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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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