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dc.contributor.authorZohdy, Ismail Hishamen_US
dc.date.accessioned2014-03-14T20:47:50Z
dc.date.available2014-03-14T20:47:50Z
dc.date.issued2009-11-13en_US
dc.identifier.otheretd-11132009-182241en_US
dc.identifier.urihttp://hdl.handle.net/10919/35691
dc.description.abstractThe research presented in this thesis, studies driver gap acceptance behavior for permissive left turn movements at signalized intersections. The thesis attempts to model the gap acceptance behavior using three different approaches, a deterministic statistical approach, a stochastic approach, and a psycho-physical approach. First, the deterministic statistical modeling approach is conducted using logistic regression to characterize the impact of a number of variables on driver gap acceptance behavior. The variables studied are the gap duration, the driverâ s wait time in search of an acceptable gap, the time required to travel to clear the conflict point, and the rain intensity. Considering stochastic gap acceptance, two stochastic approaches are compared, namely: a Bayesian and a Bootstrap approach. The study develops a procedure to model stochastic gap acceptance behavior while capturing model parameter correlations without the need to store all parameter combinations. The model is then implemented to estimate stochastic opposed saturation flow rates. Finally, the third approach uses a psycho-physical modeling approach. The physical component captures the vehicle constraints on gap acceptance behavior using vehicle dynamics models while the psychological component models the driver deliberation and decision process. In general, the three proposed models capture gap acceptance behavior for different vehicle types, roadway surface conditions, weather effects and types of control which could affect the driver gap acceptance behavior. These findings can be used to develop weather responsive traffic signal timings and can also be integrated into emerging IntelliDrive systems.en_US
dc.publisherVirginia Techen_US
dc.relation.haspartZohdy_IH_T_2009_rev.pdfen_US
dc.rightsI hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to Virginia Tech or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.en_US
dc.subjectGap acceptanceen_US
dc.subjectPermissive left turnen_US
dc.subjectSaturation flow rateen_US
dc.subjectWeather impacten_US
dc.subjectLogit modelsen_US
dc.subjectBayesian approachen_US
dc.subjectBoot strappingen_US
dc.subjectVehicle dynamicsen_US
dc.titleModeling Permissive Left-Turn Gap Acceptance Behavior at Signalized Intersectionsen_US
dc.typeThesisen_US
dc.contributor.departmentCivil Engineeringen_US
thesis.degree.nameMaster of Scienceen_US
thesis.degree.levelmastersen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
dc.contributor.committeechairHesham Rakhaen_US
dc.contributor.committeememberFen Guoen_US
dc.contributor.committeememberHobeika, Antoine G.en_US
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-11132009-182241/en_US
dc.date.sdate2009-11-13en_US
dc.date.rdate2013-05-20
dc.date.adate2009-12-04en_US


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