Abstract
In Brazil there is the perspective of significant growth in the volume of data being processed by vehicle tracking services companies as a result of natural increase in the use of tracking systems. This growth generates the need for the incorporation of analytical tools in the management of vehicle tracking systems and risk managing, in order to increase their efficiency and cater to the market growth. This paper aims to develop a model for identifying the Spatial Behavior Patterns of Monitoring Vehicles (SBPMV) using a spatial analysis tool to aid the process of decision making in vehicle monitoring and the urban transportation system management. Although the results obtained are valid for the particular configuration presented in this article, the proposed methodological analysis allows the characterization of spatial patterns of vehicle movements in the study area during the considered period, which is useful, for instance, for city planners, enterprise logistics and insurance companies. The conclusion is that the result of the comparison between the collected real-time positioning data with the spatial distribution model obtained through the characterization of the spatial behavior patterns is able to detect abnormalities in the vehicle movement behavior and provide subsidies to decision-making process for vehicle monitoring and management systems, which aim the patrimonial and personal safety, and the identification of unexpected movement or risky behaviors.
Key words:
Vehicle Monitoring; Urban Mobility; Trajectory Pattern Analysis; Geographic Information Systems; Kernel Density Estimator
