Research on feasibility of computational fluid dynamics (CFD) method for traffic signs board calculation

Chao, Shih-Hui; Jiao, Chengwu; Liu, S

doi:10.1088/1755-1315/40/1/012061

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…e research results show that the accuracy of this method reaches 97.67%, which is better than the single feature method and greatly shortens the recognition time. Chao et al [21] proposed a calculation method for special guide signs to reduce wind load measures, saving construction materials and costs. Wogalter and Barlow [22] took the driver as the research object, analyzed the social influence on the driver's psychological activities, and put forward the necessary factors for the design of traffic signs.…”

Section: Introductionmentioning

confidence: 99%

The Analysis of Driver’s Recognition Time of Different Traffic Sign Combinations on Urban Roads via Driving Simulation

Liu

Deng

2021

Journal of Advanced Transportation

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Given the impact of traffic sign combinations (TSC) on the driver’s visual recognition, this paper analyzed the influence on the driver’s visual recognition process. It used the cognitive psychology theory to establish the information transmission model during the traffic sign combinations. It abstracted the information transmission model to construct the driver’s information processing model. Simultaneously, according to the analysis of the traffic sign combinations of the urban roads, this paper carried out the driver’s visual recognition simulation test when the traffic signs were combined, measured the reaction time of the driver’s visual recognition of multiple combinations of traffic signs, and analyzed the driver’s recognition time (DRT) range in the traffic sign combinations. It used correlation analysis, robust estimation, polynomial regression, and other methods to obtain a significant relationship between the driver’s recognition times in different traffic sign combinations (DTSC). Then it built polynomial regression analysis models, fitted the data, and visualized the fitting results. The results show that through the analysis of the experimental data, based on ensuring certain accuracy, the driver’s recognition time of the traffic sign combinations of the urban road increased appropriately. There is a significant relationship between different traffic sign combinations and the driver’s recognition time. As the number of traffic signs increases, the driver’s recognition time increases significantly. Besides, under certain conditions, gender, age, and the driving experience will impact the driver’s recognition time during the traffic sign combinations. The research results can provide the relevant theoretical basis for the setting of urban traffic signs, provide a powerful reference for the revision of various traffic sign setting standards and norms, and provide ideas for future research on the sign system.

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Section: Introductionmentioning

confidence: 99%

The Analysis of Driver’s Recognition Time of Different Traffic Sign Combinations on Urban Roads via Driving Simulation

Liu

Deng

2021

Journal of Advanced Transportation

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“…With CFD simulation software, the sign board is simulated and evaluated in the wind field environment [27,28], the aerodynamic effects and wind pressure distribution characteristics of the sign board surface are studied [29][30][31][32], and wind-induced response analysis is carried out [33,34]. Besides, Chao et al [35] demonstrated the feasibility of CFD simulation through the theoretical calculation method of wind load on traffic sign boards. Shirzadi et al [36] analysed steady-state the Reynolds average NS model (RANS), Large eddy simulation (LES), and wind tunnels using CFD.…”

Section: Introductionmentioning

confidence: 99%

CFD simulation study on wind load of perforated traffic sign board

Zeng

et al. 2020

PLoS ONE

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Traffic sign boards are often blown away by strong winds, seriously endangering the safety of vehicles and pedestrians. To increase their resistance to strong winds, sign boards are perforated. Using computational fluid dynamics simulations, the wind load resistance of traffic signs with holes was optimised. By comparing the solutions to different turbulence models with empirical results, it was found that the simulation results of the re-normalisation group (RNG) model have the smallest error. Therefore, the RNG model is used to simulate the wind load of traffic sign boards with different perforation diameters and different hole spacings under different wind speeds. By analysing the wind pressure distribution on the surface of the perforated traffic sign board, the perforation scheme for different regions of the sign board under different wind loads was obtained. The results show that reasonable perforation diameters and hole spacings can reduce the wind load and improve the wind load resistance of sign boards. This study provides decision-makers with useful information for installing traffic signs in areas affected with strong winds, thereby improving the wind resistance of traffic signs and ensuring traffic safety.

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Research on feasibility of computational fluid dynamics (CFD) method for traffic signs board calculation

Cited by 2 publications

References 2 publications

The Analysis of Driver’s Recognition Time of Different Traffic Sign Combinations on Urban Roads via Driving Simulation

The Analysis of Driver’s Recognition Time of Different Traffic Sign Combinations on Urban Roads via Driving Simulation

CFD simulation study on wind load of perforated traffic sign board

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