A Mutual Selection Mechanism of Ride-Hailing Based on Hidden Points

Abstract EN

As a new way to travel, ride-hailing has brought great convenience to the public.

However, the demand expression ability of passengers in the existing ride-hailing platforms is weak, and the accuracy of the matching results is low, resulting in a large number of transaction losses and the loss of platform revenue.

In this paper, we propose a kind of mutual selection mechanism of ride-hailing based on hidden points, which is composed of platform benefit calculation algorithm and driver assignment algorithm.

The platform benefit calculation algorithm mainly calculates the benefits obtained by the platform after the order is completed, while the driver allocation algorithm meets the mutual selection needs of passengers and drivers.

Through experiments and theoretical analysis, the mutual selection mechanism proposed in this paper has improved user satisfaction by 5%-21% compared to the traditional methods of order-snatching mechanism and order-sending mechanism, which has significantly improved passenger satisfaction and solved the problem that the existing platform cannot meet the passengers’ individual travel needs and the problem that the passengers’ choice is not fair.

The issue of platform revenue was discussed in the context of improved passenger satisfaction.