day and will be fully integrated with the Tyne and Wear urban traffic management and control (UTMC) system in order to make real time traffic management decisions to ease the flow of traffic in the areas covered by the system. In addition to the data being used to derive journey times, historic data may also be used to provide origin and destination information for future transport modelling and planning.

Newcastle City Council is acting as lead authority and the system will be managed and operated by the Tyne and Wear UTMC facility on behalf of the ITA partners which include Gateshead Council, Newcastle City Council, North Tyneside Council, South Tyneside Council and Sunderland City Council.

Related Content

  • February 1, 2012
    Growth of ANPR applications for enforcement, tolling and more
    Automatic number plate recognition continues to find new applications beyond the traditional. In coming years, we can expect the application set to grow significantly Moore's Law has seen to it that computer processing power has improved out of all comparison in the 30-plus years since the first working Automatic Number Plate Recognition (ANPR) system was created by the UK's Police Scientific Development Branch. The attendant increases in systems' capabilities have resulted in ANPR being deployed globally
  • January 20, 2025
    Oxa joins Sunderland AV shuttle programme
    UK city initiative aims to show how AVs can connect people to key destinations
  • October 28, 2014
    Machine vision offers new solutions to old problems
    The transportation sector is set to benefit from a far wider range of machine vision technology. While machine vision techniques have been applied to traffic management applications for some years, in some areas there can still be a shortage of knowledge about what the technology can offer transportation professionals. The image processing and interpretation functions of machine vision enables control room staff to be immediately alerted to occurrences requiring attention which, in turn, enables each person
  • May 4, 2012
    Bus lane enforcement reduces costs, journey times
    The Southcote Lane site in the UK town of Reading is a notorious shortcut for motorists travelling into the town centre. The resultant congestion at the end of the bus lane, when motorists tried to re-enter the main traffic flow, caused congestion and disruption to bus timetables. Reading Borough Council wanted a cost-efficient, effective solution to accurately capture bus lane violations and improve bus travel times. Reading became the first local authority in the UK to deploy Siemens's LaneHawk fully auto