How to effectively reduce the traffic risks caused by bad weather?

China has a vast territory, with complex terrain and changeable climate. Bad weather can easily lead to road traffic risks, mainly including rainfall, snowfall, road icing, dense fog and high temperature.

1, Rainfall: Rainwater not only affects the visibility when driving, but also reduces the friction coefficient of the road surface, leading to vehicle skidding and accidents. Moreover, when encountering heavy precipitation, it is easy to cause secondary disasters such as flash floods, mudslides and landslides.

2. Snowfall and road icing: Compared with rainfall, it is more likely to cause road skidding, and road icing will affect the line of sight as strong radiation.

3, dense fog: also known as mass fog, high density, low visibility, shortening the reaction time of driving.

4. Temperature: In hot weather, the surface temperature is higher than the air temperature. At high temperature, the increase of tire pressure is easy to cause a puncture, and it is also easy to cause an accident because the car breaks down at high temperature.

For these problems, drivers should pay attention when traveling, keep the driving distance and don't drive fatigue. Identifying risks in advance, early detection and early warning are particularly important. At present, the country has managed 65,438+008 road sections seriously affected by bad weather. In addition to increasing road monitoring facilities, joint scientific and technological innovation enterprises adopt digital and intelligent means, image recognition, heat map, mobile monitoring and other technologies to enhance their business capabilities such as intelligent identification of bad weather and intelligent early warning and forecasting of traffic.

The bad weather road safety intelligent monitoring system developed by Guangzhou Shupengtong Technology Co., Ltd. uses video image analysis technology, and has built-in high-performance AI intelligent accelerator card, AI business platform and high-precision AI weather identification algorithm, which can automatically identify the low visibility weather of video images and give an alarm in real time without manual intervention.

1. Flexible video codec gateway can access surveillance videos from different manufacturers and support multiple formats.

2. The recognition of fog in low-light scenes makes the recognition more accurate at night and in scenes with low visibility.

3. Mobile weather identification based on vehicle-mounted equipment is a powerful supplement to fixed monitoring stations, which can realize the whole process monitoring of road sections.

4. Monitor and warn the low-temperature ice condition of the pavement based on the thermal spectrogram, and establish a model accurate to the meter level through the thermal spectrogram to invert the pavement temperature.