The invention discloses an intelligent line selection architecture and method for large-size transportation, and the architecture comprises a front-end request access layer which is used for receiving a
transportation request of a
client, carrying out the intelligent
shunting through an API gateway, and forwarding a real-time
transportation request to a graph structure construction module; the rear-end intelligent analysis layer is used for analyzing the
transportation request of the
client, generating a candidate
route set through a
hybrid reasoning architecture, and screening out an
optimal route by utilizing a
reinforcement learning optimizer; the result return and feedback layer is used for receiving the optimal cache
route, precipitating the transportation data to a historical
database, and dynamically updating and optimizing the weight by using actual transportation feedback; compared with the prior art, the transport request is received through the hierarchical service architecture, intelligent analysis is executed, the optimized
route is returned, meanwhile, data
precipitation, feedback updating and full-process
automation are achieved, the dependence on artificial experience is greatly reduced, the
route planning efficiency is remarkably improved, and the transport request can be quickly responded.