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Future Automatic Driving Based on Three-Phase Theory

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Breakdown in Traffic Networks
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Abstract

The deterioration of the performance of the traffic system through the ACC-vehicles discussed in Chap. 6 could be avoided through the use of automatic driving systems in vehicles, which learn from behaviors of drivers in real traffic as incorporated in hypotheses of the three-phase theory.

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Notes

  1. 1.

    In real ACC based on the three-phase theory, the synchronization time headway τ G, the safe time headway τ safe, and the coefficient of ACC adaptation \(K_{\Delta \mathrm{v}}\) in (7.5) can be complex functions of the speed of the vehicle and the speed of the preceding vehicle as well as of the current space gap (current time headway). Moreover, these functions can depend on a driving situation. Some examples of these functions can be found in [1113].

  2. 2.

    Because a detailed consideration of traffic congestion resulting from traffic breakdown is out of the scope of this book, in the main text of the book we do not consider requirements for the further development of automatic driving vehicles based on the three-phase theory related to dynamic control of congested traffic [14, 15] like the “jam-absorption” effect (see explanations of the “jam-absorption” effect in Sect. A.7.3 of Appendix A).

References

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  11. B.S. Kerner, Betriebsverfahren für ein fahrzeugseitiges verkehrsadaptives Assistenzsystem, German patent publication DE 102007008253A1 (2007) (https://register.dpma.de/DPMAregister/pat/PatSchrifteneinsicht?docId=DE102007008253A1)

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Kerner, B.S. (2017). Future Automatic Driving Based on Three-Phase Theory. In: Breakdown in Traffic Networks. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-54473-0_7

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  • DOI: https://doi.org/10.1007/978-3-662-54473-0_7

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