Author:
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ISBN:
Category :
Languages : en
Pages : 708
Book Description
Parker Road (SH83)/ I-225 Interchange, Peoria St to Hampden Avenue
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 708
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 708
Book Description
Southeast Corridor Project, Denver
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ISBN:
Category :
Languages : en
Pages : 604
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 604
Book Description
EIS. Digests of Environmental Impact Statements
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Publisher:
ISBN:
Category : Environmental impact statements
Languages : en
Pages : 150
Book Description
Publisher:
ISBN:
Category : Environmental impact statements
Languages : en
Pages : 150
Book Description
EIS Cumulative
Author:
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ISBN:
Category : Environmental impact analysis
Languages : en
Pages : 330
Book Description
Publisher:
ISBN:
Category : Environmental impact analysis
Languages : en
Pages : 330
Book Description
Public Roads
Author:
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ISBN:
Category : Highway research
Languages : en
Pages : 68
Book Description
Publisher:
ISBN:
Category : Highway research
Languages : en
Pages : 68
Book Description
Validation of Urban Vehicle Classification Sampling Methodology
Author:
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ISBN:
Category : Sampling (Statistics)
Languages : en
Pages : 104
Book Description
The Mobility Analysis Section of the CDOT Division of Transportation Development (DTD) developed this study to determine whether the cluster count method developed by CDOT is statistically reliable for estimating vehicle classification on urban roadways with average daily traffic volumes exceeding 15,000 vehicles per day. Specifically, CDOT needed to assess whether or not the percentages of vehicles in the 13 FHWA vehicle classifications estimated by the cluster count method differ significantly from expected percentages obtained by 24-hour counts. Since vehicle classification is expensive to perform by manual observation over long periods of time, a statistically reliable method of estimating vehicle type percentages on urban roadways using a less time-consuming method is desirable. The study team utilized the chi-square statistical test to evaluate the similarity between vehicle classifications collected using the cluster count method and 24-hour vehicle counts collected using other data collection methods. Vehicle classification data were collected at 12 sites around Denver, Colorado that represented different roadway classes. The statistical tests between the data collected using the cluster count method and the 24-hour counts revealed that the current cluster count method varied beyond an acceptable statistical similarity to the 24-hour counts. Upon reaching this conclusion, the study panel simulated various changes to the short duration count methodology in an effort to identify the greatest improvement in statistical accuracy. As a result of this study, the recommended short duration vehicle classification methodology requires vehicle counts to be performed for 15 minutes every hour for a 24-hour period. This method exhibits strong statistical similarity to the 24-hour classification counts for all roadway classes and study sites included in this analysis. This collection method is statistically accurate, easy for field personnel to understand and collect, and is about onethird of the cost of a manual 24-hour count. The Mobility Analysis Section of DTD has developed a guidebook on the recommended short duration count methodology that will be available to CDOT staff, data collectors, consultants, and other public agencies. This guidebook outlines how to collect the short duration classification data, process and manage the data, and perform quality control checks.
Publisher:
ISBN:
Category : Sampling (Statistics)
Languages : en
Pages : 104
Book Description
The Mobility Analysis Section of the CDOT Division of Transportation Development (DTD) developed this study to determine whether the cluster count method developed by CDOT is statistically reliable for estimating vehicle classification on urban roadways with average daily traffic volumes exceeding 15,000 vehicles per day. Specifically, CDOT needed to assess whether or not the percentages of vehicles in the 13 FHWA vehicle classifications estimated by the cluster count method differ significantly from expected percentages obtained by 24-hour counts. Since vehicle classification is expensive to perform by manual observation over long periods of time, a statistically reliable method of estimating vehicle type percentages on urban roadways using a less time-consuming method is desirable. The study team utilized the chi-square statistical test to evaluate the similarity between vehicle classifications collected using the cluster count method and 24-hour vehicle counts collected using other data collection methods. Vehicle classification data were collected at 12 sites around Denver, Colorado that represented different roadway classes. The statistical tests between the data collected using the cluster count method and the 24-hour counts revealed that the current cluster count method varied beyond an acceptable statistical similarity to the 24-hour counts. Upon reaching this conclusion, the study panel simulated various changes to the short duration count methodology in an effort to identify the greatest improvement in statistical accuracy. As a result of this study, the recommended short duration vehicle classification methodology requires vehicle counts to be performed for 15 minutes every hour for a 24-hour period. This method exhibits strong statistical similarity to the 24-hour classification counts for all roadway classes and study sites included in this analysis. This collection method is statistically accurate, easy for field personnel to understand and collect, and is about onethird of the cost of a manual 24-hour count. The Mobility Analysis Section of DTD has developed a guidebook on the recommended short duration count methodology that will be available to CDOT staff, data collectors, consultants, and other public agencies. This guidebook outlines how to collect the short duration classification data, process and manage the data, and perform quality control checks.
Transportation Improvement Program
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Category : Transportation
Languages : en
Pages : 98
Book Description
Publisher:
ISBN:
Category : Transportation
Languages : en
Pages : 98
Book Description
132nd St SE Improvement and Extension, Snohomish County
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Publisher:
ISBN:
Category :
Languages : en
Pages : 386
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 386
Book Description
185th Ave Project, Rock Creek Blvd to Tualatin Valley Hwy, Washington County
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 160
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 160
Book Description
The 1973 Federal-Aid Highway Act
Author:
Publisher:
ISBN:
Category : Highway law
Languages : en
Pages : 28
Book Description
Publisher:
ISBN:
Category : Highway law
Languages : en
Pages : 28
Book Description