Abstract: A method includes defining a pre-load zone that has reliable communication along a route. The pre-load zone is associated with a trip of a vehicle traveling along the route. A starting location of the trip is located outside of the pre-load zone. The vehicle is configured to enter the pre-load zone and exit the pre-load zone prior to reaching the starting location of the trip. The method includes receiving a trip request message that identifies the pre-load zone from the vehicle after the vehicle enters the pre-load zone and prior to the vehicle exiting the pre-load zone. The method also includes sending a trip response message to the vehicle that the vehicle receives prior to exiting the pre-load zone. The trip response message includes trip data specific to the trip that is selected based on the association between the pre-load zone and the trip.

Abstract: A method includes defining a pre-load zone that has reliable communication along a route. The pre-load zone is associated with a trip of a vehicle traveling along the route. A starting location of the trip is located outside of the pre-load zone. The vehicle is configured to enter the pre-load zone and exit the pre-load zone prior to reaching the starting location of the trip. The method includes receiving a trip request message that identifies the pre-load zone from the vehicle after the vehicle enters the pre-load zone and prior to the vehicle exiting the pre-load zone. The method also includes sending a trip response message to the vehicle that the vehicle receives prior to exiting the pre-load zone. The trip response message includes trip data specific to the trip that is selected based on the association between the pre-load zone and the trip.

Abstract: A method and system for matching new customer records to existing customer records in a database. The new customer records are validated for quality and normalized into a standard form. A hash key is selected to generate a candidate set of records from the existing records in the database that likely matches the new customer records. The new customer records are then matched to each of the records in the candidate set. Once the matching has been performed, a decision is made on whether to create a new customer record, update an existing record, or save the new record in a pending file for resolution at a later time. In another embodiment, there is a methodology for learning matching rules for matching records in a database. The matching rules are then used for matching a new customer record to existing records in a database.

Abstract: In this invention there is a method and system for matching new customer records to existing customer records in a database. The new customer records are validated for quality and normalized into a standard form. A hash key is selected to generate a candidate set of records from the existing records in the database that likely matches the new customer records. The new customer records are then matched to each of the records in the candidate set. Once the matching has been performed, a decision is made on whether to create a new customer record, update an existing record, or save the new record in a pending file for resolution at a later time. In another embodiment, there is a methodology for learning matching rules for matching records in a database. The matching rules are then used for matching a new customer record to existing records in a database.