Intelligent decision-making method for taxi drivers in passenger transport center

Abstract

The invention relates to an intelligent decision-making method for taxi drivers in a passenger transport center, and the method comprises the following steps: analyzing passenger distribution characteristics, and determining passenger departure duration distribution parameters; predicting outbound passenger flow volume; knowing the change of the taxi selection proportion of the passenger along with time; determining the influence of other factors on the change of the taxi selection proportion along with time by using an entropy method; predicting economic cost; and selecting a proper passengercarrying strategy. The method is based on the least square thought; the proportion data of taxies selected by passengers at different moments is fit in an airport to obtain a function relational expression by taking time as an independent variable and taking a taxi selection proportion as a dependent variable, other factors possibly influencing taxi selection of passengers are considered, an entropy method can be adopted to obtain an index used for describing the influence factor, then the function relational expression is corrected, economic cost prediction is carried out by analyzing waiting time-consuming cost and no-load cost, and finally a driver makes a decision whether to wait for a passenger source in an airport in combination with the economic cost prediction.

Description

Technical field [0001] The present invention relates to a decision-making method, specifically, a decision-making method for airport taxi drivers to wait in line or return to the city. Background technique [0002] Passengers want to go to their destination after getting off the plane, and taxis are one of the main means of transportation. Most airports in China separate the drop-off and pick-up channels. Taxi drivers who drop off passengers to the airport generally face two choices: go to the arrival area and wait in line to carry passengers back to the city. However, taxis must be designated at the airport according to the principle of first-come-first-served. There is a time cost to wait in the “car storage pool” of the city; or the driver can choose to go back to the city to solicit customers, but at a corresponding economic price. [0003] In general, the driver’s decision-making in this situation is related to experience, but this is often unreliable. At present, only the ma...

AI Technical Summary

Problems solved by technology

Most airports in China separate the channels for drop-off and pick-up. Taxi drivers who drop off passengers at the airport generally face two choices: go to the arrival area and wait in line to carry passengers back to the city, but taxis must be designated at the airport on a first-come, first-served basis. There is a time cost for waiting in line for the "car storage pool" in the city; or the driver can choose to empty it directly and return to the urban area to solicit passengers, but he has to pay a corresponding economic price

[0003] Generally, the driver's decision-making in this situation is related to experience, but this is often unreliable. At present, there is only a macro-dispatching method for taxis at the airport, and there is no personal decision-making method for taxi drivers. In practice, there are still many factors that affect taxis. Certainty and uncertainty in driver decision-making, with varying effects

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