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Author: Jon D. Fricker
Publisher:
ISBN:
Category : Low-volume roads
Languages : en
Pages : 298
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Author: Jon D. Fricker
Publisher:
ISBN:
Category : Low-volume roads
Languages : en
Pages : 298
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Book Description
Author: Dongwoo Sohn
Publisher:
ISBN:
Category : Highway engineering
Languages : en
Pages : 210
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Author: Alfred J. Neveu
Publisher:
ISBN:
Category : Highway capacity
Languages : en
Pages : 38
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Author:
Publisher:
ISBN:
Category : Traffic flow
Languages : en
Pages : 32
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Book Description
Traffic forecasting plays an important role for MnDOT in corridor planning, geometric design, pavement design, safety analysis, benefit/cost analysis, access management, and environmental analysis and mitigation. In previous decades, Minnesota has seen steady growth in vehicle miles traveled. However, in recent years VMT growth in Minnesota has been flat and declined by 0.5 percent from 2009 to 2010. MnDOT is interested in learning how other states are dealing with what appears to be a nationwide trend in a leveling off or decline in VMT, and what forecasting methods are used by state DOTs to project traffic volumes in nonmetropolitan areas with a population under 50,000.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 40
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Author: John A. Deacon
Publisher:
ISBN:
Category : Highway capacity
Languages : en
Pages : 180
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The objective of this study was to develop a procedure to forecast highway traffic volumes through the use of growth factors representative of Kentucky highways and reflecting effects of important socioeconomic and demographic variables. A two-stage modeling process was used. In the first, linear regression models were used to relate average daily travel on Kentucky roadways to personal income, price of fuel, and total miles of streets and highways. In the second, cross-tabulation models were used to relate growth in volume at a specific site--expressed relative to the statewide ADT--to highway functional classification, rural/urban location, county population growth, SMSA/non-SMSA designation, and volume level. The growth model yields estimates not only of the most likely rate of growth at a particular site but also of the range experienced at similar sites statewide. In collecting historical volume data for model calibration, a file was developed representing approximately 15,000 sites on the state highway system at which counts had been taken during the 1963-86 base period. On average, there were about 5.8 counts for each of these sites. Data in the file is instantly accessible by microcomputer users through dBASE software. A piecewise linear regression routine is used to provide estimates for past years during which counts were not taken. The historical volume database has been designed for continuous updating as new counts are made. Similarly, the forecasting models have been designed for convenient recalibration at annual intervals.
Author: Jon D. Fricker
Publisher:
ISBN:
Category : Low-volume roads
Languages : en
Pages : 40
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Author: United States. Office of Highway Planning. Program Management Division
Publisher:
ISBN:
Category : Traffic estimation
Languages : en
Pages : 196
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Author: Dick T. Apronti
Publisher:
ISBN: 9781339391878
Category : Highway planning
Languages : en
Pages : 239
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Book Description
This research project developed low-cost and effective traffic volume prediction models for rural low-volume roads in Wyoming. The models were developed to support a wide variety of design, planning, and management functions on both state and county road networks. A review of existing methods of traffic volume estimation in other states was carried out. Two main model types were identified - regression models and travel demand models. The study developed the two model types for Wyoming and recommended the best model for implementation. Two regression models were developed, a linear regression model and a logistic regression model. Each of the regression models was developed using data from 13 randomly selected counties in Wyoming and nine counties were used to verify the utility of the models. The linear regression model had an R square of 64.3% and was verified to be a good predictor of traffic volumes across Wyoming. The logistic regression model was also verified and shown to have a prediction accuracy ranging from 78% to 89%. The travel demand model (TDM) was developed using standard factors and trip rates in the NCHRP Report 365. The TDM was implemented for four south eastern counties in Wyoming. The model was then verified and calibrated by comparing actual traffic volumes to those generated by the model. The calibrated model had percentage root mean square error (%RMSE) and R square values of 50.33% and 74% respectively. The dissertation compared the three models with respect to cost-effectiveness, ease of use, and accuracy and recommended the travel demand model for implementation across Wyoming. The regression models were recommended for applications requiring quick traffic volume estimations and for which lower levels of accuracy are acceptable.
Author: United States. Bureau of Public Roads
Publisher:
ISBN:
Category : Traffic estimation
Languages : en
Pages : 74
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