Threshold Research on Highway Length under Typical Landscape Patterns Based on Drivers’ Physiological Performance
The appropriately landscaped highway scenes may not only help improve road safety and comfort but also help protect ecological environment. Yet there is very little research data on highway length threshold with consideration of distinctive landscape patterns. Against this backdrop, the paper aims t...
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Format: | Article |
Language: | English |
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Wiley
2015-01-01
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Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2015/753732 |
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author | Xia Zhao Zhonghua Wei Zhixia Li Yong Zhang Xingyu Feng |
author_facet | Xia Zhao Zhonghua Wei Zhixia Li Yong Zhang Xingyu Feng |
author_sort | Xia Zhao |
collection | DOAJ |
description | The appropriately landscaped highway scenes may not only help improve road safety and comfort but also help protect ecological environment. Yet there is very little research data on highway length threshold with consideration of distinctive landscape patterns. Against this backdrop, the paper aims to quantitatively analyze highway landscape’s effect on driving behavior based on drivers’ physiological performance and quantify highway length thresholds under three typical landscape patterns, namely, “open,” “semiopen,” and “vertical” ones. The statistical analysis was based on data collected in a driving simulator and electrocardiograph. Specifically, vehicle-related data, ECG data, and supplemental subjective stress perception were collected. The study extracted two characteristic indices, lane deviation and LF/HF, and extrapolated the drivers’ U-shaped physiological response to landscape patterns. Models on highway length were built based on LF/HF’s variation trend with highway length. The results revealed that the theoretical highway length threshold tended to increase when the landscape pattern was switched to open, semiopen, and vertical ones. And the reliability and accuracy of the results were validated by questionnaires and field operational tests. Findings from this research will assist practitioners in taking active environmental countermeasures pertaining to different roadside landscape patterns. |
format | Article |
id | doaj-art-cd437fdba7214e9ab2bf14b1f6038e65 |
institution | Kabale University |
issn | 1026-0226 1607-887X |
language | English |
publishDate | 2015-01-01 |
publisher | Wiley |
record_format | Article |
series | Discrete Dynamics in Nature and Society |
spelling | doaj-art-cd437fdba7214e9ab2bf14b1f6038e652025-02-03T05:43:49ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2015-01-01201510.1155/2015/753732753732Threshold Research on Highway Length under Typical Landscape Patterns Based on Drivers’ Physiological PerformanceXia Zhao0Zhonghua Wei1Zhixia Li2Yong Zhang3Xingyu Feng4Multimedia and Intelligent Software Technology Key Laboratory, College of Metropolitan Transportation, Beijing University of Technology, 100 Pingleyuan, Chaoyang District, Beijing 100124, ChinaBeijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, 100 Pingleyuan, Chaoyang District, Beijing 100124, ChinaDepartment of Civil and Environmental Engineering, University of Louisville, W.S. Speed Building, Room 111, Louisville, KY 40292, USABeijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, 100 Pingleyuan, Chaoyang District, Beijing 100124, ChinaDepartment of Project Investment, Beijing Shoufa Investment Holding Company, Ltd., BCHD Building, No. 9 Liuliqiao South Avenue, Fengtai District, Beijing 100161, ChinaThe appropriately landscaped highway scenes may not only help improve road safety and comfort but also help protect ecological environment. Yet there is very little research data on highway length threshold with consideration of distinctive landscape patterns. Against this backdrop, the paper aims to quantitatively analyze highway landscape’s effect on driving behavior based on drivers’ physiological performance and quantify highway length thresholds under three typical landscape patterns, namely, “open,” “semiopen,” and “vertical” ones. The statistical analysis was based on data collected in a driving simulator and electrocardiograph. Specifically, vehicle-related data, ECG data, and supplemental subjective stress perception were collected. The study extracted two characteristic indices, lane deviation and LF/HF, and extrapolated the drivers’ U-shaped physiological response to landscape patterns. Models on highway length were built based on LF/HF’s variation trend with highway length. The results revealed that the theoretical highway length threshold tended to increase when the landscape pattern was switched to open, semiopen, and vertical ones. And the reliability and accuracy of the results were validated by questionnaires and field operational tests. Findings from this research will assist practitioners in taking active environmental countermeasures pertaining to different roadside landscape patterns.http://dx.doi.org/10.1155/2015/753732 |
spellingShingle | Xia Zhao Zhonghua Wei Zhixia Li Yong Zhang Xingyu Feng Threshold Research on Highway Length under Typical Landscape Patterns Based on Drivers’ Physiological Performance Discrete Dynamics in Nature and Society |
title | Threshold Research on Highway Length under Typical Landscape Patterns Based on Drivers’ Physiological Performance |
title_full | Threshold Research on Highway Length under Typical Landscape Patterns Based on Drivers’ Physiological Performance |
title_fullStr | Threshold Research on Highway Length under Typical Landscape Patterns Based on Drivers’ Physiological Performance |
title_full_unstemmed | Threshold Research on Highway Length under Typical Landscape Patterns Based on Drivers’ Physiological Performance |
title_short | Threshold Research on Highway Length under Typical Landscape Patterns Based on Drivers’ Physiological Performance |
title_sort | threshold research on highway length under typical landscape patterns based on drivers physiological performance |
url | http://dx.doi.org/10.1155/2015/753732 |
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