Video detection data as important factor for transport systems safety improvement

The paper presents the analysis and discussion of video detection data usage for discrete transport systems safety improvement. The Autonomous Vehicles (AV) and the Augmented Reality (AR) research in connection with a Driving Assistance (DA) are presented. This article is going to show where the border between those two fields of interest is and how they are going to influence on the future of automotive. The proposal of the AR system – based on soft-computing methods used for an object classification problem – is given. The input data are taken from the real traffic monitoring system located at the set of roads in Poland. Data from the monitoring devices are used to analyze the travel time of vehicles – elements of the transportation system. The travel time model taking into account the real road situation is built. The proposed solution can be an essential tool for the owner and administrator of the transportation systems

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Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).