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Vehicle scheduling optimization decision-making system

A vehicle dispatching and decision-making system technology, which is applied in the field of vehicle dispatching optimization decision-making system and logistics dispatching system, can solve problems such as demand mismatch, low transaction efficiency, and inability to determine the driver, and achieve the effect of reducing communication costs and improving vehicle allocation efficiency

Pending Publication Date: 2019-12-06
JIANGSU CAS INTERNET OF THINGS TECH VENTURECAPITAL
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  • Application Information

AI Technical Summary

Problems solved by technology

The main reasons for the low transaction efficiency are as follows: 1. Before the call, it is not known whether the location of the other driver’s vehicle is near the place of delivery; 2. It is impossible to determine whether the driver is willing to take this route; 3. The vehicle model does not match the actual load demand. ;4. Multi-level business levels, unable to determine whether the communication is effective at the first time

Method used

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  • Vehicle scheduling optimization decision-making system

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Embodiment 1

[0025] A vehicle scheduling optimization decision-making system, comprising a database, a demand-side vehicle scheduling optimization basic model building module, a basic model online correction module, a supply-side vehicle scheduling optimization basic model building module, a vehicle scheduling decision-making module, and a vehicle scheduling information push module. Its concrete method comprises the following steps:

[0026] (1) The basic model building module for vehicle scheduling optimization on the demand side obtains cargo information through the database, including cargo attributes, delivery location, destination, load requirements, and special requirements of the consignor, and performs model statistics to generate demand-side data. The basic model of vehicle scheduling optimization. The cargo information is uploaded by the consignor or filled in by the consignor in the system.

[0027] (2) The basic model online correction module obtains relevant real-time and for...

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Abstract

The invention discloses a vehicle scheduling optimization decision-making system which comprises a database, a demand side vehicle scheduling optimization basic model establishing module, a basic model online correction module, a supply side vehicle scheduling optimization basic model establishing module, a vehicle scheduling decision-making module and a vehicle scheduling information pushing module. According to the vehicle scheduling optimization decision-making system, the vehicles which do not meet the transportation requirements are screened out through the database and the data algorithmmodel, the optimal list sequence of the recommended vehicles is provided through comprehensive analysis to be selected by delivery personnel, the vehicle allocation efficiency is greatly improved, and the communication cost is reduced.

Description

technical field [0001] The invention relates to a logistics scheduling system, in particular to a vehicle scheduling optimization decision-making system, which belongs to the field of Internet of Vehicles. Background technique [0002] At present, the dispatching of internal vehicles in the logistics industry is often completed through intermediaries. The process of intermediaries realizing this behavior is to determine business cooperation through a large number of telephone communication behaviors. According to internal industry statistics, an intermediary needs 100-200 calls a day on average to complete a deal1 -2 transactions, which have a great impact on the overall business efficiency. The main reasons for the low transaction efficiency are: 1. Before the call, it is not known whether the location of the other driver’s vehicle is near the place of delivery; 2. It is impossible to determine whether the driver is willing to take this route; 3. The vehicle model does not ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/04G06Q10/08G06N20/00
CPCG06Q10/06315G06Q10/0637G06Q10/04G06Q10/083G06Q10/0833G06N20/00Y02T10/40
Inventor 赵徐晓徐引红
Owner JIANGSU CAS INTERNET OF THINGS TECH VENTURECAPITAL
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