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Car-Following Headways on Freeways Interpreted by the Semi-Poisson Headway Distribution Model.
- Source :
-
Transportation Science . Feb79, Vol. 13 Issue 1, p36. 20p. - Publication Year :
- 1979
-
Abstract
- The goal of this work is to investigate driver car-following patterns on freeways, particularly as a function of traffic flow level, using a headway distribution model. A number of authors have developed "two-component" vehicular headway distribution models that assume vehicles on a road can be divided into two groups according to whether or not they are interacting with the vehicle ahead. A model of this type, the "semi-Poisson" model proposed by Buckley, is applied to a data base consisting of 42,000 observed headways from a single lane of an urban freeway over a range of flow from 900 to 2000 vehicles per lane per hour. A previously developed computational method allows the distribution of followers headways to be calculated directly from the observed total headway distribution by numerically solving an integral equation without introducing a parametric form for the followers distribution. The resulting followers headway distribution is found to be independent of the flow with a mean of 1.32 s and a standard deviation of 0.52 s. No statistically significant discrepancies are found between the model results and the observed data. The theoretical basis for the semi-Poisson model is discussed and compared with those of other models in order to assess the plausibility of the interpretation with respect to car following. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00411655
- Volume :
- 13
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Transportation Science
- Publication Type :
- Academic Journal
- Accession number :
- 5848186
- Full Text :
- https://doi.org/10.1287/trsc.13.1.36