Skip to main content

Success of wrong-way driver technology

Technology installed on the toll system in the Czech Republic by Kapsch TraffiCom is identifying seven to ten wrong-way drivers per month, according to says Ctirad Weissmann, director of the National Transportation Information Centre. Kapsch and the Czech Road and Motorway Directorate (ŘSD) received the prestigious Czech Transportation Technology of the Year 2012 award for the project. The system for the identification of wrong-way drivers has been part of the Czech toll system on highways D1, D2 and D5 sin
August 9, 2013 Read time: 2 mins
Kapsch technology is detecting wrong-way drivers every month
Technology installed on the toll system in the Czech Republic by 81 Kapsch TraffiCom is identifying seven to ten wrong-way drivers per month, according to says Ctirad Weissmann, director of the National Transportation Information Centre.

Kapsch and the Czech Road and Motorway Directorate (ŘSD) received the prestigious Czech Transportation Technology of the Year 2012 award for the project.

The system for the identification of wrong-way drivers has been part of the Czech toll system on highways D1, D2 and D5 since January 2012.  Detectors fixed to the toll gates immediately trigger an alarm at the control centre if a vehicle is on the wrong side of the highway.  Operators in the control centre use surveillance cameras to locate the vehicle and alert the police and emergency services.  Variable message signs display a warning to other drivers.

Weissmann says the system has proved highly effective in curtailing the consequences of any travel in the wrong direction on the local highways.

For more information on companies in this article

Related Content

  • Machine vision offers new solutions to old problems
    October 28, 2014
    The transportation sector is set to benefit from a far wider range of machine vision technology. While machine vision techniques have been applied to traffic management applications for some years, in some areas there can still be a shortage of knowledge about what the technology can offer transportation professionals. The image processing and interpretation functions of machine vision enables control room staff to be immediately alerted to occurrences requiring attention which, in turn, enables each person
  • Wrong-way vehicle detection pilot project under way Florida
    October 20, 2014
    Florida’s Department of Transportation (FDOT) has taken action against would-be wrong-way drivers at 15 interchanges on the state’s turnpike system, with a US$400,000 pilot project designed to detect, alert and potentially deter them. The project includes enhanced LED wrong-way roadway signs on the ramps and electronic vehicle detection equipment that are designed to quickly notify law enforcement and authorities. It is intended to study the effectiveness of these traffic safety devices that are currentl
  • Sensor solutions cuts maintenance and emissions
    December 8, 2014
    The new raft of sensor technology can provide cost savings as well as additional functionality, as David Crawford discovers. Austria’s third-largest city, Linz, with a population of around 200,000, is recording substantial savings in its urban tram network within 18 months of introducing a new, high-technology approach to its public transport management. Tram, bus and trolleybus operator Linz Linien forms part of city utilities management company Linz AG, which has been carrying out a wide-ranging Smart Cit
  • Worldwide contract wins for Kapsch
    December 3, 2012
    Kapsch TrafficCom IVHS is to supply the Texas Department of Transportation with the company’s IDS 2.0 integrated incident detection system for the Washburn Tunnel in Houston, Texas. The non-invasive detection system will be linked to 14 fixed roadway cameras for detection of incidents in the two-way vehicular tunnel and up to six infrared intrusion detection cameras in the ventilation tunnel, enabling tunnel operators to provide cost-effective continuous 24/7 surveillance and monitoring. In South America, K