## 4 Results and Discussion
Additionally, the significant number of transit vehicles contributes to this impact, as these large urban centers are situated at the juncture of main traffic arteries and are frequently traversed by these routes (Figure 3). Regionally, the South Development Region and the Bucharest-Ifov Region are significant for the high impact of traffic incidents recorded on the DN 1 and its immediate  
Figure 3: Spatial distribution of cumulative impact in terms of incident occurrence pattern. surroundings, coupled with the relatively high density of national roads in these areas. Similarly, the center of the Centre Region, specifically Alba County, and the western part of the North-West Region, are marked by a high density of roads and serve as key nodes within the national traffic network. The study also examines incidents influenced by weather-related traffic conditions at the time of occurrence. The importance of weather factors was categorized into four groups: normal weather, rain/wind/blizzard, fog, and sleet/snow. To determine the significance of these weather conditions in the spatial integration process, an AHP matrix was developed. This matrix facilitates a direct comparison of the importance of these weather-related factors in influencing traffic incidents (Table 5). Discussions with traffic safety institution representatives led to the conclusion that the construction of the matrix for weather-related traffic incidents should prioritize the frequency and severity of accidents. Based on this principle, it became apparent that incidents occurring under normal weather conditions are most significant in this context. Incidents happening under specific weather conditions typically result in less severe damage and occur less frequently, hence their relative importance is lower compared to other incident types. The matrix analysis clearly reflects these insights: traffic incidents in normal conditions carry a very high importance of 62.8%, while those under rain/wind/blizzard conditions account for 22.1%. Incidents in fog and sleet/snow conditions have a considerably lower share, under 20%. The matrix's 4% consistency further validates the relevance of the parameter comparisons, making it suitable for use in the analysis. Spatially (Figure 4), the impact intervals between 1000-10,000 m are prominent, with a cumulative weight of 23.25% and an approximately equal distribution among them. The interval with the smallest spatial extent, yet the highest importance, has a weight of 1.39%, indicating a relatively minor cumulative high impact at the national level in Romania. Examining the spatial distribution (in Figure 4) of the high-importance range of 200-1000 m, a significant feature is its presence primarily in large urban centers and along certain sections of European roads. Particularly, this includes the E60 segment between Cluj-Napoca and Oradea, the E85 segment from Buzau to Suceava, and the E70 segment spanning Caransebes, Lugoj, and Timisoara. Additionally, there is a singular extension along the E60 segment between Bucharest, Ploiesti, and Campina, all areas known for high levels of vehicle traffic. Moreover, the first two impact intervals are found extensively on national roads. These include the DN15C segment from Praxia to Targu-Neamt to Piatra-Neamt, the DN15B segment from Pipirig to Targu-Neamt to Motca, the DN15 segment between Piatra-Neamt and Bacau, the DN71 segment from Tartasesti to Pucioasa, and the DN18 segment from Borsa to Sighettu Marmatiei. These roads experience significant traffic due to their roles as connectors to European roads, motorways, or points along the country's western border. \begin{table}
\begin{tabular}{l c c c c c} \hline \hline  & **Normal** & **Rain/Wind/Blizzard** & **Fog** & **Sleet/Snow** & **Weight** \\ \hline Normal & 1 & 3 & 7 & 9 & 0.628 \\ \hline Rain/Wind/Blizzard & 1/3 & 1 & 3 & 5 & 0.221 \\ \hline Fog & 1/7 & 1/3 & 1 & 3 & 0.091 \\ \hline Sleet/Snow & 1/9 & 1/5 & 1/3 & 1 & 0.060 \\ \hline \hline \end{tabular}
\end{table}