Abstract
One class of methods for black spots identification is based on the analysis of: traffic accidents (TA), road parameters, and traffic intensity. The data used in the analysis can be grouped into the information about: roads, persons participating in TA, vehicles participating in TA, traffic accidents and their consequences, and traffic. These categories of data are usually under the jurisdiction of different traffic and non-traffic subjects. Therefore, it is necessary to exchange traffic safety data among the following sources: traffic police, road manager, and health and judicial sector. This paper proposes a model for the exchange and integration of traffic safety data into a single database, which allows the calculation of risks for road sections, as well as the classification and ranking of the sections. The model is based on B2B integration of service-oriented applications. This paper describes a practical example that demonstrates the proposed integration model.
Highlights
Business of transport and traffic companies is based on quick decision-making, efficient application of decisions, flawless coordination, efficient communication and information sharing
This paper proposes a model for the exchange and integration of traffic safety data into a single database, which allows the calculation of risks for road sections, as well as the classification and ranking of the sections
In the calculation of risks the data about road sections for the given time period were used: the total number of traffic accidents (TA) on the road section, the number of traffic accidents including fatalities, the number of accidents resulting in injury, the number of accidents resulting in material damage only, the number of fatalities, the number of serious injuries, the number of light injuries, Annual Average Daily Traffic (AADT) on the road section, and the section lengths
Summary
Business of transport and traffic companies is based on quick decision-making, efficient application of decisions, flawless coordination, efficient communication and information sharing. This paper proposes a model of communication between traffic and non-traffic business information systems (IS) which is supposed to help in bridging these gaps. Interoperability of traffic and non-traffic subjects provides two or more business entities with the ability of exchanging or sharing information and using the functionality of one another in a distributed and heterogeneous environment [2]. The authors in [4] confirm claims that the “Safetyin-Numbers” principle is relevant in the area of traffic safety To implement this principle in real circumstances, “Numbers” must be a product of interoperable information systems, as opposed to manual calculations done by the researchers. The rest of this paper is organized as follows: in the second section, a model of information exchange between traffic and non-traffic information systems based on integration of service-oriented applications is proposed and analyzed.
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