Research on Dynamic Taxi Ride-Sharing Price Model

Abstract

With the diversity of people's travelling modes, the traditional taxi industry is facing severe challenges. In order to meet the travel requirements in the intelligent era, it is necessary to improve the market competitiveness of the taxi industry. This paper proposes a sharing pricing model based on the rate balancing between the driver and passenger. The main concept adopts the dynamic request method for the passengers to take the ride-sharing taxi. For the first passenger's request the nearest taxi receives the request, picks up the passenger on time and drives according to the shortest path calculated by Floyd algorithm. When other passengers ask for a drive, the driver will choose the passengers according to the taxi seat capacity to complete the ride-sharing process until all the passengers arrive at the destination. In the calculation of the driver's income and the passenger's costs we consider the driving conditions in different time periods and use the optimal solution of the model to make a sharing price. Finally, the driver's income and the passengers' costs are compared and analyzed under three driving modes which are the common taxi, Didi express and ride-sharing taxi. The results show that the dynamic sharing pricing model designed in this paper is reasonable and very effective in daily life.