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    Microscopic Analysis of Service Delay at Uncontrolled Intersections in Mixed Traffic Conditions

    Source: Journal of Transportation Engineering, Part A: Systems:;2009:;Volume ( 135 ):;issue: 006
    Author:
    Satish Chandra
    ,
    Abhishek Agrawal
    ,
    Ashalatha Rajamma
    DOI: 10.1061/(ASCE)0733-947X(2009)135:6(323)
    Publisher: American Society of Civil Engineers
    Abstract: Several studies are available in the literature on delays at unsignalized intersections under homogeneous and lane-disciplined traffic conditions. The present study introduces a service delay model based on microscopic analysis of delay data under mixed traffic conditions. The data for the study were collected at five uncontrolled intersections located in different parts of India. The data were divided into several parts according to the category of the subject approach vehicle and type of the movement. The conflicting traffic was measured under two categories: light and heavy vehicles. The proportion of heavy vehicles in the conflicting traffic was found to greatly affect the service delay. The proposed service delay model is compared with Kyte’s linear model for service delay estimation.
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      Microscopic Analysis of Service Delay at Uncontrolled Intersections in Mixed Traffic Conditions

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    http://yetl.yabesh.ir/yetl1/handle/yetl/38133
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    • Journal of Transportation Engineering, Part A: Systems

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    contributor authorSatish Chandra
    contributor authorAbhishek Agrawal
    contributor authorAshalatha Rajamma
    date accessioned2017-05-08T21:05:14Z
    date available2017-05-08T21:05:14Z
    date copyrightJune 2009
    date issued2009
    identifier other%28asce%290733-947x%282009%29135%3A6%28323%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/38133
    description abstractSeveral studies are available in the literature on delays at unsignalized intersections under homogeneous and lane-disciplined traffic conditions. The present study introduces a service delay model based on microscopic analysis of delay data under mixed traffic conditions. The data for the study were collected at five uncontrolled intersections located in different parts of India. The data were divided into several parts according to the category of the subject approach vehicle and type of the movement. The conflicting traffic was measured under two categories: light and heavy vehicles. The proportion of heavy vehicles in the conflicting traffic was found to greatly affect the service delay. The proposed service delay model is compared with Kyte’s linear model for service delay estimation.
    publisherAmerican Society of Civil Engineers
    titleMicroscopic Analysis of Service Delay at Uncontrolled Intersections in Mixed Traffic Conditions
    typeJournal Paper
    journal volume135
    journal issue6
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/(ASCE)0733-947X(2009)135:6(323)
    treeJournal of Transportation Engineering, Part A: Systems:;2009:;Volume ( 135 ):;issue: 006
    contenttypeFulltext
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