Analysis, characterization, and visualization of freeway traffic data in Los Angeles

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

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-byturn 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.

Original languageEnglish (US)
Title of host publication53rd Annual Transportation Research Forum, TRF 2012
Pages1168-1214
Number of pages47
StatePublished - Dec 1 2012
Event53rd Annual Transportation Research Forum, TRF 2012 - Tampa, FL, United States
Duration: Mar 15 2012Mar 17 2012

Publication series

Name53rd Annual Transportation Research Forum, TRF 2012
Volume2

Other

Other53rd Annual Transportation Research Forum, TRF 2012
CountryUnited States
CityTampa, FL
Period3/15/123/17/12

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Management Science and Operations Research
  • Automotive Engineering
  • Transportation

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