Title:
Potential Crash Measures Based on GPS-Observed Driving Behavior Activity Metrics

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dc.contributor.advisor Guensler, Randall L.
dc.contributor.author Jun, Jungwook en_US
dc.contributor.committeeMember Hunter, Michael
dc.contributor.committeeMember Meyer, Michael
dc.contributor.committeeMember Ogle, Jennifer
dc.contributor.committeeMember Rodgers, Michael
dc.contributor.committeeMember Ross, Catherine
dc.contributor.department Civil and Environmental Engineering en_US
dc.date.accessioned 2008-02-07T18:43:06Z
dc.date.available 2008-02-07T18:43:06Z
dc.date.issued 2006-11-21 en_US
dc.description.abstract Identifying and understanding the relationships between observed driving behavior over long-term periods and corresponding crash involvement rates is paramount to enhancing safety improvement programs and providing useful insights for transportation safety engineers, policy markers, insurance industries, and the public. Unlike previous data collection methods, recent advancement in mobile computing and accuracy of global positioning systems (GPS) allow researchers to monitor driving activities of large fleets of vehicles, for long-time study periods, at great detail. This study investigates the driving patterns of drivers who have and who have not experienced crashes during a 14-month study period using the longitudinally collected GPS data during a six-month Commute Atlanta study. This investigation allows an empirical investigation to assess whether drivers with recent crash experiences exhibit different driving or activity patterns (travel mileage, travel duration, speed, acceleration, speed stability duration, frequency of unfamiliar roadway activities, frequency of turn movement activities, and previous crash location exposures). This study also discusses various techniques of implementing GPS data streams in safety analyses. Finally, this study provides useful guidance for researchers who plan to evaluate the relationships between driver driving behavior and crash risk with large sample data and proposes driving behavior activity exposure metrics of individual drivers for possible safety surrogate measures as well as for driver re-training and education programs. en_US
dc.description.degree Ph.D. en_US
dc.identifier.uri http://hdl.handle.net/1853/19832
dc.publisher Georgia Institute of Technology en_US
dc.subject GPS en_US
dc.subject Safety surrogate measure en_US
dc.subject Safety en_US
dc.subject Driving behavior en_US
dc.subject Crash measure en_US
dc.subject Driver evaluation en_US
dc.subject.lcsh Traffic safety
dc.subject.lcsh Traffic accidents
dc.subject.lcsh Risk assessment
dc.subject.lcsh Motor vehicle drivers
dc.title Potential Crash Measures Based on GPS-Observed Driving Behavior Activity Metrics en_US
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Guensler, Randall L.
local.contributor.corporatename School of Civil and Environmental Engineering
local.contributor.corporatename College of Engineering
relation.isAdvisorOfPublication e98e9ae3-d677-462a-b4ff-da47303a4cc3
relation.isOrgUnitOfPublication 88639fad-d3ae-4867-9e7a-7c9e6d2ecc7c
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
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