Real-Time AI-Enhanced Systems for Road Condition Monitoring
Abstract
The growing number of traffic vehicles, the complexity of road construction and maintenance, and the intensity of use increase the need for road reinforcement and subsequent monitoring. This task becomes essential in larger cities, where the length of pipes and roads makes it difficult to effectively inspect the safety of the entire infrastructure. One solution is to use advanced data analysis tools that can be used to quickly and safely diagnose traffic safety. Therefore, the main goal of the developed system is to ensure road traffic safety and minimum congestion so that driving is as efficient as possible.
Artificial intelligence is becoming increasingly integrated into virtually every industry. However, it is doing particularly well in the field of transportation. The practical introduction of AI has expanded in recent years thanks to the development of more powerful computers and the rapid analysis of very large data sets. It is difficult to overestimate the benefits of integrating various sensors with data analysis. In many cases, this concept is the next step, solving a broad problem that has not been solved before. The real-life applications involving the use of intelligent technologies can produce clear benefits to society. This is especially true for practical applications related to road traffic safety and efficiency.
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