Safety

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  • Drobot - Driving the Future


  • Intelligent Hard Shoulder: When Congestion Relief Meets Safety

    The junction between A3 & A86 highways around Paris (France) sees a 2-lane and a 4-lane highway merge onto a 4-lane wide and 700 meter long viaduct. The junction is a heavily congested area. This project aimed at optimizing the road capacity of the viaduct by removing the hard shoulder in order to create an infrastructure with 5 traffic lanes in each direction instead of 4.

    An Intelligent Transportation System was designed in order to keep a high level of safety for road users on a road section deprived of a hard shoulder but still experiencing a very dense traffic and a lot of lane switching.

    This innovative concept, referred to as “Intelligent hard shoulder” made use of:

    • Video surveillance CCTV system
    • Video Detection system for Automatic Detection of stopped vehicles
    • Information of road users by means of dynamic message signs ahead and

    on the junction

    • Retractable barriers system enabling to dynamically and physically recreate

    a hard shoulder

    After 2 years of operation, there is an obvious benefit on the project with the increase in road capacity on the A3/A86 junction itself, although the impact varies for sections of highways ahead and after the junction.

    The equipment composing the Intelligent Transportation System demonstrated its ability to ensure an outstanding level of safety and security across the viaduct. The Video Detection system supplied efficient and reliable information enabling Traffic Operators to address quickly and adequately incidents occurring on the junction.

    The project is an archetype of the benefits of ITS solutions for upgrading safety and providing congestion relief at a cost/benefit ratio far better than a conventional roadwork solution; it shows good potential to be implemented in a large number of other sites.

    Citilog, Inc.

    Presented at the ITS America Annual Conference and Exposition, April 26 - 28, 2004 San Antonio, Texas

  • A Transit Frontal Collision Warning System

    A frontal collision warning system (FCWS) for transit buses is introduced. The main purpose
    of the transit FCWS is to help bus drivers avoid crashes. Given the fact that buses mostly run
    in complex urban and suburban environments, it is a challenge for the system to keep high
    sensitivity to frontal collision scenarios and give drivers timely true warnings while
    suppressing the excessive nuisance and false warnings. The system architecture and the latest
    developments of the warning algorithm are introduced. The verification test of the system is
    discussed. The threat assessment in the warning algorithm is described. Categorization and
    analyzes of scenarios and the statistic result are presented.

    PATH program, Institute of Transportation Studies, University of California at Berkeley, USA

    Department of Electronic Engineering, Tsinghua University, Beijing, China


    Presented at the 12th World Congress on Intelligent Transport Systems,
    November 6-10, 2005, San Francisco, California

  • Video Based Image Analysis For Tunnel Safety – Vitus-1

    Controlling traffic tunnels is a complex task which imposes serious requirements. Tunnel
    safety depends largely on alerting motorists and tunnel personnel of a traffic incident in a
    timely manner. Such an alert must be based on a reliable and complete monitoring of tunnel
    activities. Highway tunnels are already equipped with basic video systems mainly for
    supervising by tunnel stuff and guidance of emergency activities. Effective incident
    management completely depends on fast incident detection and fast incident verification. Due
    to the huge amount of information provided by video systems, image analysis might help
    human operators to detect unexpected events and prevent dangerous situations.
    This paper summarises our present study called VITUS-1. The feasibility study VITUS-1
    defines a concept mainly based on digital video image analysis in order to accomplish the
    following tasks: 1) automatically recognizing alarm situations in road tunnels; 2) alerting the
    tunnel personnel and – if necessary – the road users; and 3) automatic storage of traffic
    incident video sequences.

    1ARC Seibersdorf research GmbH,
    Autobahnen und Schnellstrassen-Finanzierungs-Aktien Gesellschaft (ASFiNAG)

    ETM professional control GmbH

    Institute for Computer Graphics and Vision - Graz University of Technology

    PTV AG

    ASTL


    Presented at the 12th World Congress on Intelligent Transport Systems,
    November 6-10, 2005, San Francisco, California

  • The rapid responding and disposing system of road traffic emergency

    Rapidly developing economy evoked the increasing number of vehicles, and the urban traffic is already
    overburdened. Nowadays if we cannot rapidly dispose the emergencies, such as traffic accident, vehicle
    breaking, illegal driving and bad weather conditions, the traffic congestion will be diffused quickly, and
    sometimes even worse to lead the local traffic paralysis. As to the emergencies have some
    characteristics of the frequentness and uncertainty on time and space. It is a desirable problem
    to solve among the major cities nation-wide that how to enhance the rapid response capability
    to these emergencies, where the traffic policemen should appear immediately when they are
    needed, how to avoid the diffusing of the traffic congestion and the traffic paralysis, etc.
    Therefore we’ll introduce you the functions and characteristics of the Rapid Responding and
    Disposing System of Road Traffic Emergency developed and used in the city of Dalian, China.
    The followings are some details such as finding and disposing the road traffic congestion
    rapidly, establishing and implementing the per-plans for special safekeeping assignments,
    monitoring the illegal vehicles and traffics, real time traffic information transferring, and the
    evaluating of the on duty policemen’s work.

    Dalian, CHINA


    Presented at the 12th World Congress on Intelligent Transport Systems,
    November 6-10, 2005, San Francisco, California

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