Methods and systems for transport capacity scheduling

Patent metadata

Field	Value
Publication number	US-2018032928-A1
Application number	US-201615550169-A
Country	US
Kind code	A1
Filing date	Feb 4, 2016
Priority date	Feb 13, 2015
Publication date	Feb 1, 2018
Grant date	—

Abstract

A method of scheduling services is disclosed. The method may include: acquiring scheduling related information; determining a scheduling strategy according to the scheduling related information; and sending the scheduling strategy to at least one of an order initiator or an order recipient, wherein the scheduling related information includes but is not limited to historical order information, real-time order information, historical weather information, real-time weather information, future weather information, traffic information, historical information of a service provider, real-time information of a service provider, and vehicle information collected by a vehicle-mounted diagnosis system. The scheduling strategy may include, but is not limit to a supply and demand density push strategy, a hotspot characteristic push strategy, a statistical characteristic push strategy, an order push strategy, an order adjustment strategy, or a prompt information push strategy.

First claim

1 .- 27 . (canceled)

28 . A system, comprising:
at least one non-transitory computer-readable storage medium including a set of instructions for scheduling services based on location information; and logic circuits in communication with the at least one storage medium, wherein when executing the set of instructions, the logic circuits are directed to:
receive first electronic signals encoding scheduling related information;
determine a scheduling strategy according to the scheduling related information; and
generate second electronic signals encoding the scheduling strategy.

29 . The system of claim 28 , wherein the scheduling related information comprises at least one of historical order information, real-time order information, historical weather information, real-time weather information, future weather information, traffic information, historical information of a service provider, or real-time information of a service provider, or vehicle information collected by a vehicle-mounted diagnosis system.

30 . The system of claim 28 , wherein to determine the scheduling strategy, the logic circuits are further directed to:
determine an actual scheduling amount according to the scheduling related information; and determine the scheduling strategy according to the actual scheduling amount.

31 . The system of claim 30 , wherein to determine the actual scheduling amount according to the scheduling related information, the logic circuits are further directed to:
determine a region distribution of multiple order recipients; determine a potential scheduling amount of a region based on the region distribution; determine a potential transaction volume of the region based on the potential scheduling amount of the region; determine a maximum sum of increment of potential transaction volume based on the potential transaction volume of the region; and determine the actual scheduling amount of the region based on the maximum sum of increment of potential transaction volume.

32 . The system of claim 30 , wherein to determine the actual scheduling amount according to the scheduling related information, the logic circuits are further directed to:
perform a region division based on geographic information; determine a current demand amount of service providers related to the region division; determine an expected demand amount of the service providers related to the region division; and determine the actual scheduling amount based on the current demand amount and the expected demand amount.

33 . The system of claim 28 , wherein the scheduling strategy comprises at least one of a supply and demand density push strategy, a hotspot characteristic push strategy, a statistical characteristic push strategy, an order push strategy, an order adjustment strategy, or a prompt information push strategy.

34 . The system of claim 33 wherein to determine the supply and demand density push strategy, the logic circuits are further directed to:
receive third electronic signals encoding a number of predictive orders at a specific time and in a specific region;
determine a number of service providers that are likely to receive an order at the specific time and in the specific region; and
determine the supply and demand density of the specific region based on the number of predictive orders and the number of the service providers.

35 . The system of claim 33 , wherein to determine the statistical characteristic push strategy, the logic circuits are further directed to:
extract location information of a service provider according to the scheduling related information; extract information of a plurality of orders that are associated with locations near a location of the service provider based on the location information of the service provider; determine, for each of the plurality of orders, at least one iconic location; classify the plurality of orders into a plurality of groups based on the iconic locations and time information of the orders; and determine statistical characteristics of the orders in each of the plurality of groups.

36 . The system of claim 33 , wherein the logic circuits are further directed to select a group of real-time orders corresponding to an iconic location based on the iconic location.

37 . The system of claim 33 , wherein to determine the order push strategy, the logic circuits are further directed to:
determine a first region associated with a first ratio of order demand to service ability of a service provider, and a second region associated with a second ratio of order demand to service ability of the service provider, wherein the first ratio is less than a first threshold, and wherein the second ratio is greater than a second threshold; for each order in the first region, select at least a first user for presentation of the order; and for each user in the second region, select at least one order to be presented to at least a second user.

38 . A method implemented, comprising:
acquiring, by logic circuits of an electronic device, first electronic signals encoding scheduling related information; determining, by the logic circuits of the electronic device, a scheduling strategy according to the scheduling related information; and sending, by the logic circuits of the electronic device, second electronic signals encoding the scheduling strategy to at least one of an order initiator or an order recipient.

39 . The method of claim 38 , wherein the scheduling related information comprises at least one of historical order information, real-time order information, historical weather information, real-time weather information, future weather information, traffic information, historical information of a service provider, real-time information of a service provider, or vehicle information collected by a vehicle-mounted diagnosis system.

40 . The method of claim 38 , wherein the determining of the scheduling strategy further comprises:
determining an actual scheduling amount according to the scheduling related information; and determining the scheduling strategy according to the actual scheduling amount.

41 . The method of claim 40 , wherein the determining of the actual scheduling amount according to the scheduling related information comprises:
determining a region distribution of one or more order recipients; determining a potential scheduling amount of a region based on the region distribution; determining a potential transaction volume of the region based on the potential scheduling amount of the region; determining a maximum sum of increments of potential transaction volumes based on the potential transaction volume of the region; and determining the actual scheduling amount of the region based on the maximum sum of increments of potential transaction volumes.

42 . The method of claim 40 , wherein the determining of the actual scheduling amount according to the scheduling related information comprises:
performing a region division based on geographic information; determining a current demand amount of service providers related to the region division; determining an expected demand amount of the service providers related to the region division; and determining the actual scheduling amount based on the current demand amount and the expected demand amount.

43 . The method of claim 38 , wherein the scheduling strategy comprises at least one of a supply and demand density push strategy, a hotspot characteristic push strategy, a statistical characteristic push strategy, an order push strategy, an order adjustment strate

Assignees

• Beijing Didi Infinity Technology & Dev Co Ltd
• Beijing Didi Infinity Tech And Development C O Ltd

Inventors

• Li Shengwei
• Wen Yigang
• Zhuo Chengxiang
• Hu Tao
• Meng Yang
• Zhang Lingyu
• Lu Haiyang
• Li You
• Li Yulong

Classifications

• G06Q10/02

  Reservations, e.g. for tickets, services or events · CPC title

• G06Q10/0631 Primary

  Resource planning, allocation, distributing or scheduling for enterprises or organisations · CPC title

• G06Q10/08

  Logistics, e.g. warehousing, loading or distribution; Inventory or stock management · CPC title

• G06Q10/083

  Shipping · CPC title

• G06Q10/06

  Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling · CPC title