Computer system, method and computer program product are provided for supporting an operator to control a traffic system including a traffic infrastructure configured to allow the movement of real word traffic participants. A state prediction module of the computer system determines, based on time-stamped location data of trajectories, time dependent speed profiles, time dependent urn probabilities, and time dependent attraction shares corresponding to time dependent turn probabilities. It further determines a state forecast (FC1) for a given future time point based on the time dependent traffic parameters including the speed profiles, turn probabilities and attraction shares, in conjunction with at least one exiting time-dependent origin-destination matrix and a suitable Sequential Dynamic Traffic Assignment methodology.
Gentile G., Meschini L., Attanasi A. (2020) Computer System and Methods for State Prediction of a Traffic System. U.S. Patent n. 10636294, 28.04.2020 / Gentile, G.; Meschini, L.; Attanasi, A.. - (2020).
Gentile G., Meschini L., Attanasi A. (2020) Computer System and Methods for State Prediction of a Traffic System. U.S. Patent n. 10636294, 28.04.2020
Gentile G.;Meschini L.;Attanasi A.
2020
Abstract
Computer system, method and computer program product are provided for supporting an operator to control a traffic system including a traffic infrastructure configured to allow the movement of real word traffic participants. A state prediction module of the computer system determines, based on time-stamped location data of trajectories, time dependent speed profiles, time dependent urn probabilities, and time dependent attraction shares corresponding to time dependent turn probabilities. It further determines a state forecast (FC1) for a given future time point based on the time dependent traffic parameters including the speed profiles, turn probabilities and attraction shares, in conjunction with at least one exiting time-dependent origin-destination matrix and a suitable Sequential Dynamic Traffic Assignment methodology.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.