Indoor model for road surface state recognition in highway tunnel and simulation method

Abstract

The invention discloses an indoor model for road surface state recognition in a highway tunnel, relates to the technical field of traffic state simulation detection, and provides a more reliable and more accurate test environment for road surface state recognition in a tunnel by adopting an infrared technology through a test device for simulating a real environment in the tunnel in an operation period. According to the specific scheme, the device comprises a simulation ground and an arc-shaped cover, the arc-shaped cover and the simulation ground are arranged in a sealed mode, and door bodiesare arranged at openings in the two sides of the arc-shaped cover; a non-transparent shading plate is laid outside the arc-shaped cover, the shading plate and the arc-shaped cover form a simulation wall surface, and a plurality of ventilation holes are formed in the simulation wall surface; and according to the structure in the model, an anemograph, a dust instrument and a plurality of light sources are arranged at the top, a to-be-tested piece is arranged on the simulation ground, and the to-be-tested piece comprises a replaceable cement concrete test piece and / or an asphalt concrete test piece. The indoor model for identifying the road surface state in the highway tunnel simulates the environmental condition of a real operation tunnel, and fills the gap in the aspect of identifying the road surface state in the tunnel.

Description

technical field [0001] The invention relates to the technical field of traffic state simulation detection, more specifically, it relates to an indoor model and a simulation method for road surface state identification in a highway tunnel. Background technique [0002] Highway tunnels are playing an increasingly important role in the transportation field because of their advantages such as shortening mileage, improving traffic efficiency, and saving land. However, with the continuous increase of car ownership and the gradual deterioration of road surface environmental conditions in tunnels, traffic safety issues have increased year by year and have attracted widespread attention. Once a traffic accident occurs in a tunnel, the danger is very high, and the road surface condition has a crucial impact on driving safety. A large amount of dust and exhaust gas accumulated in the road tunnel will reduce the visibility in the tunnel, and the adhesion to the road surface will reduce...

AI Technical Summary

Problems solved by technology

[0003] The existing technical means for pavement state recognition mainly adopt the optical principle, which is generally aimed at outdoor open-air environment conditions, and the actual environment in the tunnel is obviously different from the outdoor environment, and ordinary pavement state recognition tests and analysis methods cannot be applied

Factors such as the intensity of light in the tunnel, the concentration of pollutant gases such as automobile exhaust in the tunnel, and the dust conditions in the tunnel will have a certain impact on the light emitted by the infrared laser transmitter and the light received by the infrared camera, affecting the refraction, reflection, and scattering of light. , thus affecting the accuracy of road surface state recognition

In the middle section of the tunnel, due to the accumulation of exhaust gas from the cars, smoke is formed, and the light emitted by the infrared laser transmitter will be absorbed and scattered by the smoke, and the dust will also reflect the light, and the headlights of the car will form a light curtain with the smoke to reduce the light intensity. Spreading effects, affecting visibility, adversely affecting optical functions

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