Abstract:

Video Surveillance Systems (VSS) are one of the key components of intelligent transportation systems (ITS), which are used for monitoring vehicle traffic, as well as detecting traffic incidents and disruptions. VSS allow for real-time observation of people or objects, and registration of events for later analysis. Unmanned aerial vehicles (UAVs) are becoming increasingly common in ITS intended for reconnaissance, preventive, and/or rescue operations. To ensure the efficiency of transportation in increased traffic conditions, users need to be provided with information about meteorological conditions prevailing on roads, traffic, current events, and any present difficulties, as well as information on the availability of parking spaces. In each of the mentioned cases, the reliability and quality of the information provided with UAVs is an extremely important issue. However, the ability to provide surveillance services with a predictable level of data quality and reliability remains an important challenge for these platforms, leading to the necessity of evaluating critical factors for reliability in the context of technical and environmental parameters. To solve this issue, the article focuses on how to assess the impact of technical and environmental determinants of UAV operation on the reliability and quality of data transfer in VSS. The article also describes tests, which were performed using the existing infrastructure of the laboratory monitoring network, based on four domains and Phantom 3 Professional UAV. The authors achieved system reliability of 99.85% and tested the impact of weather conditions on data transmission accuracy.