Hybrid Approach for Urban Roads Classification Based on GPS Tracks and Road Subsegments Data

Official road classification is used for general purposes but for deep traffic analysis this classification is not sufficient. Today there are efficient ways to collect large amounts of data from multiple sources that can be used for different causes. These large amounts of data cannot be analysed w...

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Main Authors: Ivana Ćavar, Zvonko Kavran, Marjana Petrović
Format: Article
Language:English
Published: University of Zagreb, Faculty of Transport and Traffic Sciences 2011-07-01
Series:Promet (Zagreb)
Online Access:http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/131
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author Ivana Ćavar
Zvonko Kavran
Marjana Petrović
author_facet Ivana Ćavar
Zvonko Kavran
Marjana Petrović
author_sort Ivana Ćavar
collection DOAJ
description Official road classification is used for general purposes but for deep traffic analysis this classification is not sufficient. Today there are efficient ways to collect large amounts of data from multiple sources that can be used for different causes. These large amounts of data cannot be analysed with traditional methods and new state-of-the-art algorithms should be used. The paper presents the methodology for urban road classification based on GPS (Global Positioning System) vehicle tracks and data on infrastructural characteristics of road subsegments. The process of defining road categories includes data collection and analysis, data cleansing and fusion, multiple regression, principal component analysis (PCA) as well as cross-validation and k-nearest neighbour (kNN) classification procedure. Results of such continuum can be used as base for further traffic analysis as travel time prediction, optimal route detection etc.
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spelling doaj.art-ce4f40f550e7444083af06201c4d2f9b2022-12-21T18:41:14ZengUniversity of Zagreb, Faculty of Transport and Traffic SciencesPromet (Zagreb)0353-53201848-40692011-07-0123428929610.7307/ptt.v23i4.13138Hybrid Approach for Urban Roads Classification Based on GPS Tracks and Road Subsegments DataIvana ĆavarZvonko KavranMarjana PetrovićOfficial road classification is used for general purposes but for deep traffic analysis this classification is not sufficient. Today there are efficient ways to collect large amounts of data from multiple sources that can be used for different causes. These large amounts of data cannot be analysed with traditional methods and new state-of-the-art algorithms should be used. The paper presents the methodology for urban road classification based on GPS (Global Positioning System) vehicle tracks and data on infrastructural characteristics of road subsegments. The process of defining road categories includes data collection and analysis, data cleansing and fusion, multiple regression, principal component analysis (PCA) as well as cross-validation and k-nearest neighbour (kNN) classification procedure. Results of such continuum can be used as base for further traffic analysis as travel time prediction, optimal route detection etc.http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/131
spellingShingle Ivana Ćavar
Zvonko Kavran
Marjana Petrović
Hybrid Approach for Urban Roads Classification Based on GPS Tracks and Road Subsegments Data
Promet (Zagreb)
title Hybrid Approach for Urban Roads Classification Based on GPS Tracks and Road Subsegments Data
title_full Hybrid Approach for Urban Roads Classification Based on GPS Tracks and Road Subsegments Data
title_fullStr Hybrid Approach for Urban Roads Classification Based on GPS Tracks and Road Subsegments Data
title_full_unstemmed Hybrid Approach for Urban Roads Classification Based on GPS Tracks and Road Subsegments Data
title_short Hybrid Approach for Urban Roads Classification Based on GPS Tracks and Road Subsegments Data
title_sort hybrid approach for urban roads classification based on gps tracks and road subsegments data
url http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/131
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