Intelligent scheduling method and system for taxi dynamic carpooling

Abstract

The invention discloses an intelligent dispatching method and system for dynamic ride sharing of a taxi.The method comprises the steps that S1, a dispatching center loads map information, determines a ride sharing expense allocation rule and updates real-time road condition information, real-time taxi position information and passenger carrying state information; S2, the dispatching center receives a ride sharing request sent by a ride sharing request sender through a client terminal; S3, the dispatching center sends the ride sharing request to a ride sharing request receiver based on a ride sharing intention agreement, sends a ride sharing vehicle matching message to the ride sharing request sender, and confirms the ride sharing intention of the two parties, wherein the ride sharing request receiver in the two parties is a passenger already on the taxi providing the ride sharing service; S4, the dispatching center pushes a ride sharing scheme dispatching message to the taxi and ride sharing request sender bound by the ride sharing agreement.By the adoption of the method and system, ride sharing intention agreement speed and success rate can be increased, development of the taxi ride sharing service is promoted, and the problem that it is hard to take a taxi can be solved to a certain degree.

Description

technical field [0001] The invention relates to the field of intelligent transportation. More specifically, it relates to an intelligent dispatching method and system for taxi dynamic carpooling. Background technique [0002] As an important supplement to public transportation, taxis play an important role in urban transportation due to their convenience, comfort and strong service. However, the huge traffic demand pressure during the peak period makes the supply of taxis in short supply, and the problem of "difficulty in getting a taxi" for passengers has become increasingly prominent. The key to solving the above problems is to dispatch taxis scientifically and rationally, and make full use of the transportation resources of taxis. As an effective solution, taxi sharing can alleviate the problems of insufficient supply of taxis, low passenger load rate, large road area per capita, and low utilization rate of taxi resources; moreover, it can reduce the cost of taxi driver...

AI Technical Summary

Problems solved by technology

[0003] However, there are many problems in the implementation process of taxi dynamic carpooling, such as the cost sharing rules between the two parties are not precise enough, and it is difficult to find the ideal carpooler in a short period of time, etc.

On the one hand, the existing carpool fare allocation usually only adopts percentage sharing, that is, both parties to the carpool share the cost of the carpool section in the same proportion. The time and space of the car, so it does not satisfy the principle of fairness to allocate only based on the percentage without considering the route detour

On the other hand, the existing taxi sharing dispatching system usually adopts an indiscriminate push method when pushing car sharing information to both parties. The information is often huge and far from the expectations of passengers, wasting the dispatch center’s services. The information processing capability of the platform increases the time cost of passengers, increases the burden on passengers' carpooling decision-making, and reduces the speed and success rate of carpooling wishes

Existing research has seldom considered the matching degree of carpooling willingness between the sender and the recipient of the carpooling request, and the cost sharing rules between the two parties need to be improved

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