M.A. Khan, D. Turgut, and L. Bölöni

A study of collaborative influence mechanisms for highway convoy driving


Cite as:

M.A. Khan, D. Turgut, and L. Bölöni. A study of collaborative influence mechanisms for highway convoy driving. In Proceedings of International Workshop on Agents in Traffic and Transportation (ATT08), in conjunction with the Seventh Joint Conference on Autonomous and Multi-Agent Systems (AAMAS 2008), pp. 46–53, May 2008.

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Abstract:

Convoy driving on highways is a desirable behavior which reduces the risk of highway accidents and makes traffic faster and more fluent. Recent technologies, such as intelligent cruise control devices explicitly facilitate convoy driving by providing a fully automated means for following the previous vehicle. Participating in a convoy, however, requires compromises from the vehicles, such as slowing down to the speed of the lead vehicle; thus many drivers choose not to join any convoy. Collaborative convoy driving systems, based on vehicle-to-vehicle communication, promise to deliver means for the vehicles to influence the speed of the convoy, thus improving its utility. We discuss the mechanisms of convoy participation, including the decision to join and leave the convoy, and the mechanisms through which the vehicles can influence the convoy speed. In an experimental study, we compare three influence mechanisms: the ``adapt speed to the leader'' mechanism used by human drivers and intelligent cruise control systems and two collaborative influence mechanisms which require vehicle to vehicle communication. We show that the collaborative cruise control methods deliver better macroscopic performance measures: more vehicles participating in convoys, higher average speed and lower number of overtakings.

BibTeX:

@inproceedings{Khan-2008-ATT,
    author = "M.A. Khan and D. Turgut and L. B{\"o}l{\"o}ni",
    title = "A study of collaborative influence mechanisms for highway convoy
    driving",
    booktitle = "Proceedings of International
    Workshop on Agents in Traffic and Transportation (ATT08), in conjunction
    with the Seventh Joint Conference on Autonomous and Multi-Agent Systems
    (AAMAS 2008)",
    pages = "46-53",
    month = "May",
    year = "2008",
    abstract = {
       Convoy driving on highways is a desirable behavior which reduces
       the risk of highway accidents and makes traffic faster and more
       fluent. Recent technologies, such as intelligent cruise control
       devices explicitly facilitate convoy driving by providing a fully
       automated means for following the previous vehicle. Participating
       in a convoy, however, requires compromises from the vehicles,
       such as slowing down to the speed of the lead vehicle; thus many
       drivers choose not to join any convoy. Collaborative convoy
       driving systems, based on vehicle-to-vehicle communication,
       promise to deliver means for the vehicles to influence the speed
       of the convoy, thus improving its utility. We discuss the
       mechanisms of convoy participation, including the decision to
       join and leave the convoy, and the mechanisms through which the
       vehicles can influence the convoy speed. In an experimental
       study, we compare three influence mechanisms: the ``adapt speed
       to the leader'' mechanism used by human drivers and intelligent
       cruise control systems and two collaborative influence mechanisms
       which require vehicle to vehicle communication. We show that the
       collaborative cruise control methods deliver better macroscopic
       performance measures: more vehicles participating in convoys,
       higher average speed and lower number of overtakings.
    },
}

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