US 12,272,241 B2
Artificial intelligence for responsive operation for vehicle fleet management and method thereof
Ruben Lucas Zaragoza, Alcazar de San Juan (ES); Ignacio Fernandez Munoz, Madrid (ES); and Antonio Diaz Ortiz, Madrid (ES)
Assigned to Siemens Rail Automation S.A.U., Tres Cantos (ES)
Filed by Siemens Rail Automation S.A.U., Tres Cantos (ES)
Filed on Sep. 21, 2022, as Appl. No. 17/949,391.
Claims priority of application No. 21382851 (EP), filed on Sep. 21, 2021.
Prior Publication US 2023/0091588 A1, Mar. 23, 2023
Int. Cl. G08G 1/127 (2006.01); G06Q 50/40 (2024.01); G08G 1/00 (2006.01)
CPC G08G 1/127 (2013.01) [G08G 1/20 (2013.01); G06Q 50/40 (2024.01)] 13 Claims
OG exemplary drawing
 
1. A system for dynamically adapting a passenger transport capacity of a transport line to a number of passengers of the transport line, the transport line having at least two stations, each of the stations having at least one platform served by transport vehicles of the transport line, the system comprising:
a main evaluator configured for automatically determining, as a function of time, the number of passengers of the transport line;
a processor configured for receiving or acquiring input data as follows:
the number of passengers as a function of the time;
a nominal timetable for the transport line; and
a nominal passenger transport capacity of each transport vehicle of the transport line that can serve platforms;
said processor running a trained function, and for applying said trained function to said number of passengers as a function of the time, said trained function having been trained by a machine learning algorithm for automatically predicting a future temporal evolution of the number of passengers, said processor being configured for automatically determining, from the future temporal evolution, the nominal timetable, and the nominal passenger transport capacity, a measure for adapting the passenger transport capacity of the transport line to the future temporal evolution, wherein the measure is:
adding a transport vehicle to the transport line if, in the future temporal evolution, the number of passengers exceeds a first predefined threshold for a first given period of time; or
withdrawing a transport vehicle from the transport line if, in the future temporal evolution, the number of passengers is smaller than a second given threshold for a second given period of time; or
otherwise maintaining the passenger transport capacity defined by the nominal timetable; and
the system being further configured for applying the measure to the transport line.