Estimation Theory Approach to Monitoring and Updating Average Daily Traffic PDF Download
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Author: Gary A. Davis
Publisher:
ISBN:
Category : Bayesian statistical decision theory
Languages : en
Pages : 104
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Book Description
This report describes the application of Bayesian statistical methods to several related problems arising in the estimation of mean daily traffic for roadway locations lacking permanent automatic traffic recorders. A lognormal regression model is fit to daily count data obtained from automatic traffic recorders, and this model is then used to develop (1) a heuristic algorithm for developing traffic sampling plans which minimize the likelihood of assigning a site to an incorrect factor group, (2) an empirical Bayes method for assigning a short-count site to a factor group using the information in a sample of traffic counts, and (3) an empirical Bayes estimator of mean daily traffic which allows for uncertainty concerning the appropriate factors to be used in adjusting a sample count.
Author: Gary A. Davis
Publisher:
ISBN:
Category : Bayesian statistical decision theory
Languages : en
Pages : 104
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Book Description
This report describes the application of Bayesian statistical methods to several related problems arising in the estimation of mean daily traffic for roadway locations lacking permanent automatic traffic recorders. A lognormal regression model is fit to daily count data obtained from automatic traffic recorders, and this model is then used to develop (1) a heuristic algorithm for developing traffic sampling plans which minimize the likelihood of assigning a site to an incorrect factor group, (2) an empirical Bayes method for assigning a short-count site to a factor group using the information in a sample of traffic counts, and (3) an empirical Bayes estimator of mean daily traffic which allows for uncertainty concerning the appropriate factors to be used in adjusting a sample count.
Author:
Publisher:
ISBN:
Category : Transportation
Languages : en
Pages : 234
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Book Description
Author:
Publisher:
ISBN:
Category : Air travel
Languages : en
Pages : 598
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Book Description
Author: William H. Schneider
Publisher:
ISBN:
Category : Traffic monitoring
Languages : en
Pages : 204
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Book Description
"One of the most common traffic volume parameters reported by statewide traffic monitoring programs is annual average daily traffic (AADT). Departments of Transportation (DOT) and other state agencies use a series of continuous vehicle detection devices in association with smaller more mobile short-term counts. Once the short-term counts are recorded a series of adjustment factors (time of day, day of week, month of year, or seasonal) are applied to the short-term counts. The end result is an estimated AADT for a particular segment of roadway. Traditionally, as defined in section two of the Traffic Monitoring Guide (TMG), there are three methodologies, geographic/functional assignment of roads to groups, cluster analysis and the same road application factor. In each case, there are advantages and disadvantages and currently there is not a final peer reviewed nationally suggested method. The benefits associated with this research include an improved method for estimating AADT throughout Ohio"--Technical report documentation page.
Author: Gary A. Davis
Publisher:
ISBN:
Category : Bayesian statistical decision theory
Languages : en
Pages : 74
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Book Description
Author: Robert Krile
Publisher:
ISBN:
Category :
Languages : en
Pages : 23
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Book Description
Numerous factoring and baseline values are required to ensure annual average daily traffic (AADT) data are collected and reported correctly. The variability of numerous methods currently used are explored so that those in the traffic community will clearly know the limitations and the extent of each method used and how to properly utilize methods for their agency to obtain the necessary results. Federal Highway Administration (FHWA) Travel Monitoring Analysis System (TMAS) data from 14 years consisting of 24 hours of the day and 7 days of the week volume data from over 6000 continuous permanent volume traffic data sites in the United States comprised the reference dataset for this research. Randomly selected (with some constraints) sites each include one year of 100% complete daily reporting and the set of sites represent 12 functional classes, years 2000 through 2013, 43 states and DC, and various volume ranges. Four AADT estimation methods were examined for accuracy when data from various time periods were removed. This report is a final task report that summarizes identified inaccuracies with current methods that are used for AADT estimation, and includes the analysis methodology and summary statistics findings.
Author: Fang Zhao
Publisher:
ISBN:
Category : Cluster analysis
Languages : en
Pages : 168
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Book Description
Author: Marcia Brink
Publisher: Institut Fur Geographie Der Universitat Munchen
ISBN:
Category : Transportation
Languages : en
Pages : 288
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Book Description
Author: Karalee Klassen-Townsend
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Traffic volume data, commonly summarized as annual average daily traffic (AADT), is a fundamental input for transportation engineering decisions. Current traffic monitoring guidance provides insufficient detail on the development of AADT estimates from short-duration counts conducted within towns. This is due to limited knowledge of the attributes that characterize a town count and uncertainty about the temporal factors required to estimate AADT from short-duration town count data. This research addressed these gaps by using a decision algorithm and GIS analysis to identify which short-duration counts should be considered town counts and by developing and validating a methodology to estimate AADT from short-duration town count data. The analysis demonstrated that temporal factors generated from continuous counts conducted near towns could be reliably applied to short-duration town count data. This finding enables traffic monitoring authorities to leverage existing data and methods to improve the representativeness of traffic volume estimates in towns.
Author: University of Minnesota. Center for Transportation Studies
Publisher:
ISBN:
Category : Transportation
Languages : en
Pages : 44
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Book Description
