Abstract: Systems and methods are provided for the determination of routes from, for instance, travel segment network data associated with different data versions. More particularly, a request can be received for a route from an origin to a destination. Graph data modeling a travel segment network for a geographic region associated with the origin and for a geographic region associated the destination can be accessed. The graph data can preserve boundary nodes for visiting during a search (e.g. a contraction hierarchies style search) for a shortest path through the graph data. The reach value of a boundary segment can be considered in identifying boundary segments to be visited during the shortest path search through the graph data. The route can be determined based at least in part on the shortest path.

Abstract: Systems and methods are provided for the determination of routes from, for instance, travel segment network data associated with different data versions. More particularly, a request can be received for a route from an origin to a destination. Graph data modeling a travel segment network for a geographic region associated with the origin and for a geographic region associated the destination can be accessed. The graph data can preserve boundary nodes for visiting during a search (e.g. a contraction hierarchies style search) for a shortest path through the graph data. The reach value of a boundary segment can be considered in identifying boundary segments to be visited during the shortest path search through the graph data. The route can be determined based at least in part on the shortest path.

Abstract: A public transit travel planning system and methodology that uses an extensive pre-processing approach of transit information prior to query time on order to determine optimal public transit routes for journeys. At query time, since the transit information has already been processed by the system, very little computation is needed in order to fulfill the query. The system then provides users with public transit directions in response to the queries for public transit journeys.

Abstract: A public transit travel planning system and methodology that uses an extensive pre-processing approach of transit information prior to query time on order to determine optimal public transit routes for journeys. At query time, since the transit information has already been processed by the system, very little computation is needed in order to fulfill the query. The system then provides users with public transit directions in response to the queries for public transit journeys.

Abstract: A public transit travel planning system and methodology that uses an extensive pre-processing approach of transit information prior to query time on order to determine optimal public transit routes for journeys. At query time, since the transit information has already been processed by the system, very little computation is needed in order to fulfill the query. The system then provides users with public transit directions in response to the queries for public transit journeys.

Abstract: A public transit travel planning system and methodology that uses an extensive pre-processing approach of transit information prior to query time on order to determine optimal public transit routes for journeys. At query time, since the transit information has already been processed by the system, very little computation is needed in order to fulfill the query. The system then provides users with public transit directions in response to the queries for public transit journeys.

Abstract: A public transit travel planning system and methodology that uses an extensive pre-processing approach of transit information prior to query time on order to determine optimal public transit routes for journeys. At query time, since the transit information has already been processed by the system, very little computation is needed in order to fulfill the query. The system then provides users with public transit directions in response to the queries for public transit journeys.