2013
DOI: 10.5539/mas.v7n6p67
|View full text |Cite
|
Sign up to set email alerts
|

Abstract: This paper deals with the problem of model identification, calibration and validation for traffic countings on two-lane rural highways. A criterion for preliminary selection of arrival laws as a function of appropriate sample statistics and a technique for deciding whether sample data sets of traffic counting are congruent with stationary time series behavior are suggested; besides arrival laws currently used in research and engineering practice, the Neyman distribution has been also applied although it is not… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2014
2014
2016
2016

Publication Types

Select...
4
3

Relationship

1
6

Authors

Journals

citations
Cited by 8 publications
(3 citation statements)
references
References 23 publications
(19 reference statements)
0
3
0
Order By: Relevance
“…Such distributions are discussed in more specialized sources [such as, for instance, May (1990), Lord and Mannering (2010), and Mauro and Branco (2012)]. The criterion for choosing alternative traffic counting models has been exposed by Mauro and Branco (2013); the same source shows the theoretical probability distributions of arrivals (namely, the binomial, Poisson, and negative binomial distribution) and their expressions as a function of the sample statistics.…”
Section: Counting Distributionsmentioning
confidence: 99%
“…Such distributions are discussed in more specialized sources [such as, for instance, May (1990), Lord and Mannering (2010), and Mauro and Branco (2012)]. The criterion for choosing alternative traffic counting models has been exposed by Mauro and Branco (2013); the same source shows the theoretical probability distributions of arrivals (namely, the binomial, Poisson, and negative binomial distribution) and their expressions as a function of the sample statistics.…”
Section: Counting Distributionsmentioning
confidence: 99%
“…In general, it is worth reminding that, if traffic counts are distributed according to a Poisson probability distribution, the time headway is an exponential variable; and also, if traffic counts are distributed with a generalized Poisson distribution, the time headway will be an Erlang probability function [12].…”
Section: Time Headway Probability Modelsmentioning
confidence: 99%
“…Finally, very various loading conditions can be experienced in different positions at the interface. That can happen also in the same point in different moments, depending on the lateral wander of traffic, which should be studied by statistical analysis methods Mauro & Brando, 2013).…”
Section: Introductionmentioning
confidence: 99%