Method for automatically adjusting serial order sending limitation according to whole-course supply and demand

Abstract

The invention discloses a method for automatically adjusting serial order sending limitation according to whole-course supply and demand. The method comprises the following steps: receiving a passenger order; assigning orders according to the passenger order information and the order model, and allocating orders to drivers; judging whether the supply-demand ratio is greater than a configuration set value; and judging whether the driver data analysis index meets the condition that pEda + rEda + x is less than r, and delivering the driver. Through a serial order sending strategy, a driver receives a next order when a previous order is not completed, so that the driver directly goes to a get-on place of a passenger of a second order after the first order is completed, and the empty driving time between the two orders is effectively reduced; by optimizing driver selection logic in serial order dispatching, the order dispatching radius is dynamically changed, the supply-demand ratio is adapted, and the condition that the transport capacity of drivers is tight in special weather is relieved.

Description

technical field [0001] The invention belongs to the technical field of online car-hailing, and in particular relates to a method for automatically adjusting chain dispatch limit according to the whole process of supply and demand. Background technique [0002] In the online car-hailing service process, there are two high-frequency abnormal scenarios: First, after the driver completes the last order, he always needs to drive with an empty car for a period of time before picking up the second passenger. Second, when the weather in a certain city is abnormal (such as heavy rain in Beijing), there will be a surge in the number of orders placed by passengers, but the cancellation rate of passengers will decrease after the response, and the wait for the bus will be more patient. [0003] Existing disadvantages: [0004] 1. After the driver completes the order, there is a high probability that there will be no order within 10-30 minutes (25%-40%). The driver will have a long time ...

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Problems solved by technology

Second, when the weather in a certain city is abnormal (such as heavy rain in Beijing), there will be a surge in the number of orders placed by passengers, but the cancellation rate will decrease after the passengers respond, and they will be more patient when waiting for the bus

[0005] 2. In the current serial dispatch strategy, the dispatch radius is fixed, lacks flexibility, and cannot adapt well to the situation of changes in the supply-demand ratio caused by special weather

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