Relationship of Linear Combination of Tunnel and Heart Rate Increase Rate
In order to ensure mountain highway tunnel traffic safety and improve the linear combination of the tunnel design, the authors set up a model about heart rate increase rate and the linear combination of the tunnel design, using dynamic physiological detector records and physiological data in a real car test. Using the theory and method of mathematical statistics and mathematical modeling, they conduct an analysis of the relationship between heart rate increase rate and bend radius, slope and length of the tunnel and set up some regression models by SPSS. The authors analyzed and compared the effectiveness of each model. The analysis shows that it is very significant to draw a linear correlation between heart rate increase rate and the combination of bend radius, slope and length of the downhill tunnel, while the uphill tunnel section was not significant. According to the regression model, the authors discuss the discipline about the changes of heart rate increase rate with tunnel design (slope, bend radius, and length) combination, and the relationship between length and bend radius in critical conditions.
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Supplemental Notes:
- Copyright © 2011 ASCE
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- He, Cao
- Chen, Bin
- Wang, Jian Bo
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Conference:
- Third International Conference on Transportation Engineering (ICTE)
- Location: Chengdu , China
- Date: 2011-7-23 to 2011-7-25
- Publication Date: 2011
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: pp 3135-3140
- Monograph Title: ICTE 2011
Subject/Index Terms
- TRT Terms: Heart rate; Mathematical models; Physiological aspects; Regression analysis; Traffic safety; Tunnels
- Subject Areas: Bridges and other structures; Design; Highways; Safety and Human Factors; I25: Design of Tunnels;
Filing Info
- Accession Number: 01449393
- Record Type: Publication
- ISBN: 9780784411841
- Files: TRIS, ASCE
- Created Date: Oct 18 2012 11:19AM