A method for service level management of a transit system is provided. The method may include receiving time series data sets from wireless access points of a wireless network, wherein each time series data set corresponds to a mobile device in the transit system. Spatio-temporal trajectories of each mobile device may be determined based on the time series data sets corresponding to each mobile device. The determined trajectories of a group of individual devices may be clustered. A spatio-temporal trajectory of a vehicle in the transit system may be determined based on the clustered trajectory of the group of devices. A system parameter of the transit system may be adjusted based on the determined trajectory of the vehicle. Passenger transition rates, waiting times, unable-to-board levels, and crowd density levels may be determined with respect to a transit location. A machine learning model may be generated to augment the determinations.
Real-time service level monitor
16.11.2021
Patent
Elektronische Ressource
Englisch
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