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.

For more information on companies in this article

Related Content

  • Beijing to replace all taxis with new energy vehicles
    March 3, 2017
    Beijing is aiming to gradually replace its petrol-powered taxis with greener new energy vehicles to help reduce air pollution starting from this year. The city currently has about 71,000 taxis in total, out of which 67,000 are conventionally powered. It has mandated that all petrol-and diesel-powered taxis being taken out of service must be replaced by electric or liquid petroleum gas (LPG) powered cars. Any new taxis should be electric or other types of new energy cars. The project is expected to cos
  • Mexico implements Indra traffic management technology
    October 2, 2014
    Indra, in partnership with Auneti (Autopista Necaxa-Tihuatlán) and FCC, has deployed traffic management technology in the six tunnels of the new Necaxa-Tihuatlán highway in Mexico. The US$18 million project also includes intelligent transportation systems (ITS) and control and communication systems on the 83 kilometres of highway sections 1 and 2. A new operational control centre equipped with Indra's Horus integrated roadway and tunnel management solution manages traffic along the new road's two sectio
  • Iteris highlights local solutions in San Jose
    June 13, 2016
    Iteris is here at ITS America 2016 San Jose to highlight the company’s ITS solutions in the Bay Area. Santa Clara County leads the charge by using performance measurement systems at the arterial level with real-time Bluetooth data and turning movement count data. By aggregating the count data at intersections and utilising sophisticated algorithms for analysis, Iteris’ system provides speed, flow, and occupancy data for turning movement on the main corridors. Algorithms make short-term flow predictions t
  • Umovity’s AI predictive solutions combine Econolite and PTV technology
    April 23, 2024
    Econolite and PTV Group, under the unified brand Umovity, are exhibiting some innovative, predictive ITS applications. The company will highlight the ongoing software integration developments designed to provide data-driven capabilities that will deliver more sustainable, safer and accessible mobility.