Optimisation of transportation vehicle scheduling based on FG-ABC algorithm in 5G scenarios

This paper studies the vehicle scheduling problem of feeder bus, constructs a mixed integer nonlinear programming model to optimise the departure schedule of electric bus, and uses the improved artificial bee colony algorithm to solve the model. Then, based on the 5G communication system, an urban rail transit vehicle transportation scheduling management system is constructed to achieve transportation bus data collection, task scheduling management, vehicle management, station management, etc. The experimental results obtained by solving the model through parameter calibration show that the total cost of the optimised timetable bi-directional operation route is reduced by an average of about 22.83%, which verifies the good effect of the optimisation model constructed in the study. The experimental results show that the model can handle non-linear objectives and constraints to reflect the non-linear relationships in reality, and has good application effects for the management of transportation bus scheduling.