Hidden Order in Traffic Flows Using Approximate Entropy: An Illustration

Kingsley Haynes (), Rajendra Kulkarni and Roger Stough ()
Additional contact information
Kingsley Haynes: George Mason University
Rajendra Kulkarni: George Mason University
Roger Stough: George Mason University

Chapter Chapter 9 in New Directions in Regional Economic Development, 2009, pp 143-159 from Springer

Abstract: Abstract The dynamic nature of traffic flows on urban freeways is self-evident. The plots of workday traffic on segments of major roads against time of day display the familiar contours of lumpy, peaked curves. Over the years the peaks have become blunt and the valleys filled, suggesting nearly day long high-volume traffic. At the same time that the average travel speed on congested freeways has gone up, average commute time has either remained steady or increased marginally and the number of accidents per 100 million VMTs has gone down or remained constant (Gordon et al. 1991; BTS 2006). Traffic at high volumes and high speeds or under designed roads should result in more accidents and slower travel times. This has not occurred but traffic has continued to increase. Congested traffic patterns suggest an inherent disorder or randomness. Could it be that there is a hidden order in the congested traffic patterns? It would be helpful to analyze and understand these linear spatial patterns to see the degree to which order/disorder associated with these patterns can be determined.

Keywords: Traffic Flow; Traffic Pattern; Congested Traffic; Vehicle Detection; Approximate Entropy (search for similar items in EconPapers)
Date: 2009
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:adspcp:978-3-642-01017-0_9

Ordering information: This item can be ordered from
http://www.springer.com/9783642010170

DOI: 10.1007/978-3-642-01017-0_9

Access Statistics for this chapter

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