Modeling the effects of real time traffic information on travel behavior: A case study of Istanbul Technical University.
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| Title: | Modeling the effects of real time traffic information on travel behavior: A case study of Istanbul Technical University. |
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| Authors: | Gokasar, Ilgin1 ilgin.gokasar@boun.edu.tr, Bakioglu, Gozde1 bakioglugo@itu.edu.tr |
| Source: | Transportation Research: Part F. Oct2018, Vol. 58, p881-892. 12p. |
| Subjects: | Real-time control, Traffic engineering software, Mobile communication systems, Socioeconomics, Commuters, Global Positioning System |
| Abstract: | Highlights • Driver behavior under the real-time information through traffic apps is studied. • MNL model for travel and commuter responses to traffic information is estimated. • The outcomes are analyzed separately for self-driving and public transit commutes. • The results could help developing vehicular communication systems such as V2I. Abstract This article adds to the literature on the investigation of choice behavior of travelers under the real-time traffic information acquired through some traffic applications such as GPS navigation devices for car, mobile traffic applications and radio traffic reports on traveler behavior on highways. Self-deviced survey of travelers was conducted for the civil engineering undergraduate – graduate students, academicians and supporting staff at Istanbul Technical University, Turkey in 2016. Multinomial logit mode choice model of the decision making for travel and commuter responses to traffic information were estimated separately in two different commute modes, including private cars and public transit. The attributes that influence travelers’ decision-making patterns were broadly categorized into three groups, which were socioeconomics, travel and technological characteristics. The analysis of the results indicated that travelers who obtained traffic information from some traffic applications were more likely to switch their route with respect to their different characteristics. Moreover, the travel pattern of the commuters regarding whether to change their choice of route or not varied with respect to their aforementioned characteristics as well as their selection of commute modes. The results of this research could also help to develop vehicular communication systems such as vehicle-to-infrastructure V2I communications. [ABSTRACT FROM AUTHOR] |
| Copyright of Transportation Research: Part F is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 131664798 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Modeling the effects of real time traffic information on travel behavior: A case study of Istanbul Technical University. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Gokasar%2C+Ilgin%22">Gokasar, Ilgin</searchLink><relatesTo>1</relatesTo><i> ilgin.gokasar@boun.edu.tr</i><br /><searchLink fieldCode="AR" term="%22Bakioglu%2C+Gozde%22">Bakioglu, Gozde</searchLink><relatesTo>1</relatesTo><i> bakioglugo@itu.edu.tr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Transportation+Research%3A+Part+F%22">Transportation Research: Part F</searchLink>. Oct2018, Vol. 58, p881-892. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Real-time+control%22">Real-time control</searchLink><br /><searchLink fieldCode="DE" term="%22Traffic+engineering+software%22">Traffic engineering software</searchLink><br /><searchLink fieldCode="DE" term="%22Mobile+communication+systems%22">Mobile communication systems</searchLink><br /><searchLink fieldCode="DE" term="%22Socioeconomics%22">Socioeconomics</searchLink><br /><searchLink fieldCode="DE" term="%22Commuters%22">Commuters</searchLink><br /><searchLink fieldCode="DE" term="%22Global+Positioning+System%22">Global Positioning System</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Highlights • Driver behavior under the real-time information through traffic apps is studied. • MNL model for travel and commuter responses to traffic information is estimated. • The outcomes are analyzed separately for self-driving and public transit commutes. • The results could help developing vehicular communication systems such as V2I. Abstract This article adds to the literature on the investigation of choice behavior of travelers under the real-time traffic information acquired through some traffic applications such as GPS navigation devices for car, mobile traffic applications and radio traffic reports on traveler behavior on highways. Self-deviced survey of travelers was conducted for the civil engineering undergraduate – graduate students, academicians and supporting staff at Istanbul Technical University, Turkey in 2016. Multinomial logit mode choice model of the decision making for travel and commuter responses to traffic information were estimated separately in two different commute modes, including private cars and public transit. The attributes that influence travelers’ decision-making patterns were broadly categorized into three groups, which were socioeconomics, travel and technological characteristics. The analysis of the results indicated that travelers who obtained traffic information from some traffic applications were more likely to switch their route with respect to their different characteristics. Moreover, the travel pattern of the commuters regarding whether to change their choice of route or not varied with respect to their aforementioned characteristics as well as their selection of commute modes. The results of this research could also help to develop vehicular communication systems such as vehicle-to-infrastructure V2I communications. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Transportation Research: Part F is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=131664798 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.trf.2018.07.013 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 881 Subjects: – SubjectFull: Real-time control Type: general – SubjectFull: Traffic engineering software Type: general – SubjectFull: Mobile communication systems Type: general – SubjectFull: Socioeconomics Type: general – SubjectFull: Commuters Type: general – SubjectFull: Global Positioning System Type: general Titles: – TitleFull: Modeling the effects of real time traffic information on travel behavior: A case study of Istanbul Technical University. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gokasar, Ilgin – PersonEntity: Name: NameFull: Bakioglu, Gozde IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2018 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 13698478 Numbering: – Type: volume Value: 58 Titles: – TitleFull: Transportation Research: Part F Type: main |
| ResultId | 1 |
