WiFi-based indoor positioning and navigation as a new mode in multimodal transit applications
First Claim
1. A system for planning a trip, comprising:
- heterogeneous data sources including map data, traffic information, vehicle trace data, weather reports, social media data, commuter feedback data, GIS data, and travel time data;
a stream analytics engine coupled to the heterogeneous data sources;
a batch analytics engine coupled to the heterogeneous data sources;
a multi-modal journey planner coupled to the stream analytics engine and the batch analytics engine, the multi-modal journey planner processing indoor travel information and providing real-time updates while a journey is under progress, the multi-modal journey planner providing a journey time forecast as the journey time reflects indoor travel time;
an indoor positioning system with navigation capability integrated into the multimodal journey planner that allows indoor delays to be automatically factored into multimodal journey plans; and
a module to perform dynamic route updates in response to traffic anomalies like accidents, road closures or congestion.
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Accused Products
Abstract
A system for planning a trip includes heterogeneous data sources including map data, traffic information, vehicle trace data, weather reports, social media data, commuter feedback data, GIS data, travel time data; a stream analytics engine coupled to the heterogeneous data sources; a batch analytics engine coupled to the heterogeneous data sources; and a multi-modal journey planner coupled to the stream analytics engine and the batch analytics engine, the multi-modal journey planner processing indoor travel information and providing real-time updates while a journey is under progress, the multi-modal journey planner providing a journey time forecast as the journey time reflects indoor travel time.
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Citations
19 Claims
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1. A system for planning a trip, comprising:
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heterogeneous data sources including map data, traffic information, vehicle trace data, weather reports, social media data, commuter feedback data, GIS data, and travel time data; a stream analytics engine coupled to the heterogeneous data sources; a batch analytics engine coupled to the heterogeneous data sources; a multi-modal journey planner coupled to the stream analytics engine and the batch analytics engine, the multi-modal journey planner processing indoor travel information and providing real-time updates while a journey is under progress, the multi-modal journey planner providing a journey time forecast as the journey time reflects indoor travel time; an indoor positioning system with navigation capability integrated into the multimodal journey planner that allows indoor delays to be automatically factored into multimodal journey plans; and a module to perform dynamic route updates in response to traffic anomalies like accidents, road closures or congestion. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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Specification