Author: M. R. Parker (Jr)
Publisher:
ISBN:
Category :
Languages : en
Pages : 68
Book Description
Synthesis of Speed Zoning Practices. Technical Report
Impact and Implementation of the 55-mile-per-hour Speed Limit
Author: United States. Congress. House. Committee on Public Works and Transportation. Subcommittee on Surface Transportation
Publisher:
ISBN:
Category : Speed limits
Languages : en
Pages : 832
Book Description
Publisher:
ISBN:
Category : Speed limits
Languages : en
Pages : 832
Book Description
Analysis of Speed Zoning Effectiveness. Final Report
Federally Coordinated Program of Highway Research, Development and Technology
Federally Coordinated Program of Highway Research, Development, and Technology. Annual Progress Report. Fiscal Year 1985
Design Speed, Operating Speed, and Posted Speed Practices
Author: Kay Fitzpatrick
Publisher: Transportation Research Board
ISBN: 0309087678
Category : Roads
Languages : en
Pages : 103
Book Description
Publisher: Transportation Research Board
ISBN: 0309087678
Category : Roads
Languages : en
Pages : 103
Book Description
Synthesis of Highway Practice
Author: National Cooperative Highway Research Program
Publisher:
ISBN:
Category : Highway engineering
Languages : en
Pages : 530
Book Description
Publisher:
ISBN:
Category : Highway engineering
Languages : en
Pages : 530
Book Description
Managing Speed
Author:
Publisher: Transportation Research Board
ISBN: 9780309065023
Category : Business & Economics
Languages : en
Pages : 444
Book Description
TRB Special Report 254 - Managing Speed: Review of Current Practices for Setting and Enforcing Speed Limits reviews practices for setting and enforcing speed limits on all types of roads and provides guidance to state and local governments on appropriate methods of setting speed limits and related enforcement strategies. Following an executive summary, the report is presented in six chapters and five appendices.
Publisher: Transportation Research Board
ISBN: 9780309065023
Category : Business & Economics
Languages : en
Pages : 444
Book Description
TRB Special Report 254 - Managing Speed: Review of Current Practices for Setting and Enforcing Speed Limits reviews practices for setting and enforcing speed limits on all types of roads and provides guidance to state and local governments on appropriate methods of setting speed limits and related enforcement strategies. Following an executive summary, the report is presented in six chapters and five appendices.
Highway Safety '85. A Report on Activities Under the Highway Safety Act of 1966. January 1, 1985 - December 31, 1985
Speed Zone Guidelines Using Roadway Characteristics and Area Development
Author: Robert W. Stokes
Publisher:
ISBN:
Category : Neural networks (Computer science).
Languages : en
Pages : 88
Book Description
The objective of this study was to quantify effects that selected characteristics and adjacent development patterns have on roadway speeds. Based on the results of a literature search and the availability of data for Kansas highways, twenty-seven variables were identified as possibly affecting speeds on rural state highways and thirty-two variables were identified as possibly affecting speeds on urban state highways. Speed data and data for the potential explanatory variables were collected for a total of 539 sections of state highway (186 rural and 353 urban sections). Two approaches were used to develop and test models to predict speeds on rural and urban state highways based on roadway characteristics and adjacent development patterns. The first approach was based on models in the form of multiple linear regression equations. The second approach employed artificial neural networks (ANNs) to predict highway speeds. None of the regression models were entirely satisfactory in terms of their ability to predict the 85th percentile speeds on rural and urban highways within +/-5 mph (+/-8 km/h). A number of regression models are presented, however, they should be used with caution. Two independent databases were used to train two sets of ANN models of rural and urban speeds. The first set of ANN models (Stage 1) was developed using the same data used in the regression analysis. The second set of ANN models (Stage 2) was developed using a database provided by the Kansas Department of Transportation (KDOT) Bureau of Traffic Engineering. The second database contained only those variables that KDOT believed drivers consider in selecting a driving speed. Overall, the Stage 2 ANN models developed in this study were found to perform much better than either the Stage 1 ANN models or the regression models in predicting rural and urban highway speeds.
Publisher:
ISBN:
Category : Neural networks (Computer science).
Languages : en
Pages : 88
Book Description
The objective of this study was to quantify effects that selected characteristics and adjacent development patterns have on roadway speeds. Based on the results of a literature search and the availability of data for Kansas highways, twenty-seven variables were identified as possibly affecting speeds on rural state highways and thirty-two variables were identified as possibly affecting speeds on urban state highways. Speed data and data for the potential explanatory variables were collected for a total of 539 sections of state highway (186 rural and 353 urban sections). Two approaches were used to develop and test models to predict speeds on rural and urban state highways based on roadway characteristics and adjacent development patterns. The first approach was based on models in the form of multiple linear regression equations. The second approach employed artificial neural networks (ANNs) to predict highway speeds. None of the regression models were entirely satisfactory in terms of their ability to predict the 85th percentile speeds on rural and urban highways within +/-5 mph (+/-8 km/h). A number of regression models are presented, however, they should be used with caution. Two independent databases were used to train two sets of ANN models of rural and urban speeds. The first set of ANN models (Stage 1) was developed using the same data used in the regression analysis. The second set of ANN models (Stage 2) was developed using a database provided by the Kansas Department of Transportation (KDOT) Bureau of Traffic Engineering. The second database contained only those variables that KDOT believed drivers consider in selecting a driving speed. Overall, the Stage 2 ANN models developed in this study were found to perform much better than either the Stage 1 ANN models or the regression models in predicting rural and urban highway speeds.