Abstract
A slow driving vehicle within traffic flow is considered as a moving bottleneck (MB). In this paper, we present simulations made with a microscopic stochastic flow model with a moving bottleneck in the framework of the three-phase theory by Kerner. The goal is to predict traffic phenomena that may occur if traffic breakdown is realized at the moving bottleneck. Considered is a traffic flow in which different percentages of probe vehicles are randomly distributed, which send their position and their speed each second (simFCD). We investigate what percentage of probe vehicles is necessary to reliably detect a moving bottleneck and predict its motion.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Gazis, D., Herman, R.: The Moving and ‘Phantom’ Bottlenecks. IBM Thomas J. Watson Research Division, New York (1990)
Kerner, B.S.: The Physics of Traffic: Empirical Freeway Pattern Features, Engineering Applications, and Theory. Understanding Complex Systems. Springer, Berlin (2004). https://doi.org/10.1007/978-3-540-40986-1
Kerner, B.S.: Microscopic theory of traffic-flow instability governing traffic breakdown at highway bottlenecks: growing wave of increase in speed in synchronized flow. Phys. Rev. E Stat. Nonlin. Soft Matter Phys. 92(6), 062827 (2015). https://doi.org/10.1103/PhysRevE.92.062827
Kerner, B.S.: Breakdown in Traffic Networks, Fundamentals of Transportation Science. Springer, Berlin (2017)
Kerner, B.S., Klenov, S.L.: A theory of traffic congestion at moving bottlenecks. J. Phys. A Math. Theor. 43(42), 425101 (2010)
Kerner, B.S., Rehborn, H., Schäfer, R.P., Klenov, S.L., Palmer, J., Lorkowski, S., Witte, N.: Traffic dynamics in empirical probe vehicle data studied with three-phase theory: spatiotemporal reconstruction of traffic phases and generation of jam warning messages. Physica A 392(1), 221–251 (2013)
Newell, G.: A moving bottleneck. Technical Report UCB-ITS-RR-93-3. Institute of Transportation Studies, University of California, Berkeley (1993)
Newell, G.: A moving bottleneck. Transp. Res. B Methodol. 32(8), 531–537 (1998)
Acknowledgements
The authors thank the partners for their support within the project “MEC-View—Mobile Edge Computing basierte Objekterkennung für hoch- und vollautomatisiertes Fahren”, funded by the German Federal Ministry of Economics and Energy by resolution of the German Federal Parliament.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Wegerle, D., Kerner, B.S., Klenov, S.L., Schreckenberg, M. (2019). Prediction of Moving Bottleneck and Associated Traffic Phenomena for Automated Driving. In: Hamdar, S. (eds) Traffic and Granular Flow '17. TGF 2017. Springer, Cham. https://doi.org/10.1007/978-3-030-11440-4_8
Download citation
DOI: https://doi.org/10.1007/978-3-030-11440-4_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-11439-8
Online ISBN: 978-3-030-11440-4
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)