Good traffic management is essential for road safety. Traditional traffic signals safely control the light sequencing and allocate the green light depending on pre-defined traffic patterns with the aim of optimising the flow of traffic.
These pre-defined traffic patterns are traditionally controlled by Fixed Time methods where multiple repeating predictions are programmed into the system. It is based solely on historical data regardless of actual traffic conditions.
With ever increasing traffic volumes, unexpected traffic behaviors, and more road users demanding prioritisation on our road networks, effective traffic management is not only getting greater demand, it is also getting more complex. The architecture of traditional traffic signal control systems is not designed to sufficiently accommodate these challenges.
In addition, replacing existing controllers to meet the demands of modern life is not a viable option for many local authorities, due to the high disruption and associated costs. Therefore, advancements in Adaptive Traffic Control solutions are becoming much more of a desired alternative.
Introducing Traffic Management System (TMS)
Dynniq’s Traffic Management System (TMS) is at the core of Urban Traffic Control (UTC) incorporating well-established Adaptive Traffic Control algorithms known as MOVA and SCOOT.
MOVA (Microprocessor Optimised Vehicle Actuation) is a technology for controlling traffic light signals at isolated junctions or stand-alone pedestrian crossings. It is designed to respond to the full range of traffic conditions, from a few vehicles or pedestrians to overloaded junctions, adapting signals as necessary.
The algorithm runs independently at each junction without the need for communicating with a centralised platform. Although the system can be set up to allow a basic form of responsive linking between consecutive junctions, it does not provide the full coordination between multiple junctions. This makes MOVA ideal for junctions and crossings in less densely populated areas.
In contrast, SCOOT (Split Cycle and Offset Optimisation Technique) is a software platform designed to optimize multiple networks of junctions that are close together. It coordinates traffic lights so that traffic can flow optimally across dense urban areas. By maximising the use of live data from vehicle detectors, SCOOT quickly adjusts traffic signal settings in order to reduce delays across larger road networks.
These Adaptive Traffic Control technologies are designed to overcome the limitations of Fixed Time Control as they respond to fluctuations in everyday traffic patterns by adjusting signal timing in accordance with real-time traffic demand and can reduce traffic congestion, delays and improve journey time.
Benefits of TMS
Designed as a Software as a Service (Saas) solution, it enables TMS to be hosted in our data centre so it can be accessed, managed and updated remotely over a secure, cloud-based web interface. This ensures that TMS is easily accessible from any device with a network connection allowing operators to have on demand software to help manage their networks effectively removing the need to engineers to manually recalibrate sites whenever traffic patterns change.
Adaptive Traffic Control responds intelligently and continuously as traffic flows change and fluctuate throughout the day and reduces the need of local authorities relying on costly, less sophisticated signal plans for optimal traffic flow.
In addition, both MOVA and SCOOT can be implemented using existing signalling and loop detection equipment, repurposing current equipment and significantly reducing installation costs and disruption by minimising the level of street works required.
To ensure full compatibility between different manufacturers of signalling equipment, MOVA and SCOOT can be embedded within our Chameleon Outstation Transmission Unit to ensure maximum interoperability between existing equipment and the latest technologies.
TMS has enabled local authorities to implement the most advanced, adaptive traffic management schemes, maximising network efficiency and reducing congestion whilst improving air quality.