Urban Tunnel Body Landscape Driving Comprehensive Evaluation Study Based on Biomass-Sensing Automobile Field Experiment

Previously, in regard to tunnel design and research, the focus was primarily on traffic capacity and safety requirements, with less consideration given to cave landscape design and its impacts on drivers. This study addressed this gap by proposing a comprehensive evaluation system for urban tunnel l...

Full description

Bibliographic Details
Main Authors: Zhiting Li, Bo Liang, Mengdie Xu
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/13/19/11102
_version_ 1797576093455089664
author Zhiting Li
Bo Liang
Mengdie Xu
author_facet Zhiting Li
Bo Liang
Mengdie Xu
author_sort Zhiting Li
collection DOAJ
description Previously, in regard to tunnel design and research, the focus was primarily on traffic capacity and safety requirements, with less consideration given to cave landscape design and its impacts on drivers. This study addressed this gap by proposing a comprehensive evaluation system for urban tunnel landscape driving based on the Analytic Hierarchy Process (AHP) theory. Considering the information and perception aspects of the driving process and the unique landscape characteristics of urban tunnels, we utilized the drivers’ perception of biomass as an index layer and performed a simulation using a machine learning algorithm. The proposed model was validated through vehicle field tests that were conducted in four urban tunnels along with a substantial amount of measured biomass data obtained during the experiments. The research demonstrated a strong correlation between the urban tunnel body landscape and the driving comprehensive index, particularly under relevant biomass conditions, which revealed the interactive relationship between urban tunnel body landscape design parameters and biomass. Furthermore, the study analyzed and proposed the impact degree of the urban tunnel body landscape on drivers’ biomass indicators, which offered valuable insights into designing tunnel body landscapes with consideration for biomass perception.
first_indexed 2024-03-10T21:48:33Z
format Article
id doaj.art-57855bd5ac374c60b6345404d734687a
institution Directory Open Access Journal
issn 2076-3417
language English
last_indexed 2024-03-10T21:48:33Z
publishDate 2023-10-01
publisher MDPI AG
record_format Article
series Applied Sciences
spelling doaj.art-57855bd5ac374c60b6345404d734687a2023-11-19T14:08:44ZengMDPI AGApplied Sciences2076-34172023-10-0113191110210.3390/app131911102Urban Tunnel Body Landscape Driving Comprehensive Evaluation Study Based on Biomass-Sensing Automobile Field ExperimentZhiting Li0Bo Liang1Mengdie Xu2College of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, ChinaCollege of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, ChinaCollege of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, ChinaPreviously, in regard to tunnel design and research, the focus was primarily on traffic capacity and safety requirements, with less consideration given to cave landscape design and its impacts on drivers. This study addressed this gap by proposing a comprehensive evaluation system for urban tunnel landscape driving based on the Analytic Hierarchy Process (AHP) theory. Considering the information and perception aspects of the driving process and the unique landscape characteristics of urban tunnels, we utilized the drivers’ perception of biomass as an index layer and performed a simulation using a machine learning algorithm. The proposed model was validated through vehicle field tests that were conducted in four urban tunnels along with a substantial amount of measured biomass data obtained during the experiments. The research demonstrated a strong correlation between the urban tunnel body landscape and the driving comprehensive index, particularly under relevant biomass conditions, which revealed the interactive relationship between urban tunnel body landscape design parameters and biomass. Furthermore, the study analyzed and proposed the impact degree of the urban tunnel body landscape on drivers’ biomass indicators, which offered valuable insights into designing tunnel body landscapes with consideration for biomass perception.https://www.mdpi.com/2076-3417/13/19/11102urban tunneltunnel body landscapebiomassperceptionmachine learningcomprehensive evaluation
spellingShingle Zhiting Li
Bo Liang
Mengdie Xu
Urban Tunnel Body Landscape Driving Comprehensive Evaluation Study Based on Biomass-Sensing Automobile Field Experiment
Applied Sciences
urban tunnel
tunnel body landscape
biomass
perception
machine learning
comprehensive evaluation
title Urban Tunnel Body Landscape Driving Comprehensive Evaluation Study Based on Biomass-Sensing Automobile Field Experiment
title_full Urban Tunnel Body Landscape Driving Comprehensive Evaluation Study Based on Biomass-Sensing Automobile Field Experiment
title_fullStr Urban Tunnel Body Landscape Driving Comprehensive Evaluation Study Based on Biomass-Sensing Automobile Field Experiment
title_full_unstemmed Urban Tunnel Body Landscape Driving Comprehensive Evaluation Study Based on Biomass-Sensing Automobile Field Experiment
title_short Urban Tunnel Body Landscape Driving Comprehensive Evaluation Study Based on Biomass-Sensing Automobile Field Experiment
title_sort urban tunnel body landscape driving comprehensive evaluation study based on biomass sensing automobile field experiment
topic urban tunnel
tunnel body landscape
biomass
perception
machine learning
comprehensive evaluation
url https://www.mdpi.com/2076-3417/13/19/11102
work_keys_str_mv AT zhitingli urbantunnelbodylandscapedrivingcomprehensiveevaluationstudybasedonbiomasssensingautomobilefieldexperiment
AT boliang urbantunnelbodylandscapedrivingcomprehensiveevaluationstudybasedonbiomasssensingautomobilefieldexperiment
AT mengdiexu urbantunnelbodylandscapedrivingcomprehensiveevaluationstudybasedonbiomasssensingautomobilefieldexperiment