The article concerns on a methodological approach to design Rest and Service Areas. Because there is recorded steady growth in food cargo that require specific temperatures its resulting in an increase in demand for specialized transport. Transportation of food is usually done using vehicles equipped with refrigeration or heating. The article presents the design requirements for Rest and Service Areas (RSA), which is one of the most important elements of the road network, that condition affects the safety of drivers and cargo. Based on growth assumptions of effectiveness a functional model of RSA consisting five data bases and nine research tasks has been proposed. As a primary parameter studied in the model was the RSA effectiveness assessed by the rate of parking spaces utilization. The values of this index were estimated according to the share of traffic cars leave the motorway to the traffic flow of cars on the motorway. Evaluation of test results was based on the indicative comparative analysis of the existing and forecasted traffic flows of trucks with loads sensitive to the conditions and the time of their carriage. In the article pointed out that decisions taken in the course of modernization of the national RSA network should be reviewed and assessed through simulation studies of the transport process taking into account different boundary conditions, a risk analysis of transport depending on the type of transported cargo and analyze the efficiency and profitability of the national network creation of parking places adapted to specialized service of trucks carrying food cargo.

This article presents the methodology of information analysis, required for planning safe road transport of sensitive cargoes. Based on the literature studies we found that the traditional approaches applied to analyze traffic information are insufficient to ensure safe transport of sensitive loads as they fail to take into account several threatening factors. In addition, the need was noted to develop the procedures that may allow to choose a transport route considering appearance of so-called high-risk zones within road infrastructure, analyze the interdependence of such zones with errors made during the design or operation of road infrastructure and investigate the impact of road traffic on the frequency of road accidents involving Heavy Goods Vehicle. Therefore, article aims to present an integrated approach to traffic information analysis. Thus a multiple stage data ordering procedures were proposed, based on grouping information on accident rates and inclusion of audit results of selected route sections. Considering that transport infrastructure plays an important role in transport safety, the proposed methodology includes the analysis of errors in infrastructure and a merger in the sections the detected risk zones within the road infrastructure in any location. Application of this methodology can improve the planning of road transport of sensitive cargoes. Its verification was carried out on the example of a selected route running through Poland. During the audit of the route, it was found that a number of incorrect design solutions were applied on its separate sections, which may lead to high values of the severity factor for potential collisions and indicator of possible post-accidental losses. As a result of the research, the areas of the route were identified, where high-risk zones are located that threaten the safety of road traffic of vehicles, including those carrying sensitive loads. Research results may be of interest for those, who are involved in planning and organization of sensitive cargo transport, both in domestic and in international relations.

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