TRANSIT ROUTE PLANNING FOR MEGACITIES BASED ON DEMAND DENSITY OF COMPLEX NETWORKS

The aim of this work is to investigate the simplification of public transport networks (PTNs) for megacities and the optimisation of route planning based on the demand density of complex networks. A node deletion rule for network centre areas and a node merging rule for network border areas in the PTN are designed using the demand density of complex networks. A transit route planning (TRP) model is established, which considers the demands of direct passengers, transfer passengers at the same stop and transfer passengers at different stops, and aims at maximising the transit demand density of a PTN. An optimisation process for TRP is developed based on the ant colony optimisation (ACO). The proposed method City in China. The results indicate that urban PTNs can hanced effectively.