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Transport capacity dispatching method, transport capacity dispatching system, and server

A dispatching method and dispatching system technology, applied in the field of intelligence, can solve problems such as imbalance, low driver efficiency, and inability to dispatch in advance.

Active Publication Date: 2018-05-08
BEIJING DIDI INFINITY TECH & DEV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Under the background of existing technology, many taxi-hailing scenarios will have a situation where the supply is less than demand, such as morning and evening peak hours, business off-duty, extreme weather, etc. At this time, users will encounter difficulties in getting a taxi, and many supply-demand imbalances are due to Due to the unbalanced distribution of demand and capacity, a lot of capacity is idle in the cold area, while the capacity in the hot area is obviously insufficient, and the overall driver efficiency is very low
The scheduling of the existing technology can only be carried out within a limited distance when an imbalance has occurred (such as morning and evening peaks). On the one hand, it cannot be scheduled in advance, giving drivers sufficient preparation time. prone to new imbalances

Method used

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  • Transport capacity dispatching method, transport capacity dispatching system, and server
  • Transport capacity dispatching method, transport capacity dispatching system, and server
  • Transport capacity dispatching method, transport capacity dispatching system, and server

Examples

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Effect test

Embodiment 1

[0071] Such as figure 1 As shown, a schematic flow chart of a capacity scheduling method according to an embodiment of the present invention includes:

[0072] Step S102, determining the capacity supply and demand density of at least one geographical area within a preset time;

[0073] Step S104, determining a first set of regions whose capacity supply and demand density satisfies a first preset condition and a second set of regions whose capacity supply and demand density meets a second preset condition in all geographic regions;

[0074] Step S106, sending at least one piece of scheduling information corresponding to the second area set to the idle capacity in the first area set.

[0075] In this embodiment, the capacity supply and demand density of at least one geographical area within a preset time is determined through step S102, so as to realize the judgment of the supply and demand situation of at least one geographical area, and provide a basis for the screening of co...

Embodiment 2

[0080] Such as figure 2 As shown, a schematic flow chart of a capacity scheduling method according to yet another embodiment of the present invention includes: step S202, determining the capacity supply and demand density of at least one geographical area within a preset time; step S204, determining capacity supply and demand in all geographical areas A first set of regions whose density satisfies the first preset condition and a second set of regions whose capacity supply and demand density satisfies the second preset condition; step S206, according to all the first geographic regions in the first set of regions, determine the The area corresponds to the first distance value of the second geographic area in the second region set; step S208, according to the order of the first distance value from small to large, sort the second geographic area corresponding to each first geographic area ; Step S210, determine the second geographic area of ​​the first preset number in the sort...

Embodiment 3

[0089] Such as image 3 As shown, a schematic flow chart of a capacity scheduling method according to yet another embodiment of the present invention includes: step S302, determining the capacity supply and demand density of at least one geographical area within a preset time; step S304, determining capacity supply and demand in all geographical areas A first set of regions whose density satisfies the first preset condition and a second set of regions whose capacity supply and demand density satisfies the second preset condition; step S306, according to the second geographic region in the second region set, determine each second geographic region The second distance values ​​corresponding to all the first geographic regions in the first region set; step S308, sorting the first geographic regions corresponding to each second geographic region according to the order of the second distance values ​​from small to large ; Step S310, determine the first geographical area of ​​the se...

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PUM

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Abstract

The invention provides a transport capacity dispatching method, a transport capacity dispatching system and a server. The transport capacity dispatching method comprises: a transport capacity supply-demand density of at least one geographical area within preset time is determined; a first area set with the transport capacity supply-demand density meeting a first preset condition and a second areaset with the transport capacity supply-demand density meeting a second preset condition are determined in all geographical areas; and at least one piece of dispatching information corresponding to thesecond area set is sent to the idle transport capacity in the first area set. Therefore, when no sufficient transport capacity is provided, the idle transport capacity in a cold area is dispatched toa hot area, so that the tension state of the transport capacity of the hot area is alleviated, wasting of the transport capacity of the cold area as well as the possibility of unbalance of the transport capacity due to local dispatching is reduced, and thus the efficiency of transport capacity dispatching of the online car-hailing is improved.

Description

technical field [0001] The present invention relates to the field of intelligent technologies, and in particular, relates to a capacity scheduling method, a capacity scheduling system, a computer device, a computer-readable storage medium, and a server. Background technique [0002] Under the background of existing technology, many taxi-hailing scenarios will have a situation where supply is less than demand, such as morning and evening peak hours, business off-duty, extreme weather, etc. At this time, users will encounter difficulties in getting a taxi, and many supply-demand imbalances are due to Due to the unbalanced distribution of demand and capacity, a lot of transport capacity is idle in the cold area, while the capacity in the hot area is obviously insufficient, and the overall driver efficiency is very low. The scheduling of the existing technology can only be carried out within a limited distance when an imbalance has occurred (such as morning and evening peaks). O...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/00
CPCG08G1/00G08G1/202G06Q10/06315G06Q50/40
Inventor 李璐张妮萍施晨怡
Owner BEIJING DIDI INFINITY TECH & DEV