Skip to main content

Audi brings ‘green wave’ tech to Düsseldorf

Audi is bringing its Traffic Light Information service to the German city of Düsseldorf to provide drivers with information on around 150 traffic lights. 
By Ben Spencer February 4, 2020 Read time: 2 mins
Audi networks with traffic lights in Düsseldorf (credit: Audi)

Audi says 450 of the city’s 600 intersections will be networked with the Vehicle to Infrastructure service by early summer. 

The solution's green light optimised speed advisory is expected to calculate the ideal speed for catching a ‘green wave’ of traffic lights. It also offers suggestions to gradually reduce speed around 350m ahead of the traffic lights so that drivers and the cars behind can reach the intersection when the lights turn green, the company adds. 

If stopping at a red light is unavoidable, a countdown displays the seconds remaining until the next green phase begins. 

Andre Hainzlmaier, head of development for apps, connected services and smart city at Audi, emphasises the importance of being able to predict how traffic lights will behave in the next two minutes in order to increase traffic safety. 

“At the same time, exact forecasts are the biggest challenge,” he says. “Most signals react variably to traffic volume and continuously adapt the intervals at which they switch between red and green.”

The manufacturer says an analytical algorithm developed in collaboration with Traffic Technology Services calculates exact predictions while also learning how traffic volume changes in, for example, morning commuter traffic or at midday when children leave nurseries and schools. 

Audi's fleet sends anonymised data to a backend system when traffic lights are crossed – the idea is to check whether the actual crossings correspond to the forecast data. 
“Only after this are the traffic lights cleared for the display in the car,” Hainzlmaier adds. 

In future, cities will receive data on whether cars stop unusually often at a particular intersection – or if the average waiting is comparatively long. 

“We aggregate the recorded data into reports that we will make available to the city authorities. Traffic lights can then be given more efficient phasing and traffic will flow better,” Hainzlmaier concludes. 

Audi Traffic Light Information operates in all Audi e-tron, A4, A6, A7, A8, Q3, Q7 and Q8 models that have been produced since mid-July 2019 (the 2020 model year). Pre-requisites include the Audi connect Navigation & Infotainment package and the optional camera-based traffic-sign recognition.
 

 


 

UTC

Related Content

  • October 22, 2014
    Smoothing the path to reducing traffic pollution
    David Crawford reviews a new approach to traffic smoothing. A key objective for the Californian city of Bakersfield’s upgraded traffic operations centre (TOC), which opened in June 2014, is to help improve living conditions in a region with one of the worst air quality problems in the US. The TOC is speeding up the smoothing of traffic flows by delivering faster and better-informed traffic signal retiming and synchronisation.
  • August 6, 2020
    Island Radar: safely crossing continents
    There is a safety flashpoint wherever roads cross over railways. Island Radar is using well-established traffic technology to keep all parties safe from harm.
  • November 30, 2015
    Siemens delivers pedestrian countdown at traffic signals
    First shown at Traffex 2015 in April, production of Siemens’ new Pedestrian Countdown at Traffic Signals (PCaTS) is now fully under way. PCaTS informs pedestrians how long they have to cross the road after the far-side green man signal has gone out. By providing a visible countdown of the time remaining before the appearance of the red man, PCaTS is intended to give pedestrians a better understanding of the time available to complete crossing, reducing anxiety once the green man is no longer displayed. B
  • May 31, 2013
    Data goldmines offer rich pickings
    Astronomical is not too grand a term to describe the current rate of growth in transportation-related data. Massive amounts of traffic related information, such as speed, volume, incidents and weather are being generated every second by road operators and users alike. Big data’ derives its name from the sheer amount and complexity of available raw data. Its potential value is starting to emerge among the intelligent transportation systems community. A gold rush is taking place to capture this value, with da