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  • Applying The Network Analysis Methodology To Traffic Incidents In Transport For London

    With most of the London road network operating near capacity for long periods each
    day, traffic incidents have the potential to cause delays on a large area of the network
    for  prolonged  periods  thereby  reducing  the  reliability  of  the  network.  It  is  therefore
    vital  to  manage  the  impact  of  traffic  incidents  in  real-time  and  use  analysis  of  past
    events  to  continually  improve  operations.  The  Network  Analysis  Methodology,
    developed  by  the  London  Traffic  Analysis  Unit  in  Transport for  London,  provides  a
    problem orientated approach to analysing the root causes of traffic disruptions and the
    impact  of  operational  response.  Similar  to  the  difficulties  of  ITS  benefit  evaluation,
    analysing  road  traffic  performance  requires  not  only  accurate  and  reliable  data,  but
    also  an  understanding  of  the  mechanisms  of  a  complex  organisation.  It  is  therefore
    useful to look at the importance of traffic incident performance analysis for different
    levels  of  areas  within  the  organisation  and  external  stakeholders.  For  example,
    periodic  scanning  for  problem  locations  and  times  and  site  specific  response
    evaluations  are  useful  for  the  London  Traffic  Control  Centre,  whereas  longer  trend
    analysis and benefit reporting is useful at a more strategic level. This presentation will
    show  traffic  analysis  examples  using  the  Network  Analysis  Methodology,  the
    limitations  and  learning  from  the  process  and  the  way  forward  for  Transport  for
    London.

    Transport for London


    Presented at the 15th World Congress on Intelligent Transport Systems, November 16-20, 2008, New York, New York

  • Architecture Research for Highway Network Management

    Ministry of Transport of the People’s Republic of China (MOT) has decided to preliminarily
    establish national highway network management and emergency management system
    (HNMEM) during the ‘eleventh five-year’ plan (2006-2010), including the national one and
    five provincial demonstrations, to improve highway efficiency, safety and emergency
    response and provide better travel service to the public. Architecture for HNMEM, including
    function lists, logical architecture, and physical architecture, is proposed. And as one of the
    provincial demonstration under construction, Beijing Highway Network Management and
    Emergency System is introduced.

    National Centre of ITS Engineering and Technology

    Beijing Municipal Roadway Administration Bureau


    Presented at the 15th World Congress on Intelligent Transport Systems, November 16-20, 2008, New York, New York

  • Arterial Travel Time Using Magnetic Signature Re-Identification Theory Of Application and Deployment

    An Arterial Travel Time solution has been developed that provides high vehicle match rates
    while maintaining complete user privacy. The system re-identifies the magnetic signatures
    from vehicles as they pass over in-pavement sensor arrays at different points of interest. The
    system outputs the complete and accurate distribution of travel times for the arterial, even in
    the presence of signalized intersections.
    This paper presents the theory of application of this Arterial Travel Time solution, a review
    as to the importance of vehicle match rates, the ground truth methodology used to verify
    performance and a review of its deployment by San Diego Association of Governments
    (SANDAG) in Chula Vista, California.

    Sensys Networks

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

  • Assessment And Demonstration Of Weigh-In-Motion (Wim) Technology As A Pre-Screening Tool

    Weigh-in-Motion (WIM) technology is a critically important integrated component of
    roadside commercial vehicle electronic screening (e-screening) based systems. Using WIM
    technology for high speed mainline commercial vehicle pre-screening is a relatively new
    application for this equipment. Consequently, verified performance data and real world
    based field results, particularly comparative, for important factors such as system life cycle
    costs can be difficult to obtain. New York State Department of Transportation (NYSDOT) in
    partnership with the I-95 Corridor Coalition, Federal Highway Administration (FHWA), and
    Federal Motor Carrier Safety Administration (FMCSA) are assessing the different types of
    commonly used technologies that are used in this application. NYSDOT is incorporating
    WIM and other devices into its integrated e-screening system to provide benefits to numerous
    program areas within the department.

    New York State Department of Transportation


    Presented at the 15th World Congress on Intelligent Transport Systems, November 16-20, 2008, New York, New York

  • Assessment Methodology For Demonstration Planning In Cooperative Infrastructure

    This paper describes the methodology for the assessment of cooperative systems and driver
    behaviour within the European integrated project COOPERS project. The objective of
    COOPERS is to enhance traffic safety through the influence of driver behaviour with timely
    and locally accurate information or services. The methodology makes a clear distinction on
    the technical and human behavioural level. The focus in this paper lies on behavioural aspects
    and attempts to combine driver behaviour with user acceptance, usually applied in economic
    information systems research. Driver behaviour is evaluated in a simulator study and field
    tests at various locations. User acceptance is then analysed with the UTAUT-model. Due to
    the measuring of different physiological parameters, certain extension to both aspects can be
    expected, which could be used for the development of behaviour-risk functions.

    University of Technology, Vienna

    Vereinigung High Tech Marketing

    AustriaTech

    University of Southampton


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

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