Cross-cutting Issues


Order by : Name | Date | Hits [ Descendent ]
  • A Novel System Using Enhanced Digital Maps And Waas For A Lane-Level Positioning

    Accurate real-time positioning, i.e. at the lane level, is a big challenge for a lot of advanced
    driver assistance systems (ADAS) under study or development. To reach the sub-meter
    accuracy necessary for the lane discrimination, the best from the existing technologies and
    state-of-the-art data fusion algorithms must be used, keeping in mind that the final
    commercial solution will have to be available at an acceptable price for the customer. In the
    frame of the European project CVIS, the LCPC is addressing this issue and this paper presents
    the choices that have been made: EGNOS (the European WAAS) for the main positioning
    technology, a new model of enhanced digital maps compliant with the lane-level objective
    and an innovative particle filter proposed by the LCPC team to merge sensor and map data
    into a unique positioning and map-matching process.

    Laboratoire Central des Ponts et Chaussées

    Presented at the ITS America Annual Conference and Exposition, November 16-20, 2008, New York, New York

  • A Practical Approach To Managing Traffic Congestion Using Air Quality Data

    This technical paper discusses the application of a new ITS tool for air quality and congestion
    management. This tool called TRACE (TRansportation Air quality & Congestion Evaluation)
    will provide roadside air quality and congestion measurement and reporting capability. It also
    will be used to improve transportation management decisions in support of improving air quality
    through efficient traffic management and control of the traffic signals and other ITS devices.
    Additionally, TRACE will provide a forecasting model for planning purposes and an expert
    system to select appropriate strategies to respond to scenarios representing various combinations
    of network congestion and air quality condition. The inputs to the forecasting model are traffic
    data from existing vehicular detectors and weather data for the subject network. The first
    prototype will be field tested at an existing site, where a traffic management platform with
    adaptive traffic signal control system is managing the arterial traffic.


    Paper submitted for publication and presentation at the ITS America’s 2009 Annual Meeting and Exposition

  • A Practical Approach to Truck VMT Fees

    A truck-based VMT fee could replace existing truck highway user fees and offer a robust, long-erm source of user-fee based revenues for highway investment.  Data from the VMT system would make it possible to focus a portion of any net new funds on investments that would improve truck mobility.  A truck-based VMT fee system has advantages over auto-based VMT fee proposals due to a proven low-cost technology and reduced concerns over privacy.

    Delcan Corporation

    Greater Buffalo Niagra Regional Transportation Council

    Calmar Telematics

    Delcan Corporation

    Presented at the 18th World Congress on ITS, October 2011, Orlando, Florida


  • A Predictive Model and Evaluation Framework for Smart Parking: The Case of ParkPGH


    ParkPGH is a smart parking system that uses historical parking and event data in a prediction model to provide real-time information on the availability of parking in eight parking facilities within the Pittsburgh Cultural District. The project’s unique characteristics include the collaborative efforts of funders, academia, nonprofit and for-profit entities that are involved in the project, the environment in which the product is deployed and the richness of the data from which the prediction model and the robust evaluation strategy draw upon. The paper describes the pilot phase of the project along with preliminary results, as well as the next steps to be taken for a full project implementation.


    Presented at the 18th World Congress on ITS, October 2011, Orlando, Florida


  • A Real-Time Demo Prototype to Estimate Link Travel Time and Speed Based on Probe Vehicles on I-70

    This paper presents the findings of a study that demonstrates the feasibility of estimating link travel time and speeds in real-time for a rural, mountainous section of an interstate freeway in Colorado using vehicles instrumented with global positioning system receivers, serving as probes in traffic streams. The system configuration proposed includes a very cost-effective, portable GPS deployment unit, communication links to a PC server, and an integrated prototype system for vehicle tracking, estimating statistics on link travel time and a user interface.

    The section of the I-70 corridor in Colorado selected for this study is located in a mountainous terrain just east of the Eisenhower Tunnel - gateway to the ski resorts, including Winter Park, Vail, and Aspen, from the Denver International Airport. It carries high traffic volume during the ski season and also during the summer months. Currently there is very limited surveillance infrastructure to monitor traffic conditions for this critical corridor. In this mountainous terrain, loop detectors are difficult to maintain due to icy conditions and snow removal practices. Video surveillance is also not feasible due to limited communication links.

    Colorado TransLab - Department of Civil Engineering - University of Colorado

    Colorado Department of Transportation

    Presented at the 11th ITS Annual Conference and Exposition, June 4-7, 2001 Miami Beach, Florida

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