Abstract
The car cloud plan means that the traveller in the cloud plan does not need to buy an automatic driving vehicle, only need to join the cloud plan, send the travel instruction to the cloud scheduler through the mobile device in hand, and then the cloud scheduler provides the travel service. With the development of actual travel, more and more problems are moving towards the direction of dynamic travel. In this paper, a hybrid solver based on ant colony optimization system search architecture is designed. In the ant colony algorithm, a new algorithm is constructed by combining local search heuristic algorithm with path problem. This paper combines the cloud planning platform with automatic driving vehicle scheduling to quickly collect customer orders and have rapid large-scale processing capabilities, using the order information sent by the traveller to the cloud, through an ant colony searcher to achieve rapid processing of orders.
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