Method and System for Generating Adaptive Route Guidance Information

A system comprising one or more processors and a memory for storing a generated version of an electronic model, the model comprising one or more decision trees that is arranged to generate instructions for guiding a user along a predetermined route through a network of navigable elements within a geographic area, the navigable elements being represented by segments of an electronic map connected at nodes, wherein at least some of the nodes are representative of decision points in the network of navigable elements, the one or more processors being arranged to:

• receive feedback data from one or more navigation devices, wherein said feedback data is in respect of instructions at one or more decision points generated by a current version of said model used by the one or more navigation devices when following a predetermined route through the network of navigable elements;
• use the feedback data to generate a plurality of datasets, each dataset comprising:
• data indicative of segments associated with traversing a portion of a predetermined route through a decision point;
• and desired instructions to be generated by a version of the model to guide the user along the portion of the predetermined route through the decision point;
• use one or more machine learning algorithms to generate an updated version of said model based on the generated plurality of datasets;
• and
• provide said updated version of said model to at least one navigation device for use in generating instructions to guide a user of the at least one navigation device along a predetermined route through the network of navigable elements.

A non-transitory computer readable medium comprising instructions which, when executed by one or more processors of a system, cause the system to perform a method for generating a version of a model comprising one or more decision trees that is arranged to generate instructions for guiding a user along a predetermined route through a network of navigable elements within a geographic area, the navigable elements being represented by segments of an electronic map connected at nodes, wherein at least some of the nodes are representative of decision points in the network of navigable elements, the method comprising:

• receiving feedback data from one or more navigation devices, wherein said feedback data is in respect of instructions at one or more decision points generated by a current version of said model used by the one or more navigation devices when following a predetermined route through the network of navigable elements;
• using the feedback data to generate a plurality of datasets, each dataset comprising:
• data indicative of segments associated with traversing a portion of a predetermined route through a decision point and desired instructions to be generated by a version of the model to guide the user along the portion of the predetermined route through the decision point;
• using one or more machine learning algorithms to generate an updated version of said model based on the generated plurality of datasets;
• and
• providing said updated version of said model to at least one navigation device for use in generating instructions to guide a user of the at least one navigation device along a predetermined route through the network of navigable elements.