PATENT CLAIM ANALYSIS

Application Number: 16242937
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-07
Patent Classification: ["701", "422000"]

Abstract:
The technology disclosed relates to a method for demand-response scheduling that resolves the most undesirable issues intrinsic to the paradigm of the prior art, namely constructing schedules by “Trip by Trip Insertion” onto service vehicles called routes. These issues are classified into Customer Service, On-time Performance, and Efficiency categories. The first step of the 2-step process is to globally build packets to patterns in a library that provide good Customer Service, On-time Performance protection, and Positive Ridesharing Efficiency. The packets are “Mini-Manifests” that meet all constraints, and once formed, are locked from modification by any subsequent scheduling action. The second step is to globally build routes by chaining packets together, controlled by configurable heuristic strategy. The routes that are built directly resolve the undesirable issues.

Claim (Index 3):
The route processing system of  claim 1 , wherein the processor is configured to execute programmed steps to determine a direction of travel for each requested trip and to group trip requests that have drop off locations that are within a predetermined geographic distance of each other and that are arriving from the same direction of travel as trips that may be included into the same packet.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 99.0
- Lexical Diversity: 1.68235
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['11563418', '15474757', '15457300', '14601167', '13074906']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4459972795334243
- 35 USC 102 Novelty (BERT): 0.4694257236838028
- Combined Prediction Score: 0.4483401239484622
- Mean Citation Score: 137.107238
- Max Citation Score: 143.60034
- Similarity Product: 102.66166579971312

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

Dataset: test