The article describes the requirements for automatic weighing systems for vehicles in motion. These systems can be divided into two types – preselective WIM and accurate weighing systems HS-WIM, which do not require vehicles to be stopped. The metrological requirements, the scope of data collected in a weigh-in-motion system, and the legal solutions that form the basis for imposing a penalty are key to the effective imposition of penalties. Accordingly, the article describes the requirements for WIM systems used in procurements carried out by the General Directorate of National Roads and Highways, as well as those specified in the COST 323 standard, set forth by the International Society for Weighing Vehicles in Motion – ISWIM (based on assumptions developed by the International Organization of Legal Metrology, contained in the OIML R 134-1 recommendation), and those set forth in the American ASTM E1318-09 standard. The authors describe an example of the HS-WIM system operating in Hungary, giving the legal basis, the way the system works and the scope of data collected and processed. The article formulates the thesis that the correct operation of the HS-WIM system is primarily due to appropriately designed legal provisions, which are the basis for imposing penalties and specifying the principles of legalization of weighing systems, and the method of managing the system and flexibility in its implementation can have a fundamental impact on whether the system will be permanently introduced in a given country.

The article describes the issue of transport automation, which is one of the current trends in the development of vehicles and road infrastructure. The way to implement automated vehicles and then use fully autonomous vehicles has not yet been determined, but it can be assumed that they will provide a solution supporting sustainable mobility — especially within cities and urban agglomerations. It will be possible thanks to reaching a compromise between economic, social and environmental goals, characteristic for sustainable mobility. The implementation of new concepts in the field of mobility on demand, vehicle sharing and rental, combined with transport automation, should result in reducing traffic congestion and lowering the emission of harmful exhaust components. The models for the delivery of goods that can take place at night may also change, which may improve the use of the fleet of vehicles, road and warehouse infrastructure. Selected properties of automated and autonomous vehicles can be used to support the demands of sustainable mobility.

The study was aimed at characterizing the issues related to the autonomy of road transport. Aspects of urban mobility were presented, as well as examples of vehicles that are currently being tested in real conditions.

The article describes C-ITS solutions that were included in the analyzes carried out for the purposes of the RID 4D project, entitled "Impact of the use of Intelligent Transport Systems services on the level of road safety" implemented at the request of the General Directorate for National Roads and Motorways and the National Center for Research and Development (contract no. DZP/RID-I41/7/NCBR/2016).

C-ITS solutions are the next stage in the development of Intelligent Transport Systems. Data from these systems can be used as part of the so-called Local Dynamic Maps, which are a tool combining static information about roads, road and roadside infrastructure with dynamic road information. The dynamic data range includes information sent to vehicles, including about road incidents or emergency braking, and their use can contribute to increasing road safety. In addition, increasing the amount of data available will enable more accurate response to threats by driver assistance systems in emergency situations, including systems used in autonomous vehicles.

The article also describes the possibility of supporting the development of electromobility by ITS solutions, mainly due to more efficient information to drivers about the possibility of charging a car traction battery and the use of intelligent outdoor locations, taking into account the battery level, as well as the location and availability of charging points.