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BMV, a joint venture between BAM Nuttall, Morgan Sindall and VolkerFitzpatrick, has been carrying out major concrete repair and waterproofing work on the M5 Oldbury viaduct, between junctions 1 and 3 near West Bromwich since April 2017.
In April 2019, Highways England (HE) asked for information about the average speed of vehicles travelling through the 30mph enforced roadworks. The speed information was to be gathered for a week and the equipment to collect the information needed to be deployed quickly as the results were needed ahead of an important meeting.
Initially, BMV was considering the use of traditional radar units, which included trailer mounted and lamp column mounted equipment, until they became aware of Clearview’s Insight® Journey Time Monitoring application.
The Insight Journey Time Monitoring application uses crowdsourced data to provide accurate and reliable journey times and average speed information. When the solution was outlined in a discussion with BMV and HE, it quickly became apparent this application could provide all the information needed and it was far more efficient and safe than the alternatives mentioned above.
Unlike radar-based systems, this solution requires zero roadside infrastructure and traffic management. This means it can be up and running incredibly quickly; reduces the risks to roadworkers and negates the costs of deploying hardware at the side of the road. There are further safety benefits as there is no equipment within the roadworks, which could be a hazard to roadworkers or customers.
Clearview offers a range of flexible subscription packages based on the duration and routes to be monitored, which in this case meant BMV only had to pay for one week of data.
The Insight Journey Time Monitoring software has extensive reporting capabilities as standard that facilitate both live network monitoring and historical analysis. The software can send out alerts to notify active users of issues on the network, meaning they can respond quickly where needed.
BMV and HE were delighted with the results and BMV has shared this application with its parent company projects as a best practice approach for monitoring traffic flow through roadworks.
Email us to discuss a similar scheme on your network.
An online application that aids the monitoring, visualisation and analysis of traffic journey times. Removing the need to deploy sensors at the roadside, the application utilises crowdsourced data to deliver reliable and accurate journey time information.
In 2010, Clearview Intelligence installed 868 Hardwired Bi-Directional Road Studs in the Hindhead Tunnel, Surrey – a project commenced by the Highways Agency in 2007 to remove a major source of congestion around the A3/A287 junction
Wireless Vehicle Detection smoothing traffic flow across 14 locations along the M8 M73 M74 motorway network.
Improving user experience of the Tyne Tunnels through flexible journey time monitoring.
Journey Time Monitoring application delivers accurate average speed information through roadworks without the cost, time and risk of deploying infrastructure at the roadside.
With SolarLite Road Studs installed for the illumination of stretches on the M25 Motorway and also between the M2 and M20, Clearview Intelligence installed a quantity of 7,000 Road Studs between junctions 3, 4, 5 and 6 on the M40 Motorway providing ultrabright guidance to motorists around the clock.
Slough Borough Council and their traffic signal consultants Atkins were looking for a more cost effective solution when upgrading multiple traffic signalised junctions along the very busy main A4 dual carriageway
Clearview Intelligence works on a wide variety of projects where ongoing maintenance is of huge importance to ensure continuous and accurate data collection. Good and reliable road network management is of paramount importance in our nation’s capital city where Clearview Intelligence equipment is key in ensuring smooth traffic flows.
Intelligent Hardwired Bi-Directional Road Studs installed at Blackwall Tunnel in Kent to create a contra-flow from the southern boar to the northern boar.
