Abstract: Identifying a vehicle in a toll system includes accessing image data for a first vehicle and obtaining license plate data from the accessed image data for the first vehicle. A set of records is accessed. Each record includes license plate data for a vehicle. The license plate data for the first vehicle is compared with the license plate data for vehicles in the set of records. Based on the results of the comparison of the license plate data, a set of vehicles is identified from the vehicles having records in the set of records. Vehicle fingerprint data is accessed for the first vehicle. The vehicle fingerprint data for the first vehicle is based on the image data for the first vehicle. Vehicle fingerprint data for a vehicle in the set of vehicles is accessed. Using a processing device, the vehicle fingerprint data for the first vehicle is compared with the vehicle fingerprint data for the vehicle in the set of vehicles.

Abstract: Identifying a vehicle in a toll system includes accessing image data for a first vehicle and obtaining license plate data from the accessed image data for the first vehicle. A set of records is accessed. Each record includes license plate data for a vehicle. The license plate data for the first vehicle is compared with the license plate data for vehicles in the set of records. Based on the results of the comparison of the license plate data, a set of vehicles is identified from the vehicles having records in the set of records. Vehicle fingerprint data is accessed for the first vehicle. The vehicle fingerprint data for the first vehicle is based on the image data for the first vehicle. Vehicle fingerprint data for a vehicle in the set of vehicles is accessed. Using a processing device, the vehicle fingerprint data for the first vehicle is compared with the vehicle fingerprint data for the vehicle in the set of vehicles.

Abstract: Identifying a vehicle in a toll system includes accessing a set of toll transaction entries. Each entry in the set designates a toll transaction between a vehicle and the toll system and includes a transaction descriptor and a transaction time stamp. A series of toll transaction pictures is accessed. The series includes a plurality of pictures, each of which is associated with a picture time stamp. A toll transaction entry is identified from the set as a violation transaction entry based on the transaction descriptor. A toll transaction picture is selected from the series. The transaction time stamp of the violation transaction is compared, using a processing device, with the picture time stamp of the selected toll transaction picture. The selected toll transaction picture is identified as a violation picture corresponding to the violation transaction entry based on a result of the comparison.

Abstract: Identifying a vehicle in a toll system includes accessing a set of toll transaction entries. Each entry in the set designates a toll transaction between a vehicle and the toll system and includes a transaction descriptor and a transaction time stamp. A series of toll transaction pictures is accessed. The series includes a plurality of pictures, each of which is associated with a picture time stamp. A toll transaction entry is identified from the set as a violation transaction entry based on the transaction descriptor. A toll transaction picture is selected from the series. The transaction time stamp of the violation transaction is compared, using a processing device, with the picture time stamp of the selected toll transaction picture. The selected toll transaction picture is identified as a violation picture corresponding to the violation transaction entry based on a result of the comparison.

Abstract: Identifying a vehicle in a toll system includes accessing a set of toll transaction entries. Each entry in the set designates a toll transaction between a vehicle and the toll system and includes a transaction descriptor and a transaction time stamp. A series of toll transaction pictures is accessed. The series includes a plurality of pictures, each of which is associated with a picture time stamp. A toll transaction entry is identified from the set as a violation transaction entry based on the transaction descriptor. A toll transaction picture is selected from the series. The transaction time stamp of the violation transaction is compared, using a processing device, with the picture time stamp of the selected toll transaction picture. The selected toll transaction picture is identified as a violation picture corresponding to the violation transaction entry based on a result of the comparison.

Abstract: Identifying a vehicle in a toll system includes accessing image data for a first vehicle and obtaining license plate data from the accessed image data for the first vehicle. A set of records is accessed. Each record includes license plate data for a vehicle. The license plate data for the first vehicle is compared with the license plate data for vehicles in the set of records. Based on the results of the comparison of the license plate data, a set of vehicles is identified from the vehicles having records in the set of records. Vehicle fingerprint data is accessed for the first vehicle. The vehicle fingerprint data for the first vehicle is based on the image data for the first vehicle. Vehicle fingerprint data for a vehicle in the set of vehicles is accessed. Using a processing device, the vehicle fingerprint data for the first vehicle is compared with the vehicle fingerprint data for the vehicle in the set of vehicles.

Abstract: Identifying a vehicle in a toll system includes accessing a set of toll transaction entries. Each entry in the set designates a toll transaction between a vehicle and the toll system and includes a transaction descriptor and a transaction time stamp. A series of toll transaction pictures is accessed. The series includes a plurality of pictures, each of which is associated with a picture time stamp. A toll transaction entry is identified from the set as a violation transaction entry based on the transaction descriptor. A toll transaction picture is selected from the series. The transaction time stamp of the violation transaction is compared, using a processing device, with the picture time stamp of the selected toll transaction picture. The selected toll transaction picture is identified as a violation picture corresponding to the violation transaction entry based on a result of the comparison.

Abstract: Identifying a vehicle in a toll system includes accessing image data for a first vehicle and obtaining first vehicle identifier data from the accessed image data for the first vehicle. A set of records is accessed. Each record includes first vehicle identifier data for a vehicle. The first vehicle identifier data for the first vehicle is compared with the first vehicle identifier data for vehicles in the set of records. Based on the results of the comparison of the first vehicle identifier data, a set of vehicles is identified from the vehicles having records in the set of records. Second vehicle identifier data is accessed for the first vehicle and is compared to second vehicle identifier data for the set of vehicles in order to identify the first vehicle.

Abstract: Toll transaction payment processing includes accessing image data for a vehicle, the image data corresponding to at least one image of the vehicle engaging in a transaction with a toll facility. The image data is processed to determine one or more vehicle identifiers for the vehicle. A fleet vehicle company associated with the vehicle is electronically identified based on the one or more vehicle identifiers. Billing information for the transaction between the vehicle and the toll facility is electronically communicated to the fleet vehicle company.

Abstract: Identifying a vehicle in a toll system includes accessing a set of toll transaction entries. Each entry in the set designates a toll transaction between a vehicle and the toll system and includes a transaction descriptor and a transaction time stamp. A series of toll transaction pictures is accessed. The series includes a plurality of pictures, each of which is associated with a picture time stamp. A toll transaction entry is identified from the set as a violation transaction entry based on the transaction descriptor. A toll transaction picture is selected from the series. The transaction time stamp of the violation transaction is compared, using a processing device, with the picture time stamp of the selected toll transaction picture. The selected toll transaction picture is identified as a violation picture corresponding to the violation transaction entry based on a result of the comparison.

Abstract: Electronic toll management includes capturing an image of a vehicle triggered by a transaction event representing an interaction between the vehicle and a facility, determining a vehicle identifier based on the captured image, checking whether the vehicle identifier matches a vehicle identifier provided by a party, and notifying the party of an occurrence of a match.

Abstract: Identifying a vehicle in a toll system includes accessing image data for a first vehicle and obtaining first vehicle identifier data from the accessed image data for the first vehicle. A set of records is accessed. Each record includes first vehicle identifier data for a vehicle. The first vehicle identifier data for the first vehicle is compared with the first vehicle identifier data for vehicles in the set of records. Based on the results of the comparison of the first vehicle identifier data, a set of vehicles is identified from the vehicles having records in the set of records. Second vehicle identifier data is accessed for the first vehicle and is compared to second vehicle identifier data for the set of vehicles in order to identify the first vehicle.

Abstract: Toll transaction payment processing includes accessing image data for a vehicle, the image data corresponding to at least one image of the vehicle engaging in a transaction with a toll facility. The image data is processed to determine one or more vehicle identifiers for the vehicle. A fleet vehicle company associated with the vehicle is electronically identified based on the one or more vehicle identifiers. Billing information for the transaction between the vehicle and the toll facility is electronically communicated to the fleet vehicle company.

Abstract: Identifying a vehicle in a toll system includes accessing a set of toll transaction entries. Each entry in the set designates a toll transaction between a vehicle and the toll system and includes a transaction descriptor and a transaction time stamp. A series of toll transaction pictures is accessed. The series includes a plurality of pictures, each of which is associated with a picture time stamp. A toll transaction entry is identified from the set as a violation transaction entry based on the transaction descriptor. A toll transaction picture is selected from the series. The transaction time stamp of the violation transaction is compared, using a processing device, with the picture time stamp of the selected toll transaction picture. The selected toll transaction picture is identified as a violation picture corresponding to the violation transaction entry based on a result of the comparison.

Abstract: Toll transaction payment processing includes accessing image data for a vehicle, the image data corresponding to at least one image of the vehicle engaging in a transaction with a toll facility. The image data is processed to determine one or more vehicle identifiers for the vehicle. A fleet vehicle company associated with the vehicle is electronically identified based on the one or more vehicle identifiers. Billing information for the transaction between the vehicle and the toll facility is electronically communicated to the fleet vehicle company.

Abstract: Identifying a vehicle in a toll system includes accessing image data for a first vehicle and obtaining license plate data from the accessed image data for the first vehicle. A set of records is accessed. The license plate data for the first vehicle is compared with the license plate data for vehicles in the set of records. Based on the comparison of the license plate data, a set of vehicles is identified from the vehicles having records in the set of records. Second vehicle identifier data is accessed for the first vehicle and for a vehicle in the set of vehicles. Using a processing device, the second vehicle identifier data for the first vehicle is compared with the second vehicle identifier data for the vehicle in the set of vehicles. The vehicle in the set of vehicles is identified as the first vehicle based on results of the comparison.

Abstract: Identifying a vehicle in a toll system includes accessing image data for a first vehicle and obtaining license plate data from the accessed image data for the first vehicle. A set of records is accessed. The license plate data for the first vehicle is compared with the license plate data for vehicles in the set of records. Based on the comparison of the license plate data, a set of vehicles is identified from the vehicles having records in the set of records. Second vehicle identifier data is accessed for the first vehicle and for a vehicle in the set of vehicles. Using a processing device, the second vehicle identifier data for the first vehicle is compared with the second vehicle identifier data for the vehicle in the set of vehicles. The vehicle in the set of vehicles is identified as the first vehicle based on results of the comparison.

Abstract: Identifying a vehicle in a toll system includes accessing image data for a first vehicle and obtaining license plate data from the accessed image data for the first vehicle. A set of records is accessed. Each record includes license plate data for a vehicle. The license plate data for the first vehicle is compared with the license plate data for vehicles in the set of records. Based on the results of the comparison of the license plate data, a set of vehicles is identified from the vehicles having records in the set of records. Vehicle fingerprint data is accessed for the first vehicle. The vehicle fingerprint data for the first vehicle is based on the image data for the first vehicle. Vehicle fingerprint data for a vehicle in the set of vehicles is accessed. Using a processing device, the vehicle fingerprint data for the first vehicle is compared with the vehicle fingerprint data for the vehicle in the set of vehicles.

Abstract: Identifying a vehicle in a toll system includes accessing image data for a first vehicle and obtaining license plate data from the accessed image data for the first vehicle. A set of records is accessed. Each record includes license plate data for a vehicle. The license plate data for the first vehicle is compared with the license plate data for vehicles in the set of records. Based on the results of the comparison of the license plate data, a set of vehicles is identified from the vehicles having records in the set of records. Vehicle fingerprint data is accessed for the first vehicle. The vehicle fingerprint data for the first vehicle is based on the image data for the first vehicle. Vehicle fingerprint data for a vehicle in the set of vehicles is accessed. Using a processing device, the vehicle fingerprint data for the first vehicle is compared with the vehicle fingerprint data for the vehicle in the set of vehicles.

Abstract: Identifying a vehicle in a toll system includes accessing image data for a first vehicle and obtaining license plate data from the accessed image data for the first vehicle. A set of records is accessed. Each record includes license plate data for a vehicle. The license plate data for the first vehicle is compared with the license plate data for vehicles in the set of records. Based on the results of the comparison of the license plate data, a set of vehicles is identified from the vehicles having records in the set of records. Vehicle fingerprint data is accessed for the first vehicle. The vehicle fingerprint data for the first vehicle is based on the image data for the first vehicle. Vehicle fingerprint data for a vehicle in the set of vehicles is accessed. Using a processing device, the vehicle fingerprint data for the first vehicle is compared with the vehicle fingerprint data for the vehicle in the set of vehicles.