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The research on fog's positioning performance of vehicles based on visible light
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Abstract
In order to analyze the performance of vehicle positioning using LED traffic lights in foggy environment, the influences of receiving angle, road width, and signal-to-noise ratio (SNR) at the receiver in foggy environment on vehicle positioning range are discussed. The simulation results show that the optimal signal reception angle is 25°; when the vehicle is within 20 m of the LED traffic light, the road width has a greater impact on the received power of the signal; near the traffic light, the positioning distance of the vehicle on the second lane is 2.2 m shorter than that of the vehicle in the first lane; the SNR of the receiver at night is better than during the day, and the positioning range at night is greater than during the day; compared with sunny weather, the SNR in the fog days decrease significantly, which will greatly affect the positioning range of the vehicle, so to ensure safe driving, vehicles need more braking time when driving in foggy days.-
Keywords:
- LED traffic light /
- visibility /
- signal to noise ratio /
- positioning range
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References
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Overview
Overview: The intelligent urban transportation system is an important direction for the development of urban road traffic in the future. It mainly uses the communication between transportation infrastructure and vehicles to build a safe, convenient and green intelligent information platform. Intelligent urban transportation system based on visible light communication has LED traffic lights and vehicle lighting. It can not only realize communication between infrastructure and vehicles, and between vehicles, but also obtain traffic road condition information in real time and accurately obtain vehicle position information. It is of great significance to carry out intelligent highway construction, promoting road network management and vehicle coordination. However, the outdoor atmospheric channel has a great influence on the intelligent urban transportation system based on visible light communication. A large amount of small water droplets or dust particles contained in the air will scatter or absorb the LED beam, causing loss of optical power. Many scholars at home and abroad are studying the communication performance of visible light in atmospheric channels, which lays a foundation for vehicle positioning using LED traffic lights. However, the positioning performance between outdoor LED traffic lights and vehicles in typical weather still needs further study. In this paper, the influence of fog on the vehicle positioning performance using visible light is studied. The influence of the receiving angle on the positioning range is analyzed, and the vertical angle is 45°, 55°, 65°. When the receiver receives a change in angle, the optimal receiving angle for the visible light is determined. By comparing the receiving power of the vehicle in different lanes, it can be seen that the road width has a great influence on the positioning performance within 20 m of traffic lights. The signal-to-noise ratio of the receiver at night is better than during the day under the same visibility. The positioning range of the vehicle at night can be greater than during the daytime. By comparing different concentrations of fog and sunny weather, it can be seen that fog has a greater influence on vehicle positioning based on visible light. Therefore, in order to ensure safe driving in the intelligent urban transportation system, the influence of the weather environment on the positioning distance should be considered when performing visible light vehicle positioning.
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Figure 1.
LED traffic light position system model
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Figure 2.
Relationship between transmission attenuation and visibility
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Figure 3.
Relationship between receiving angle and horizontal transmission distance of optical signal
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Figure 4.
Relationship between received power and horizontal transmission distance of optical signal
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Figure 5.
Show the relationship between signal-to-noise ratio and positioning distance for different visibility during the day.
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Figure 6.
Show the relationship between signal-to-noise ratio and positioning distance for different visibility at night.
