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- W2493277612 abstract "Urban traffic monitoring programs commonly utilize short-duration counts, including counts less than 24 hours in duration. For certain applications, it is necessary to estimate daily traffic volume from these counts. This requires the application of hourly factors derived from traffic pattern groups (TPGs) that comprise count sites with similar hourly traffic patterns and that also share features that generate these patterns. This article applies a hybrid approach to developing TPGs based on hourly traffic variations. The hybrid approach integrates the results of a statistical cluster procedure with pragmatic knowledge about the underlying variables that account for statistical similarities. The analysis shows that roadway functional class (e.g., local, collector, and arterial classifications), traffic volume, and land use characteristics (e.g., residential, commercial, and industrial uses) help explain hourly variations and are thus appropriate variables to distinguish the TPGs used in the factoring process. Application of the approach using data collected in Winnipeg, Manitoba, Canada, results in the identification of six TPGs that exhibit hourly traffic patterns generated by unique combinations of values of the three explanatory variables investigated. More broadly, the results illustrate how urban jurisdictions can better leverage readily available partial-day traffic counts to meet the growing demand for traffic information." @default.
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- W2493277612 date "2015-12-01" @default.
- W2493277612 modified "2023-09-27" @default.
- W2493277612 title "Traffic Pattern Groups Based on Hourly Traffic Variations in Urban Areas" @default.
- W2493277612 hasPublicationYear "2015" @default.
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