Abstract: A system for enhancing personnel safety on a railroad track is presented. The system can receive data from sensors and/or a PTC system to determine positions of clients/worker and/or vehicles, and further utilize such data to determine if a vehicle is within a certain proximity of the client/worker location. The system can further generate geofences around clients/vehicles to and determine when such geofences intersect one another. Additionally, the present disclosure can assign severity levels and generate alerts with the assigned severity levels, and such severity levels can indicate how close a vehicle is to a particular location. It is an object of the invention to provide a system for generating alerts to notify personnel when they much retreat to a place of safety.

Abstract: Methods, systems, apparatuses, devices, and computer program products are described. A system may support a machine learning model for legal clause extraction. The machine learning model may receive, as an input, at least a portion of a document and may output an indication of one or more legal clauses included in the document. To train the model, the system may receive a document and an indication of ground truths (e.g., legal clauses) for the document. The system may determine one-to-one mappings between the legal clauses indicated by the ground truths and the legal clauses indicated by the output of the machine learning model. The system may perform a longest common substring analysis on the one-to-one mappings to determine an accuracy of the machine learning model and may iteratively update the model based on the analysis.

Abstract: A system for enhancing personnel safety on a railroad track is presented. The system can receive data from sensors and/or a PTC system to determine positions of clients/worker and/or vehicles, and further utilize such data to determine if a vehicle is within a certain proximity of the client/worker location. The system can further generate geofences around clients/vehicles to and determine when such geofences intersect one another. Additionally, the present disclosure can assign severity levels and generate alerts with the assigned severity levels, and such severity levels can indicate how close a vehicle is to a particular location. It is an object of the invention to provide a system for generating alerts to notify personnel when they much retreat to a place of safety.

Abstract: A system for enhancing personnel safety on a railroad track is presented. The system can receive data from sensors and/or a PTC system to determine positions of clients/worker and/or vehicles, and further utilize such data to determine if a vehicle is within a certain proximity of the client/worker location. The system can further generate geofences around clients/vehicles to and determine when such geofences intersect one another. Additionally, the present disclosure can assign severity levels and generate alerts with the assigned severity levels, and such severity levels can indicate how close a vehicle is to a particular location. It is an object of the invention to provide a system for generating alerts to notify personnel when they much retreat to a place of safety.

Abstract: A system for enhancing personnel safety on a railroad track is presented. The system can receive data from sensors and/or a PTC system to determine positions of clients/worker and/or vehicles, and further utilize such data to determine if a vehicle is within a certain proximity of the client/worker location. The system can further generate geofences around clients/vehicles to and determine when such geofences intersect one another. Additionally, the present disclosure can assign severity levels and generate alerts with the assigned severity levels, and such severity levels can indicate how close a vehicle is to a particular location. It is an object of the invention to provide a system for generating alerts to notify personnel when they much retreat to a place of safety.