Skip to main content

Polish city plans large-scale ITS system

The city of Łódź, Poland, has announced plans to install a new intelligent transport system that will control traffic flow and give priority to public transport. Thought to be the largest intelligent transport system project in Poland, the US$24.9 million system will monitor 230 intersections in the country’s fourth-largest city and send data to a new operations centre via 500,000 km of copper cable laid through 50 kilometres of cable ducts. Around 2,000 traffic signals will also be installed around
August 18, 2014 Read time: 2 mins

The city of Łódź, Poland, has announced plans to install a new intelligent transport system that will control traffic flow and give priority to public transport.

Thought to be the largest intelligent transport system project in Poland, the US$24.9 million system will monitor 230 intersections in the country’s fourth-largest city and send data to a new operations centre via 500,000 km of copper cable laid through 50 kilometres of cable ducts.

Around 2,000 traffic signals will also be installed around the city, with 130 surveillance cameras and 30 licence plate recognition cameras operating at intersections to monitor the flow and speed of traffic.

New electronic passenger bulletin boards will appear at bus stops, and nine electronic boards installed by main roads will display real-time information to drivers on traffic jams and delays. At a new operations centre, staff will be able to decide when and if to change traffic lights to dictate flows of traffic.

The Łódź Department of Roads and Transport says that the primary purpose of the new system is to make urban bus and tram travel more efficient. Work will begin in early September and is expected to finish at the end of 2015.

Related Content

  • ITS need not reinvent machine vision
    October 29, 2014
    Machine vision techniques hold the potential to solve a multitude of challenges facing the transportation sector Optical Character Recognition (OCR), the base technology for number plate recognition, has been in industrial use for more than three decades. It is a prime example of how, instead of having to start from scratch, the transportation sector can leverage and adapt the machine vision expertise already used in industry in order to provide robust solutions with new capabilities. “The real val
  • Predictive analytics aid Cologne’s congestion management
    January 17, 2013
    The City of Cologne, Germany, and IBM have completed a smarter traffic pilot to predict and manage traffic flow and road congestion in the city. The pilot demonstrates how the city of Cologne can anticipate, better manage, and in many cases, avoid traffic jams and trouble spots across the city using analytics technology. Germany’s fourth largest city, Cologne has a population of just over one million, is a retail centre, hub for trade shows and a cultural center with many museums and galleries. The increas
  • GMV system upgrades Cyprus's buses to improve traffic conditions
    December 22, 2017
    Cyprus's Transport and communications minister, Marios Demetriadis, travelled onboard one of the country's modernized buses fitted with GMV's fleet-management system to provide riders with real-time, bus stop and status information and improve the region's public transport services. This equipment has been installed in two-thirds of the 790 vehicles and will include fleets from Nicosia and Limassol in December.
  • Detection analysis technology successfully predicts traffic flows
    February 3, 2012
    David Crawford investigates new detection analysis technology from IBM. Locations on both the East and West Coasts of the US are scheduled for early deployments of IBM's new Traffic Prediction Tool (TPT) statistical analysis model for the fine-time resolution and near-term prediction of road flow conditions. Developed by IBM's Watson Research Laboratories, TPT is designed to analyse data from the the key detection indicators - average vehicle volumes and speeds passing a location in a given time interval -