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    Recurrence Theory–Based Platoon Analysis under Indian Traffic Conditions

    Source: Journal of Transportation Engineering, Part A: Systems:;2018:;Volume ( 144 ):;issue: 008
    Author:
    Badhrudeen Mohamed;Vanajakshi Lelitha;Subramanian Shankar C.;Sharma Anuj;Thomas Helen
    DOI: 10.1061/JTEPBS.0000165
    Publisher: American Society of Civil Engineers
    Abstract: The phenomenon of platoon dispersion deals with the spreading out of groups of vehicles discharged together from a signal (platoon) as they move along the roadway during normal traffic operations. Understanding and analyzing this behavior is important in efficient traffic operations and management. There are different platoon dispersion models reported in the literature, out of which Robertson’s model is one of the oldest and widely used. However, all the existing studies were from homogeneous and lane-based traffic conditions and few studies studied platoon dispersion behavior under traffic conditions such as those existing in India. In this study, data were collected in a typical Indian urban arterial road. To account for the heterogeneous and laneless Indian traffic, Roberston’s model was modified and an optimization approach was used to obtain the coefficients. The proposed model’s performance was evaluated and compared with the original Robertson’s model after calibrating for the specific traffic conditions under consideration. Platoon parameters were also estimated using both proposed and calibrated models and the results were compared, which showed a better performance of the proposed model compared to the calibrated Robertson’s model. Though the proposed model was tested for heterogeneous and laneless traffic data, it is in no way constraining and is generic enough to be applied for other traffic conditions.
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      Recurrence Theory–Based Platoon Analysis under Indian Traffic Conditions

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    contributor authorBadhrudeen Mohamed;Vanajakshi Lelitha;Subramanian Shankar C.;Sharma Anuj;Thomas Helen
    date accessioned2019-02-26T07:37:36Z
    date available2019-02-26T07:37:36Z
    date issued2018
    identifier otherJTEPBS.0000165.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4248356
    description abstractThe phenomenon of platoon dispersion deals with the spreading out of groups of vehicles discharged together from a signal (platoon) as they move along the roadway during normal traffic operations. Understanding and analyzing this behavior is important in efficient traffic operations and management. There are different platoon dispersion models reported in the literature, out of which Robertson’s model is one of the oldest and widely used. However, all the existing studies were from homogeneous and lane-based traffic conditions and few studies studied platoon dispersion behavior under traffic conditions such as those existing in India. In this study, data were collected in a typical Indian urban arterial road. To account for the heterogeneous and laneless Indian traffic, Roberston’s model was modified and an optimization approach was used to obtain the coefficients. The proposed model’s performance was evaluated and compared with the original Robertson’s model after calibrating for the specific traffic conditions under consideration. Platoon parameters were also estimated using both proposed and calibrated models and the results were compared, which showed a better performance of the proposed model compared to the calibrated Robertson’s model. Though the proposed model was tested for heterogeneous and laneless traffic data, it is in no way constraining and is generic enough to be applied for other traffic conditions.
    publisherAmerican Society of Civil Engineers
    titleRecurrence Theory–Based Platoon Analysis under Indian Traffic Conditions
    typeJournal Paper
    journal volume144
    journal issue8
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/JTEPBS.0000165
    page4018040
    treeJournal of Transportation Engineering, Part A: Systems:;2018:;Volume ( 144 ):;issue: 008
    contenttypeFulltext
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