With the increasing road transport vehicle saturation on highways of Latvia, the role of road transportation network monitoring becomes more and more significant. Taking into consideration that Latvia is a transit country with heavy road traffic, reduction of number of accidents and noise level on the highways of Latvia and control of the physical condition of roads has become the most urgent problems. For several years measurements of accidents and noise level intensity on roads have been made and maps of accidents density and noise spreading near densely populated areas are compiled. Although full information of road accidents and high noise intensity level on highways is not yet amassed, in some cases it has already become possible to highlight some clusters of road accidents and noise intensity. Gathering of information and its intermediate processing will contribute to identification of clusters, so that prompt decisions could be taken. Scan statistics method, described in the paper, is used to state the significant clusters of accidents and level of noise intensity on the roads of Latvia. In this case both parametric and non-parametric methods may be used to describe the distribution of road accidents and noise intensity in Latvia. The research data may be used for developing an efficient strategy of road system management in Latvia leading to reduction of the number of road accidents and noise intensity in Latvia. The use of scan statistics enables to understand and analyse the reasons of the clusters of accident and noise intensity in some specific areas of Latvia. Using the Monte-Carlo statistical method it is possible to realise in practice the direct method of scan modelling, taking into consideration the empirical rules of distribution of road accidents on the highways of Latvia.