Analysis, Characterization, and Visualization of Freeway Traffic Data in Los Angeles

Scott Chacon and Alain L. Kornhauser

No 207117, 53rd Annual Transportation Research Forum, Tampa, Florida, March 15-17, 2012 from Transportation Research Forum

Abstract: Presented is an analysis of a large volume of readily available loop detector based traffic data for the Los Angeles and Ventura Counties. The data suggests that the daily temporal variation of congestion along any directional road segment can be characterized quite well by a 10-parameter function. The function is shown to be suitable for use in the classification of road segments, such as having morning but no afternoon or evening congestion, as well as for the purpose of improving real-time forecasts of congestion ahead for use in generating dynamic real-time minimum estimated time-of-arrival turn-by- turn navigation instructions. Automation of the process allows for the characterization of all of the Los Angeles and Ventura Counties and can be applied to any metropolitan area having similar data. Several interactive and dynamic visualization tools using Google Earth are also developed and presented.

Keywords: Research and Development/Tech Change/Emerging Technologies; Research Methods/Statistical Methods; Risk and Uncertainty (search for similar items in EconPapers)
Pages: 30
Date: 2012-03
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/207117/files/2 ... eeway_Traffic_LA.pdf (application/pdf)

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:ags:ndtr12:207117

DOI: 10.22004/ag.econ.207117

Access Statistics for this paper

More papers in 53rd Annual Transportation Research Forum, Tampa, Florida, March 15-17, 2012 from Transportation Research Forum
Bibliographic data for series maintained by AgEcon Search ().