Development of Model for Highway Design Consistency Evaluation with Artificial Neural Network

Lee, Jeomho; Lee, Sooil

doi:10.1007/978-3-540-69429-8_67

Cited by 1 publication

(1 citation statement)

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“…Wang et al proposed a composite measure consisting of three physiological measures, facial skin temperature, eye blinks, and pupil dilation [18]. J. Lee and S. Lee develop a model for evaluation of highway alignment design with a new evaluation index as vehicle spacing [19]. The above literatures studied the traffic safety problems based on EEG and ECG reactions of the drivers, and conclusions show that there was some relationship between the driver's physiological reactions and traffic safety and route parameter.…”

Section: Methodsmentioning

confidence: 99%

Research on the Safety Audit Methods for Two‐Lane Highway Based on HRV

Zhu

Cheng-hong

et al. 2014

Mathematical Problems in Engineering

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In order to explore stable route safety evaluation indicators, this study discusses the relationship between the heart rate variability (HRV) and other factors, such as design speed, operating speed, acceleration rate, and velocity gradient through a lot of experiments. The results show that operating speed coordination and velocity gradient (Gv) outperform others as road safety indicators. Speed coordination evaluation criteria:|ΔV85|≤10 km/h, good coordination; 10 km/h≤|ΔV85|≤ 20 km/h, general coordination, route indicators of adjacent sections should be adjusted, so that the speed difference is not more than 10 km/h;|ΔV85|≥20 km/h, poor speed coordination, it needs to readjust the design of the adjacent sections. Speed gradient evaluation criteria:Gv≤0.10, good road safety;0.10≤Gv<0.15, common road safety;Gv>0.15, poor road safety and the adjacent sections need to readjust. The conclusions provide the theoretical reference for highway safety evaluation.

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Section: Methodsmentioning

confidence: 99%