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Stochastic Properties of Peak Short-Time Traffic Counts.
- Source :
-
Transportation Science . Aug67, Vol. 1 Issue 3, p167. 17p. 4 Graphs. - Publication Year :
- 1967
-
Abstract
- Traffic flow past a point varies with time owing partly to statistical fluctuations and partly to a variation in the mean. Highway traffic surveys frequently include as a measure of this variation, peak short- time flows (1-, 5-, or 15-min flows) during a longer time (15, 30, or 60 mm). Near the peak of the rush hour, the expected flow should be nearly stationary and variation in short-time flows should be due mostly to statistical fluctuations. This paper describes methods for estimation of these peak flows under the assumption that the short- time flows are approximately a stationary Gaussian process with a variance-to-mean ratio of about 1. The theory suggests that one can predict the distribution of peak short-time flows (5-mm flows, for example) from the peak long-time flows (15 or 30 mm flows). Experimental data seem to confirm this. The implication is that these short-time peaks have no obvious relation to highway capacity beyond that already inferred from the longer-time flows. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00411655
- Volume :
- 1
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Transportation Science
- Publication Type :
- Academic Journal
- Accession number :
- 4470380
- Full Text :
- https://doi.org/10.1287/trsc.1.3.167