{"title":"Influential factors on speed reduction at vertical deflection devices in mixed traffic environments","authors":"Thanawit Lertpornprasopchok , Thaned Satiennam , Wichuda Satiennam , Nopadon Kronprasert","doi":"10.1016/j.trip.2025.101360","DOIUrl":null,"url":null,"abstract":"<div><div>Vertical deflection devices are widely implemented as traffic calming measures, designed to compel drivers to reduce their speeds to ensure a comfortable passage over them. However, these measures are primarily adapted from practices in developed countries, raising questions about their effectiveness in mixed-traffic environments. This study aims to investigate the factors influencing speed reductions in such contexts. The research focused on driver behavior while traversing three-speed humps and seven-speed tables located within a campus area. An Unmanned Aerial Vehicle (UAV) was employed to capture vehicle speed profiles as they navigated these devices.</div><div>2,101 speed samples were recorded, comprising 1,152 passenger cars and 949 motorcycles. Video recordings enabled the analysis of spot speeds at 10-meter intervals, starting 50 m before and extending 50 m beyond each device. Multiple linear regression analysis was utilized to identify the factors affecting speed reductions. The findings revealed that vertical deflection devices exerted a more substantial impact on reducing the speeds of passenger cars compared to motorcycles. Key factors significantly influencing speed reduction, ranked from most to least influential, included before-speed, vehicle type, device height, roadway grade, proximity to intersections, and roadway width.</div><div>These findings offer valuable insights for refining existing guidelines on the design and placement of vertical deflection devices in mixed-traffic environments.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"30 ","pages":"Article 101360"},"PeriodicalIF":3.9000,"publicationDate":"2025-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Interdisciplinary Perspectives","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590198225000399","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TRANSPORTATION","Score":null,"Total":0}
引用次数: 0
Abstract
Vertical deflection devices are widely implemented as traffic calming measures, designed to compel drivers to reduce their speeds to ensure a comfortable passage over them. However, these measures are primarily adapted from practices in developed countries, raising questions about their effectiveness in mixed-traffic environments. This study aims to investigate the factors influencing speed reductions in such contexts. The research focused on driver behavior while traversing three-speed humps and seven-speed tables located within a campus area. An Unmanned Aerial Vehicle (UAV) was employed to capture vehicle speed profiles as they navigated these devices.
2,101 speed samples were recorded, comprising 1,152 passenger cars and 949 motorcycles. Video recordings enabled the analysis of spot speeds at 10-meter intervals, starting 50 m before and extending 50 m beyond each device. Multiple linear regression analysis was utilized to identify the factors affecting speed reductions. The findings revealed that vertical deflection devices exerted a more substantial impact on reducing the speeds of passenger cars compared to motorcycles. Key factors significantly influencing speed reduction, ranked from most to least influential, included before-speed, vehicle type, device height, roadway grade, proximity to intersections, and roadway width.
These findings offer valuable insights for refining existing guidelines on the design and placement of vertical deflection devices in mixed-traffic environments.