PATENT CLAIM ANALYSIS

Application Number: 16059554
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["340", "933000"]

Abstract:
A method and server for generating a traffic prediction for a target zone is provided. The traffic is caused by feedback and non-feedback vehicles in the target zone. Feedback vehicles are associated with devices that provide signals. The method comprises: tracking signals of devices entering a sample zone which comprise coordinates of devices; processing the signals tracked for the devices, the processing comprises: determining an actual number of feedback vehicles in the sample zone; computing a fill rate parameter which is indicative of an estimated total number of vehicles in the sample zone; and determining a feedback ratio which is indicative of an estimated proportion of feedback and non-feedback vehicles in the sample zone; determining an actual number of feedback vehicles entering the target zone; and generating the traffic prediction for the target zone which is indicative of an estimated number of non-feedback vehicles causing traffic in the target zone.

Claim (Index 10):
The method of  claim 7 , wherein the computing the fill rate parameter comprises:\n determining, by the server, an estimated number of vehicles located in a same traffic lane as the rearmost navigational device and located in the traffic sample zone based on (i) the rearmost positional coordinates, (ii) the average size of vehicles, and (iii) the average vehicle-to-vehicle distance in the traffic sample zone; and multiplying, by the server, the estimated number of vehicles located in the same traffic lane as the rearmost navigational device and located in the traffic sample zone by the number of traffic lanes overlapped by the traffic sample zone.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 96.0
- Lexical Diversity: 2.84211
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15829456', '14666588', '15272802', '14646184', '12749699']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6221144560059247
- 35 USC 102 Novelty (BERT): 0.6263239121230646
- Combined Prediction Score: 0.6225354016176388
- Mean Citation Score: 225.738286
- Max Citation Score: 537.22217
- Similarity Product: 513.3510740934873

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test