PATENT CLAIM ANALYSIS

Application Number: 16158958
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["340", "934000"]

Abstract:
The disclosed embodiments relate to prediction of traffic dynamics. A descriptive model is provided that uses historical probe data to create “tidal-like” patterns for the usual dynamics on the road network and creates a framework for taking a future time, e.g. in terms of month, day, time, and suggesting a typical speed for the specified road network link at that specific time. With this model, better predictions for estimated time of arrival will be derived. As opposed to blindly extrapolating from a static model, the disclosed embodiments dynamically adapt to current conditions using real time data to adapt, based on current conditions, the model from which a predicted speed may be determined.

Claim (Index 10):
The computer implemented method of  claim 1  wherein the selecting further comprises selecting the one of the at least two patterns of the identified subset based on a best fit of the obtained data indicative of real-time traffic conditions.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 97.0
- Lexical Diversity: 1.64935
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15845197', '15361744', '14176361', '12765742', '11428175']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6787046332266041
- 35 USC 102 Novelty (BERT): 0.5250045638686347
- Combined Prediction Score: 0.6633346262908072
- Mean Citation Score: 239.072504
- Max Citation Score: 314.72244
- Similarity Product: 284.4652599723029

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

Dataset: test