CN109493591A - A kind of vehicle dispatching method, device, server and storage medium - Google Patents

A kind of vehicle dispatching method, device, server and storage medium Download PDF

Info

Publication number
CN109493591A
CN109493591A CN201811648543.9A CN201811648543A CN109493591A CN 109493591 A CN109493591 A CN 109493591A CN 201811648543 A CN201811648543 A CN 201811648543A CN 109493591 A CN109493591 A CN 109493591A
Authority
CN
China
Prior art keywords
vehicle
closeness
routing information
scheduling
targeted
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201811648543.9A
Other languages
Chinese (zh)
Other versions
CN109493591B (en
Inventor
程劲松
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Long Shang Technology (shanghai) Co Ltd
Original Assignee
Long Shang Technology (shanghai) Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Long Shang Technology (shanghai) Co Ltd filed Critical Long Shang Technology (shanghai) Co Ltd
Priority to CN201811648543.9A priority Critical patent/CN109493591B/en
Publication of CN109493591A publication Critical patent/CN109493591A/en
Application granted granted Critical
Publication of CN109493591B publication Critical patent/CN109493591B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/20Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
    • G08G1/202Dispatching vehicles on the basis of a location, e.g. taxi dispatching

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention discloses a kind of vehicle dispatching method, device, server and storage mediums.This method comprises: obtaining the routing information of two or more vehicles in dispatcher-controlled territory, described two or more than two vehicles include target vehicle and non-targeted vehicle, and the routing information includes travel route, travel speed and vehicles identifications;The vehicle closeness on the travel route of the target vehicle is determined according to the routing information;If the vehicle closeness is greater than closeness threshold value, at least one of regulation goal vehicle and non-targeted vehicle, make to be less than or equal to the closeness threshold value according to the vehicle closeness that the routing information after scheduling determines.Through the above technical solutions, may be implemented to fully consider that the travel route of target vehicle is targetedly dispatched, the operating efficiency of target vehicle is improved.

Description

A kind of vehicle dispatching method, device, server and storage medium
Technical field
The present embodiments relate to field of intelligent transportation technology more particularly to a kind of vehicle dispatching method, device, servers And storage medium.
Background technique
With the fast development of urban transportation, the quantity of automobile gradually increases, and has been fully immersed into people's lives, becomes out Row, indispensable walking-replacing tool of going to work, meanwhile, more and more special vehicles also assist in Process of Urbanization Construction, such as sprinkle water The highways such as vehicle, sweeper working truck and fire fighting truck, ambulance etc..At the same time, some inconvenience are also brought, especially With the increase of the city vehicle volume of traffic, the phenomenon that traffic congestion, is got worse, and the work of special vehicle is caused seriously It influences, work opportunity may be delayed, bring security risk, while also affecting the line efficiency out of other vehicles.
Existing vehicle dispatching method is unable to fully consider that the operation particularity of different vehicle is targetedly dispatched, nothing Method effectively guides other vehicles to avoid, and affects the operating efficiency of special vehicle.
Summary of the invention
The present invention provides a kind of vehicle dispatching method, device, server and storage mediums, fully consider target to realize The travel route of vehicle is targetedly dispatched, and the operating efficiency of target vehicle is improved.
In a first aspect, the embodiment of the invention provides a kind of vehicle dispatching methods, comprising:
Obtain the routing information of two or more vehicles in dispatcher-controlled territory, described two or more than two vehicles Including target vehicle and non-targeted vehicle, the routing information includes travel route, travel speed and vehicles identifications;
The vehicle closeness on the travel route of the target vehicle is determined according to the routing information;
If the vehicle closeness be greater than closeness threshold value, at least regulation goal vehicle and non-targeted vehicle wherein it One, make to be less than or equal to the closeness threshold value according to the vehicle closeness that the routing information after scheduling determines.
Further, the routing information for obtaining two or more vehicles in dispatcher-controlled territory, comprising:
Pass through the routing informations of two or more vehicles in car-mounted terminal collection scheduling region and is sent to information Equipment is acquired, the information collecting device scattering device is in dispatcher-controlled territory;
The routing information for two or more vehicles that the information collecting device receives is uploaded to scheduling clothes Business center.
Further, the vehicle on the travel route that the target vehicle is determined according to the routing information is intensive Degree, comprising:
The position that described two or more than two vehicles reach after preset time is predicted according to the routing information;
The vehicle that the non-targeted vehicle in the first preset range around target position is calculated according to the position of prediction is intensive Degree, the target position are the position that the target vehicle of prediction reaches after preset time.
Further, if the vehicle closeness is greater than closeness threshold value, at least regulation goal vehicle and non- One of target vehicle makes to be less than or equal to the closeness threshold according to the vehicle closeness that the routing information after scheduling determines Value, comprising:
If the vehicle closeness of the non-targeted vehicle in first preset range is greater than closeness threshold value, by first Non-targeted vehicle in preset range is ranked up according to descending at a distance from the target position;
Into ranking results, forward non-targeted vehicle sends the first scheduling information, makes true according to the routing information after scheduling Fixed vehicle closeness is less than or equal to the closeness threshold value, and first scheduling information includes in dispatcher-controlled territory except target vehicle Travel route other than route.
Further, it after the non-targeted vehicle forward into ranking results described sends the first scheduling information, also wraps It includes:
The feedback information of non-targeted vehicle forward in the ranking results is received, the feedback information includes described in refusal First scheduling information;
According to the quantity for the feedback information for refusing first scheduling information, forward respective counts in Xiang Suoshu ranking results The non-targeted vehicle of amount sends the second scheduling information, is less than or equal to the vehicle closeness determined according to the routing information after scheduling The closeness threshold value, second scheduling information include the route in dispatcher-controlled territory in addition to the travel route of target vehicle.
Further, the vehicle on the travel route that the target vehicle is determined according to the routing information is intensive Degree, comprising:
It is calculated according to the routing information non-targeted in the second preset range around the target vehicle current location The current vehicle closeness of vehicle.
Further, if the vehicle closeness is greater than closeness threshold value, at least regulation goal vehicle and non- One of target vehicle makes to be less than or equal to the closeness threshold according to the vehicle closeness that the routing information after scheduling determines Value, comprising:
If the current vehicle closeness is greater than closeness threshold value, the target vehicle into dispatcher-controlled territory sends third Scheduling information makes to be less than or equal to the closeness threshold value according to the vehicle closeness that the routing information after scheduling determines, described the Three scheduling informations include the route in dispatcher-controlled territory in addition to the target vehicle present running route.
Second aspect, the embodiment of the invention provides a kind of vehicle scheduling devices, comprising:
Routing information obtains module, for obtaining the routing information of two or more vehicles in dispatcher-controlled territory, institute Stating two or more vehicles includes target vehicle and non-targeted vehicle, and the routing information includes travel route, traveling Speed and vehicles identifications;
Vehicle closeness determining module, on the travel route for determining the target vehicle according to the routing information Vehicle closeness;
Scheduler module, if being greater than closeness threshold value, at least regulation goal vehicle and non-for the vehicle closeness One of target vehicle makes to be less than or equal to the closeness threshold according to the vehicle closeness that the routing information after scheduling determines Value.
The third aspect, the embodiment of the invention provides a kind of servers, comprising:
One or more processors;
Memory, for storing one or more programs;
When one or more of programs are executed by one or more of processors, so that one or more of processing Device realizes vehicle dispatching method as described in relation to the first aspect.
Fourth aspect, the embodiment of the invention also provides a kind of computer readable storage mediums, are stored thereon with computer Program realizes vehicle dispatching method as described in relation to the first aspect when the program is executed by processor.
The embodiment of the invention provides a kind of vehicle dispatching method, device, server and storage mediums.This method comprises: The routing information of two or more vehicles in dispatcher-controlled territory is obtained, described two or more than two vehicles include target Vehicle and non-targeted vehicle, the routing information include travel route, travel speed and vehicles identifications;According to the routing information Determine the vehicle closeness on the travel route of the target vehicle;If the vehicle closeness is greater than closeness threshold value, At least one of regulation goal vehicle and non-targeted vehicle keep the vehicle closeness determined according to the routing information after scheduling small In equal to the closeness threshold value.Through the above technical solutions, may be implemented to fully consider that the travel route of target vehicle carries out It targetedly dispatches, improves the operating efficiency of target vehicle.
Detailed description of the invention
Fig. 1 is a kind of flow chart for vehicle dispatching method that the embodiment of the present invention one provides;
Fig. 2 is the schematic diagram that the vehicle dispatching method that the embodiment of the present invention one provides is realized;
Fig. 3 a is a kind of flow chart of vehicle dispatching method provided by Embodiment 2 of the present invention;
Fig. 3 b is the schematic diagram of prediction vehicle closeness provided by Embodiment 2 of the present invention;
Fig. 3 c is the schematic diagram of the vehicle closeness after scheduling provided by Embodiment 2 of the present invention;
Fig. 4 a is a kind of flow chart for vehicle dispatching method that the embodiment of the present invention three provides;
Fig. 4 b is the schematic diagram being scheduled to target vehicle that the embodiment of the present invention three provides;
Fig. 5 is a kind of structural schematic diagram for vehicle scheduling device that the embodiment of the present invention four provides;
Fig. 6 is a kind of hardware structural diagram for server that the embodiment of the present invention five provides.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched The specific embodiment stated is used only for explaining the present invention rather than limiting the invention.It also should be noted that in order to just Only the parts related to the present invention are shown in description, attached drawing rather than entire infrastructure.
Embodiment one
Fig. 1 is a kind of flow chart for vehicle dispatching method that the embodiment of the present invention one provides, and the present embodiment is applicable to excellent First guarantee that the traveling of target vehicle is unimpeded and the case where carry out vehicle scheduling.Specifically, the vehicle dispatching method can be by vehicle Dispatching device executes, which can be realized by way of software and/or hardware, and integrates in the server. Further, server includes but is not limited to: industrial integrating server, system background server and cloud server.
Fig. 2 is the schematic diagram that the vehicle dispatching method that the embodiment of the present invention one provides is realized.As shown in Fig. 2, the present embodiment Vehicle dispatching method can using vehicle dispatch system realize.The vehicle dispatch system includes: car-mounted terminal, information collection mould Block and dispatch service center.Car-mounted terminal refers to the headend equipment of vehicle monitoring management system, can also be called vehicle tune It spends monitor terminal (TCU terminal), is mounted in each vehicle, be integrated with positioning, wireless communication, traveling record, security alarm etc. Multiple function the routing information of each vehicle and can be sent to information by wireless network in collection scheduling region by car-mounted terminal Equipment being acquired, the vehicle in dispatcher-controlled territory is divided into target vehicle and non-targeted vehicle, wherein target vehicle refers to special vehicle, When carrying out vehicle scheduling using the travel route of target vehicle as core, the preferential running efficiency for guaranteeing target vehicle.
The equipment that information collecting device refers to the routing information for collecting each vehicle, can with car-mounted terminal and server into Row communication, each crossing or setting of the dispersed distribution in dispatcher-controlled territory are each responsible for acquisition different zones model in section The routing information of vehicle in enclosing, and the routing information of each vehicle is uploaded to dispatch service center, such as some highway bayonets Equipment or radio communication base station can receive the routing information for each vehicle that car-mounted terminal is sent, the driving status of each vehicle of monitoring, And the information being collected into is uploaded to by dispatch service center by wireless network.
Dispatch service center, that is, vehicle scheduling server, the routing information uploaded by analysis information collecting device, It will preferentially guarantee the scheduling scheme (letter including prompting non-targeted vehicle evacuation target vehicle of target vehicle running efficiency Information etc. of breath, prompt target vehicle change travel route) be handed down to be arranged in it is each on a certain range of crossing or section Scheduling information is sent to each car-mounted terminal for needing to dispatch by information collecting device, information collecting device again.
Further, (such as vehicle fleet size, each by the vehicle-related information of its statistics available location of information collecting device Travel route, travel speed, current location and the real-time jam situation of road of vehicle etc.), relevant information is uploaded to tune Spend service centre, dispatch service center by analyzing these statistical informations, can each vehicle into dispatcher-controlled territory send scheduling letter Breath, such as the non-targeted vehicle for notifying non-targeted vehicle to avoid target vehicle, conflict to the present running route with target vehicle Recommend other travel routes, the traffic information on present running route can also be provided to target vehicle, seeing target vehicle can be with Flexible selection or change driving path, to guarantee that target vehicle is quickly unimpededly travelled to destination.
With reference to Fig. 1, this method specifically comprises the following steps:
S110, the routing information for obtaining two or more vehicles in dispatcher-controlled territory, it is described two or more than two Vehicle include target vehicle and non-targeted vehicle, the routing information includes travel route, travel speed and vehicles identifications.
Specifically, the routing information of vehicle can be obtained by the car-mounted terminal of each vehicle in dispatcher-controlled territory, and it is sent to letter Breath acquisition equipment, then dispatch service center is uploaded to by information collecting device.There are multiple vehicles, including target carriage in dispatcher-controlled territory And non-targeted vehicle, target vehicle refer to ambulance, cruiser, sprinkling truck etc. have special operation task special vehicle, Often planning in advance or the inconvenient change of its travel route, while its operating efficiency has higher requirement, to avoid influencing operation effect Rate delays the activity duration, needs to provide smooth running environment for it.Routing information includes travel route, travel speed and vehicle Mark, wherein travel route can for vehicle it is preset, such as vehicle according to digital map navigation set route running, Or prediction obtains, such as according to the current location of vehicle and destination and current driving direction, prediction may Travel route, while routing information also includes current location of the vehicle on travel route;Travel speed is according to vehicle row Location information during sailing is calculated, such as is surveyed by car-mounted terminal, GRS positioning system etc. to the vehicle in traveling Speed;Vehicles identifications can be target carriage for distinguishing each vehicle, such as the MAC Address etc. that license plate number, car-mounted terminal network Addition mark, to distinguish target vehicle and non-targeted vehicle.Obtain each target vehicle and non-targeted simultaneously in the process The routing information of vehicle.
S120, vehicle closeness on the travel route of the target vehicle is determined according to the routing information.
Specifically, can determine that the vehicle closeness on target vehicle travel route, vehicle closeness refer to according to routing information A certain range of current vehicle closeness is (around such as target vehicle current location in 1km around the current location of target vehicle Vehicle number) or the target position that will reach of target vehicle around a certain range of vehicle closeness (such as each vehicle exists After being travelled 3 minutes on respective travel route, vehicle number around the position that target vehicle reaches in 1km).If current The vehicle closeness that vehicle closeness or prediction obtain is greater than preset closeness threshold value, then will appear congestion phenomenon.It needs Bright, vehicle closeness can be the number of non-targeted vehicle in 1km around current location or the target position of prediction, can also Think the total number of target vehicle and non-targeted vehicle within the scope of this, the present embodiment is illustratively set as of non-targeted vehicle Number.
If S130, the vehicle closeness are greater than closeness threshold value, at least regulation goal vehicle and non-targeted vehicle One of them, makes to be less than or equal to the closeness threshold value according to the vehicle closeness that the routing information after scheduling determines.
Specifically, if the vehicle closeness that current vehicle closeness or prediction obtain is greater than closeness threshold value, to mesh Mark at least one of vehicle or non-targeted vehicle are scheduled.For example, closeness threshold value is 20, mesh is determined according to routing information The current vehicle closeness for marking vehicle periphery is 15, i.e. non-targeted vehicle fleet size around target vehicle current location in 1km is 15, it is less than closeness threshold value, then target vehicle is currently in non-congested link, without changing travel route;If according to path Information determines that the current vehicle closeness around target vehicle is 25, then the current location of target vehicle is in congested link, At this time since non-targeted vehicle fleet size is more, compares concentration, scheduling is relatively complicated, and change traveling can be sent to target vehicle The prompt information of route, and recommend reasonable route using path planning algorithm, congested link is sailed out of with guiding target vehicle.Again Such as, the vehicle closeness around target position that will be reached according to routing information prediction target vehicle is 25, then target vehicle If after being travelled 3 minutes according to current travel route, congested link can be entered, operating efficiency is influenced, at this point, preferentially guaranteeing mesh It is unimpeded to mark vehicle driving, i.e. the non-targeted vehicle of priority scheduling, the prompt letter of change travel route is sent to the non-targeted vehicle in part Breath, at the same can also passage path planning algorithm to it recommend other travel routes so that the non-targeted vehicle change traveling road in part After line, the vehicle closeness on target vehicle travel route is reduced to closeness threshold value hereinafter, providing smooth running environment.
The embodiment of the present invention one provide a kind of vehicle dispatching method, by obtain dispatcher-controlled territory in two or more Vehicle routing information;The vehicle closeness on the travel route of the target vehicle is determined according to the routing information;Such as Vehicle closeness described in fruit is greater than closeness threshold value, then at least one of regulation goal vehicle and non-targeted vehicle, makes basis The vehicle closeness that routing information after scheduling determines is less than or equal to the closeness threshold value, realizes and fully considers target vehicle Travel route targetedly dispatched, improve the operating efficiency of target vehicle.
Embodiment two
Fig. 3 a is a kind of flow chart of vehicle dispatching method provided by Embodiment 2 of the present invention, and the present embodiment is in above-mentioned reality On the basis of applying example, specifically optimized.Prediction.It should be noted that the not technical detail of detailed description in the present embodiment It can be found in above-mentioned any embodiment.
Specifically, with reference to Fig. 3 a, this method specifically comprises the following steps:
S210, pass through the routing informations of two or more vehicles in car-mounted terminal collection scheduling region and be sent to Information collecting device, the information collecting device scattering device is in dispatcher-controlled territory.
Specifically, by car-mounted terminal the routing information of each vehicle and wireless network transmission can be passed through in collection scheduling region To information collecting device, each crossing or setting of the information collecting device dispersed distribution in dispatcher-controlled territory are divided in section The routing information of the vehicle within the scope of different zones Fu Ze not be acquired, and is uploaded to dispatch service center.
S220, the routing information for two or more vehicles that the information collecting device receives is uploaded to tune Spend service centre.
S230, the position that described two or more than two vehicles reach after preset time is predicted according to the routing information It sets.
Specifically, the position that each vehicle reaches after preset time is predicted according to routing information, for example, existing according to each vehicle Its position reached after 3 minutes can be predicted in travel route, current location and the travel speed set in digital map navigation;In vehicle Travel route be not that can directly predict vehicle in current driving direction (such as northwards travelling) in the case where presetting The position of arrival after 3 minutes can also carry out pre- according to the history travel route of vehicle with reference to most common travel route It surveys.
S240, according to the position of prediction calculate target position around the first preset range in non-targeted vehicle vehicle Closeness, the target position are the position that the target vehicle of prediction reaches after preset time.
Specifically, predict the position that target vehicle and non-targeted vehicle reach after preset time respectively, and by target carriage Reach position as target position, calculate the non-targeted vehicle in the first preset range (such as 1km) around the target position Quantity, the vehicle closeness as prediction.By future position and the vehicle closeness of target position, can adjust in advance Vehicle is spent, the generation of congestion phenomenon is effectively avoided.
Fig. 3 b is the schematic diagram of prediction vehicle closeness provided by Embodiment 2 of the present invention.Illustratively, lower section in Fig. 3 Vehicle is target vehicle, and target vehicle reaches target position after travelling 3 minutes to front, first around target position The quantity of non-targeted vehicle (as shown in the circle dispersed) in preset range (as shown in border circular areas) is 25, that is, the vehicle predicted Closeness is 25.
If the vehicle closeness of S250, non-targeted vehicle in first preset range is greater than closeness threshold value, Non-targeted vehicle in first preset range is ranked up according to descending at a distance from the target position.
Specifically, if the vehicle closeness of the non-targeted vehicle in the first preset range of prediction is greater than closeness threshold Value then sends scheduling information to the non-targeted vehicle in part to guide non-targeted vehicle to be avoided in advance.Illustratively, 3 are predicted Vehicle closeness around the target position that target vehicle reaches after minute within the scope of 1km is 25, is greater than closeness threshold value 20, then It needs to dispatch the non-targeted vehicle of at least five to change its travel route, it is avoided to enter within the scope of the 1km of target position, to avoid mesh Mark vehicle.At least five is chosen in 25 non-targeted vehicles of the first preset range to be scheduled, it is non-targeted first, in accordance with 25 The distance of vehicle-to-target position is descending to be ranked up, which vehicle is in 25 vehicles in clear first preset range The edge of the first preset range, distance objective position relatively far away from (as represented by the circle with hatching designation in Fig. 3 b Vehicle), these vehicles are just to have entered the first preset range or will sail out of the first preset range, in change travel route The probability intersect in the process with target position, to conflict is lower, and is conducive to avoid target vehicle in advance, gets around target position.
S260, the non-targeted vehicle forward into ranking results send the first scheduling information, make according to the path after scheduling The vehicle closeness that information determines is less than or equal to the closeness threshold value, and first scheduling information includes in dispatcher-controlled territory except mesh Mark the route other than the travel route of vehicle.
Specifically, i.e. distance objective position farther away a certain number of non-targeted vehicles forward into ranking results are sent out The first scheduling information is sent, to reduce the vehicle closeness in the first preset range of target position.Send the first scheduling information The quantity of non-targeted vehicle is at least more than the corresponding quantity of closeness threshold value, such as in the above-described example at least to 5 non-mesh It marks vehicle and sends the first scheduling information.First scheduling information is the road in dispatcher-controlled territory in addition to the travel route of target vehicle Line recommends the route that can avoid target vehicle to these non-targeted vehicles.
Fig. 3 c is the schematic diagram of the vehicle closeness after scheduling provided by Embodiment 2 of the present invention.As shown in Figure 3c, band yin Vehicle represented by the circle of shadow mark can drive into the first preset range after preset time originally, and it is default to be located at first The edge of range, away from target position relatively far away from, but by prediction and scheduling after, it can be achieved that these vehicles of pre-tip change Travel route, then after preset time, these vehicles will not be driven into the first preset range, but reach the first preset range Other positions in addition, to reduce the vehicle closeness on target vehicle travel route.
S270, the feedback information for receiving non-targeted vehicle forward in the ranking results, the feedback information include refusing Exhausted first scheduling information.
Specifically, non-targeted vehicle may be selected to accept or reject the first scheduling of execution after sending the first scheduling information Information, and fed back by car-mounted terminal and information collecting device to dispatch service center.Wherein, refuse the first scheduling information Non-targeted vehicle will not avoid, may cause scheduling after vehicle closeness be still greater than closeness threshold value.For example, the mesh of prediction The vehicle closeness of 1km is 25 around cursor position, and closeness threshold value is 20, then sends the first scheduling letter to 5 non-targeted vehicles Breath, wherein there is 2 vehicles to refuse the first scheduling information, 3 vehicles receive scheduling, then the vehicle closeness after dispatching is 22, still Greater than closeness threshold value, needs to continue other vehicles into ranking results at this time and send scheduling information.
Optionally, the first scheduling letter is sent to the non-targeted vehicle of 2 times of quantity of the vehicle fleet size for being more than closeness threshold value Breath.For example, the vehicle closeness of 1km is 25 around the target position of prediction, closeness threshold value is 20, then non-to 5*2=10 Target vehicle sends the first scheduling information, to prompt more non-targeted vehicles to avoid target vehicle, reduces two times scheduling, improves Dispatching efficiency.Wherein, multiple can be set according to actual needs, and the present embodiment is illustratively set as 2 times.
S280, according to the quantity for the feedback information for refusing first scheduling information, it is forward in Xiang Suoshu ranking results The non-targeted vehicle of respective numbers sends the second scheduling information, keeps the vehicle closeness determined according to the routing information after scheduling small In being equal to the closeness threshold value, second scheduling information includes that dispatcher-controlled territory is interior in addition to the travel route of target vehicle Route.
Specifically, the non-targeted vehicle of the first scheduling information of refusal will not avoid, the vehicle after may cause scheduling is intensive Degree is still greater than closeness threshold value, then other vehicles continued into ranking results send scheduling information.Illustratively, non-to 10 Target vehicle sends the first scheduling information, wherein there is 7 non-targeted vehicles to refuse the first scheduling information, then the vehicle after dispatching is close Intensity is 22, is greater than closeness threshold value, then continues into ranking results in addition to preceding 10 non-targeted vehicles, in order successively Lower 7 non-targeted vehicles are selected to send the second scheduling information, so that the vehicle closeness after scheduling is less than or equal to closeness threshold value. For another example: the first scheduling information is sent to 10 non-targeted vehicles, wherein thering are 3 non-targeted vehicles to refuse the first scheduling information, then Vehicle closeness after scheduling is 18, is less than closeness threshold value, then without retransmiting the second scheduling information.The rest may be inferred, according to The feedback information of second scheduling information can further in ranking results in order successively behind reselection respective numbers non-mesh Mark vehicle is scheduled, and the vehicle closeness after scheduling is less than closeness threshold value.
Optionally, the preset threshold that the number of scheduling information is sent to non-targeted vehicle is set, for example, setting preset threshold It is 3, if after to non-targeted vehicle scheduling 3 times, still having non-targeted vehicle refusal scheduling information, leading to the vehicle closeness of prediction still Greater than closeness threshold value, then scheduling information no longer is sent to non-targeted vehicle, and be switched to and target vehicle is scheduled, prompted Target vehicle changes route.
A kind of vehicle dispatching method provided by Embodiment 2 of the present invention, optimizes on the basis of the above embodiments, leads to The vehicle closeness around the target position and target position that prediction target vehicle arrives after the preset lime is crossed, realizes and mentions It is preceding that non-targeted vehicle is scheduled to avoid target vehicle;By according to being ranked up at a distance from target position and in order Non-targeted vehicle is successively dispatched, farther out, easily sails out of or the later vehicle into preset range is dispatched in time, can save conducive to adjusting the distance It saves traffic control amount, avoid intersecting or conflicting with target vehicle generation when non-targeted vehicle scheduling, improve dispatching efficiency.
Embodiment three
Fig. 4 a is a kind of flow chart for vehicle dispatching method that the embodiment of the present invention three provides, and the present embodiment is in above-mentioned reality On the basis of applying example, specifically optimized, according to the current vehicle closeness around target vehicle, target vehicle is adjusted Degree.It should be noted that the technical detail of detailed description not can be found in above-mentioned any embodiment in the present embodiment.
Specifically, with reference to Fig. 4 a, this method specifically comprises the following steps:
S310, pass through the routing informations of two or more vehicles in car-mounted terminal collection scheduling region and be sent to Information collecting device, the information collecting device scattering device is in dispatcher-controlled territory.
S320, the routing information for two or more vehicles that the information collecting device receives is uploaded to tune Spend service centre.
S330, calculated according to the routing information it is non-in the second preset range around the target vehicle current location The current vehicle closeness of target vehicle.
Specifically, the current location of each vehicle is contained in the travel route of routing information, with the present bit of target vehicle Centered on setting, the current vehicle closeness of the non-targeted vehicle in surrounding second preset range (such as 1.5km) is calculated.Its In, the second preset range is set according to actual needs with the first preset range, can be the same or different.
Target vehicle hair if S340, the current vehicle closeness are greater than closeness threshold value, into dispatcher-controlled territory Third scheduling information is sent, makes to be less than or equal to the closeness threshold value according to the vehicle closeness that the routing information after scheduling determines, The third scheduling information includes the route in dispatcher-controlled territory in addition to the target vehicle present running route.
Specifically, i.e. target vehicle is currently in congested link if current vehicle closeness is greater than closeness threshold value, Third scheduling information then is sent to target vehicle, target vehicle is prompted to change travel route, sails out of congested link, close into vehicle Intensity is less than or equal to the section of closeness threshold value.For example, current vehicle closeness is 25, closeness threshold value is 20, then to target Vehicle is scheduled, and is prompted it to change travel route according to path planning algorithm, is made the target vehicle target position predicted after scheduling The vehicle closeness for setting surrounding is less than or equal to closeness threshold value.
Fig. 4 b is the schematic diagram being scheduled to target vehicle that the embodiment of the present invention three provides.As shown in Figure 4 b, mesh Mark current vehicle position around the second preset range in current vehicle closeness be 25, be greater than closeness threshold value 20, then to Target vehicle sends third scheduling information, prompts target vehicle to change travel route, and to the vehicle on the travel route after change Closeness is predicted, guarantees that target vehicle enters the section that vehicle closeness is less than or equal to closeness threshold value.
Further, (such as the operation particularity due to target vehicle when the travel route of target vehicle can not be changed Must be when preset travel route travels or target vehicle refuses third scheduling information), switch to intensive by prediction vehicle Degree is scheduled non-targeted vehicle.
A kind of vehicle dispatching method that the embodiment of the present invention three provides, optimizes on the basis of the above embodiments, leads to The current vehicle closeness calculated around target vehicle current location is crossed, sails out of congested link in time conducive to target vehicle, thus Keep target vehicle traveling unimpeded, improves operating efficiency.
Example IV
Fig. 5 is a kind of structure chart for vehicle scheduling device that the embodiment of the present invention four provides.Vehicle provided in this embodiment Dispatching device includes:
Routing information obtains module 410, for obtaining the routing information of two or more vehicles in dispatcher-controlled territory, Described two or more than two vehicles include target vehicle and non-targeted vehicle, and the routing information includes travel route, row Sail speed and vehicles identifications;
Vehicle closeness determining module 420, for determining the travel route of the target vehicle according to the routing information On vehicle closeness;
Scheduler module 430, if for the vehicle closeness be greater than closeness threshold value, at least regulation goal vehicle and One of non-targeted vehicle makes to be less than or equal to the closeness threshold according to the vehicle closeness that the routing information after scheduling determines Value.
A kind of vehicle scheduling device that the embodiment of the present invention three provides, passage path data obtaining module obtain dispatcher-controlled territory The routing information of interior two or more vehicles;Institute is determined according to the routing information by vehicle closeness determining module State the vehicle closeness on the travel route of target vehicle;If the vehicle closeness is greater than closeness threshold value, pass through tune Module at least one of regulation goal vehicle and non-targeted vehicle are spent, keeps the vehicle determined according to the routing information after scheduling close Intensity is less than or equal to the closeness threshold value.Through the above technical solutions, may be implemented to fully consider the traveling road of target vehicle Line is targetedly dispatched, and the operating efficiency of target vehicle is improved.
On the basis of the above embodiments, the routing information obtains module 410, comprising:
Routing information acquisition unit, for passing through two or more vehicles in car-mounted terminal collection scheduling region Routing information is simultaneously sent to information collecting device, and the information collecting device scattering device is in dispatcher-controlled territory;
Routing information uploading unit, two or more vehicles for receiving the information collecting device Routing information is uploaded to dispatch service center.
Further, the vehicle closeness determining module 420 includes:
Predicting unit, for predicting described two or more than two vehicles after preset time according to the routing information The position of arrival;
First vehicle closeness determination unit, for calculating the first default model around target position according to the position of prediction The vehicle closeness of non-targeted vehicle in enclosing, the target position are the position that the target vehicle of prediction reaches after preset time It sets.
Further, the scheduler module 430 includes:
Sequencing unit, if the vehicle closeness for the non-targeted vehicle in first preset range is greater than closeness Non-targeted vehicle in first preset range is then ranked up by threshold value according to descending at a distance from the target position;
First scheduling unit sends the first scheduling information for the non-targeted vehicle forward into ranking results, makes basis The vehicle closeness that routing information after scheduling determines is less than or equal to the closeness threshold value, and first scheduling information includes adjusting Spend the route in region in addition to the travel route of target vehicle.
Further, the scheduler module 430 further include:
Feedback information receiving unit, for receiving the feedback information of non-targeted vehicle forward in the ranking results, institute Stating feedback information includes refusing first scheduling information;
Second scheduling unit, for the quantity according to the feedback information for refusing first scheduling information, to the sequence As a result the non-targeted vehicle of forward respective numbers sends the second scheduling information in, makes according to the routing information determination after scheduling Vehicle closeness is less than or equal to the closeness threshold value, and second scheduling information includes that the row of target vehicle is removed in dispatcher-controlled territory Sail the route other than route.
Further, the vehicle closeness determining module 420, further includes:
Second vehicle closeness determination unit, for calculating the target vehicle current location week according to the routing information The current vehicle closeness of the non-targeted vehicle in the second preset range enclosed.
Further, the scheduler module 430 further include:
Third scheduling unit, if being greater than closeness threshold value for the current vehicle closeness, into dispatcher-controlled territory Target vehicle send third scheduling information, make to be less than or equal to according to the vehicle closeness that the routing information after scheduling determines described Closeness threshold value, the third scheduling information include the road in dispatcher-controlled territory in addition to the target vehicle present running route Line.
The vehicle scheduling device that the embodiment of the present invention four provides can be used for executing the vehicle that above-mentioned any embodiment provides Dispatching method has corresponding function and beneficial effect.
Embodiment five
Fig. 6 is a kind of hardware structural diagram for server that the embodiment of the present invention five provides.As shown in fig. 6, this implementation A kind of server that example provides, comprising: processor 510 and storage device 520.Processor in the server can be one or Multiple, in Fig. 6 by taking a processor 510 as an example, processor 510 and storage device 520 in the server can be by total Line or other modes connect, in Fig. 6 for being connected by bus.
One or more of programs are executed by one or more of processors 510, so that one or more of places Reason device realizes any vehicle dispatching method in above-described embodiment.
Storage device 520 in the server is used as a kind of computer readable storage medium, can be used for storing one or more A program, described program can be software program, computer executable program and module, such as vehicle tune in the embodiment of the present invention Corresponding program instruction/the module of degree method is (for example, the module in attached vehicle scheduling device shown in fig. 5, comprising: routing information Obtain module 410, vehicle closeness determining module 420 and scheduler module 430).Processor 510 is stored in storage by operation Software program, instruction and module in device 520, thereby executing the various function application and data processing of server, i.e., Realize the vehicle dispatching method in above method embodiment.
Storage device 520 mainly includes storing program area and storage data area, wherein storing program area can store operation system Application program needed for system, at least one function;Storage data area, which can be stored, uses created data etc. according to server (routing information, closeness threshold value in such as above-described embodiment).In addition, storage device 520 may include high random access Memory, can also include nonvolatile memory, a for example, at least disk memory, flush memory device or other it is non-easily The property lost solid-state memory.In some instances, storage device 520 can further comprise remotely located relative to processor 510 Memory, these remote memories can pass through network connection to server.The example of above-mentioned network is including but not limited to mutual Networking, intranet, local area network, mobile radio communication and combinations thereof.
Also, when one or more program included in above-mentioned server is by one or more of processors 510 When execution, program is proceeded as follows:
Obtain the routing information of two or more vehicles in dispatcher-controlled territory, described two or more than two vehicles Including target vehicle and non-targeted vehicle, the routing information includes travel route, travel speed and vehicles identifications;According to described Routing information determines the vehicle closeness on the travel route of the target vehicle;If the vehicle closeness is greater than closeness Threshold value, then at least one of regulation goal vehicle and non-targeted vehicle, make the vehicle determined according to the routing information after scheduling Closeness is less than or equal to the closeness threshold value.
The vehicle dispatching method that the server and above-described embodiment that the present embodiment proposes propose belongs to same inventive concept, not The technical detail of detailed description can be found in above-mentioned any embodiment in the present embodiment, and the present embodiment has and executes vehicle The identical beneficial effect of dispatching method.
On the basis of the above embodiments, the present embodiment also provides a kind of computer readable storage medium, is stored thereon with Computer program realizes the vehicle scheduling side in the above-mentioned any embodiment of the present invention when program is executed by vehicle scheduling device Method, this method comprises:
Obtain the routing information of two or more vehicles in dispatcher-controlled territory, described two or more than two vehicles Including target vehicle and non-targeted vehicle, the routing information includes travel route, travel speed and vehicles identifications;According to described Routing information determines the vehicle closeness on the travel route of the target vehicle;If the vehicle closeness is greater than closeness Threshold value, then at least one of regulation goal vehicle and non-targeted vehicle, make the vehicle determined according to the routing information after scheduling Closeness is less than or equal to the closeness threshold value.
Certainly, a kind of storage medium comprising computer executable instructions, computer provided by the embodiment of the present invention The vehicle dispatching method operation that executable instruction is not limited to the described above, can also be performed provided by any embodiment of the invention Relevant operation in vehicle dispatching method, and have corresponding function and beneficial effect.
By the description above with respect to embodiment, it is apparent to those skilled in the art that, the present invention It can be realized by software and required common hardware, naturally it is also possible to which by hardware realization, but in many cases, the former is more Good embodiment.Based on this understanding, technical solution of the present invention substantially in other words contributes to the prior art Part can be embodied in the form of software products, which can store in computer readable storage medium In, floppy disk, read-only memory (Read-Only Memory, ROM), random access memory (Random such as computer Access Memory, RAM), flash memory (FLASH), hard disk or CD etc., including some instructions are with so that a computer is set Standby (can be personal computer, server or the network equipment etc.) executes vehicle scheduling described in each embodiment of the present invention Method.
Note that the above is only a better embodiment of the present invention and the applied technical principle.It will be appreciated by those skilled in the art that The invention is not limited to the specific embodiments described herein, be able to carry out for a person skilled in the art it is various it is apparent variation, It readjusts and substitutes without departing from protection scope of the present invention.Therefore, although being carried out by above embodiments to the present invention It is described in further detail, but the present invention is not limited to the above embodiments only, without departing from the inventive concept, also It may include more other equivalent embodiments, and the scope of the invention is determined by the scope of the appended claims.

Claims (10)

1. a kind of vehicle dispatching method characterized by comprising
The routing information of two or more vehicles in dispatcher-controlled territory is obtained, described two or more than two vehicles include Target vehicle and non-targeted vehicle, the routing information include travel route, travel speed and vehicles identifications;
The vehicle closeness on the travel route of the target vehicle is determined according to the routing information;
If the vehicle closeness is greater than closeness threshold value, at least one of regulation goal vehicle and non-targeted vehicle, Make to be less than or equal to the closeness threshold value according to the vehicle closeness that the routing information after scheduling determines.
2. the method according to claim 1, wherein two or more vehicles in the acquisition dispatcher-controlled territory Routing information, comprising:
Pass through the routing informations of two or more vehicles in car-mounted terminal collection scheduling region and is sent to information collection Equipment, the information collecting device scattering device is in dispatcher-controlled territory;
The routing information for two or more vehicles that the information collecting device receives is uploaded in dispatch service The heart.
3. the method according to claim 1, wherein described determine the target vehicle according to the routing information Travel route on vehicle closeness, comprising:
The position that described two or more than two vehicles reach after preset time is predicted according to the routing information;
The vehicle closeness of the non-targeted vehicle in the first preset range around target position, institute are calculated according to the position of prediction State the position that the target vehicle that target position is prediction reaches after preset time.
4. if according to the method described in claim 3, it is characterized in that, the vehicle closeness is greater than closeness threshold Value, then at least one of regulation goal vehicle and non-targeted vehicle, keep the vehicle determined according to the routing information after scheduling close Intensity is less than or equal to the closeness threshold value, comprising:
If the vehicle closeness of the non-targeted vehicle in first preset range is greater than closeness threshold value, first is preset Non-targeted vehicle in range is ranked up according to descending at a distance from the target position;
Into ranking results, forward non-targeted vehicle sends the first scheduling information, makes according to the routing information determination after scheduling Vehicle closeness is less than or equal to the closeness threshold value, and first scheduling information includes that the row of target vehicle is removed in dispatcher-controlled territory Sail the route other than route.
5. according to the method described in claim 4, it is characterized in that, in the non-targeted vehicle hair forward into ranking results After sending the first scheduling information, further includes:
The feedback information of non-targeted vehicle forward in the ranking results is received, the feedback information includes refusal described first Scheduling information;
According to the quantity for the feedback information for refusing first scheduling information, forward respective numbers in Xiang Suoshu ranking results Non-targeted vehicle sends the second scheduling information, makes to be less than or equal to according to the vehicle closeness that the routing information after scheduling determines described Closeness threshold value, second scheduling information include the route in dispatcher-controlled territory in addition to the travel route of target vehicle.
6. the method according to claim 1, wherein described determine the target vehicle according to the routing information Travel route on vehicle closeness, comprising:
The non-targeted vehicle in the second preset range around the target vehicle current location is calculated according to the routing information Current vehicle closeness.
7. if according to the method described in claim 6, it is characterized in that, the vehicle closeness is greater than closeness threshold Value, then at least one of regulation goal vehicle and non-targeted vehicle, keep the vehicle determined according to the routing information after scheduling close Intensity is less than or equal to the closeness threshold value, comprising:
If the current vehicle closeness is greater than closeness threshold value, the target vehicle into dispatcher-controlled territory sends third scheduling Information makes to be less than or equal to the closeness threshold value, the third tune according to the vehicle closeness that the routing information after scheduling determines Degree information includes the route in dispatcher-controlled territory in addition to the target vehicle present running route.
8. a kind of vehicle scheduling device characterized by comprising
Routing information obtains module, for obtaining the routing information of two or more vehicles in dispatcher-controlled territory, described two A or more than two vehicles include target vehicle and non-targeted vehicle, and the routing information includes travel route, travel speed And vehicles identifications;
Vehicle closeness determining module, the vehicle on travel route for determining the target vehicle according to the routing information Closeness;
Scheduler module, if being greater than closeness threshold value, at least regulation goal vehicle and non-targeted for the vehicle closeness One of vehicle makes to be less than or equal to the closeness threshold value according to the vehicle closeness that the routing information after scheduling determines.
9. a kind of server characterized by comprising
One or more processors;
Memory, for storing one or more programs;
When one or more of programs are executed by one or more of processors, so that one or more of processors are real The now vehicle dispatching method as described in any in claim 1-7.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor The vehicle dispatching method as described in any in claim 1-7 is realized when execution.
CN201811648543.9A 2018-12-30 2018-12-30 Vehicle scheduling method, device, server and storage medium Active CN109493591B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811648543.9A CN109493591B (en) 2018-12-30 2018-12-30 Vehicle scheduling method, device, server and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811648543.9A CN109493591B (en) 2018-12-30 2018-12-30 Vehicle scheduling method, device, server and storage medium

Publications (2)

Publication Number Publication Date
CN109493591A true CN109493591A (en) 2019-03-19
CN109493591B CN109493591B (en) 2021-10-15

Family

ID=65712133

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811648543.9A Active CN109493591B (en) 2018-12-30 2018-12-30 Vehicle scheduling method, device, server and storage medium

Country Status (1)

Country Link
CN (1) CN109493591B (en)

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110570040A (en) * 2019-09-09 2019-12-13 天津京东深拓机器人科技有限公司 Vehicle scheduling method and device, computer storage medium and electronic equipment
CN110879862A (en) * 2019-11-15 2020-03-13 成都耍流量网络科技有限公司 Vehicle information query system based on Internet of things
CN111064936A (en) * 2019-12-31 2020-04-24 维沃移动通信有限公司 Road condition information display method and AR equipment
CN111854774A (en) * 2019-04-24 2020-10-30 北京京东尚科信息技术有限公司 Method and apparatus for transmitting information
CN112362076A (en) * 2020-11-13 2021-02-12 深圳瑞娅互娱科技有限公司 Intelligent display method and related device for navigation information of non-recommended road section
CN112863168A (en) * 2019-11-28 2021-05-28 宇龙计算机通信科技(深圳)有限公司 Traffic grooming method and device, electronic equipment and medium
CN113065044A (en) * 2021-04-26 2021-07-02 广州通达汽车电气股份有限公司 Driving state checking method, device, equipment and storage medium
WO2021212602A1 (en) * 2020-04-24 2021-10-28 捷开通讯(深圳)有限公司 Vehicle driving control method, storage medium and terminal
CN113870548A (en) * 2020-06-30 2021-12-31 奥迪股份公司 Traffic management apparatus, corresponding method, server, computer device, and medium

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH07306994A (en) * 1994-05-10 1995-11-21 Nec Corp Method and system for guiding emergency vehicle
CN105788322A (en) * 2016-04-29 2016-07-20 宇龙计算机通信科技(深圳)有限公司 Special vehicle passing method based on vehicle networking and system thereof
CN106960564A (en) * 2017-03-13 2017-07-18 武汉烽火众智数字技术有限责任公司 A kind of vehicle dispatching method, device and related system
CN107195189A (en) * 2016-03-14 2017-09-22 阿里巴巴集团控股有限公司 A kind of method and apparatus for moving equipment early warning
CN107782326A (en) * 2016-08-31 2018-03-09 百度在线网络技术(北京)有限公司 Method, apparatus and equipment for automobile navigation
US20180075759A1 (en) * 2016-09-15 2018-03-15 International Business Machines Corporation Method for guiding an emergency vehicle using an unmanned aerial vehicle
CN108062863A (en) * 2017-11-06 2018-05-22 华为技术有限公司 The planing method and unit of a kind of express lane
US20180309592A1 (en) * 2014-05-01 2018-10-25 Elizabeth B. Stolfus Providing dynamic routing alternatives based on determined traffic conditions
CN109017781A (en) * 2018-08-17 2018-12-18 李俊宏 Vehicle auxiliary or automatic Pilot method and system based on path resource

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH07306994A (en) * 1994-05-10 1995-11-21 Nec Corp Method and system for guiding emergency vehicle
US20180309592A1 (en) * 2014-05-01 2018-10-25 Elizabeth B. Stolfus Providing dynamic routing alternatives based on determined traffic conditions
CN107195189A (en) * 2016-03-14 2017-09-22 阿里巴巴集团控股有限公司 A kind of method and apparatus for moving equipment early warning
CN105788322A (en) * 2016-04-29 2016-07-20 宇龙计算机通信科技(深圳)有限公司 Special vehicle passing method based on vehicle networking and system thereof
CN107782326A (en) * 2016-08-31 2018-03-09 百度在线网络技术(北京)有限公司 Method, apparatus and equipment for automobile navigation
US20180075759A1 (en) * 2016-09-15 2018-03-15 International Business Machines Corporation Method for guiding an emergency vehicle using an unmanned aerial vehicle
CN106960564A (en) * 2017-03-13 2017-07-18 武汉烽火众智数字技术有限责任公司 A kind of vehicle dispatching method, device and related system
CN108062863A (en) * 2017-11-06 2018-05-22 华为技术有限公司 The planing method and unit of a kind of express lane
CN109017781A (en) * 2018-08-17 2018-12-18 李俊宏 Vehicle auxiliary or automatic Pilot method and system based on path resource

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111854774A (en) * 2019-04-24 2020-10-30 北京京东尚科信息技术有限公司 Method and apparatus for transmitting information
CN110570040A (en) * 2019-09-09 2019-12-13 天津京东深拓机器人科技有限公司 Vehicle scheduling method and device, computer storage medium and electronic equipment
CN110879862A (en) * 2019-11-15 2020-03-13 成都耍流量网络科技有限公司 Vehicle information query system based on Internet of things
CN110879862B (en) * 2019-11-15 2023-08-29 成都耍流量网络科技有限公司 Vehicle Information Query System Based on Internet of Things
CN112863168A (en) * 2019-11-28 2021-05-28 宇龙计算机通信科技(深圳)有限公司 Traffic grooming method and device, electronic equipment and medium
CN111064936A (en) * 2019-12-31 2020-04-24 维沃移动通信有限公司 Road condition information display method and AR equipment
WO2021212602A1 (en) * 2020-04-24 2021-10-28 捷开通讯(深圳)有限公司 Vehicle driving control method, storage medium and terminal
CN113870548A (en) * 2020-06-30 2021-12-31 奥迪股份公司 Traffic management apparatus, corresponding method, server, computer device, and medium
CN112362076A (en) * 2020-11-13 2021-02-12 深圳瑞娅互娱科技有限公司 Intelligent display method and related device for navigation information of non-recommended road section
CN113065044A (en) * 2021-04-26 2021-07-02 广州通达汽车电气股份有限公司 Driving state checking method, device, equipment and storage medium
CN113065044B (en) * 2021-04-26 2023-12-05 广州通达汽车电气股份有限公司 Driving state checking method, device, equipment and storage medium

Also Published As

Publication number Publication date
CN109493591B (en) 2021-10-15

Similar Documents

Publication Publication Date Title
CN109493591A (en) A kind of vehicle dispatching method, device, server and storage medium
Guériau et al. Samod: Shared autonomous mobility-on-demand using decentralized reinforcement learning
CN110533901B (en) Charging scheduling method for unmanned vehicle group and cloud management server
JP4722956B2 (en) Network resource reservation method based on terminal moving speed, network resource reservation device, network resource reservation system, and mobile terminal used therefor
CN110264720A (en) Driving mode reminding method, device, equipment and storage medium
CN112419706B (en) Real-time single processing method and server
CN111341136A (en) Passenger-riding parking method, system and storage medium based on vehicle-road cooperation
CN110381468B (en) Configuration method and system of vehicle network and vehicle
US20200296617A1 (en) Radio resource adjustment method and related device
US20190101404A1 (en) Information processing method and electronic device
CN103188598A (en) Intelligent group call answer taxi appointment method, intelligent group call answer taxi appointment system and taxi appointment platform
CN107170271B (en) Regional management scheduling method and system for Internet of vehicles
CN109612488B (en) Big data micro-service-based mixed travel mode path planning system and method
CN111507494B (en) Order processing method and system, and computer readable storage medium
CN111553501A (en) Order allocation method and device
CN111461485A (en) Task allocation method, device, equipment and computer readable storage medium
CN106997674A (en) A kind of special duty's circuit traffic control method and device
CN112388624B (en) Robot control method and apparatus, storage medium, and electronic apparatus
CN110246355A (en) Vehicle scheduling control method, device, computer equipment and storage medium
Aliedani et al. Cooperative car parking using vehicle-to-vehicle communication: An agent-based analysis
JP2019219845A (en) Vehicle management system and vehicle management method
CN110136438A (en) Road switching method, device, equipment and storage medium based on artificial intelligence
CN114137973B (en) Path planning method, device, equipment and storage medium
TW202107406A (en) Processing route information
CN116204315A (en) Track-based dynamic task unloading method for vehicle resource pool in Internet of vehicles

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant