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 1):
A control method for hybrid running of trains with different marshalling lengths, comprising:\n determining whether other vehicle exists in front of a train in a running direction of the train based on a preset screening area, before the train runs into a communication based train control CBTC area; determining a marshalling length of the train based on the screening area in a case where no vehicle exists in front of the train in the running direction of the train; and determining whether other vehicle exists in the rear of the train in the running direction of the train based on the marshalling length of the train and the screening area, and providing movement authorization for the train in a case where no vehicle exists in the rear of the train in the running direction of the train.

Metadata:
- Claim Count in Document: 10.0
- Percentile: 91.0
- Lexical Diversity: 2.6
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15823318', '15823105', '13916943', '14914894', '13818953']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3923466029376485
- 35 USC 102 Novelty (BERT): 0.4876331091930126
- Combined Prediction Score: 0.4018752535631849
- Mean Citation Score: 199.25734
- Max Citation Score: 214.3533
- Similarity Product: 159.292488872087

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