Automated traffic route identification through the shared nearest neighbour algorithm

Many organisations need to extract useful information from huge amounts of movement data. One example is found in maritime transportation, where the automated identification of a diverse range of traffic routes is a key management issue for improving the maintenance of ports and ocean routes, and accelerating ship traffic. This paper addresses, in a first stage, the research challenge of developing an approach for the automated identification of traffic routes based on clustering motion vectors rather than reconstructed trajectories. The immediate benefit of the proposed approach is to avoid the reconstruction of trajectories in terms of their geometric shape of the path, their position in space, their life span, and changes of speed, direction and other attributes over time. For clustering the moving objects, an adapted version of the Shared Nearest Neighbour algorithm is used. The motion vectors, with a position and a direction, are analysed in order to identify clusters of vectors that are moving towards the same direction. These clusters represent traffic routes and the preliminary results have shown to be promising for the automated identification of traffic routes with different shapes and densities, as well as for handling noise data.

Factores relativos al entorno, recursos humanos y sistemas de información y gestión en la adopción del cuadro de mando integral en organizaciones portuguesas

In this paper we aim to identify and analyze a set of variables that can potentially influence the adoption of the Balanced Scorecard (BSC) in Portuguese public and private organizations. These variables are related to the environment (perception of environmental uncertainty), with human resources (support of top management) and, information and management systems (strategic map design and establishment of cause-effect relationships between indicators and perspectives of the BSC). Hypotheses were tested using data obtained from a questionnaire sent to 591 publicly-owned organizations and 549 privately-owned organizations in Portugal, with an overall response rate of 31.3%. The results allow us to conclude that the top management commitment, the development of strategy maps and the establishment of cause-effect relationships are factors that are associated with the implementation of the BSC.