Intelligent traffic management method and system supporting multi-line hybrid scheduling

Abstract

The invention discloses an intelligent traffic management method and a management system supporting multi-line mixed shift scheduling. By defining a shift scheduling parameter set, the parameter set includes a list template and a timetable template, and the list template includes scheduling vehicles Name list, driver list, vehicle and driver rotation frequency, and shift information, the timetable template includes trip timetable, trip interval, total number of trips, trip category, trip line and shift schedule and the specific parameters in the name list template and the timetable template of the parameter set are respectively initially set, and then the list template and the timetable template are multiplexed according to the preset polling rule and polling frequency. Automatic mixed scheduling of lines, so as to realize automatic mixed scheduling of all vehicles and drivers under multiple lines at the same time, the scheduling method is more flexible, the rotation of vehicles and drivers is more orderly and fair, and the scheduling personnel are minimized workload.

Description

technical field [0001] The invention relates to the technical field of urban public traffic management, in particular to an intelligent traffic management method supporting multi-line mixed shift scheduling and a system applying the method. Background technique [0002] In Chengshudian's public transportation management, the management and scheduling process of public transportation vehicles and drivers is a key link in the operation of the public transportation system. Bus scheduling usually protects two meanings: one is static scheduling, that is, the scheduling plan arranged before the vehicle operation; corresponding changes. [0003] At present, the scheduling of urban bus companies mainly relies on manual scheduling, and the dispatchers rely on their personal experience to schedule manually. Due to the great blindness in the static scheduling stage, it is even more difficult to ensure the efficiency of dynamic scheduling. , cannot meet the real-time and effectiveness...

AI Technical Summary

Problems solved by technology

[0003] At present, the scheduling of urban bus companies mainly relies on manual scheduling, and the dispatchers rely on their personal experience to schedule manually. Due to the great blindness in the static scheduling stage, it is even more difficult to ensure the efficiency of dynamic scheduling. , cannot meet the real-time and effectiveness requirements of the scheduling plan, and it is even more difficult to ensure the fair distribution of the scheduling

In particular, in the traditional

Images