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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Linköpings universitet, Kommunikations- och transportsystem
2018
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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 |
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English |
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Others
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Route choice Map matching Route set generation GPS traffic observations Inferring paths from GPS observations Transport Systems and Logistics Transportteknik och logistik |
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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 |
_version_ |
1718725231431909376 |