Skip to main content

Vinci Highways and Invision AI light up motorway in Greece

New smart system adjusts road lighting to suit driving conditions and save energy
By David Arminas December 19, 2023 Read time: 2 mins
Vinci says the adaptive lighting system, combined with the energy performance of the LED lights, will reduce annual energy consumption for night lighting by up to 75% (image: Vinci Highways)

The Athens-Patras highway is the first in Greece to have a smart lighting system that automatically adapts the road lighting to the level of traffic

The system along a trial section of the tolled 218km-long highway - also known as Motorway 8 - adjusts the lighting to best suit the driving conditions, according to Vinci Highways, operator of the road. Vinci has committed to achieve operational net-zero emission on its network by 2050.

The system uses artificial intelligence and machine learning to determine the optimal lighting level by processing live data including traffic, weather and road incidents from multiple sources. Constant monitoring of the vehicle traffic at each interchange of the highway allows the system to calculate the total traffic and make forecasts for the next hour. When traffic decreases and predictive traffic remains low, the system progressively reduces intensity of lighting.

The system also includes real-time data from the highway’s weather stations and cameras to immediately increase lighting in case of a change in driving conditions. The system has been set up in a trial along the Elefsina to Corinth section and will be progressively implemented along the entire length of the highway.

Vinci says the adaptive lighting system, combined with the energy performance of the LED lights already set up along the complete length of the Athens-Patras highway, will reduce annual energy consumption for night lighting by up to 75%. It also reduces light pollution for people living close to the motorway.

The adaptive lighting system has been developed in collaboration with the National Technical University of Athens and specialist start-ups including Extrabit, Athens-based predictive weather forecasting company Ex Machina and Invision AI, which provides video-based AI solutions for transit and public safety applications.

Dutch firm Tvilight provided the luminaire controllers and software. 

Extrabit supplied the machine learning algorithm that accurately predicts the number of vehicles in predefined future intervals. The company also provided the communication protocols for interfacing with around 8,000 LED dimmable luminaires, as well as the visualisation and control of the complete system on a web-based platform.

Related Content

  • August 23, 2024
    Data is driving force behind TomTom's intelligent traffic management
    The complexities of modern urban life have put unprecedented strain on transportation infrastructure. Traffic congestion, accidents, and inefficient resource allocation are persistent challenges. However, as Frans Keijzer, Bid Manager EMEA and APAC at TomTom Enterprise explains, a powerful tool has emerged to reshape the way we manage our roads: big data.
  • November 23, 2017
    Spark EV launches telematics solution to remove range anxiety for EV fleet operators

    Spark EV has launched its new artificial intelligence-based journey prediction telematics solution in Cambridge UK to reassure fleet managers moving to electric vehicles (EVs) that they will be able to schedule and complete jobs without running out of charge. It is designed with the intention of reducing range anxiety for managers and increasing the number of potential journeys by 2.8 per day.  

  • July 11, 2018
    Cost benefit: Toronto retimings tame traffic trauma
    Canada’s largest city reckons that it is saving its taxpayers’ money simply by altering the way traffic lights work. David Crawford reviews Toronto’s ambitious plans to ease congestion. Toronto, Canada’s largest metropolis (and the fourth largest in North America), has saved its residents CAN$53 (US$42.4) for every CAN$1 (US$0.80) spent over a 2012-2016 traffic signal retiming programme, according to figures released by its Transportation Services Division. The programme covered 1,275 signals (the city’s to
  • July 19, 2018
    Cost benefit: Toronto retimings tame traffic trauma
    Canada’s largest city reckons that it is saving its taxpayers’ money simply by altering the way traffic lights work. David Crawford reviews Toronto’s ambitious plans to ease congestion Toronto, Canada’s largest metropolis (and the fourth largest in North America), has saved its residents CAN$53 (US$42.4) for every CAN$1 (US$0.80) spent over a 2012-2016 traffic signal retiming programme, according to figures released by its Transportation Services Division. The programme covered 1,275 signals (the city’s