Academic Journal
Driving Style Classification and the Effectiveness of Advanced Driving Assistance Systems: Differences between Teen and Adult Drivers
العنوان: | Driving Style Classification and the Effectiveness of Advanced Driving Assistance Systems: Differences between Teen and Adult Drivers |
---|---|
المؤلفون: | Ammar, Dania, Li, Meitang, Yu, Bo, Guo, Huizhong, Lin, Brian, Kusari, Arpan, Pulver, Elizabeth, Bao, Shan |
المصدر: | Transportation Research Record: Journal of the Transportation Research Board ; volume 2677, issue 12, page 731-742 ; ISSN 0361-1981 2169-4052 |
بيانات النشر: | SAGE Publications |
سنة النشر: | 2023 |
الوصف: | Advanced driving assistance systems (ADAS) are designed to reduce potential crash risks and enhance driving safety. However, drivers’ interactions with ADAS may vary depending on their individual driving styles and characteristics. This study proposes a novel approach to classifying driving styles and explores how age and gender affect interactions with ADAS. The study utilized two naturalistic driving data sets comprising 148 drivers from four age groups: teens; younger adults; middle-aged adults; and older adults. Data were collected during two periods: baseline (without ADAS); and treatment (with ADAS). First, the K-means clustering algorithm was employed to divide trips into one conservative and two aggressive groups based on three driving behavior metrics: tailgating; speeding; and lane-changing. The aggressive-trip ratios were then calculated for each driver during each of the two periods. The Bayesian Gaussian mixture model was applied to determine the threshold values of the aggressive-trip ratios to classify drivers as conservative, moderate, or aggressive during each period. This allowed for identifying changes in driving style upon the activation of ADAS. The subsequent multinomial logistic regression model results showed that driving styles vary across age groups, with teens being the most aggressive drivers. Certain changes in driving style were observed, with some conservative drivers becoming aggressive or moderate and some aggressive drivers becoming conservative or moderate, but these differences were statistically non-significant. The findings of this study indicate that warning-based ADAS may not elicit significant changes in driving style, particularly among teenage drivers who are consistently the most aggressive drivers. |
نوع الوثيقة: | article in journal/newspaper |
اللغة: | English |
DOI: | 10.1177/03611981231169525 |
الاتاحة: | https://doi.org/10.1177/03611981231169525 https://journals.sagepub.com/doi/pdf/10.1177/03611981231169525 https://journals.sagepub.com/doi/full-xml/10.1177/03611981231169525 |
Rights: | https://journals.sagepub.com/page/policies/text-and-data-mining-license |
رقم الانضمام: | edsbas.89FC8ED8 |
قاعدة البيانات: | BASE |
ResultId |
1 |
---|---|
Header |
edsbas BASE edsbas.89FC8ED8 961 3 Academic Journal academicJournal 960.976379394531 |
PLink |
https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsbas&AN=edsbas.89FC8ED8&custid=s6537998&authtype=sso |
FullText |
Array
(
[Availability] => 0
)
Array ( [0] => Array ( [Url] => https://doi.org/10.1177/03611981231169525# [Name] => EDS - BASE [Category] => fullText [Text] => View record in BASE [MouseOverText] => View record in BASE ) ) |
Items |
Array
(
[Name] => Title
[Label] => Title
[Group] => Ti
[Data] => Driving Style Classification and the Effectiveness of Advanced Driving Assistance Systems: Differences between Teen and Adult Drivers
)
Array ( [Name] => Author [Label] => Authors [Group] => Au [Data] => <searchLink fieldCode="AR" term="%22Ammar%2C+Dania%22">Ammar, Dania</searchLink><br /><searchLink fieldCode="AR" term="%22Li%2C+Meitang%22">Li, Meitang</searchLink><br /><searchLink fieldCode="AR" term="%22Yu%2C+Bo%22">Yu, Bo</searchLink><br /><searchLink fieldCode="AR" term="%22Guo%2C+Huizhong%22">Guo, Huizhong</searchLink><br /><searchLink fieldCode="AR" term="%22Lin%2C+Brian%22">Lin, Brian</searchLink><br /><searchLink fieldCode="AR" term="%22Kusari%2C+Arpan%22">Kusari, Arpan</searchLink><br /><searchLink fieldCode="AR" term="%22Pulver%2C+Elizabeth%22">Pulver, Elizabeth</searchLink><br /><searchLink fieldCode="AR" term="%22Bao%2C+Shan%22">Bao, Shan</searchLink> ) Array ( [Name] => TitleSource [Label] => Source [Group] => Src [Data] => Transportation Research Record: Journal of the Transportation Research Board ; volume 2677, issue 12, page 731-742 ; ISSN 0361-1981 2169-4052 ) Array ( [Name] => Publisher [Label] => Publisher Information [Group] => PubInfo [Data] => SAGE Publications ) Array ( [Name] => DatePubCY [Label] => Publication Year [Group] => Date [Data] => 2023 ) Array ( [Name] => Abstract [Label] => Description [Group] => Ab [Data] => Advanced driving assistance systems (ADAS) are designed to reduce potential crash risks and enhance driving safety. However, drivers’ interactions with ADAS may vary depending on their individual driving styles and characteristics. This study proposes a novel approach to classifying driving styles and explores how age and gender affect interactions with ADAS. The study utilized two naturalistic driving data sets comprising 148 drivers from four age groups: teens; younger adults; middle-aged adults; and older adults. Data were collected during two periods: baseline (without ADAS); and treatment (with ADAS). First, the K-means clustering algorithm was employed to divide trips into one conservative and two aggressive groups based on three driving behavior metrics: tailgating; speeding; and lane-changing. The aggressive-trip ratios were then calculated for each driver during each of the two periods. The Bayesian Gaussian mixture model was applied to determine the threshold values of the aggressive-trip ratios to classify drivers as conservative, moderate, or aggressive during each period. This allowed for identifying changes in driving style upon the activation of ADAS. The subsequent multinomial logistic regression model results showed that driving styles vary across age groups, with teens being the most aggressive drivers. Certain changes in driving style were observed, with some conservative drivers becoming aggressive or moderate and some aggressive drivers becoming conservative or moderate, but these differences were statistically non-significant. The findings of this study indicate that warning-based ADAS may not elicit significant changes in driving style, particularly among teenage drivers who are consistently the most aggressive drivers. ) Array ( [Name] => TypeDocument [Label] => Document Type [Group] => TypDoc [Data] => article in journal/newspaper ) Array ( [Name] => Language [Label] => Language [Group] => Lang [Data] => English ) Array ( [Name] => DOI [Label] => DOI [Group] => ID [Data] => 10.1177/03611981231169525 ) Array ( [Name] => URL [Label] => Availability [Group] => URL [Data] => https://doi.org/10.1177/03611981231169525<br />https://journals.sagepub.com/doi/pdf/10.1177/03611981231169525<br />https://journals.sagepub.com/doi/full-xml/10.1177/03611981231169525 ) Array ( [Name] => Copyright [Label] => Rights [Group] => Cpyrght [Data] => https://journals.sagepub.com/page/policies/text-and-data-mining-license ) Array ( [Name] => AN [Label] => Accession Number [Group] => ID [Data] => edsbas.89FC8ED8 ) |
RecordInfo |
Array
(
[BibEntity] => Array
(
[Identifiers] => Array
(
[0] => Array
(
[Type] => doi
[Value] => 10.1177/03611981231169525
)
)
[Languages] => Array
(
[0] => Array
(
[Text] => English
)
)
[Titles] => Array
(
[0] => Array
(
[TitleFull] => Driving Style Classification and the Effectiveness of Advanced Driving Assistance Systems: Differences between Teen and Adult Drivers
[Type] => main
)
)
)
[BibRelationships] => Array
(
[HasContributorRelationships] => Array
(
[0] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Ammar, Dania
)
)
)
[1] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Li, Meitang
)
)
)
[2] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Yu, Bo
)
)
)
[3] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Guo, Huizhong
)
)
)
[4] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Lin, Brian
)
)
)
[5] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Kusari, Arpan
)
)
)
[6] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Pulver, Elizabeth
)
)
)
[7] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Bao, Shan
)
)
)
)
[IsPartOfRelationships] => Array
(
[0] => Array
(
[BibEntity] => Array
(
[Dates] => Array
(
[0] => Array
(
[D] => 01
[M] => 01
[Type] => published
[Y] => 2023
)
)
[Identifiers] => Array
(
[0] => Array
(
[Type] => issn-locals
[Value] => edsbas
)
[1] => Array
(
[Type] => issn-locals
[Value] => edsbas.oa
)
)
[Titles] => Array
(
[0] => Array
(
[TitleFull] => Transportation Research Record: Journal of the Transportation Research Board ; volume 2677, issue 12, page 731-742 ; ISSN 0361-1981 2169-4052
[Type] => main
)
)
)
)
)
)
)
|
IllustrationInfo |