Skip to main content

New digital CCTV system to monitor traffic flow in Aberdeen

A new US$386,000 (£300,000) network of digital CCTV and automatic number plate recognition (ANPR) cameras, including automated alert systems, are being installed on key routes around Aberdeen, Scotland to monitor traffic flow and journey times.
May 31, 2017 Read time: 2 mins
A new US$386,000 (£300,000) network of digital CCTV and automatic number plate recognition (ANPR) cameras, including automated alert systems, are being installed on key routes around Aberdeen, Scotland to monitor traffic 8243 flow and journey times.


The City Council’s traffic control centre will use the information gathered to respond in real time to incidents, reducing the impact of delay to road users particularly at key locations beside the Aberdeen Western Peripheral Route (AWPR).

Installed by Video Watchman Systems, the system will comprise of cameras and communications, linked to a central monitoring and control system at the traffic control centre.

The camera system will provide extensive coverage of all the key routes to quickly identify congestion and allow traffic control centre operators to implement remedial measures. This could include changing traffic signal timings, issuing traffic information on electronic messaging signs, traffic bulletins to media outlets and information on travel web pages. There is the potential to divert traffic on some heavily congested routes onto less congested routes.

The 16 new CCTV cameras are located at the optimum sites on the road network for monitoring traffic conditions, primarily at the busiest junctions or junctions with the greatest visibility of the corridor and at points where incidents would have the greatest impact on traffic 8243 flow.

In addition to these CCTV cameras for traffic network monitoring, ACC also intends to install ANPR cameras on key traffic routes in and around Aberdeen for journey time monitoring. The journey time information will be used to alert operators when and where journeys are being delayed, which could indicate incidences on the roads network such as a vehicle collision, breakdown or general congestion.

For more information on companies in this article

Related Content

  • Smart signal software ‘has potential for ICM’
    September 26, 2013
    Software developed by researchers from the University of Minnesota for the Smart (Systematic Monitoring of Arterial Road and Traffic Signals) signal system automatically collects and processes data from traffic signal controllers at multiple intersections. It then creates performance measures, including information on the times and locations congestion occurs on a roadway. A new version of the software has been deployed at more than fifty intersections managed by the Minnesota Department of Transportatio
  • London Borough deploys Videalert automated enforcement systems
    July 6, 2016
    Following a successful pilot scheme, the London Borough of Bromley is installing a Videalert automated enforcement system in a bid to increase road safety outside five schools that have been experiencing high levels of inconsiderate behaviour from parents parking on the yellow keep clear areas. It is also deploying unattended CCTV enforcement systems on all its bus lane locations to upgrade the existing manually operated systems and provide automatic capture of offending vehicles’ number plates. The co
  • Developments in signal head lens technology
    February 3, 2012
    Heads and tails Leading manufacturers of traffic signal systems discuss developments in signal head technology as well as some of the legacy issues which affect future deployments Transparent model of Dambach's ACTROS.line technology, showing the bus electronics in the signal head Cowls could be superseded by the greater use of lens technology
  • Huawei’s clearer vision for safe traffic
    August 4, 2020
    Rates of compliance with traffic laws are often linked to the chances of detection. Andrew Watson explains how intelligent traffic management solutions can help change drivers’ behaviour