Predicting Directional Design Hourly Volume from Statutory Holiday Traffic

Author(s):  
Zhaobin Liu ◽  
Satish Sharma
Keyword(s):  
Author(s):  
Miloš Petković ◽  
Vladan Tubić ◽  
Nemanja Stepanović

Design hourly volume (DHV) represents one of the most significant parameters in the procedures of developing and evaluating road designs. DHV values can be accurately and precisely calculated only on the road sections with the implemented automatic traffic counters (ATCs) which constantly monitor the traffic volume. Unfortunately, many road sections do not contain ATCs primarily because of the implementation costs. Consequently, for many years, the DHV values have been defined on the basis of occasional counting and the factors related to traffic flow variability over time. However, it has been determined that this approach has significant limitations and that the predicted values considerably deviate from the actual values. Therefore, the main objective of this paper is to develop a model which will enable DHV prediction on rural roads in cases of insufficient data. The suggested model is based on the correlation between DHVs and the parameters defining the characteristics of traffic flows, that is, the relationship between the traffic volumes on design working days and non-working days, and annual average daily traffic. The results of the conducted research indicate that the application of the proposed model enables the prediction of DHV values with a significant level of data accuracy and reliability. The coefficient of determination (R2) shows that more than 98% of the variance of the calculated DHVs was explained by the observed DHV values, while the mean error ranged from 4.86% to 7.84% depending on the number of hours for which DHV was predicted.


Author(s):  
Tanweer Hasan ◽  
Robert W. Stokes

Guidelines for right-turn treatments at unsignalized intersections and driveways on rural two-lane and four-lane highways are presented. Two types of treatments, full-width lane and taper, were considered over the do-nothing radius treatment. The guidelines indicate the design hourly traffic volumes for which the benefits of right-turn treatments exceed their costs. The benefits used in the economic analysis were the operational and accident cost savings provided by right-turn treatments. The costs used in the development of the guidelines were the costs of constructing full-width right-turn lanes and tapers. The operational effects were estimated in terms of delay and excess fuel consumption experienced by through traffic due to right-turning vehicles. To account for the safety effects, the relationship between speed differential and accidents was used to estimate the reduction in right-turn, same-direction, rear-end accidents that would be expected to result from the provision of a right-turn treatment. The guidelines indicate the right-turn design hourly volume required to justify a right-turn treatment as a function of the following factors: ( a) directional design hourly volume, (b) highway operating speed, and ( c) number of lanes on the highway. Comparisons with other guidelines indicate that the range of guidelines developed are reasonable. In addition, they are more definitive than other guidelines because they account for highway operating speed and address taper treatments as well as full-width turn lanes.


1976 ◽  
Vol 3 (3) ◽  
pp. 355-371
Author(s):  
John F. Morrall ◽  
Neville Cameron ◽  
Al Werner

Trans-mountain highway capacity is sensitive to the percentage of recreational vehicles in the traffic stream, the manner in which passenger car equivalents for recreational vehicles are used in capacity computations, terrain classification, and the choice of design hourly volume. The sensitivity of capacity to these factors is demonstrated for the trans-mountain portion of the Trans-Canada highway which is a two-lane highway, characterized in many locations by long steep grades. This particular highway has a high percentage of recreational vehicles during summer months. The Highway Capacity Manual does not make any provision for the effect of such vehicles and previous highway planning studies have used the adjustment factors for trucks and buses to estimate their effect. Neglecting the effect of recreational vehicles and/or improper use of their passenger car equivalents in capacity computations can result in serious errors in the determination of highway capacity especially in mountainous areas. Further research is required in the areas of terrain definition, selection of design hourly volume, and the present concept of level of service.


Author(s):  
David Mario Capparuccini ◽  
Ardeshir Faghri ◽  
Abishai Polus ◽  
Robert E. Suarez

1987 ◽  
Vol 14 (6) ◽  
pp. 728-731 ◽  
Author(s):  
Satish C. Sharma ◽  
Jin Y. Oh ◽  
Jon J. Wyatt

By considering the thirtieth highest hourly volume (30HV) as the design hour volume, this study reexamines a commonly used method of predicting the 30HV as a function of the annual average daily traffice (AADT) volume. Based on Alberta's highway system data, some common limitations of the traditional 30HV–AADT model are pointed out. Also included in the analysis presented is a proposed alternative model which utilizes July/August traffic data to estimate the design hour volume. The alternative model appears to provide more accurate prediction results and it also eliminates the need of subjectively classifying the roads into various groups as required by the 30HV–AADT method. Key words: annual average daily traffice, design hour volume, highway design, road classification, traffic volume counts, transportation.


2017 ◽  
Vol 63 (4) ◽  
pp. 35-50 ◽  
Author(s):  
M. Spławińska

Abstract The characteristics of seasonal variations in traffic volumes are used for a variety of purposes, for example to determine the basic parameters describing annual average daily traffic – AADT, and design hourly volume – DHV, analyses of road network reliability, and traffic management. Via these analyses proper classification of road sections into appropriate seasonal factor groups (SFGs) has a decisive influence on results. This article, on the basis of computational experiments (models of artificial neural networks, discriminatory analysis), aims to identify which factors have the greatest impact on the allocation of a section of road to the corresponding SFG, based on short-term measurements. These factors are presented as qualitative data: the Polish region, spatial relationships, functions of road, cross-sections, technical class; and quantitative data: rush hour traffic volume.


Author(s):  
Sunghan Lim ◽  
◽  
Seungki Ryu ◽  
Sangcheol Byun ◽  
Hakyong Moon

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