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    Exploring Maximum and Minimum Operating Speed Positions on Road Geometric Elements Using Continuous Speed Data

    Source: Journal of Transportation Engineering, Part A: Systems:;2021:;Volume ( 147 ):;issue: 008::page 04021039-1
    Author:
    Vinayak Malaghan
    ,
    Digvijay S. Pawar
    ,
    Hussein Dia
    DOI: 10.1061/JTEPBS.0000539
    Publisher: ASCE
    Abstract: Speed prediction models are commonly developed using maximum and minimum operating speeds measured at or within specific locations on the tangents and horizontal curves, respectively. However, the actual distribution of the maximum and minimum operating speed positions on the entire lengths of the geometric elements (tangents and curves) have not been rigorously studied and, therefore, present opportunities to refine further and develop robust speed prediction models. This paper presents the probability distributions (normal, lognormal, gamma, and Weibull) for speed positions on the entire tangent and curve lengths using continuous speed data recorded on two-lane rural highways in India. The findings showed that the data could be best approximated for a large number of horizontal curves and tangents using the normal and Weibull distributions. Also, the results showed that the operating speeds measured at the midpoint of the horizontal curves overestimate the actual minimum operating speeds measured over the entire curve length of horizontal curves between 1.2 and 1.9  km/h. Similarly, maximum operating speeds measured at or within a 200-m length from the point of curvature into the approach tangents underestimate the maximum operating speeds measured over the entire length of tangents between 1.33 and 1.77  km/h. The results of this study highlight the importance of considering the entire length of geometric elements in developing accurate speed prediction models for use in evaluating highway design consistency.
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      Exploring Maximum and Minimum Operating Speed Positions on Road Geometric Elements Using Continuous Speed Data

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    contributor authorVinayak Malaghan
    contributor authorDigvijay S. Pawar
    contributor authorHussein Dia
    date accessioned2022-02-01T00:04:07Z
    date available2022-02-01T00:04:07Z
    date issued8/1/2021
    identifier otherJTEPBS.0000539.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4270856
    description abstractSpeed prediction models are commonly developed using maximum and minimum operating speeds measured at or within specific locations on the tangents and horizontal curves, respectively. However, the actual distribution of the maximum and minimum operating speed positions on the entire lengths of the geometric elements (tangents and curves) have not been rigorously studied and, therefore, present opportunities to refine further and develop robust speed prediction models. This paper presents the probability distributions (normal, lognormal, gamma, and Weibull) for speed positions on the entire tangent and curve lengths using continuous speed data recorded on two-lane rural highways in India. The findings showed that the data could be best approximated for a large number of horizontal curves and tangents using the normal and Weibull distributions. Also, the results showed that the operating speeds measured at the midpoint of the horizontal curves overestimate the actual minimum operating speeds measured over the entire curve length of horizontal curves between 1.2 and 1.9  km/h. Similarly, maximum operating speeds measured at or within a 200-m length from the point of curvature into the approach tangents underestimate the maximum operating speeds measured over the entire length of tangents between 1.33 and 1.77  km/h. The results of this study highlight the importance of considering the entire length of geometric elements in developing accurate speed prediction models for use in evaluating highway design consistency.
    publisherASCE
    titleExploring Maximum and Minimum Operating Speed Positions on Road Geometric Elements Using Continuous Speed Data
    typeJournal Paper
    journal volume147
    journal issue8
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/JTEPBS.0000539
    journal fristpage04021039-1
    journal lastpage04021039-19
    page19
    treeJournal of Transportation Engineering, Part A: Systems:;2021:;Volume ( 147 ):;issue: 008
    contenttypeFulltext
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