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Estimating Annual Average Daily Traffic Aadt From Short Duration Counts In Towns


Estimating Annual Average Daily Traffic Aadt From Short Duration Counts In Towns
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Estimating Annual Average Daily Traffic Aadt From Short Duration Counts In Towns


Estimating Annual Average Daily Traffic Aadt From Short Duration Counts In Towns
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Author : Karalee Klassen-Townsend
language : en
Publisher:
Release Date : 2021

Estimating Annual Average Daily Traffic Aadt From Short Duration Counts In Towns written by Karalee Klassen-Townsend and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.


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.



Optimizing Traffic Count Program


Optimizing Traffic Count Program
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Author : Nicholas J. Garber
language : en
Publisher:
Release Date : 1984

Optimizing Traffic Count Program written by Nicholas J. Garber and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Traffic estimation categories.


Estimates of annual average daily traffic (AADT) volumes are important in the planning and operations of state highway departments. These estimates are used in the planning of new construction and improvements of existing facilities, and, in some cases, in the allocation of maintenance funds. It is, therefore, important that any method used in obtaining the estimates provide data of sufficient accuracy for the intended use. This importance of having reliable and current data on traffic volumes at hand is generally recognized, and over the years data collection programs have tended to expand. This expansion has ledto huge amounts of money being spent annually for the collection and analysis of traffic data. Renewed efforts are, however, now being made to reduce the annual expenditure on traffic counts while at the same time maintaining the desired level of accuracy. A study is, therefore, being carried out by the Council to develop an optimal counting program for the state. This interim report presents the results of that portion of the study in which the feasibility of estimating AADT volumes from short counts was established. The procedure was first to use 1980 data for 16 continuous count stations to determine periods that are stable throughout the year for different short counts. It was found that stable periods for short counts occurred mainly on Mondays, Tuesdays, and Wednesdays, and expansion factors were then developed for short counts of different durations and different starting times for these days. The expansion factors were then used to estimate 1981AADT's from short counts extracted from data obtained in 1981 continuous counts. The results indicate that relative errors of less than 10% were obtained for AADT's estimated from counts of 6-, 8-, 10-, and 12-hour durations on Mondays, Tuesdays, and Wednesdays-The results for Tuesdays and Wednesdays tended to be more accurate than those for Mondays, and counts taken between February and November tended to give more accurate results than those taken in January and December.



Guide For Traffic Volume Counting Manual


Guide For Traffic Volume Counting Manual
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Author : United States. Bureau of Public Roads
language : en
Publisher:
Release Date : 1963

Guide For Traffic Volume Counting Manual written by United States. Bureau of Public Roads and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1963 with Traffic flow categories.




Group Assignment And Annual Average Daily Traffic Estimation Of Short Term Traffic Counts Using Gaussian Mixture Modeling And Neural Network Models


Group Assignment And Annual Average Daily Traffic Estimation Of Short Term Traffic Counts Using Gaussian Mixture Modeling And Neural Network Models
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Author : Sunil Kumar Madanu
language : en
Publisher:
Release Date : 2016

Group Assignment And Annual Average Daily Traffic Estimation Of Short Term Traffic Counts Using Gaussian Mixture Modeling And Neural Network Models written by Sunil Kumar Madanu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Gaussian processes categories.


The grouping of similar traffic patterns and cluster assignment process represent the most critical steps in AADT estimation from short-term traffic counts. Incorrect grouping and assignment often become a significant source of AADT estimation errors. For instance, grouping a commuter traffic trend pattern into a recreational traffic trend may produce an erroneous AADT value. The traditional knowledge-based methods, often aided with visual interpretation, introduce subjective bias while grouping traffic patterns. In addition, the grouping requires personnel resources to process large amounts of data and remains inefficient with unapparent traffic patterns. The functional class grouping, a traditional method, also produces larger errors. Under limited resources and constraints, better methods and techniques may group sites with similar characteristics. The study uses Gaussian Mixture Modeling (GMM) for clustering and an enhanced neural network model (OWO-Newton or ONN) for classification of continuous count data. The researchers compare this modified approach with volume factor grouping and a traditional approach. The study uses Automatic Traffic Recorder (ATR) data from the Oregon Department of Transportation (ODOT) as a comparative case study. Overall, the proposed two-step approach, GMM-ONN, exhibits improved performance. The study observes an error difference of 6% to 27%, which is statistically significant at 5 percent level, between the GMM-ONN and other methods. The GMM-ONN method produces less than five percent error for urban interstates and less than ten percent for urban arterials and freeways. The study method meets the FHWA recommended AADT forecasting error of less than ten percent for commuter patterns. The GMM-ONN also produces less error when compared to studies based on the national average and Minnesota and Florida DOT count data. The lower AADT estimation errors and its distribution show an effective and reliable approach for AADT estimation using short-term traffic counts. Moreover, the lower standard deviation of errors shows the satisfactory accuracy of the AADT estimates. The study recommends the improved two-step process due to its accuracy, economical approach by using daily patterns, and ability to meet the agency's need for a low-cost traffic counting program. The GMM-ONN method not only minimizes judgment errors but also supplements the FHWA guidelines on recommending clustering techniques for grouping the traffic patterns.



Guide For Traffic Volume Counting Manual


Guide For Traffic Volume Counting Manual
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Author :
language : en
Publisher:
Release Date : 1970

Guide For Traffic Volume Counting Manual written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1970 with Traffic flow categories.




Case Studies Of Traffic Monitoring Programs In Large Urban Areas


Case Studies Of Traffic Monitoring Programs In Large Urban Areas
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Author : Joseph J. Mergel
language : en
Publisher:
Release Date : 1997

Case Studies Of Traffic Monitoring Programs In Large Urban Areas written by Joseph J. Mergel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Local transit categories.




Continuous Traffic Count Data And Traffic Characteristics On Kansas Highways


Continuous Traffic Count Data And Traffic Characteristics On Kansas Highways
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Author :
language : en
Publisher:
Release Date : 1998

Continuous Traffic Count Data And Traffic Characteristics On Kansas Highways written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Traffic surveys categories.




Estimation Of Annual Average Daily Traffic Aadt And Thirtieth Highest Hourly Volume 30hv


Estimation Of Annual Average Daily Traffic Aadt And Thirtieth Highest Hourly Volume 30hv
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Author : M. D. Harmelink
language : en
Publisher: Department of Highways, Ontario
Release Date : 1968

Estimation Of Annual Average Daily Traffic Aadt And Thirtieth Highest Hourly Volume 30hv written by M. D. Harmelink and has been published by Department of Highways, Ontario this book supported file pdf, txt, epub, kindle and other format this book has been release on 1968 with Traffic estimation categories.




Revised Procedures For Factoring Short Traffic Counts To Average Annual Daily Traffic


Revised Procedures For Factoring Short Traffic Counts To Average Annual Daily Traffic
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Author : John H. Lemmerman
language : en
Publisher:
Release Date : 1982

Revised Procedures For Factoring Short Traffic Counts To Average Annual Daily Traffic written by John H. Lemmerman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982 with Traffic flow categories.




Estimation Of Annual Average Daily Traffic For Off System Roads In Florida


Estimation Of Annual Average Daily Traffic For Off System Roads In Florida
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Author :
language : en
Publisher:
Release Date : 1999

Estimation Of Annual Average Daily Traffic For Off System Roads In Florida written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Traffic estimation categories.