2019
DOI: 10.1061/jtepbs.0000246
|View full text |Cite
|
Sign up to set email alerts
|

Modeling Speed and Comfort Threshold on Horizontal Curves of Rural Two-Lane Highways Using Naturalistic Driving Data

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
7
0

Year Published

2019
2019
2022
2022

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 18 publications
(7 citation statements)
references
References 12 publications
0
7
0
Order By: Relevance
“…In this study, higher values were obtained: 3.5 m/s 2 (40-50 km/h), and 7.5 m/s 2 (50-80 km/h). Maybe this happened because the AASHTO policy used outdated results [3].…”
Section: Figurementioning
confidence: 99%
See 1 more Smart Citation
“…In this study, higher values were obtained: 3.5 m/s 2 (40-50 km/h), and 7.5 m/s 2 (50-80 km/h). Maybe this happened because the AASHTO policy used outdated results [3].…”
Section: Figurementioning
confidence: 99%
“…The lateral acceleration of a vehicle, one of the most influential factors in road design [1] and road safety [2,3], is influenced by three main factors: curvature, vehicle model and type of road [4]. First, when a vehicle moves in a curved path, it experiments a centripetal force that acts toward the center of curvature.…”
Section: Introductionmentioning
confidence: 99%
“…As shown in Figure 4. Figure 4 shows that the lateral force generated by a vehicle operating on a horizontal curve Y is given by Equations (1) [22] and (2) [23].…”
Section: Vehicle Horizontal Stress Analysis When Operatingmentioning
confidence: 99%
“…Most of the driver behavior models in the literature were developed considering vehicles traveling at free-flow speed (FFS) that have a headway ( h ) ⩾ 5 s ( 20 ). However, in this paper vehicles were considered at FFS conditions when the h 3 s based on the analysis conducted by Dhahir and Hassan ( 21 , 22 ). The models presented in this section were checked for multicollinearity, and were found not to suffer multicollinearity problems with the highest variation inflation factor (VIF) for all models equal to 3.532.…”
Section: Models Developmentmentioning
confidence: 99%
“…Considering the vehicle speed state along the vehicle path, a methodology was developed by the authors to evaluate the comfort threshold for each trip by searching for the minimum value of average lateral acceleration within a sliding window while the trip is at a constant speed state ( 21 ). Regression analysis of the collected data yielded Equations 1 and 2 as the best regression models for the comfort threshold for drivers on horizontal curves in terms of the adjusted coefficient of determination ( R adj 2 ) ( 22 ). Both models are panel models (PM) that account for the independent variable’s mean and standard deviation, and thus can predict the variable’s distribution:…”
Section: Models Developmentmentioning
confidence: 99%