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Dissertations / Theses on the topic 'Driver behavior'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Ogle, Jennifer Harper. "Quantitative assessment of driver speeding behavior using instrumented vehicles." Diss., Georgia Institute of Technology, 2005. http://etd.gatech.edu/theses/available/etd-04182005-034536/unrestricted/ogle%5Fjennifer%5Fh%5F200505%5Fphd.pdf.

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Thesis (Ph. D.)--Civil and Environmental Engineering, Georgia Institute of Technology, 2005.<br>Includes bibliographical references (p. 310-316). Also available online via the Georgia Institute of Technology, website (http://etd.gatech.edu/).

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2

Graves, Mark. "Avoidance Behavior in the Elderly Driver." TopSCHOLAR®, 1996. http://digitalcommons.wku.edu/theses/873.

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Do older drivers modify their driving habits in response to functional impairment? Older drivers who avoid challenging driving situations were compared with non-avoiders, to determine whether functional limitations were related to avoidance and whether avoidance is related to reducing crash risk. Results showed that, on the average, older drivers reported avoiding driving at night, on high traffic roads, on high speed roads, and in rush hour traffic while not avoiding left turns, driving in the rain, and driving alone. Subjects were placed into groups based on their cognitive and visual abilit

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3

Miyajima, Chiyomi, Yoshihiro Nishiwaki, Koji Ozawa, et al. "Driver Modeling Based on Driving Behavior and Its Evaluation in Driver Identification." IEEE, 2007. http://hdl.handle.net/2237/9623.

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4

Hamdar, Samer Hani. "Towards modeling driver behavior under extreme conditions." College Park, Md. : University of Maryland, 2004. http://hdl.handle.net/1903/2141.

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Thesis (M.S.)--University of Maryland, College Park, 2004.<br>Includes vita. Includes bibliographical references (p. 118-123). Also available online via the Digital Repository at the University of Maryland (https://drum.umd.edu/dspace/).

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5

Garcia, Ortiz Michael [Verfasser]. "Prediction of driver behavior / Michael Garcia Ortiz." Bielefeld : Universitätsbibliothek Bielefeld, 2014. http://d-nb.info/1049523555/34.

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6

Parwathaneni, Rajiv. "Effect of Roadside Vegetation on Driver Behavior." Cleveland State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=csu1481555419869409.

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7

Amer, Ahmed. "Statistical and Behavioral Modeling of Driver Behavior on Signalized Intersection Approaches." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/77995.

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The onset of a yellow indication is typically associated with the risk of vehicle crashes resulting from dilemma-zone and red-light-running problems. Such risk of vehicle crashes is greater for high-speed signalized intersection approaches. The research presented in this dissertation develops statistical as well as behavioral frameworks for modeling driver behavior while approaching high-speed signalized intersection approaches at the onset of a yellow indication. The analysis in this dissertation utilizes two sources of data. The main source is a new dataset that was collected as part of this

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8

Xu, Feng. "Driver behavior and gap acceptance studies at roundabouts." abstract and full text PDF (free order & download UNR users only), 2007. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1442865.

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9

Vogel, Katja. "Modeling driver behavior : a control theory based approach /." Linköping : Univ, 2002. http://www.bibl.liu.se/liupubl/disp/disp2002/tek751s.pdf.

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10

Lwambagaza, Lina. "Modeling Older Driver Behavior on Freeway Merging Ramps." UNF Digital Commons, 2016. http://digitalcommons.unf.edu/etd/646.

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Merging from on-ramps to mainline traffic is one of the most challenging driving maneuvers on freeways. The challenges are further heightened for older drivers, as they are known to have longer perception-reaction times, larger acceptance gaps, and slower acceleration rates. In this research, VISSIM, a microscopic traffic simulation software, was used to evaluate the influence of the aging drivers on the operations of a typical diamond interchange. First, drivers were recorded on video cameras as they negotiated joining the mainline traffic from an on-ramp acceleration lane at two sites along

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11

Gadepally, Vijay Narasimha. "Estimation of Driver Behavior for Autonomous Vehicle Applications." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1365952195.

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Kircher, Katja. "Modeling driver behavior : a control theory based approach /." Linköping : Univ, 2002. http://www.bibl.liu.se/liupubl/disp/disp2002/tek751s.pdf.

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13

Haroun, Antoine. "Observed minimum headways as an index of driver behavior." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ29391.pdf.

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14

Chong, Linsen. "Modeling Naturalistic Driver Behavior in Traffic Using Machine Learning." Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/76834.

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This research is focused on driver behavior in traffic, especially during car-following situations and safety critical events. Driving behavior is considered as a human decision process in this research which provides opportunities for an artificial driver agent simulator to learn according to naturalistic driving data. This thesis presents two mechine learning methodologies that can be applied to simulate driver naturalistic driving behavior including risk-taking behavior during an incident and lateral evasive behavior which have not yet been captured in existing literature. Two special machi

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15

Zubritsky, Adam David. "Fatal Crashes Caused by Light Trucks Relative to Cars: A Test of the Offsetting Behavior Hypothesis." Master's thesis, University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3098.

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This thesis presents an econometric test of the offsetting behavior hypothesis concerning drivers of light trucks relative to cars. The main objective is to determine whether drivers of light trucks offset perceived safety benefits associated with larger vehicles by driving more aggressively than drivers of cars, subsequently causing more fatal crashes, holding all else constant. An empirical model using data on pedestrian fatalities across the United States over a five-year period is developed and analyzed in order to capture the desired results. Estimates provide substantial evidence in supp

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16

Wright, Priscilla. "Communication Training and Nonemergency Transportation Driver Perception of Challenging Behavior." ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/4115.

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Nonemergency transportation drivers play a critical role in helping individuals with Intellectual Disabilities (ID) gain access to community integration opportunities. Challenging behaviors can limit access to enrichment opportunities and possibly increase the likelihood that individuals with ID will be isolated from community enrichment activities. The purpose of this study was to determine if positive behavior support training improved nonemergency transportation drivers' perceptions of challenging behaviors displayed by individuals with ID. For purposes of this study, perception was defined

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17

Truong, Y.-Thao. "Observation and analysis of driver behavior at intersections in malfunction flash mode." Thesis, Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26561.

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Thesis (M. S.)--Civil and Environmental Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Hunter, Michael; Committee Member: Meyer, Michael; Committee Member: Rodgers, Michael. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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18

Karlsson, Rikard. "Evaluating driver distraction countermeasures." Thesis, Linköping University, Department of Computer and Information Science, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2456.

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<p>Statistics showing that in-vehicle driver distraction is a major contributing cause in road accidents is presented. Driver distraction is defined building on the driving theory by Gibson and Crooks. The idea to use driver distraction countermeasures as a way of mitigating the effects of the driver distraction problem is then introduced. A requirement list is formulated with ten requirements that distraction countermeasures should meet. A simplification of regarding distraction as a gaze direction problem makes way for designing an experiment to evaluate two driver distraction countermeasure

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19

Ferguson, Catherine A. "An exploration of the relationship between attitudes and behavior in young drivers : an application of the theory of planned behavior." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2008. https://ro.ecu.edu.au/theses/227.

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Young drivers are over represented in traffic crashes throughout the world and despite considerable efforts to date, there is still considerable work to be undertaken to develop interventions that will aid in the reduction of this road trauma. Historically, road safety research has been more focused on evaluative research rather than the application of theory and this has effects on the success of interventions. This research used a well supported social psychological theory (Theory of Planned Behavior [TPB]) to investigate the relationship between attitudes and behavior in young drivers with

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20

Konduru, Karun K. "Long run changes in driver behavior due to variable tolls." Texas A&M University, 2003. http://hdl.handle.net/1969.1/293.

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As many variable pricing projects are still in the implementation stage, long-run driver responses to the variable tolls are largely unknown. This research examined the long-run changes in driver behavior in an existing variable pricing project in Lee County, Florida. Using empirical evidence, it was found that over time the price elasticities of demand on the Lee County toll bridges have decreased from -0.42 to - 0.11 (Midpoint Memorial Bridge) and from -0.31 to -0.06 (Cape Coral Bridge) during the early morning discount period. The elasticities have decreased, but to a lesser extent, duri

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21

Durkee, Shaun Michael. "The effect of simulation attributes on driver perception and behavior." Thesis, Montana State University, 2010. http://etd.lib.montana.edu/etd/2010/durkee/DurkeeS0810.pdf.

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Transportation systems in today's world are complex, diverse, and dangerous. Drivers execute many tasks in order to safely and efficiently maneuver their vehicles in these systems. Evaluation of vehicle speed (ego motion) and inter-vehicle distance (egocentric distance) are crucial skills and constant demands while operating a motor vehicle. Common maneuvers such as braking, obstacle avoidance, and overtaking rely heavily on such skills. Driving skills and transportation safety concerns in general have been studied over the years by many research methodologies. One such methodology, the drivin

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22

Every, Joshua Lee. "Development of a Driver Behavior Based Active Collision Avoidance System." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1429800895.

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23

Edwards, Michelle. "Evaluation of traveler information on driver behavior in southeast Wyoming." Laramie, Wyo. : University of Wyoming, 2008. http://proquest.umi.com/pqdweb?did=1799711391&sid=1&Fmt=2&clientId=18949&RQT=309&VName=PQD.

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24

Yekhshatyan, Lora. "Detecting distraction and degraded driver performance with visual behavior metrics." Diss., University of Iowa, 2010. https://ir.uiowa.edu/etd/910.

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Driver distraction contributes to approximately 43% of motor-vehicle crashes and 27% of near-crashes. Rapidly developing in-vehicle technology and electronic devices place additional demands on drivers, which might lead to distraction and diminished capacity to perform driving tasks. This situation threatens safe driving. Technology that can detect and mitigate distraction by alerting drivers could play a central role in maintaining safety. Correctly identifying driver distraction in real time is a critical challenge in developing distraction mitigation systems, and this function has not been

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25

Toussant, Erica A. "Analyzing the Impacts of Driver Familiarity/Unfamiliarity at Roundabouts." Ohio University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1451907184.

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26

Malta, Lucas, Chiyomi Miyajima, and Kazunori Takeda. "A Study of Driver Behavior Under Potential Threats in Vehicle Traffic." IEEE, 2009. http://hdl.handle.net/2237/13901.

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27

Chen, Rong. "Driver Behavior in Car Following - The Implications for Forward Collision Avoidance." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/71785.

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Forward Collision Avoidance Systems (FCAS) are a type of active safety system which have great potential for rear-end collision avoidance. These systems use either radar, lidar, or cameras to track objects in front of the vehicle. In the event of an imminent collision, the system will warn the driver, and, in some cases, can autonomously brake to avoid a crash. However, driver acceptance of the systems is paramount to the effectiveness of a FCAS system. Ideally, FCAS should only deliver an alert or intervene at the last possible moment to avoid nuisance alarms, and potentially have drivers dis

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28

Fry, Patrick J. "Safety Evaluation of Billboard Advertisements on Driver Behavior in Work Zones." Ohio University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1366489662.

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29

Higgs, Bryan James. "Emotional Impacts on Driver Behavior: An Emo-Psychophysical Car-Following Model." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/64901.

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This research effort aims to create a new car-following model that accounts for the effects of emotion on driver behavior. This research effort is divided into eight research milestones: (1) the development of a segmentation and clustering algorithm to perform new investigations into driver behavior; (2) the finding that driver behavior is different between drivers, between car-following periods, and within a car-following period; (3) the finding that there are patterns in the distribution of driving behaviors; (4) the finding that driving states can result in different driving actions and tha

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30

Kondyli, Alexandra. "Breakdown probability model at freeway-ramp merges based on driver behavior." [Gainesville, Fla.] : University of Florida, 2009. http://purl.fcla.edu/fcla/etd/UFE0024857.

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31

Kyung, Gyouhyung. "An integrated human factors approach to design and evaluation of the driver workspace and interface: Driver perceptions, behaviors, and objective measures." Diss., Virginia Tech, 2008. http://hdl.handle.net/10919/27939.

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An ergonomic driver workspace and interface design is essential to ensure a healthier and comfortable driving experience in terms of driver perceptions, postures, and interface pressures. Developing more effective methods for driver-side interior design and evaluation, hence, requires thorough investigation of: 1) which perceptual responses are more relevant to ensuring ergonomic quality of a design, 2) the interrelationships among perceptual responses and objective measures, and 3) whether current assumptions regarding driver behaviors, and tools for specifying these behaviors, are valid for

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32

Amata, Hideomi, Chiyomi Miyajima, Takanori Nishino, Norihide Kitaoka, and Kazuya Takeda. "Prediction model of driving behavior based on traffic conditions and driver types." IEEE, 2009. http://hdl.handle.net/2237/13899.

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33

Fu, Ting. "Effects of adverse winter weather conditions on highway traffic and driver behavior." Thesis, McGill University, 2014. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=123259.

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This research looks into the impact of adverse winter weather conditions on highway driver behaviors using microscopic data from loop detectors and video cameras (e.g., hourly average speed, trajectories, lane changes, time-to-collisions measures). This thesis is composed of two main sections in addition to the introductory section: i) direct and lagged effects of adverse weather on hourly speeds and volumes; and ii) direct effect of adverse weather on driver behaviors (microscopic) measured at the vehicle level using video data. The first part of the thesis presents a review of literature

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34

Aria, Erfan. "Investigation of automated vehicle effects on drivers behavior and traffic performance." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-126600.

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Advanced Driver Assistance Systems (ADAS) offer the possibility of helping drivers to fulfill their driving tasks. Automated vehicles are capable of communicating with surrounding vehicles (V2V) and infrastructure (V2I) in order to collect and provide essential information about driving environment. Studies have proved that automated vehicles have a potential to decrease traffic congestion on road networks by reducing the time headway, enhancing the traffic capacity and improving the safety margins in car following. Furthermore, vehicle movement and drivers behavior of conventional vehicles w

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35

Brown, Sarah Beth. "Effects of Haptic and Auditory Warnings on Driver Intersection Behavior and Perception." Thesis, Virginia Tech, 2005. http://hdl.handle.net/10919/31844.

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Intersection crashes account for over one-third of all crashes in the U.S., and 39% of these result in injury or death. As part of a larger effort to develop and evaluate in-vehicle countermeasures to reduce the number of intersection-related crashes, haptic warnings and a combined haptic/auditory warning were explored and compared to combined visual/auditory warnings. <p> The first phase of this study determined which haptic brake pulse warning candidate most often resulted in the driver successfully stopping for an intersection. Five brake pulse warnings were tested (varied with respect

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36

Toth, Christopher Stephen. "Empirical study of the effect of offramp queues on freeway mainline traffic flow." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/53098.

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The dissertation examines the relationship between the number of lane changes, the speed of the ramp lane, and the location upstream of the ramp split. Analyses indicate the number of lane changes exhibits a parabolic relationship with respect to the ramp lane speed, and the number of lane changes exhibits gamma-distributed relationship with respect to the distance upstream of the ramp. The macroscopic lane changing model presented is best characterized as the development of generalized lane-changing relationships, and provides a starting point from which more complex corridor-level models can

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37

MIANI, MATTEO. "ANALISI E MODELLAZIONE DELLE INTERAZIONI VEICOLO-PEDONE PER LO SVILUPPO DI SISTEMI ATTIVI DI ASSISTENZA ALLA GUIDA E DI PROTEZIONE DEI PEDONI." Doctoral thesis, Università degli Studi di Trieste, 2022. http://hdl.handle.net/11368/3032060.

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La sicurezza e la mobilità dei pedoni sono requisiti basilari che dovrebbero caratterizzare ogni sistema di trasporto urbano. Tuttavia, le morti degli utenti della strada più vulnerabili costituiscono ancora oggi una componente significativa di tutte le vittime della strada nel Mondo. Nonostante gli innumerevoli sforzi compiuti per l’innovazione tecnologica dei veicoli e il riesame degli spazi urbani, le statistiche sull’incidentalità dimostrano la necessità e l’importanza di sviluppare sempre più affidabili sistemi di protezione in grado di diminuire gli impatti sociali ed economici del siste

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38

Heracles, Martin [Verfasser]. "Vision-based prediction of human driver behavior in urban traffic environments / Martin Heracles." Bielefeld : Universitätsbibliothek Bielefeld, 2014. http://d-nb.info/1060824329/34.

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CATANI, LORENZO. "A Simulation-Based Study on Driver Behavior when Negotiating Curves with Sight Limitations." Doctoral thesis, Politecnico di Torino, 2019. http://hdl.handle.net/11583/2732874.

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40

Bronaugh, Louise J. "Driving under the influence of positive behavior support : a behavior management program for students who ride the school bus /." Thesis, Connect to title online (Scholars' Bank) Connect to title online (ProQuest), 2008. http://hdl.handle.net/1794/8161.

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Thesis (Ph. D.)--University of Oregon, 2008.<br>Typescript. Includes vita and abstract. Includes bibliographical references (leaves 100-104). Also available online in Scholars' Bank; and in ProQuest, free to University of Oregon users.

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Jun, Jungwook. "Potential Crash Measures Based on GPS-Observed Driving Behavior Activity Metrics." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/19832.

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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 th

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42

McLaughlin, Shane Brendan. "Measurement of Driver Preferences and Intervention Responses as Influenced by Adaptive Cruise Control Deceleration Characteristics." Thesis, Virginia Tech, 1998. http://hdl.handle.net/10919/9751.

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In comparison to conventional cruise control, adaptive cruise control (ACC) vehicles are capable of sensing forward traffic and slowing to accommodate as necessary. When no forward vehicles are present, ACC function is the same as conventional cruise control. However, with ACC, when a slower vehicle is detected, the ACC system will decelerate and follow at a selected time-based distance. While slowing to follow, the driver will experience a system-controlled deceleration of the ACC vehicle. An experiment was conducted to evaluate driver preferences for the distance at which the primary deceler

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43

Gellatly, Andrew William. "The Use of Speech Recognition Technology in Automotive Applications." Diss., Virginia Tech, 1997. http://hdl.handle.net/10919/30373.

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The research objectives were (1) to perform a detailed review of the literature on speech recognition technology and the attentional demands of driving; (2) to develop decision tools that assist designers of in-vehicle systems; (3) to experimentally examine automatic speech recognition (ASR) design parameters, input modalities, and driver ages; and (4) to provide human factors recommendations for the use of speech recognition technology in automotive applications. Two experiments were conducted to determine the effects of ASR design parameters, input modality, and age on driving perf

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44

Reyes, Michelle Lynn. "Examining driver performance in response to work zone interventions in a driving simulator." Thesis, University of Iowa, 2010. https://ir.uiowa.edu/etd/729.

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Reductions in speed and, more critically, speed variability between vehicles are thought to reduce crash risk in work zones. Numerous factors, such as lane width and lateral clearance and activity level, have been shown to influence speed but very little research has considered how multiple factors might interact to affect driver performance in work zones. This study evaluated the effect of work zone barrier type, presence of a lateral buffer, and work zone activity level on measures of speed and lane position. Twelve middle aged and twelve senior subjects drove in a National Advanced Driving

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Schnelle, Scott C. "Development of Personalized Lateral and Longitudinal Driver Behavior Models for Optimal Human-Vehicle Interactive Control." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1480362246357462.

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Doerzaph, Zachary R. "Intersection Stopping Behavior as Influenced by Driver State: Implications for Intersection Decision Support Systems." Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/9935.

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It is estimated that as many as 2.7 million crashes occur each year at intersections or are intersection related; resulting in over 8500 fatalities each year. These statistics have prompted government and corporate sponsored research into collision countermeasure systems that can enhance safety at intersections. Researchers are investigating technologies to provide an infrastructure-based or infrastructure-cooperative Intersection Decision Support (IDS) systems. Such systems would use pre-specified algorithms to identify drivers that have a high likelihood of violating the traffic signal and t

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Alshatti, Danah Ahmed. "Examining Driver Risk Factors in Road Departure Conflicts Using SHRP2 Data." University of Dayton / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=dayton152534759506242.

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Lee, Dongkwan. "Driver Demographics, Built Environment, and Car Crashes:Implications for Urban Planning." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1420677824.

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49

Conran, Charles Arthur. "Modeling Microscopic Driver Behavior under Variable Speed Limits: A Driving Simulator and Integrated MATLAB-VISSIM Study." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78234.

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Variable speed limits (VSL) are dynamic traffic management systems designed to increase the efficiency and safety of highways. While the macroscopic performance of VSL systems is well explored in the existing literature, there is a need to further understand the microscopic behavior of vehicles driving in VSL zones. Specifically, driver compliance to advisory VSL systems is quantified based on a driving-simulation experiment and introduced into a broader microscopic behavior model. Statistical analysis indicates that VSL compliance can be predicted based upon several VSL design parameters. The

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Sims, Brian K. "Driving and Thriving: School Bus Drivers and the Behavior Management Strategies They Use." Digital Commons @ East Tennessee State University, 2014. https://dc.etsu.edu/etd/2423.

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The purpose of this study was first to determine the satisfaction level of bus drivers pertaining to school building administration, transportation department, and student behaviors, and second to identify the common behavior management strategies used by bus driver in a particular school system in east Tennessee. I also compared the common behavior management strategies used by school bus drivers who are also employed by the school system in some position in addition to this vocation with school bus drivers who are not employed by the school system other than driving the school bus. I also co

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