{"id":{"repo_id":"buffalo","oai_identifier":"oai:ubir.buffalo.edu:10477/80963"},"canonical_url":"https://search.dev.ndltd.org/etd/buffalo/oai:ubir.buffalo.edu:10477/80963","repository":{"repo_id":"buffalo","name":"Buffalo","base_url":"https://ubir.buffalo.edu/oai/request"},"display":{"title":"A Preliminary Investigation of the Effectiveness of High Visibility Enforcement (HVE) Programs Using SHRP2 Naturalistic Driving Study Data","abstract":"Ph.D.","abstract_html":"Ph.D.","abstract_has_math":false,"creators":["Sonduru Pantangi, Sarvani; 0000-0003-2751-4514"],"institution":"State University of New York at Buffalo","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Anastasopoulos, Panagiotis","Civil, Structural and Environmental Engineering"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019-10-29T16:48:32Z","date_published":"2019-10-29T16:48:32Z","updated_at":"2026-07-27T19:05:28Z","subjects":["transportation","statistics","behavioral sciences"],"languages":["eng"],"rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10477/80963","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Anastasopoulos, Panagiotis","Civil, Structural and Environmental Engineering"]},{"key":"dc:creator","label":"Author","values":["Sonduru Pantangi, Sarvani; 0000-0003-2751-4514"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2019-10-29T16:48:32Z","2019","2019-08-16 16:12:45"]},{"key":"dc:publisher","label":"Institution","values":["State University of New York at Buffalo"]},{"key":"dc:type","label":"Dc Type","values":["Text","Dissertation"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["transportation","statistics","behavioral sciences"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/10477/80963"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Ph.D.","The main objective of this dissertation is to assess the effectiveness of High-Visibility Enforcement (HVE) programs in terms of reducing aggressive driving behavior, with focus on speeding and tailgating. Using SHRP2 Naturalistic Driving Study Data (NDS), behavioral reactions of drivers before, during, and after the conduct of HVEs are analyzed, in order to identify the potential effect of HVEs in driving behavior. Also, changes in driving behavior with changes in area of trip traversal (test or control) are also analyzed. In this context, two fundamental aspects of aggressive driving behavior (speeding and tailgating) are employed and analyzed. Other aggressive driving behaviors, such as unsafe lane changes, and disregard for right-of-way, traffic signs and signals were also studied. To simultaneously explore the intensity and the duration of these behavioral patterns, novel metrics are defined and used in the analysis. To investigate the effect of HVEs, and at the same time, to control for the effect of driver-, trip-, vehicle-, and weather-specific characteristics on the extent of speeding and tailgating, univariate grouped random parameters models are estimated. In addition, likelihoods of speeding and tailgating occurrences are analyzed simultaneously, within a grouped random parameters bivariate probit modeling framework. Speeding and tailgating metrics are also simultaneously modeled with a seemingly unrelated regression modeling framework. Other aggressive driving behaviors are quantified as binary variables and modeled using a random effects binary probit model. The results of this preliminary analysis show that even though the HVE implementation has mixed effects on the extent and the likelihood of the driving behavior metrics, it demonstrates a promising potential in modifying driving behavior.","**To request an accessible version of the file(s) associated with this item, contact library@buffalo.edu. Please include the item's persistent URL [http://hdl.handle.net/. . .] in your request.**"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["A Preliminary Investigation of the Effectiveness of High Visibility Enforcement (HVE) Programs Using SHRP2 Naturalistic Driving Study Data"]}]}],"canonical_facts":{"dc:contributor":["Anastasopoulos, Panagiotis","Civil, Structural and Environmental Engineering"],"dc:creator":["Sonduru Pantangi, Sarvani; 0000-0003-2751-4514"],"dc:date":["2019-10-29T16:48:32Z","2019","2019-08-16 16:12:45"],"dc:description":["Ph.D.","The main objective of this dissertation is to assess the effectiveness of High-Visibility Enforcement (HVE) programs in terms of reducing aggressive driving behavior, with focus on speeding and tailgating. Using SHRP2 Naturalistic Driving Study Data (NDS), behavioral reactions of drivers before, during, and after the conduct of HVEs are analyzed, in order to identify the potential effect of HVEs in driving behavior. Also, changes in driving behavior with changes in area of trip traversal (test or control) are also analyzed. In this context, two fundamental aspects of aggressive driving behavior (speeding and tailgating) are employed and analyzed. Other aggressive driving behaviors, such as unsafe lane changes, and disregard for right-of-way, traffic signs and signals were also studied. To simultaneously explore the intensity and the duration of these behavioral patterns, novel metrics are defined and used in the analysis. To investigate the effect of HVEs, and at the same time, to control for the effect of driver-, trip-, vehicle-, and weather-specific characteristics on the extent of speeding and tailgating, univariate grouped random parameters models are estimated. In addition, likelihoods of speeding and tailgating occurrences are analyzed simultaneously, within a grouped random parameters bivariate probit modeling framework. Speeding and tailgating metrics are also simultaneously modeled with a seemingly unrelated regression modeling framework. Other aggressive driving behaviors are quantified as binary variables and modeled using a random effects binary probit model. The results of this preliminary analysis show that even though the HVE implementation has mixed effects on the extent and the likelihood of the driving behavior metrics, it demonstrates a promising potential in modifying driving behavior.","**To request an accessible version of the file(s) associated with this item, contact library@buffalo.edu. Please include the item's persistent URL [http://hdl.handle.net/. . .] in your request.**"],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/10477/80963"],"dc:language":["eng"],"dc:publisher":["State University of New York at Buffalo"],"dc:rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"dc:subject":["transportation","statistics","behavioral sciences"],"dc:title":["A Preliminary Investigation of the Effectiveness of High Visibility Enforcement (HVE) Programs Using SHRP2 Naturalistic Driving Study Data"],"dc:type":["Text","Dissertation"]},"updated_at":"2026-07-27T19:05:28Z"}