Platoon Interactions and Real-World Traffic Simulation and Validation Based on the LWR-IM.

Platoon based traffic flow models form the underlying theoretical framework in traffic simulation tools. They are essentially important in facilitating efficient performance calculation and evaluation in urban traffic networks. For this purpose, a new platoon-based macroscopic model called the LWR-I...

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Main Authors: Kok Mun Ng, Mamun Bin Ibne Reaz
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4701377?pdf=render
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spelling doaj-d007dfbb355f410bb00514d3227f90752020-11-24T21:50:34ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-01111e014479810.1371/journal.pone.0144798Platoon Interactions and Real-World Traffic Simulation and Validation Based on the LWR-IM.Kok Mun NgMamun Bin Ibne ReazPlatoon based traffic flow models form the underlying theoretical framework in traffic simulation tools. They are essentially important in facilitating efficient performance calculation and evaluation in urban traffic networks. For this purpose, a new platoon-based macroscopic model called the LWR-IM has been developed in [1]. Preliminary analytical validation conducted previously has proven the feasibility of the model. In this paper, the LWR-IM is further enhanced with algorithms that describe platoon interactions in urban arterials. The LWR-IM and the proposed platoon interaction algorithms are implemented in the real-world class I and class II urban arterials. Another purpose of the work is to perform quantitative validation to investigate the validity and ability of the LWR-IM and its underlying algorithms to describe platoon interactions and simulate performance indices that closely resemble the real traffic situations. The quantitative validation of the LWR-IM is achieved by performing a two-sampled t-test on queues simulated by the LWR-IM and real queues observed at these real-world locations. The results reveal insignificant differences of simulated queues with real queues where the p-values produced concluded that the null hypothesis cannot be rejected. Thus, the quantitative validation further proved the validity of the LWR-IM and the embedded platoon interactions algorithm for the intended purpose.http://europepmc.org/articles/PMC4701377?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Kok Mun Ng
Mamun Bin Ibne Reaz
spellingShingle Kok Mun Ng
Mamun Bin Ibne Reaz
Platoon Interactions and Real-World Traffic Simulation and Validation Based on the LWR-IM.
PLoS ONE
author_facet Kok Mun Ng
Mamun Bin Ibne Reaz
author_sort Kok Mun Ng
title Platoon Interactions and Real-World Traffic Simulation and Validation Based on the LWR-IM.
title_short Platoon Interactions and Real-World Traffic Simulation and Validation Based on the LWR-IM.
title_full Platoon Interactions and Real-World Traffic Simulation and Validation Based on the LWR-IM.
title_fullStr Platoon Interactions and Real-World Traffic Simulation and Validation Based on the LWR-IM.
title_full_unstemmed Platoon Interactions and Real-World Traffic Simulation and Validation Based on the LWR-IM.
title_sort platoon interactions and real-world traffic simulation and validation based on the lwr-im.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2016-01-01
description Platoon based traffic flow models form the underlying theoretical framework in traffic simulation tools. They are essentially important in facilitating efficient performance calculation and evaluation in urban traffic networks. For this purpose, a new platoon-based macroscopic model called the LWR-IM has been developed in [1]. Preliminary analytical validation conducted previously has proven the feasibility of the model. In this paper, the LWR-IM is further enhanced with algorithms that describe platoon interactions in urban arterials. The LWR-IM and the proposed platoon interaction algorithms are implemented in the real-world class I and class II urban arterials. Another purpose of the work is to perform quantitative validation to investigate the validity and ability of the LWR-IM and its underlying algorithms to describe platoon interactions and simulate performance indices that closely resemble the real traffic situations. The quantitative validation of the LWR-IM is achieved by performing a two-sampled t-test on queues simulated by the LWR-IM and real queues observed at these real-world locations. The results reveal insignificant differences of simulated queues with real queues where the p-values produced concluded that the null hypothesis cannot be rejected. Thus, the quantitative validation further proved the validity of the LWR-IM and the embedded platoon interactions algorithm for the intended purpose.
url http://europepmc.org/articles/PMC4701377?pdf=render
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AT mamunbinibnereaz platooninteractionsandrealworldtrafficsimulationandvalidationbasedonthelwrim
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