Understanding Stop-and-go Traffic in View of Asymmetric Traffic Theory

Hwasoo Yeo and Alexander Skabardonis
Additional contact information
Hwasoo Yeo: University of California
Alexander Skabardonis: University of California

Chapter Chapter 6 in Transportation and Traffic Theory 2009: Golden Jubilee, 2009, pp 99-115 from Springer

Abstract: Abstract Stop-and-go traffic is a frequently observed phenomenon in congested highway traffic, but it has not been accurately modeled in existing traffic models. Car-following models based on kinematic flow theory cannot model stop-and-go traffic. Other approach assumed traffic states deviating from the equilibrium curve in the fundamental diagram, and the transitions between them, but no explanation was provided on the reason for the existence of different states. There is a need to understand the mechanism of stop-and-go traffic in terms of generation, propagation and dissipation in order to accurately model traffic dynamics. We propose an asymmetric traffic theory and explain the stop-and-go traffic phenomenon in light of the developed theory. The proposed theory is verified using individual vehicle trajectories from two freeway sites in California, US, collected as part of the Next Generation Simulation (NGSIM) project.

Keywords: Traffic Flow; Traffic State; Minimum Speed; Transportation Research Part; Acceleration Wave (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations: View citations in EconPapers (24)

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:978-1-4419-0820-9_6

Ordering information: This item can be ordered from
http://www.springer.com/9781441908209

DOI: 10.1007/978-1-4419-0820-9_6

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 ().