Deployment scenarios for speed assistance systems

Jaap Vreeswijk, Bart van Arem, Kerry Malone, Cornelie van Driel

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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    Abstract

    Speed assistance systems have a strong potential to contribute to solving road traffic problems regarding congestion, energy consumption and safety. However, most speed assistance systems are not yet commercially available, and when they are, large-scale deployment takes a long period of time due to problems, with respect to technology development, user demand, legal issues and market organization. These problems were analyzed by means of scenario analysis and the construction and application of a scenario model. Four scenarios were considered varying in the level of demand for speed assistance and the level of market organization. The analysis and the scenarios indicated that the deployment of speed assistance systems can lead to penetration rates of up to 50 percent in 2025 in case of high market demand and strong market organization. Cooperation among stakeholders is therefore the first and most important step towards a new traffic situation, which is smarter, safer and cleaner than that of today.
    Original languageEnglish
    Title of host publication15th World Congress on Intelligent Transport Systems, New York, USA, November 16-20, 2008
    Place of PublicationNew York, NY
    PublisherIntelligent Transportation Society of America
    Number of pages10
    Publication statusPublished - 16 Nov 2008
    Event15th World Congress on Intelligent Transport Systems, ITS 2008: ITS Connections: Saving Time, Saving Lives - New York, United States
    Duration: 16 Nov 200820 Nov 2008
    Conference number: 15

    Conference

    Conference15th World Congress on Intelligent Transport Systems, ITS 2008
    Abbreviated titleITS
    CountryUnited States
    CityNew York
    Period16/11/0820/11/08

    Keywords

    • Speed assistance
    • Deployment factors
    • Scenario analysis
    • Scenario model

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