Method for optimizing diurnal lighting of exit section of long tunnel of express way

An optimization method, the technology of expressways, applied in the field of traffic safety, can solve problems that cannot be clearly solved

Inactive Publication Date: 2013-07-24
CHANGAN UNIV
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0004] Although the above studies have achieved some results, none of them can clearly solve the above-mentioned related problems.

Method used

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  • Method for optimizing diurnal lighting of exit section of long tunnel of express way
  • Method for optimizing diurnal lighting of exit section of long tunnel of express way
  • Method for optimizing diurnal lighting of exit section of long tunnel of express way

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0131] Nanwutai Tunnel Expressway Long Tunnel Exit Section at Daytime

[0132] 1. Determination of lighting control parameters

[0133] After using EyeLink II to collect eye movement data in Nanwutai Tunnel, follow the above steps to establish the relational expression of (t, l), and select the appropriate visual adaptation time as the lighting for drivers to adapt to the visual requirements of environmental illumination changes at the tunnel exit during the day The control parameters are shown in Table 1 below.

[0134] Table 1 The control parameters (t,l) required by the driver for the change of ambient illumination at the exit of the tunnel during the day

[0135]

[0136] The lighting control parameters (t,l) obtained from the above calculations for the driver to adapt to the visual requirements of environmental illumination changes during the daytime tunnel exit refer to when the driver’s visual adaptation time is t, if the driver’s vision is comfortable and there is...

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Abstract

The invention discloses a method for optimizing diurnal lighting of an exit section of a long tunnel of an express way. The method comprises the steps of collecting data of tunnel lighting parameters, visual adaptation time and driver pupil area, establishing a driver pupil area and illuminance model, an illuminance and tunnel depth model and a driver visual adaption model, making a three-dimensional curved surface among the driver pupil area, the visual adaptation time and the corresponding environmental illuminance by utilizing software, establishing a function model according to parameters obtained through the curved surface and finally obtaining the relationship among the tunnel exit distance, the vehicle speed and the tunnel optimized illuminance according to calculation. By using the method, not only can the problem of dark adaptation caused by illuminance difference when a vehicle is driven in a nighttime tunnel environment be eliminated and traffic accidents evoked by visual disorder be reduced, but also electric energy consumption of tunnel lighting facilities can be greatly decreased at the same time.

Description

technical field [0001] The invention relates to the field of traffic safety, in particular to a daytime lighting optimization method for the exit section of a long expressway tunnel Background technique [0002] As my country's highway construction gradually advances to the west, more and more highway tunnels have been built and put into operation. As a special structure on the road, the tunnel has the characteristics of closed environment and large differences between inside and outside, especially the difference in lighting environment is extremely obvious. Restricted by the structural and environmental characteristics, the tunnel has become a black spot or section with a high incidence of accidents on the road. Once a road traffic accident occurs, there will be difficulties in rescue, complicated traffic organization, and heavy losses, which will have a great impact on the operational efficiency of the road. In the system of human, vehicle, road and environment, the dri...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCY02T10/82
Inventor 刘浩学赵炜华谢陈江林淼
Owner CHANGAN UNIV
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