Author: Gary A. Davis
Publisher:
ISBN:
Category : Bayesian statistical decision theory
Languages : en
Pages : 104
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.
Estimation Theory Approach to Monitoring and Updating Average Daily Traffic
Author: Gary A. Davis
Publisher:
ISBN:
Category : Bayesian statistical decision theory
Languages : en
Pages : 104
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.
Publisher:
ISBN:
Category : Bayesian statistical decision theory
Languages : en
Pages : 104
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.
Journal of Transportation and Statistics
Author:
Publisher:
ISBN:
Category : Transportation
Languages : en
Pages : 672
Book Description
Publisher:
ISBN:
Category : Transportation
Languages : en
Pages : 672
Book Description
Transportation Research Record
Author:
Publisher:
ISBN:
Category : Air travel
Languages : en
Pages : 598
Book Description
Publisher:
ISBN:
Category : Air travel
Languages : en
Pages : 598
Book Description
Development and Testing of Methods for Estimating the Impact of Safety Improvements
Author: Gary A. Davis
Publisher:
ISBN:
Category : Bayesian statistical decision theory
Languages : en
Pages : 74
Book Description
Publisher:
ISBN:
Category : Bayesian statistical decision theory
Languages : en
Pages : 74
Book Description
Review of Traffic Monitoring Factor Groupings and the Determination of Seasonal Adjustment Factors for Cars and Trucks
Author: William H. Schneider
Publisher:
ISBN:
Category : Traffic monitoring
Languages : en
Pages : 204
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.
Publisher:
ISBN:
Category : Traffic monitoring
Languages : en
Pages : 204
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.
Crossroads 2000 Proceedings, August 19-20, 1998, Iowa State University, Ames, Iowa
Author: Marcia Brink
Publisher: Institut Fur Geographie Der Universitat Munchen
ISBN:
Category : Transportation
Languages : en
Pages : 288
Book Description
Publisher: Institut Fur Geographie Der Universitat Munchen
ISBN:
Category : Transportation
Languages : en
Pages : 288
Book Description
Alternatives for Estimating Seasonal Factors on Rural and Urban Roads in Florida
Author: Fang Zhao
Publisher:
ISBN:
Category : Cluster analysis
Languages : en
Pages : 168
Book Description
Publisher:
ISBN:
Category : Cluster analysis
Languages : en
Pages : 168
Book Description
Annual Report
Author: University of Minnesota. Center for Transportation Studies
Publisher:
ISBN:
Category : Transportation
Languages : en
Pages : 44
Book Description
Publisher:
ISBN:
Category : Transportation
Languages : en
Pages : 44
Book Description
Highway and Traffic Safety
Author: National Research Council (U.S.). Transportation Research Board
Publisher:
ISBN:
Category : Traffic accidents
Languages : en
Pages : 148
Book Description
Transportation Research Record contains the following papers: Method for identifying factors contributing to driver-injury severity in traffic crashes (Chen, WH and Jovanis, PP); Crash- and injury-outcome multipliers (Kim, K); Guidelines for identification of hazardous highway curves (Persaud, B, Retting, RA and Lyon, C); Tools to identify safety issues for a corridor safety-improvement program (Breyer, JP); Prediction of risk of wet-pavement accidents : fuzzy logic model (Xiao, J, Kulakowski, BT and El-Gindy, M); Analysis of accident-reduction factors on California state highways (Hanley, KE, Gibby, AR and Ferrara, T); Injury effects of rollovers and events sequence in single-vehicle crashes (Krull, KA, Khattack, AJ and Council, FM); Analytical modeling of driver-guidance schemes with flow variability considerations (Kaysi, I and Ail, NH); Evaluating the effectiveness of Norway's speak out! road safety campaign : The logic of causal inference in road safety evaluation studies (Elvik, R); Effect of speed, flow, and geometric characteristics on crash frequency for two-lane highways (Garber, NJ and Ehrhart, AA); Development of a relational accident database management system for Mexican federal roads (Mendoza, A, Uribe, A, Gil, GZ and Mayoral, E); Estimating traffic accident rates while accounting for traffic-volume estimation error : a Gibbs sampling approach (Davis, GA); Accident prediction models with and without trend : application of the generalized estimating equations procedure (Lord, D and Persaud, BN); Examination of methods that adjust observed traffic volumes on a network (Kikuchi, S, Miljkovic, D and van Zuylen, HJ); Day-to-day travel-time trends and travel-time prediction form loop-detector data (Kwon, JK, Coifman, B and Bickel, P); Heuristic vehicle classification using inductive signatures on freeways (Sun, C and Ritchie, SG).
Publisher:
ISBN:
Category : Traffic accidents
Languages : en
Pages : 148
Book Description
Transportation Research Record contains the following papers: Method for identifying factors contributing to driver-injury severity in traffic crashes (Chen, WH and Jovanis, PP); Crash- and injury-outcome multipliers (Kim, K); Guidelines for identification of hazardous highway curves (Persaud, B, Retting, RA and Lyon, C); Tools to identify safety issues for a corridor safety-improvement program (Breyer, JP); Prediction of risk of wet-pavement accidents : fuzzy logic model (Xiao, J, Kulakowski, BT and El-Gindy, M); Analysis of accident-reduction factors on California state highways (Hanley, KE, Gibby, AR and Ferrara, T); Injury effects of rollovers and events sequence in single-vehicle crashes (Krull, KA, Khattack, AJ and Council, FM); Analytical modeling of driver-guidance schemes with flow variability considerations (Kaysi, I and Ail, NH); Evaluating the effectiveness of Norway's speak out! road safety campaign : The logic of causal inference in road safety evaluation studies (Elvik, R); Effect of speed, flow, and geometric characteristics on crash frequency for two-lane highways (Garber, NJ and Ehrhart, AA); Development of a relational accident database management system for Mexican federal roads (Mendoza, A, Uribe, A, Gil, GZ and Mayoral, E); Estimating traffic accident rates while accounting for traffic-volume estimation error : a Gibbs sampling approach (Davis, GA); Accident prediction models with and without trend : application of the generalized estimating equations procedure (Lord, D and Persaud, BN); Examination of methods that adjust observed traffic volumes on a network (Kikuchi, S, Miljkovic, D and van Zuylen, HJ); Day-to-day travel-time trends and travel-time prediction form loop-detector data (Kwon, JK, Coifman, B and Bickel, P); Heuristic vehicle classification using inductive signatures on freeways (Sun, C and Ritchie, SG).
Nondestructive Evaluation of Highways, Utilities, and Pipelines IV
Author: A. E. Aktan
Publisher: SPIE-International Society for Optical Engineering
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 636
Book Description
Publisher: SPIE-International Society for Optical Engineering
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 636
Book Description