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 9):
The system according to  claim 6 , wherein the determining module comprises:\n a receiving unit configured to receive marshalling length information transmitted by an on-board CBTC device of the train; a collecting unit configured to collect section length information of a screening section matching with a length of the train after the whole train enters into the screening area; and a matching unit configured to determine whether the marshalling length information matches with the section length information, and determine the marshalling length of the train based on the marshalling length information in a case where the marshalling length information matches with the section length information.

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): 0.4191678059307069
- 35 USC 102 Novelty (BERT): 0.4977212470133674
- Combined Prediction Score: 0.427023150038973
- Mean Citation Score: 199.25734
- Max Citation Score: 214.3533
- Similarity Product: 145.6462156963706

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