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contributor authorFayez Alamry
contributor authorYasser Hassan
date accessioned2024-12-24T10:07:11Z
date available2024-12-24T10:07:11Z
date copyright8/1/2024 12:00:00 AM
date issued2024
identifier otherJTEPBS.TEENG-8571.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4298330
description abstractDesign guidelines for freeway ramp entrances are based on speed and acceleration data collected before 1950. This study investigated driver behavior over the entire freeway entrance area, including the ramp, the acceleration speed-change lane (SCL), and the freeway right lane (FRL). Video-based trajectory and speed profile data were collected using unmanned aerial vehicles (UAVs) and were used for qualitative and quantitative analysis. General trends of the relationships between driver behavior measures and geometric characteristics of entrance ramp terminals were investigated under different traffic and design conditions. Results showed that vehicles tended to merge onto the freeway at relatively low speeds such that the difference between their mean speed at merging and that of FRL vehicles was statistically significant. Results also confirmed that SCL drivers tended to start acceleration after they passed the middle of the ramp controlling curve. Regression models were developed for predicting driver-vehicle behavior on SCLs and on-ramp curves using traditional regression for each parameter separately and simultaneous modeling using structural equation modeling. An example application is presented to demonstrate the use of the developed models in reliability analysis of entrance ramps, which can be used to establish probabilistic road design guidelines.
publisherAmerican Society of Civil Engineers
titleRole of Freeway Ramp Geometry on Driver Acceleration and Merging Behavior
typeJournal Article
journal volume150
journal issue8
journal titleJournal of Transportation Engineering, Part A: Systems
identifier doi10.1061/JTEPBS.TEENG-8571
journal fristpage04024044-1
journal lastpage04024044-12
page12
treeJournal of Transportation Engineering, Part A: Systems:;2024:;Volume ( 150 ):;issue: 008
contenttypeFulltext


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