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 7):
The method of  claim 6 , wherein the computing the fill rate parameter comprises identifying, by the server, rearmost positional coordinates amongst the positional coordinates of the at least one navigational device within the second boundary coordinates, the rearmost positional coordinates being the positional coordinates of a rearmost navigational device amongst the at least one navigational device within the second boundary coordinates according to the traffic direction in 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): 0.6210128501373184
- 35 USC 102 Novelty (BERT): 0.6290528036667016
- Combined Prediction Score: 0.6218168454902568
- Mean Citation Score: 225.738286
- Max Citation Score: 537.22217
- Similarity Product: 525.5626425203073

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