Divisive Analysis (DIANA) of hierarchical clustering and GPS data for level of service criteria of urban streets

Level of Service (LOS) for heterogeneous traffic flow on urban streets is not well defined in Indian context. Hence in this study an attempt is taken to classify urban road networks into number of street classes and average travel speeds on street segments into LOS categories. Divisive Analysis (DIA...

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Main Authors: Ashish Kumar Patnaik, Prasanta Kumar Bhuyan, K.V. Krishna Rao
Format: Article
Language:English
Published: Elsevier 2016-03-01
Series:Alexandria Engineering Journal
Subjects:
GPS
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016815001933
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spelling doaj-c32b038e6f64480d9cd2845603983b322021-06-02T03:47:27ZengElsevierAlexandria Engineering Journal1110-01682016-03-0155140741810.1016/j.aej.2015.11.003Divisive Analysis (DIANA) of hierarchical clustering and GPS data for level of service criteria of urban streetsAshish Kumar Patnaik0Prasanta Kumar Bhuyan1K.V. Krishna Rao2Department of Civil Engineering, National Institute of Technology, Rourkela, 769008, IndiaDepartment of Civil Engineering, National Institute of Technology, Rourkela, 769008, IndiaDepartment of Civil Engineering, IIT Bombay, Powai, Mumbai, Maharastra 400076, IndiaLevel of Service (LOS) for heterogeneous traffic flow on urban streets is not well defined in Indian context. Hence in this study an attempt is taken to classify urban road networks into number of street classes and average travel speeds on street segments into LOS categories. Divisive Analysis (DIANA) Clustering is used for such classification of large amount of speed data collected using GPS receiver. DIANA algorithm and silhouette validation parameter are used to classify Free Flow Speeds (FFS) into optimal number of classes and the same algorithm is applied on speed data to determine ranges of different LOS categories. Speed ranges for LOS categories (A–F) expressed in percentage of FFS are found to be 90, 70, 50, 40, 25 and 20–25 respectively in the present study. On the other hand, in HCM (2000) it has been mentioned these values are 85 and above, 67–85, 50–67, 40–50, 30–40 and 30 and less percent respectively.http://www.sciencedirect.com/science/article/pii/S1110016815001933Urban streetLevel of Service (LOS)Free flow speed (FFS)GPSDIANA
collection DOAJ
language English
format Article
sources DOAJ
author Ashish Kumar Patnaik
Prasanta Kumar Bhuyan
K.V. Krishna Rao
spellingShingle Ashish Kumar Patnaik
Prasanta Kumar Bhuyan
K.V. Krishna Rao
Divisive Analysis (DIANA) of hierarchical clustering and GPS data for level of service criteria of urban streets
Alexandria Engineering Journal
Urban street
Level of Service (LOS)
Free flow speed (FFS)
GPS
DIANA
author_facet Ashish Kumar Patnaik
Prasanta Kumar Bhuyan
K.V. Krishna Rao
author_sort Ashish Kumar Patnaik
title Divisive Analysis (DIANA) of hierarchical clustering and GPS data for level of service criteria of urban streets
title_short Divisive Analysis (DIANA) of hierarchical clustering and GPS data for level of service criteria of urban streets
title_full Divisive Analysis (DIANA) of hierarchical clustering and GPS data for level of service criteria of urban streets
title_fullStr Divisive Analysis (DIANA) of hierarchical clustering and GPS data for level of service criteria of urban streets
title_full_unstemmed Divisive Analysis (DIANA) of hierarchical clustering and GPS data for level of service criteria of urban streets
title_sort divisive analysis (diana) of hierarchical clustering and gps data for level of service criteria of urban streets
publisher Elsevier
series Alexandria Engineering Journal
issn 1110-0168
publishDate 2016-03-01
description Level of Service (LOS) for heterogeneous traffic flow on urban streets is not well defined in Indian context. Hence in this study an attempt is taken to classify urban road networks into number of street classes and average travel speeds on street segments into LOS categories. Divisive Analysis (DIANA) Clustering is used for such classification of large amount of speed data collected using GPS receiver. DIANA algorithm and silhouette validation parameter are used to classify Free Flow Speeds (FFS) into optimal number of classes and the same algorithm is applied on speed data to determine ranges of different LOS categories. Speed ranges for LOS categories (A–F) expressed in percentage of FFS are found to be 90, 70, 50, 40, 25 and 20–25 respectively in the present study. On the other hand, in HCM (2000) it has been mentioned these values are 85 and above, 67–85, 50–67, 40–50, 30–40 and 30 and less percent respectively.
topic Urban street
Level of Service (LOS)
Free flow speed (FFS)
GPS
DIANA
url http://www.sciencedirect.com/science/article/pii/S1110016815001933
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