Reconstruction and analysis of road traffic accidents represent an inherently complex task. This is especially true for one of the most significant accident categories, vehicle-pedestrian collisions. Forensic traffic and vehicle technical experts must determine the relevant impact speeds in virtually all cases, based on a wide variety of objective traces. The most relevant evidence and information can be obtained on-site within a limited period following the occurrence of the accident. These indispensable sources of information cannot be reproduced later or can only be reproduced to a very minimal extent. Therefore, it is essential to uncover as many traces at the accident site as possible and as soon as possible. In certain cases, the so-called rapid expert calculations may need to be performed on-site. In this paper, we seek solutions related to these rapid calculations and to facilitating the determination of speeds that play a critical role in vehicle-pedestrian accidents. The proposed approach may simplify the daily work of forensic traffic and vehicle technical experts.

This paper explores the development of a traffic simulator that harnesses the power of OpenStreetMap (OSM) data, integrating it into a unified framework using Blender, SUMO (Simulation of Urban MObility), and Unity 3D. The project aims to provide a realistic and versatile platform for simulating complex transportation scenarios for urban planning, traffic management, and virtual environment creation. The process begins with the extraction and preprocessing of OSM data, ensuring the representation of road networks and geographic features. Blender, a 3D modelling software, is used to visualise and enhance the environment. The resulting 3D models are loaded into Unity. SUMO - a microscopic traffic simulation software - plays a role in modelling vehicle dynamics, traffic flow, and interactions within the simulated environment. Via an integration hub, bringing together the visuality of Unity 3D environment and SUMO's precise traffic simulation. Through this collaboration, the simulator offers real-time interaction and analysis. With the help of SUMO's free emissions module, the pollution resulting from driving behaviour can be measured not only at the individual level but also the impact on the network as well. The combination of OSM data, SUMO, Blender, and Unity 3D provides a powerful and free tool to study and optimise urban mobility, ultimately contributing to the development of smarter and more sustainable transportation systems.

The elderly make up an increasing percentage of the European population and, with it, of the Hungarian population. Modern society is built around mobility. These two factors together lead to an increasing proportion of elderly drivers on the roads. Given the high proportion of people with chronic neurological conditions (stroke, Parkinson's disease, dementia), particular care should be taken to regularly check their fitness to drive. At present, there is no standardized, well-established protocol for the objective assessment of fitness to drive in the case of these diseases. Our paper discusses this matter.