Kapsch TrafficCom to provide toll system for US express lanes project

Kapsch TrafficCom has been awarded a contract by I-77 Mobility Partners to provide the toll system and system integration for the Interstate 77 Express Lanes project in Charlotte, North Carolina. The contract includes the design, installation and ongoing maintenance of the project’s field-level systems and is one of the first toll facility construction projects in Charlotte, intended to use modern managed lanes to relieve traffic congestion and provide reliable travel times, while also offering drivers a
January 10, 2017 Read time: 2 mins
4984 Kapsch TrafficCom has been awarded a contract by I-77 Mobility Partners to provide the toll system and system integration for the Interstate 77 Express Lanes project in Charlotte, North Carolina.

The contract includes the design, installation and ongoing maintenance of the project’s field-level systems and is one of the first toll facility construction projects in Charlotte, intended to use modern managed lanes to relieve traffic congestion and provide reliable travel times, while also offering drivers a choice in commuting options.

Kapsch will design and deploy all tolling and traffic management hardware and field systems, including the toll collection system (TCS), intelligent transportation system (ITS), and network communication system. As part of a fully-automated managed lanes setup, these integrated components will enable the price of the express lanes to adjust according to traffic volume. Drivers can choose to pay the current rate for more reliable travel time, or remain in the general purpose lanes.

The tolling equipment will also include the new Kapsch vehicle detection and classification (nVDC) sensor, which uses stereoscopic video to track and classify vehicles through the entire toll zone, and correlates with tag reads, without the need for in-road sensors.

The express lanes are set to open in October 2018.
Charging, Tolling & RUC

For more information on companies in this article

Related Content

  • USDoT pilots show win-win potential for connected vehicles
    December 19, 2017
    Pete Goldin discovers the state of play with connected vehicles trials in the US and the impact of Hurricane Irma on Tampa’s pilot. The US Department of Transportation’s (USDoT’s) connected vehicle (CV) pilot sites have moved into phase 2 of the deployment programme– design, build, test and, maybe most importantly, collaborate.
    Read More
  • Integration of travel payment and information closer to reality
    January 7, 2013
    Integration of travel payment and information is bringing utopia in management of transportation as a single intermodal system is closer to reality. Larry Yermack writes. For decades, transportation planners and ITS visionaries all believed that transportation would not be fully optimised until it could be managed as a single intermodal system. Relationships between modal operators left this more in the dream category than reality. However, the steady march of advances in payment technology have brought us
    Read More
  • Coventry City Council chooses Siemens for traffic signal refurbishment project
    October 26, 2017
    Siemens has been awarded a contract by Coventry City Council (CCC), through the National Productivity Investment Fund, to design and refurbish traffic signal equipment and systems at nine signalised junctions in the region. CCC is renewing life-expired traffic control equipment with the latest designs and management systems to improve network performance and reliability and reduce maintenance costs.
    Read More
  • Machine vision - cameras for intelligent traffic management
    January 25, 2012
    For some, machine vision is the coming technology. For others, it’s already here. Although it remains a relative newcomer to the ITS sector, its effects look set to be profound and far-reaching. Encapsulating in just a few short words the distinguishing features of complex technologies and their operating concepts can sometimes be difficult. Often, it is the most subtle of nuances which are both the most important and yet also the most easily lost. Happily, in the case of machine vision this isn’t the case:
    Read More

Highlighted Content