Method for controlling the circulation of vehicles in a network
US-2019072981-A1 · Mar 7, 2019 · US
US11014589B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11014589-B2 |
| Application number | US-201815981698-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 16, 2018 |
| Priority date | Jun 19, 2017 |
| Publication date | May 25, 2021 |
| Grant date | May 25, 2021 |
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A collision avoidance system obtains movement indicative data of plural vehicles included in separate vehicle systems. The movement indicative data can be obtained from sensors onboard the vehicles. The system determines an identification of which of the vehicles are included in the separate vehicle systems based on the movement indicative data that are obtained and determines a collision risk between two or more vehicle systems of the separate vehicle systems based on the movement indicative data that are obtained and the identification of which of the vehicles are in the separate vehicle systems. The system automatically changes movement of at least one of the two or more vehicle systems responsive to determining the collision risk.
Opening claim text (preview).
What is claimed is: 1. A vehicle collision avoidance system comprising: one or more processors configured to obtain output signals from plural sensors configured to be separately disposed onboard different vehicles of separate vehicle systems, the output signals representing individual movement indicative data that individually represents separate movements of the different vehicles, wherein the one or more processors also are configured to determine an identification of which of the vehicles are included in which of the separate vehicle systems based on the movement indicative data that are obtained, wherein the one or more processors also are configured to identify a collision risk between two or more of the different vehicle systems based on the movement indicative data that are obtained and the identification of which of the vehicles are in which of the separate vehicle systems, wherein the one or more processors also are configured to automatically change the movement of at least one of the vehicle systems responsive to identifying the collision risk; wherein the one or more processors are configured to determine a sequential order of the vehicles in at least one of the separate vehicle systems based on the movement indicative data that are obtained. 2. The vehicle collision avoidance system of claim 1 , wherein the one or more processors are configured to obtain one or more of geographic locations, headings, or moving speeds of the vehicles as the movement indicative data. 3. The vehicle collision avoidance system of claim 1 , wherein the one or more processors are configured to identify the collision risk independent of input from a route monitoring system or a positive vehicle control system. 4. The vehicle collision avoidance system of claim 1 , wherein the one or more processors are configured to determine which of the vehicles are included in each of the separate vehicle systems based also on a route database storing data on locations of routes. 5. The vehicle collision avoidance system of claim 1 , wherein the one or more processors are configured to receive a beacon signal sent by a beacon device at a designated location, wherein the one or more processors are configured to determine the identification of which of the vehicles are included in each of the separate vehicle systems also based on receipt of the beacon signal. 6. The vehicle collision avoidance system of claim 1 , wherein the one or more processors are configured to identify the collision risk responsive to the movement indicative data that are obtained for the vehicles in the separate vehicle systems indicating that the separate vehicle systems are traveling toward a common location. 7. The vehicle collision avoidance system of claim 1 , wherein at least one of the separate vehicle systems includes one or more propulsion-generating vehicles and one or more non-propulsion-generating vehicles, and wherein the one or more processors are configured to obtain at least a portion of the movement indicative data from the sensor onboard the one or more non-propulsion-generating vehicles. 8. The vehicle collision avoidance system of claim 1 , wherein the one or more processors are configured to determine the sequential order of the vehicles based on the movement indicative data that represents movement of the vehicles along a curved segment of a route. 9. A method for avoiding collision between vehicle systems, the method comprising: obtaining movement indicative data from plural sensors separately disposed onboard different vehicles of separate vehicle systems, the movement indicative data individually representing separate movements of the different vehicles; determining an identification of which of the vehicles are included in which of the separate vehicle systems based on the movement indicative data that are obtained; identifying a collision risk between two or more of the different vehicle systems based on the movement indicative data that are obtained and the identification of which of the vehicles are in which of the separate vehicle systems; automatically changing the movement of at least one of the vehicle systems responsive to identifying the collision risk; receiving a beacon signal from a beacon device disposed at a designated location, and wherein the identification of which of the vehicles are included in each of the separate vehicle systems also is based on receipt of the beacon signal. 10. The method of claim 9 , wherein the movement indicative data represents one or more of geographic locations, headings, or moving speeds of the vehicles. 11. The method of claim 9 , wherein at least one of the separate vehicle systems includes one or more propulsion-generating vehicles and one or more non-propulsion-generating vehicles, and wherein a portion of the movement indicative data is obtained from the sensor onboard the one or more non-propulsion-generating vehicles. 12. The method of claim 9 , further comprising: determining a sequential order of the vehicles in at least one of the separate vehicle systems based on the movement indicative data that are obtained. 13. The method of claim 12 , wherein the sequential order of the vehicles is determined based on the movement indicative data that represents movement of the vehicles along a curved segment of a route. 14. A vehicle collision avoidance system comprising: one or more sensors configured to generate signals of detected movement utilized to provide movement indicative data that separately indicates individual movements of different vehicles included in separate vehicle systems; and one or more processors configured to determine an identification of which of the vehicles are included in which of the separate vehicle systems based on the movement indicative data that are obtained, the one or more processors also configured to determine a sequential order of the vehicles in at least one of the separate vehicle systems based on the movement indicative data that are obtained. 15. The vehicle collision avoidance system of claim 14 , wherein the one or more processors are configured to determine the sequential order of the vehicles based on the movement indicative data that represents the movements of the vehicles along a curved segment of a route. 16. The vehicle collision avoidance system of claim 14 , wherein the movement indicative data include two or more of locations, headings, or moving speeds of the vehicles. 17. The vehicle collision avoidance system of claim 14 , wherein the one or more sensors also are configured to receive a beacon signal sent by a beacon device at a designated location, wherein the one or more processors are configured to determine the identification of which of the vehicles are included in the separate vehicle systems also is based on the beacon signal. 18. The vehicle collision avoidance system of claim 14 , wherein the one or more processors also are configured to determine an accuracy of a manifest of at least one of the separate vehicle systems based on the movement indicative data that are obtained.
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