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 11):
The method of  claim 1 , wherein the determining the actual number of feedback vehicles located in the target zone and the generating the traffic prediction for the target zone are executable at a second moment in time being later in time than the first moment in time.

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): 0.6259696401083443
- 35 USC 102 Novelty (BERT): 0.6166862514194383
- Combined Prediction Score: 0.6250413012394538
- Mean Citation Score: 225.738286
- Max Citation Score: 537.22217
- Similarity Product: 470.50475540412657

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