Microscopic Jam Tail Warning for Automated Driving

Sven-Eric Molzahn (), Boris S. Kerner () and Hubert Rehborn ()
Additional contact information
Sven-Eric Molzahn: Daimler AG, RD/USN, HPC 059-X901
Boris S. Kerner: Physics of Transport and Traffic
Hubert Rehborn: Daimler AG, RD/USN, HPC 059-X901

A chapter in Traffic and Granular Flow '17, 2019, pp 79-86 from Springer

Abstract: Abstract We perform a spatiotemporal differentiation between two different phases in congested traffic at the upstream front of the congested pattern: (1) the wide moving jam phase (J) and (2) synchronized flow phase (S) as introduced in the three-phase theory by Kerner. With this approach one can derive a conclusion how dangerous certain parts of the congested pattern really are and decide whether oncoming vehicles should be warned with a jam tail warning system. Each of the probe vehicles can distinguish either F→J or F→S transitions through a method for traffic phase identification. With the detailed information about the phase transitions happening at the upstream front of the congested pattern, the automated vehicle can drive safer and more comfortable while maintaining an unobtrusive behavior approaching traffic congestion. In our study made in this paper, empirical data is obtained through the use of probe vehicles with an average frequency of about 10 s. This allows us to reconstruct the F→J or F→S transitions over time at the upstream front of empirical congested patterns with a high quality that is sufficient for microscopic jam warning for automated vehicles.

Date: 2019
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-11440-4_10

Ordering information: This item can be ordered from
http://www.springer.com/9783030114404

DOI: 10.1007/978-3-030-11440-4_10

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().