Lot 1: Establishment of the National Central C-ITS Node
The National Central C-ITS Node includes a central C-ITS station (Central C-ITS Station) and an exchange node. The central C-ITS station creates the content of messages regarding unspecified C-ITS service protocols and scenarios. Through the National Node, various stakeholders will communicate with each other in a trusted manner. In the future, it is expected that more information providers will connect to the system and will provide data for various C-ITS services and scenarios. Thus, safety messages and traffic status alerts will be sent directly to vehicles from different automotive manufacturers.

Lot 2: Implementation of Mobile Laser Scanning and Determination of the Axis Along the Traffic Lane
The aim of the task is to capture and digitalize road traffic infrastructure data for the needs of autonomous driving. The task will address the geometry of traffic surfaces at the lane level to determine the digital axis along the traffic lane. The digital model of the axis along the traffic lane is part of the Digital Traffic Infrastructure (DPI) NCUP. The results of the task will support new digital services in traffic. The digital model must provide support for navigation, serve as a source of information for cooperative traffic information systems (C-ITS), and in the future, enable and support autonomous driving. This public procurement includes field data capture using mobile laser scanning and spherical photography of state roads over a length of 1,937 km (in both directions; G1, G2, R1, and selected sections R2).

Lot 3: Establishment of a System for Analyzing Traffic Flows on Public Roads
The main goal of the video analytics system is to improve the data obtained about free-flowing vehicle movement on public roads, which we will achieve by analyzing vehicle speed data calculated from the flow recordings of already existing traffic monitoring cameras. The main result of the public procurement will be the development of a software solution for dynamically calculating vehicle speeds from the flow recording provided by traffic monitoring cameras. The calculated data will be integrated into the existing client platform for managing mass data of vehicle follow-up in real time (FCD platform).