Finally, a (iii) dimensional hierarchy is defined to discretize the domains of the independent variables depending on the cell’s samples.Ī Taxi Network running on a mid-sized city in Portugal was selected as a case study. The (ii) Partioning Incremental Algorithm is then employed to discretize the target variable’s historical values on each matrix cell. The uncovered regions form an O-D matrix which can be updated by transforming the trees’leaves into conditional nodes (and vice-versa). The proposed methodology settles on three steps: (i) Half-Space trees are used to divide the city area into dense subregions of equal mass. Its potential impact ranges Expert Systems for decision support across multiple industries, from demand estimation for public transportation planning till travel time prediction for intelligent routing systems, among others.
By doing so, the authors aimed to obtain a generalist framework capable of summarizing relevant context-aware information which is able to follow, as close as possible, the stochastic dynamics on the human mobility behavior. The main motivation behind such task is to be able to learn from the location-based samples which are continuously being produced, independently on their source, dimensionality or (high) communicational rate. This paper proposes a novel incremental framework to maintain statistics on the urban mobility dynamics over a time-evolving origin-destination (O-D) matrix.
To mine this data is a fascinating challenge which can produce a big impact on both travelers and transit agencies. The availability of these traces on the human mobility patterns is growing explosively.
#Expert gps 2016 portable#
Portable digital devices equipped with GPS antennas are ubiquitous sources of continuous information for location-based Expert and Intelligent Systems.