Skip to main content

Siemens’ Plus+ simplifies signalised intersection wiring

The latest innovation from Siemens comes under the Plus+ banner and encompasses its third generation digitised traffic control system which features distributed intelligence and simplifies cabling. In place of up to 300 wire cores on a single signalised intersection, the Plus+ system uses just four cables arranged in a system of rings, arms and spurs. The four wires, two power (48V) and two data, are used to connect ‘intelligent nodes’ in each traffic light head to be connected to the central controller, re
June 2, 2017 Read time: 2 mins
The latest innovation from 189 Siemens comes under the Plus+ banner and encompasses its third generation digitised traffic control system which features distributed intelligence and simplifies cabling.


In place of up to 300 wire cores on a single signalised intersection, the Plus+ system uses just four cables arranged in a system of rings, arms and spurs. The four wires, two power (48V) and two data, are used to connect ‘intelligent nodes’ in each traffic light head to be connected to the central controller, retaining functionality while minimising wiring and greatly simplifying installation.

Beyond reducing the ducting requirements to a single duct for each run, the ring configuration means that if a cable is severed the power and data can flow the ‘other way’ round the ring to reach the controller and therefore minimise or eliminate outages.  And if a traffic light pole is knocked over, the head(s) it carries will be automatically isolated, allowing the remaining lights to function as normal.

Cost reductions of up to 20% are possible and many existing sensors (loops, push button and so on) can be connected to the system.

The company is already working on pre-wiring traffic light heads in order that electrical installation at the roadside is reduced to connecting only four wires.

For more information on companies in this article

Related Content

  • Daimler’s double take sees machine vision move in-vehicle
    December 13, 2013
    Jason Barnes looks at Daimler’s Intelligent Drive programme to consider how machine vision has advanced the state of the art of vision-based in-vehicle systems. Traditionally, radar was the in-vehicle Driver Assistance System (DAS) technology of choice, particularly for applications such as adaptive cruise control and pre-crash warning generation. Although vision-based technology has made greater inroads more recently, it is not a case of ‘one sensor wins’. Radar and vision are complementary and redundancy
  • Data revolution in real time travel information
    February 3, 2012
    Damian Black, CEO and founder of SQLstream Inc, writes about relational stream processing for real-time intelligent transport systems Almost unnoticed there is a revolution going on in Internet data which is different from anything seen before. It is taking place in sensor data, which research organisation Gartner predicts in 2012 will exceed 20 per cent of all non-video Internet traffic.
  • IP technology the route to efficient multi-agency control rooms
    February 1, 2012
    As IP-based technology makes its presence felt in the control room sector, it makes for greater economies of scale and also offers a migration path for many other traffic management technologies. So says Barco's Guy Van Wijmeersch. Efficient control room collaboration and decision-making is only possible if operators and decision-makers have easy and timely access to information. In many cases, that information also needs to be accessible to multiple users at the same time. This is certainly so in the case
  • Machine vision needs standards to fulfil ITS demands
    May 28, 2014
    No-one should expect the enabling qualities of machine vision to come free of charge but Jason Barnes finds there is still much that ITS stakeholders can do to help reduce costs. After many years of application in high-end solutions for the enforcement and tolling sectors, machine vision is gaining traction in more general areas of traffic management. Nevertheless, those OEMs producing transport-oriented solutions which incorporate machine vision and looking to increase the technology’s share of the ITS mar