Methods for Improving the Flow of Traffic

Sándor P. Fekete; Björn Hendriks; Christopher Tessars; Axel Wegener; Horst Hellbrück; Stefan Fischer; Sebastian Ebers

doi:10.1007/978-3-0348-0130-0_29

Methods for Improving the Flow of Traffic

Sándor P. Fekete, Björn Hendriks, Christopher Tessars, Axel Wegener, Horst Hellbrück, Stefan Fischer, Sebastian Ebers

Institute of Telematics

Abstract

We describe a distributed and self-regulated approach for the self-organisation of a large system of many self-driven, mobile objects, i.e., cars in traffic. Based on methods for mobile ad-hoc networks using short-distance communication between vehicles, and ideas from distributed algorithms, we consider reactions to specific traffic structures (e.g., traffic jams.) Building on current models from traffic physics, we are able to develop strategies that significantly improve the flow of congested traffic. Results include fuel savings up to 40% for cars in stop-and-go traffic; we present a number of simulation results illustrating the underlying mechanisms. In addition, we discuss the organic structure of urban traffic, and hint at how self-healing methods can lead to improvements in rush-hour traffic.

Original language	English
Title of host publication	Organic Computing - A Paradigm Shift for Complex Systems
Editors	Christian Müller-Schloer, Hartmut Schmeck, Theo Ungerer
Number of pages	14
Volume	1
Place of Publication	Basel
Publisher	Springer Basel
Publication date	2011
Pages	447-460
ISBN (Print)	978-3-0348-0129-4
ISBN (Electronic)	978-3-0348-0130-0
DOIs	https://doi.org/10.1007/978-3-0348-0130-0_29
Publication status	Published - 2011

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SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 12 Responsible Consumption and Production

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10.1007/978-3-0348-0130-0_29

Cite this

Fekete, S. P., Hendriks, B., Tessars, C., Wegener, A., Hellbrück, H., Fischer, S., & Ebers, S. (2011). Methods for Improving the Flow of Traffic. In C. Müller-Schloer, H. Schmeck, & T. Ungerer (Eds.), Organic Computing - A Paradigm Shift for Complex Systems (Vol. 1, pp. 447-460). (Autonomic Systems; Vol. 1). Springer Basel. https://doi.org/10.1007/978-3-0348-0130-0_29

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Methods for Improving the Flow of Traffic. / Fekete, Sándor P.; Hendriks, Björn; Tessars, Christopher et al.
Organic Computing - A Paradigm Shift for Complex Systems. ed. / Christian Müller-Schloer; Hartmut Schmeck; Theo Ungerer. Vol. 1 Basel: Springer Basel, 2011. p. 447-460 (Autonomic Systems; Vol. 1).

Research output: Chapters in Books/Reports/Conference Proceedings › Chapter › peer-review

TY - CHAP

T1 - Methods for Improving the Flow of Traffic

AU - Fekete, Sándor P.

AU - Hendriks, Björn

AU - Tessars, Christopher

AU - Wegener, Axel

AU - Hellbrück, Horst

AU - Fischer, Stefan

AU - Ebers, Sebastian

PY - 2011

Y1 - 2011

N2 - We describe a distributed and self-regulated approach for the self-organisation of a large system of many self-driven, mobile objects, i.e., cars in traffic. Based on methods for mobile ad-hoc networks using short-distance communication between vehicles, and ideas from distributed algorithms, we consider reactions to specific traffic structures (e.g., traffic jams.) Building on current models from traffic physics, we are able to develop strategies that significantly improve the flow of congested traffic. Results include fuel savings up to 40% for cars in stop-and-go traffic; we present a number of simulation results illustrating the underlying mechanisms. In addition, we discuss the organic structure of urban traffic, and hint at how self-healing methods can lead to improvements in rush-hour traffic.

AB - We describe a distributed and self-regulated approach for the self-organisation of a large system of many self-driven, mobile objects, i.e., cars in traffic. Based on methods for mobile ad-hoc networks using short-distance communication between vehicles, and ideas from distributed algorithms, we consider reactions to specific traffic structures (e.g., traffic jams.) Building on current models from traffic physics, we are able to develop strategies that significantly improve the flow of congested traffic. Results include fuel savings up to 40% for cars in stop-and-go traffic; we present a number of simulation results illustrating the underlying mechanisms. In addition, we discuss the organic structure of urban traffic, and hint at how self-healing methods can lead to improvements in rush-hour traffic.

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DO - 10.1007/978-3-0348-0130-0_29

M3 - Chapter

SN - 978-3-0348-0129-4

VL - 1

T3 - Autonomic Systems

SP - 447

EP - 460

BT - Organic Computing - A Paradigm Shift for Complex Systems

A2 - Müller-Schloer, Christian

A2 - Schmeck, Hartmut

A2 - Ungerer, Theo

PB - Springer Basel

CY - Basel

ER -

Methods for Improving the Flow of Traffic

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