Carrying aid decision making system and method for traffic tool

Abstract

The invention discloses a carrying aid decision making system and a carrying aid decision making method for a traffic tool. The system is characterized by comprising a network information service system for receiving a vehicle calling request of a passenger, a vehicle state acquisition and transmission system at a vehicle end, and an operation command generation and transmission system at a network end. According to the method provided by the invention, a vehicle service request transmitted by the passenger is acquired through a mobile wireless network; a background server takes the position information provided by the passenger request as a target point, and finds a suitable no-load vehicle in a servable radius of the target point and distributes the task of picking the passenger; and therefore, the no-load vehicle which is most suitable for reaching the target point can pick the passenger, the waiting time of the passenger is reduced, the probability that the passenger contacts an available taxi is increased, and the idle rate of the taxi is reduced.

Description

technical field [0001] The invention relates to the allocation of vehicles, in particular to a method for assisting decision-making on vehicles. [0002] The invention relates to a satellite positioning system, a wireless network and Internet technology, specifically utilizes a positioning system, a wireless network and a computer network, uses geographical information and state information to assist decision-making methods, and constructs an intelligent vehicle dispatching system. Background technique [0003] In recent years, with the prosperity of my country's urban taxi industry, the management and dispatch of taxis has always been in a state of chaos and disorder. The empty load and unbalanced loading in some areas have brought pressure to urban traffic, generated pollution, wasted manpower, resource. The inability of taxi companies to manage drivers and the safety of taxi drivers make it imperative to establish a practical and efficient taxi dispatching system. [000...

AI Technical Summary

Problems solved by technology

The previous dispatching system relied too much on manual management and could not realize the automatic dispatching of vehicles. Only by querying the location of the vehicle in real time to grasp the vehicle situation, the cost of checking the vehicle directly increased, which was almost unfeasible for thousands of taxis, and manual It takes too much time, the efficiency is low, the situation of empty vehicles cannot be effectively reduced, and the running of empty vehicles greatly increases the operating cost

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