An optimal design model for tunnel lighting systems

Li, Shu Guang; Tu, Gang; Qinghua, Zhou

doi:10.1016/j.ijleo.2020.165660

Cited by 10 publications

(9 citation statements)

References 7 publications

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“…Figure 8 shows the impact of vehicle speed and position on MTPA during the process of driving out of a long tunnel. It can be seen that the variation range of the MTPA value is (15)(16)(17)(18)(19)(20) in stage 3, suddenly increases to (25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35) in stage 4, and decreases to (5-15) in stage 5. Comparing the height of the MTPA in the three sub-graphs, it can be found that the MTPA value has experienced a significant increase from stage 3 to stage 4, and then a drastic decrease from stage 4 to stage 5 when the vehicle leaves the long tunnel.…”

Section: E Effect Of Speed and Position On Mtpamentioning

confidence: 96%

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Traffic Safety Optimization Strategy of Mountainous Highway Tunnel Based on GA-SVR Visual Load Model

Shang

Bao

et al. 2022

Journal of Advanced Transportation

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Improving the driving safety of mountainous highway tunnels has become an urgent problem in China, while the existing literature pays more attention to the safety of urban tunnels. From the perspective of visual load, this paper built a GA-SVR model to analyze the influences of speed, design brightness, measured brightness, and position in the Gaogu long tunnel. The results show the following: firstly, the changes of MTPA in the long mountainous highway tunnels can be divided into five stages, which is different from the three-stage division of urban tunnels; secondly, the influencing degree of factors was varied in different stages: the position factor mattered most in stages 1, 2, 4, and 5, while the design brightness had the greatest impact in stage 3; thirdly, the driver’s psychological pressure was greatest on the entrance and exit section of the tunnel; lastly, the increased length of mountainous highway tunnels and the long-term enclosed driving environment made the psychological load of drivers intensified. Therefore, it was necessary for the mountainous highway tunnels to consider more accurate gradual lighting design in the 200-m sections after the entrance and before the exit, meanwhile enhancing traffic safety management and protections in the middle of the tunnel.

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Section: E Effect Of Speed and Position On Mtpamentioning

confidence: 96%

“…Based on the cellular event data, the candidate feature set could be extracted by cell switching and position updating. en the feature set was corresponding to the traffic state, position, and time interval, and the SVM classifier could be used to detect the traffic state of the main road [32].…”

Section: Application Of the Support Vector Machine Model Inmentioning

confidence: 99%

Traffic Safety Optimization Strategy of Mountainous Highway Tunnel Based on GA-SVR Visual Load Model

Shang

Bao

et al. 2022

Journal of Advanced Transportation

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“…To determine the optimal scenario, the CRITIC method is used to calculate the weights of each criterion (w j ) using the Equations ( 13)- (15); this method uses the variance of each criterion (σ j ) and its correlation (r jk ). The matrix values are updated using the Equation ( 13) [13].…”

Section: Multi-criteria Analysismentioning

confidence: 99%

“…Currently, research has been conducted where multi-criteria models are applied to the design of street lighting systems, tunnels, and indoor spaces, as developed by [6,13,14,20,24], where multicriteria models are implemented for the problem, while the use of genetic algorithms is explored in the works of [11,15,16,21] y [26]. These studies differ in their optimization objectives and the number of criteria considered.…”

Section: Introductionmentioning

confidence: 99%

Optimal Selection of Distribution, Power and Type of Luminaires for Street Lighting Designs Using Multi-criteria Decision

Valencia Pavón,

Aguila Téllez,

Garcia

et al. 2024

Preprint

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This article introduces an innovative design method for public lighting systems that surpasses the limitations of conventional approaches, which rely on predefined lamp characteristics and spatial arrangement. By employing a multi-criteria decision algorithm, our study proposes an optimal design methodology considering several key aspects, including the distance between lamps, their type, power, and light distribution. The goal is to achieve optimal illumination that enhances visibility on public roads for drivers and pedestrians while simultaneously minimizing glare, installation costs and maximizing energy efficiency. The proposed methodology is implemented through an algorithm developed in Matlab, with results validated through simulations in Dialux. This information is used to construct a decision matrix, assessed using the CRITIC method across 180 different scenarios within a specific case study. The findings demonstrate the effectiveness of multi-criteria decision-making as a tool for significantly improving the planning and design of lighting in public illumination systems, allowing for selecting the optimal combination of parameters that ensure the best lighting conditions.

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“…Since then, many researchers have proposed different optimization design methods to satisfy these guidelines. The optimization method should consider the technical design of the illumination system, such as the luminaries' parameters and spacing between them, the luminous flux and luminance inside and outside the tunnel, installation and maintenance cost [2]. For example, the study done in [3] proposed an optimization approach to tackle the issue related to the light distribution of luminaires design.…”

Section: Introductionmentioning

confidence: 99%

Tunnel Illumination: Algorithm to Determine Standard Values of Luminance in Tunnel Zones Using C Programming Language Approach

Perdahçi

Hasanoglu

Sogodok

2021

L&E

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Tunnel illumination design involves complex mathematical computation, cumbersome, and tedious to perform when done by hand. This paper proposes an algorithm to compute luminance and luminous flux of the different zones of the tunnel by following the International Commission on Illumination (CIE88:2004) standard design guidelines using the C programming language. The luminance and the luminous flux values of all the zones were calculated and compared with the CIE standard. The energy consumption of each zone is equally found to control and reduce energy wastage and payment of unwanted bills. The threshold zone length Lth, average luminance in the first half Lav, and the last half of the threshold zone are 40 m, 400 cd/m2, and 240 cd/m2, respectively, while the average luminance of the transition and interior zones are, respectively, 95.87 cd/m2 and 5.86 cd/m2. The results obtained were satisfying. The computational results showed that the proposed Algorithm could be used to design an efficient tunnel illumination system with less energy waste.

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An optimal design model for tunnel lighting systems

Cited by 10 publications

References 7 publications

Traffic Safety Optimization Strategy of Mountainous Highway Tunnel Based on GA-SVR Visual Load Model

Traffic Safety Optimization Strategy of Mountainous Highway Tunnel Based on GA-SVR Visual Load Model

Optimal Selection of Distribution, Power and Type of Luminaires for Street Lighting Designs Using Multi-criteria Decision

Tunnel Illumination: Algorithm to Determine Standard Values of Luminance in Tunnel Zones Using C Programming Language Approach

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