Predicting human movement behaviors using location services model
First Claim
1. A method performed on at least one computer processor, said method comprising:
- receiving a mobility pattern model comprising;
a transportation network representation having a plurality of location nodes and transportation links between said location nodes;
a plurality of human behavior representations, each of said human behavior representations derived from a human interaction with transportation mechanisms;
modeling human transportation using said mobility pattern model using a representation of a first transportation network to determine a first traffic pattern on a first location node;
modifying said transportation network representation to represent a second transportation network and modeling said human transportation using said mobility pattern model to determine a second traffic pattern on a second location node.
0 Assignments
0 Petitions
Accused Products
Abstract
Human behavior may be predicted by building a model of people'"'"'s physical movements along with a model that represents their affinities to various ontological elements, and their relationships to other people. The model may include a graph of interrelated people, as well as their hobbies, interests, employment, and other elements. The model may be analyzed by simulating people'"'"'s activities as those activities interact with real or hypothetical networks. The real networks may be used to verify the model by comparing measured parameters to predictive parameters derived from simulation to calibrate the models. A calibrated model may then be used with a modified or hypothetical network to analyze the effects of changes to the real network.
-
Citations
18 Claims
-
1. A method performed on at least one computer processor, said method comprising:
-
receiving a mobility pattern model comprising; a transportation network representation having a plurality of location nodes and transportation links between said location nodes; a plurality of human behavior representations, each of said human behavior representations derived from a human interaction with transportation mechanisms; modeling human transportation using said mobility pattern model using a representation of a first transportation network to determine a first traffic pattern on a first location node; modifying said transportation network representation to represent a second transportation network and modeling said human transportation using said mobility pattern model to determine a second traffic pattern on a second location node. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
-
-
10. A system comprising:
-
at least one processor; said processor configured to perform a method comprising; receiving a mobility pattern model comprising; a transportation network representation having a plurality of location nodes and transportation links between said location nodes; a plurality of human behavior representations, each of said human behavior representations derived from a human interaction with transportation mechanisms; modeling human transportation using said mobility pattern model using a representation of a first transportation network to determine a first traffic pattern on a first location node; modifying said transportation network representation to represent a second transportation network and modeling said human transportation using said mobility pattern model to determine a second traffic pattern on a said second location node. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
-
Specification