Traffic safety assessment and prediction under different lighting service states in road tunnels

Chen, Jianzhong; You, Linhai; Yang, Meng; Wang, Xiaoxia

doi:10.1016/j.tust.2023.105001

Cited by 9 publications

(3 citation statements)

References 34 publications

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“…The research conducted to enhance energy efficiency in tunnel lighting applies three methodological approaches: implementing smart lighting technology in the tunnel [2]- [7]; organizing the environment by planting trees and plants at the tunnel entrance [8], [9]; and by replacing HPS lamps with LED lamps. The average lighting during the day is either very excessive, that is, the illumination and luminance exceed the SNI standards and international standards, or much less than standard, especially at mid-day [10], [11]. As a result, the face of the tunnel looks very dark compared to sunlight, which causes the driver's eyes to lose sight temporarily (or black hole effect) [12]- [16].…”

Section: Introductionmentioning

confidence: 99%

Modeling Night and Daylighting Toll Road Tunnel Using Dialux to Compare the Performance of HPS and LED Lamp

Setyaningsih,

Pragantha,

Candra

2024

Int. J. Adv. Sci. Eng. Inf. Technol.

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In toll road tunnels, the lighting at the threshold zone must balance the brightness of the access zone with natural light. Therefore, artificial lighting is strategically placed in that area to match the brightness to the intensity of natural light. This balance shifts during nighttime to ensure uniform brightness throughout the tunnel, equivalent to street lighting. Additionally, a significant amount of power is required to realize this artificial lighting. Two lamp technologies are used for tunnel lighting: HPS lamps with low energy efficiency and LED lamps with better energy efficiency. The challenge is determining artificial lighting in the threshold zone using energy-efficient lamps. To address this issue, simulations were conducted to compare the two lamp types applied in tunnels to achieve the most significant power savings. This research creates a model of toll road tunnel lighting using DIALux software better to understand the characteristics of toll road tunnel lighting using HPS and LED lamps. The SNI and ANSI/IES are the standards used. The Cisumdawu tunnel is used as the case study. The simulation results show that the luminance in the interior zone using LED or HPS lamps meets the SNI standard. Using LED lamps results in higher luminance with less power than using HPS. This discovery can improve energy efficiency in tunnel environments and contribute to lighting solutions for transportation infrastructure.

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Section: Introductionmentioning

confidence: 99%

Modeling Night and Daylighting Toll Road Tunnel Using Dialux to Compare the Performance of HPS and LED Lamp

Setyaningsih,

Pragantha,

Candra

2024

Int. J. Adv. Sci. Eng. Inf. Technol.

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“…In tunnels, pollutants, such as dust, dirt, road salt, particles from abrasion of the road surface and tyres, and combustion residues from vehicles, accumulate on the pavements, walls, and tra c signs over time. For safety and maintenance reasons, tunnels are washed on a regular basis (2-12 times per year) (Chen et al, 2023;Paruch and Roseth, 2008b). The washing routine depends on factors such as tunnel size and tra c load (Meland and Rødland, 2018).…”

Section: Introductionmentioning

confidence: 99%

Tunnel wash water in a cold climate: characteristics, ecotoxicological risk, and effect of sedimentation

Sosalla,

Uhl,

Vistnes

et al. 2024

Preprint

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The characterization of tunnel wash water (TWW) from 12 Norwegian tunnels showed very high concentrations of total suspended solids (TSS), metals, and polycyclic aromatic hydrocarbons (PAHs). The particulate matter is dominated by iron, aluminium, manganese, and zinc, where iron and aluminium hydroxides account for about 40% of the TSS. But the concentrations of metals such as copper, zinc, and cadmium cause the TWWs studied to be classified as having poor water quality, using environmental quality standards. Metals in the particulate fraction are removed effectively by sedimentation. However, those responsible for the classification of bad water quality seem to be present to a greater extent in small particles or colloids and are removed to a lesser extent from the particulate fraction. No removal of metals from the dissolved fraction by sedimentation was found. However, PAHs were removed more significantly from the dissolved phase than from the particulate phase. It is evident from the results that PAHs with four to six aromatic rings preferentially adsorb to particles during the sedimentation process, while smaller PAHs, with fewer rings, stay in the dissolved phase. Finally, a closer evaluation of secondary treatment of TWW, regarding effectivity and economic efficiency, is recommended.

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“…There are many causes of tunnel accidents and many factors influencing traffic safety [6][7][8]; human factors account for more than 85% of the factors [9], and they are also the core cause of tunnel accidents. The impact of other factors in the traffic system, such as vehicles, roads, and the environment, will also be reflected in driver psychology and driving behavior.…”

Section: Introductionmentioning

confidence: 99%

Cluster Analysis of Freeway Tunnel Length Based on Naturalistic Driving Safety and Comfort

et al. 2023

Sustainability

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The tunnel is an important component of freeway operation safety, and its classification method is the foundation of a refined management of operation safety. At present, the impact of different categories of tunnels on driver safety, comfort, and driving behavior under naturalistic driving conditions is not clear, and there is a lack of classification methods for tunnels of different lengths in their operation stages. This paper was based on the driving workload, which effectively expresses the safety and comfort of drivers. In this context, naturalistic driving experiments in 13 freeways and 98 tunnels with 36 participants were carried out. The DDTW+K-Means++ algorithm, which is suitable for drivers’ driving workload time series data, was used for a clustering analysis of the tunnels. According to the length of the tunnel, the operation-stage tunnels were divided into three categories: short tunnels (<450 m), general tunnels (450~4000 m), and long tunnels (>4000 m). The length of the tunnel had a positive correlation with the drivers’ driving workload, while there was a negative correlation with the vehicle running speed, and the range of changes in the drivers’ driving workload and operation safety risks in general tunnels and long tunnels was higher than that in short tunnels. Road and environmental conditions are important factors affecting the driving workload. The entrance area, the exit area of tunnels, and the middle area of long tunnels are high-risk sections in the affected area of the tunnel. These research results are of great significance for the operation safety management of freeway tunnels.

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Traffic safety assessment and prediction under different lighting service states in road tunnels

Cited by 9 publications

References 34 publications

Modeling Night and Daylighting Toll Road Tunnel Using Dialux to Compare the Performance of HPS and LED Lamp

Modeling Night and Daylighting Toll Road Tunnel Using Dialux to Compare the Performance of HPS and LED Lamp

Tunnel wash water in a cold climate: characteristics, ecotoxicological risk, and effect of sedimentation

Cluster Analysis of Freeway Tunnel Length Based on Naturalistic Driving Safety and Comfort

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