Analysis of vehicle route choice during incidents

The use of GPS observations for investigating routing behaviors can be a good alternative to using more traditional traffic simulation models. In this paper, a method for inferring paths from GPS observations is proposed. Further, a route set generation algorithm is implemented. The inferred trips a...

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Bibliographic Details
Main Authors: Janmyr, Joakim, Wadell, Daniel
Format: Others
Language:English
Published: Linköpings universitet, Kommunikations- och transportsystem 2018
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-150142
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spelling ndltd-UPSALLA1-oai-DiVA.org-liu-1501422018-08-15T05:39:55ZAnalysis of vehicle route choice during incidentsengJanmyr, JoakimWadell, DanielLinköpings universitet, Kommunikations- och transportsystemLinköpings universitet, Tekniska fakultetenLinköpings universitet, Kommunikations- och transportsystemLinköpings universitet, Tekniska fakulteten2018Route choiceMap matchingRoute set generationGPS traffic observationsInferring paths from GPS observationsTransport Systems and LogisticsTransportteknik och logistikThe use of GPS observations for investigating routing behaviors can be a good alternative to using more traditional traffic simulation models. In this paper, a method for inferring paths from GPS observations is proposed. Further, a route set generation algorithm is implemented. The inferred trips are used for the calibration of the parameters in the route set generation algorithm. The investigated network is part of the Interstate 210 freeway east of Los Angeles, USA. The results shows significant differences in number of eastbound travelers choosing to travel north of, south of, and on the freeway during regular days compared with the incident day. The travel times are also higher during the incident day. Different travel times as costs on the links have a large impact on the results from the route set generation algorithm. The conclusion is that the implemented methods can be used to gain a better understanding about routing behavior. However, to use the results for decision making, more input data with better precision should be used. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-150142application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic Route choice
Map matching
Route set generation
GPS traffic observations
Inferring paths from GPS observations
Transport Systems and Logistics
Transportteknik och logistik
spellingShingle Route choice
Map matching
Route set generation
GPS traffic observations
Inferring paths from GPS observations
Transport Systems and Logistics
Transportteknik och logistik
Janmyr, Joakim
Wadell, Daniel
Analysis of vehicle route choice during incidents
description The use of GPS observations for investigating routing behaviors can be a good alternative to using more traditional traffic simulation models. In this paper, a method for inferring paths from GPS observations is proposed. Further, a route set generation algorithm is implemented. The inferred trips are used for the calibration of the parameters in the route set generation algorithm. The investigated network is part of the Interstate 210 freeway east of Los Angeles, USA. The results shows significant differences in number of eastbound travelers choosing to travel north of, south of, and on the freeway during regular days compared with the incident day. The travel times are also higher during the incident day. Different travel times as costs on the links have a large impact on the results from the route set generation algorithm. The conclusion is that the implemented methods can be used to gain a better understanding about routing behavior. However, to use the results for decision making, more input data with better precision should be used.
author Janmyr, Joakim
Wadell, Daniel
author_facet Janmyr, Joakim
Wadell, Daniel
author_sort Janmyr, Joakim
title Analysis of vehicle route choice during incidents
title_short Analysis of vehicle route choice during incidents
title_full Analysis of vehicle route choice during incidents
title_fullStr Analysis of vehicle route choice during incidents
title_full_unstemmed Analysis of vehicle route choice during incidents
title_sort analysis of vehicle route choice during incidents
publisher Linköpings universitet, Kommunikations- och transportsystem
publishDate 2018
url http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-150142
work_keys_str_mv AT janmyrjoakim analysisofvehicleroutechoiceduringincidents
AT wadelldaniel analysisofvehicleroutechoiceduringincidents
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