TY  - JOUR
PY  - 1983//
TI  - Application of counting distribution for high-variance urban traffic counts
JO  - Transportation research record
A1  - Ritchie, Stephen G.
SP  - 27
EP  - 33
VL  - 905
IS  - 
N2  - This paper describes an application of the negative binomial counting distribution to high-variance, short-period traffic counts collected on urban arterial roads during peak-period flow conditions. The data were collected at four sites downstream from signalized intersections in metropolitan Melbourne, Australia, during 1977-1978. Alternative parameter estimation techniques are described as well as a simple method for dealing with transient traffic demand patterns. The results of these comparative evaluations suggest that the negative binomial distribution can be applied quite simply to commonly occurring problems that involve high-variance traffic counts and that results are often markedly better than those for other elementary counting distributions such as the Poisson distribution.    Record URL:   http://onlinepubs.trb.org/Onlinepubs/trr/1983/905/905-005.pdf<p /> <p>Language: en</p>
LA  - en
SN  - 0361-1981
UR  - http://dx.doi.org/
ID  - ref1
ER  -