PATENT CLAIM ANALYSIS

Application Number: 15769000
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["701", "019000"]

Abstract:
A method of controlling hybrid operation of trains having different formation lengths and a communication-based train control (CBTC) system are provided. The method includes: before a train travels into a CBTC area, determining, according to a preset filter area, whether any other vehicle exists in front of the train in a travel direction thereof, if no other vehicle exists in front of the train in the travel direction thereof, determining a formation length of the train according to the filter area, determining, according to the formation length of the train and the filter area, whether any other vehicle exists behind the train in the travel direction thereof, and if no other vehicle exists behind the train in the travel direction thereof, providing the train with a movement authorization.

Claim (Index 2):
The control method according to  claim 1 , wherein setting of the screening area comprises:\n determining at least one marshalling length and a minimum train running length which are allowed in a running line of the train; and setting the screening area in the running line based on the at least one marshalling length and the minimum train running length, wherein the screening area adjoins the CBTC area, at least one screening section respectively matching with the at least one marshalling length is set in the screening area, and each of the at least one screening section starts from an axle counting magnetic head located at an adjoining position where the screening area adjoins the CBTC area.

Metadata:
- Claim Count in Document: 10.0
- Percentile: 91.0
- Lexical Diversity: 2.6
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15823318', '15823105', '13916943', '14914894', '13818953']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4198175272409745
- 35 USC 102 Novelty (BERT): 0.4949908131407858
- Combined Prediction Score: 0.4273348558309556
- Mean Citation Score: 199.25734
- Max Citation Score: 214.3533
- Similarity Product: 150.42786685300467

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

Dataset: test