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dc.contributor.authorLiu, Qiong Xiang.
dc.creatorLiu, Qiong Xiang.en_US
dc.date.accessioned2011-10-31T18:37:08Z
dc.date.available2011-10-31T18:37:08Z
dc.date.issued1995en_US
dc.identifier.urihttp://hdl.handle.net/10150/187342
dc.description.abstractCurrently, Right-Turn-on-Red (RTOR) is a common practice of improving the performance of right-turn vehicles at signalized intersections in the United States. Issues related to RTOR maneuver are met extensively in the operational process of signalized intersections. However, under given traffic, signal conditions and geometric configuration, there have been no universal guidelines for describing major parameters of RTOR operations and estimating RTOR capacity. In this research, efforts were made to define the characteristics and major parameters of RTOR movement at signalized intersections. Based on the literature review of pertinent studies on RTOR, both mathematical modeling and simulation approach were employed to study the characteristics of RTOR maneuver, and the relations between RTOR vehicles and other variables of traffic, signal and intersection configuration. With applications of traffic flow theory, statistical methods and the TEXAS simulation model, values of the major RTOR parameters were identified in this study. Approaches for predicting RTOR capacity and assessing RTOR operations were proposed under various traffic, signal and geometric conditions. Applications of the key findings resulted from this study were demonstrated and recommendations for future work on RTOR were also presented in the dissertation.
dc.language.isoenen_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.titleA simulation study on the characteristics of right-turn-on-red operations at signalized intersections.en_US
dc.typetexten_US
dc.typeDissertation-Reproduction (electronic)en_US
dc.contributor.chairWortman, Roberten_US
thesis.degree.grantorUniversity of Arizonaen_US
thesis.degree.leveldoctoralen_US
dc.contributor.committeememberJimenez, Rudolfen_US
dc.contributor.committeememberReilly, William R.en_US
dc.identifier.proquest9620401en_US
thesis.degree.disciplineCivil Engineering and Engineering Mechanicsen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.namePh.D.en_US
dc.description.noteThis item was digitized from a paper original and/or a microfilm copy. If you need higher-resolution images for any content in this item, please contact us at repository@u.library.arizona.edu.
dc.description.admin-noteOriginal file replaced with corrected file October 2023.
refterms.dateFOA2018-08-19T08:36:00Z
html.description.abstractCurrently, Right-Turn-on-Red (RTOR) is a common practice of improving the performance of right-turn vehicles at signalized intersections in the United States. Issues related to RTOR maneuver are met extensively in the operational process of signalized intersections. However, under given traffic, signal conditions and geometric configuration, there have been no universal guidelines for describing major parameters of RTOR operations and estimating RTOR capacity. In this research, efforts were made to define the characteristics and major parameters of RTOR movement at signalized intersections. Based on the literature review of pertinent studies on RTOR, both mathematical modeling and simulation approach were employed to study the characteristics of RTOR maneuver, and the relations between RTOR vehicles and other variables of traffic, signal and intersection configuration. With applications of traffic flow theory, statistical methods and the TEXAS simulation model, values of the major RTOR parameters were identified in this study. Approaches for predicting RTOR capacity and assessing RTOR operations were proposed under various traffic, signal and geometric conditions. Applications of the key findings resulted from this study were demonstrated and recommendations for future work on RTOR were also presented in the dissertation.


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