CN111191904B - Intelligent vehicle formation method and device, electronic equipment and storage medium - Google Patents
Intelligent vehicle formation method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the invention discloses an intelligent vehicle formation method, an intelligent vehicle formation device, electronic equipment and a storage medium, wherein the intelligent vehicle formation method comprises the following steps: acquiring real-time passenger flow of each station and real-time operation information of each intelligent vehicle, wherein the real-time operation information at least comprises route station information; based on the real-time passenger flow volume and the real-time operation information, a plurality of intelligent vehicles with one or more identical stations are organized into a motorcade. The invention can effectively improve the adaptability of the intelligent vehicle and the transportation capacity of the intelligent short-range micro-rail transportation system.
Description
Technical Field
The invention relates to the technical field of rail transit, in particular to an intelligent vehicle formation method, an intelligent vehicle formation device, electronic equipment and a storage medium.
Background
An intelligent short-distance micro-rail transportation system is used as a small-sized, household, unmanned and short-distance rail transportation mode, and has become an increasingly short-distance passenger choice.
At present, intelligent short-distance micro-rail transportation system vehicles (hereinafter referred to as intelligent vehicles) are usually used for carrying passengers and transporting passengers in a unit of a single vehicle, and the single intelligent vehicle can be used as a choice of passengers such as individuals, families or teams with fewer people. However, the intelligent short-range micro-rail transportation system has poor transportation capability due to smaller vehicle types and less passenger capacity.
Disclosure of Invention
Because of the above problems in the existing methods, the embodiments of the present invention provide an intelligent vehicle formation method, an apparatus, an electronic device, and a storage medium.
In a first aspect, an embodiment of the present invention provides an intelligent vehicle formation method, including:
acquiring real-time passenger flow of each station and real-time operation information of each intelligent vehicle, wherein the real-time operation information at least comprises route station information;
based on the real-time passenger flow volume and the real-time operation information, a plurality of intelligent vehicles with one or more identical stations are organized into a motorcade.
Optionally, the grouping a plurality of intelligent vehicles with one or more identical stations into a fleet based on the real-time passenger flow volume and the real-time operation information includes:
determining that the route station information contains all first intelligent vehicles of the current station based on route station information of each intelligent vehicle;
determining whether the total passenger capacity of all the first intelligent vehicles is greater than or equal to the real-time passenger capacity;
and if the real-time passenger flow volume is greater than or equal to the real-time passenger flow volume, all the first intelligent vehicles are organized into a motorcade.
Optionally, the real-time operation information further includes real-time position information, real-time operation speed and real-time operation state information;
said grouping all of said first intelligent vehicles into a fleet comprises:
detecting whether the current first intelligent vehicle is the first vehicle of all the first intelligent vehicles;
if not, detecting whether the real-time vehicle distance between the current first intelligent vehicle and the previous adjacent intelligent vehicle belongs to a preset formation vehicle distance range;
if the real-time vehicle distance does not belong to the preset formation vehicle distance range, a vehicle distance adjustment instruction is sent to the current first intelligent vehicle, so that the current first intelligent vehicle adjusts the real-time vehicle distance with the previous adjacent intelligent vehicle based on the vehicle distance adjustment instruction;
and if the real-time vehicle distance belongs to the preset formation vehicle distance range, all the first intelligent vehicles are formed into a vehicle team.
Optionally, after the intelligent vehicles with one or more identical stations are grouped into a fleet, the method further includes:
determining whether to de-route the current formation vehicle from the fleet based on route station information of the current formation vehicle in the fleet when the fleet operates to a fork or a stop;
if yes, sending an unpacking instruction to the current formation vehicle so that the current formation vehicle is separated from the vehicle team based on the unpacking instruction;
acquiring real-time running information of all formation vehicles except the current formation vehicle in the vehicle team and real-time passenger flow of the current station;
and based on the real-time running information and the real-time passenger flow volume, forming the formed vehicles with one or more identical stations into a vehicle team in all formed vehicles except the current formed vehicle.
In a second aspect, an embodiment of the present invention further provides an intelligent vehicle formation device, including a data acquisition module and a formation module, where:
the data acquisition module is used for acquiring real-time passenger flow volume of each station and real-time operation information of each intelligent vehicle, wherein the real-time operation information at least comprises route station information;
the formation module is used for forming a plurality of intelligent vehicles with one or more identical stations into a vehicle team based on the real-time passenger flow volume and the real-time operation information.
Optionally, the formation module is configured to:
determining that the route station information contains all first intelligent vehicles of the current station based on route station information of each intelligent vehicle;
determining whether the total passenger capacity of all the first intelligent vehicles is greater than or equal to the real-time passenger capacity;
and if the real-time passenger flow volume is greater than or equal to the real-time passenger flow volume, all the first intelligent vehicles are organized into a motorcade.
Optionally, the real-time operation information further includes real-time position information, real-time operation speed and real-time operation state information;
the formation module is used for: detecting whether the current first intelligent vehicle is the first vehicle of all the first intelligent vehicles;
if not, detecting whether the real-time vehicle distance between the current first intelligent vehicle and the previous adjacent intelligent vehicle belongs to a preset formation vehicle distance range;
if the real-time vehicle distance does not belong to the preset formation vehicle distance range, a vehicle distance adjustment instruction is sent to the current first intelligent vehicle, so that the current first intelligent vehicle adjusts the real-time vehicle distance with the previous adjacent intelligent vehicle based on the vehicle distance adjustment instruction;
and if the real-time vehicle distance belongs to the preset formation vehicle distance range, all the first intelligent vehicles are formed into a vehicle team.
Optionally, the method further comprises a re-module for:
determining whether to de-route the current formation vehicle from the fleet based on route station information of the current formation vehicle in the fleet when the fleet operates to a fork or a stop;
if yes, sending an unpacking instruction to the current formation vehicle so that the current formation vehicle is separated from the vehicle team based on the unpacking instruction;
acquiring real-time running information of all formation vehicles except the current formation vehicle in the vehicle team and real-time passenger flow of the current station;
and based on the real-time running information and the real-time passenger flow volume, forming the formed vehicles with one or more identical stations into a vehicle team in all formed vehicles except the current formed vehicle.
In a third aspect, an embodiment of the present invention further provides an electronic device, including:
at least one processor; and
at least one memory communicatively coupled to the processor, wherein:
the memory stores program instructions executable by the processor, which are called by the processor to perform the method described above.
In a fourth aspect, embodiments of the present invention also propose a non-transitory computer-readable storage medium storing a computer program, which causes the computer to carry out the above-mentioned method.
According to the technical scheme, the intelligent vehicles are organized into a motorcade by combining the real-time passenger flow of each station and the real-time running information of each intelligent vehicle. In this way, the vehicle formation is performed based on the real-time passenger flow volume of each station and the operation information of each intelligent vehicle. The intelligent vehicle quantity (namely passenger capacity) in the motorcade can meet the passenger flow requirements of different stations, so that the adaptability of the intelligent vehicles can be effectively improved, and the transportation capacity of the intelligent short-range micro-rail transportation system can be effectively improved.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings that are necessary for the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention and that other drawings can be obtained from these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of an intelligent vehicle formation method according to an embodiment of the invention;
FIG. 2 is a flow chart of an intelligent vehicle formation method according to an embodiment of the invention;
FIG. 3 is a flow chart of a method for adjusting a real-time vehicle distance according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of an intelligent vehicle queuing apparatus according to an embodiment of the present invention;
fig. 5 is a logic block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The following describes the embodiments of the present invention further with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present invention, and are not intended to limit the scope of the present invention.
Fig. 1 shows a flow chart of an intelligent vehicle formation method according to the present embodiment, including:
s101, acquiring real-time passenger flow volume of each station and real-time running information of each intelligent vehicle.
The real-time running information at least comprises route station information, namely stop station information of each intelligent vehicle, such as a starting station, a route station and a terminal station.
In practice, the central control and detection system may group a plurality of intelligent vehicles into a fleet for operation based on the passenger flow demand at each station and the real-time operation information of each intelligent vehicle. Specifically, first, the real-time passenger flow volume of each station may be obtained, and the real-time operation information of each intelligent vehicle may be obtained, where the real-time operation information may include at least route station information, and the route station information may include at least a start station, a route station, and an end station. It is understood that the start station, the approach station, and the destination station in the aforementioned real-time running information may actually be station identifications of the aforementioned start station, approach station, and destination station, such as station IDs, or the like. The real-time running information can be sent to the trackside signal system by the vehicle-mounted control system and fed back to the central control and detection system by the trackside signal system.
S102, based on the real-time passenger flow volume and the real-time operation information, a plurality of intelligent vehicles with one or more identical stations are organized into a motorcade.
In an implementation, after the real-time passenger flow volume of each station and the real-time operation information of each intelligent vehicle are obtained, the vehicle formation may be performed based on the real-time passenger flow volume and the real-time operation information of each intelligent vehicle. Specifically, it may be determined, according to the real-time running information of each train, which intelligent vehicles have one or more identical stations in the route station information of each train, and the intelligent vehicles having one or more identical stations may be formed into a fleet by combining the real-time passenger flow of each station, i.e., the intelligent vehicles having one or more identical stations are formed into a fleet, so that the intelligent vehicles having one or more identical stations are run in the fleet.
According to the technical scheme, the intelligent vehicles are organized into a motorcade by combining the real-time passenger flow of each station and the real-time running information of each intelligent vehicle. In this way, the vehicle formation is performed based on the real-time passenger flow volume of each station and the operation information of each intelligent vehicle. The intelligent vehicle quantity (namely passenger capacity) in the motorcade can meet the passenger flow requirements of different stations, so that the adaptability of the intelligent vehicles can be effectively improved, and the transportation capacity of the intelligent short-range micro-rail transportation system can be effectively improved.
Further, on the basis of the above method embodiment, the intelligent vehicle may be formed according to the total passenger capacity and the real-time passenger capacity of the intelligent vehicle, and the corresponding processing in step S102 may be as follows: determining that the route station information contains all first intelligent vehicles of the current station based on route station information of each intelligent vehicle; determining whether the total passenger capacity of all the first intelligent vehicles is greater than or equal to the real-time passenger capacity; if the passenger flow is greater than or equal to the real-time passenger flow, all the first intelligent vehicles are organized into a motorcade.
Wherein, the current station refers to any station where an intelligent vehicle is possible to stop.
The first intelligent vehicle refers to an intelligent vehicle of a current station included in the station information.
In practice, the formation may be based on real-time traffic and the total traffic of the intelligent vehicle. Specifically, first, it can be determined based on the above-obtained route station information of each intelligent vehicle. The via station information includes all the first intelligent vehicles of the current station. Then, the magnitude relation between the total passenger capacity of all the first intelligent vehicles and the real-time passenger capacity can be determined to determine whether the total passenger capacity of all the first intelligent vehicles is greater than or equal to the real-time passenger capacity. If the real-time passenger flow is greater than or equal to the real-time passenger flow, all the first intelligent vehicles can be organized into a fleet. It will be appreciated that the above procedure may be performed for each station in turn to meet the traffic demand of each station. Therefore, under the condition that the total passenger capacity meets the real-time passenger capacity of each station, the intelligent short-distance micro-rail transportation system can be formed, and the passenger experience can be improved at the same time.
Further, on the basis of the above method embodiment, the inter-vehicle distance between intelligent vehicles in the same fleet may be controlled within a preset formation distance range, and the corresponding processing may be as follows: detecting whether the current first intelligent vehicle is the first vehicle of all first intelligent vehicles; if not, detecting whether the real-time vehicle distance between the current first intelligent vehicle and the previous adjacent intelligent vehicle belongs to a preset formation vehicle distance range; if the real-time vehicle distance does not belong to the preset formation vehicle distance range, a vehicle distance adjusting instruction is sent to the current first intelligent vehicle, so that the current first intelligent vehicle adjusts the real-time vehicle distance with the previous adjacent intelligent vehicle based on the vehicle distance adjusting instruction; if the real-time vehicle distance belongs to the preset formation vehicle distance range, all the first intelligent vehicles are formed into a vehicle team.
The real-time operation information can also comprise real-time position information, real-time operation speed and real-time operation state information.
The preset formation distance range refers to a preset allowed distance range between any two adjacent intelligent vehicles in the same vehicle team.
In practice, the distance between any two intelligent vehicles in the same fleet (i.e., the first intelligent vehicle) may be controlled to be within a predetermined range of the formation distance. Specifically, first, it may be detected whether the current first intelligent vehicle is the first train in the fleet of current first intelligent vehicles, i.e., whether the current first intelligent vehicle is the first train in all of the first intelligent vehicles described above (i.e., the forefront intelligent vehicle operating in the current fleet). If the current first intelligent vehicle is not the first vehicle of all the first intelligent vehicles, a grouping command can be issued to the current intelligent vehicle, so that the current intelligent vehicle can adjust the real-time distance between the current intelligent vehicle and the previous adjacent intelligent vehicle based on the grouping command, the medium smoke control and detection system can also detect the real-time distance between the current first intelligent vehicle and the previous adjacent intelligent vehicle (for example, the real-time distance can be determined through the real-time position information of the current first intelligent vehicle and the previous adjacent intelligent vehicle), and can judge whether the real-time distance is within the preset formation distance range. If the real-time distance does not belong to the preset formation distance range, a distance adjustment command can be sent to the current first intelligent vehicle, so that the current first intelligent vehicle can adjust the real-time distance between the current first intelligent vehicle and the previous adjacent intelligent vehicle based on the distance adjustment command (for example, the real-time distance can be adjusted according to the real-time running speed of the current first intelligent vehicle and the previous adjacent intelligent vehicle) until the real-time distance belongs to the preset formation distance range. If the real-time distance is within the preset formation distance range, all the first intelligent vehicles can be formed into a single platoon. It will be appreciated that the above procedure may be performed for each first intelligent vehicle in turn such that the real-time distances between any two adjacent first intelligent vehicles in the formed fleet all fall within the preset range of formation distances. Meanwhile, when a plurality of intelligent vehicles are organized into a vehicle team, each intelligent vehicle can be numbered according to the running front-back sequence of each intelligent vehicle, and when determining whether the first intelligent vehicle is the first vehicle, judgment can be performed according to the corresponding number. Therefore, the real-time vehicle distance of any two adjacent intelligent vehicles in the vehicle team is controlled within the preset vehicle distance range, and the situation that the vehicle distance is too large or too small in the formation can be prevented, so that the transportation capacity of the intelligent short-range micro-rail transportation system can be further improved, and the safety of the intelligent short-range micro-rail transportation system can be improved.
Further, on the basis of the above method embodiment, when reaching a fork or a stop, the intelligent vehicle may be unpacked and reprogrammed, and the corresponding processing may be as follows: when the fleet operates to a fork or a stop station, determining whether to de-organize the current formation vehicle from the fleet based on the route station information of the current formation vehicle in the fleet; if yes, sending an unpacking instruction to the current formation vehicle so that the formation vehicle is separated from a vehicle team based on the unpacking instruction; acquiring real-time running information of all formation vehicles except the current formation vehicle in the vehicle team and real-time passenger flow of the current station; and based on the real-time running information and the real-time passenger flow volume, the formation vehicles with one or more identical stations in all the formation vehicles except the current formation vehicle are formed into a vehicle team.
The stop station refers to a station where intelligent vehicles stop in a motorcade.
The current formation vehicle refers to any intelligent vehicle in the vehicle team.
In an implementation, when the fleet operates to a fork or a certain stop, it may be determined whether the current fleet vehicle needs to be de-plaited from the fleet, i.e., the current fleet vehicle is removed from the fleet, based on the approach stop information of the current fleet vehicle. If (i.e., a current formation vehicle needs to be de-encoded from the fleet), a de-encoding command may be sent to the current formation vehicle so that the current formation vehicle may be disengaged from the fleet based on the de-encoding command. Then, the real-time running information of all the formation vehicles except the current formation vehicle in the vehicle team and the real-time passenger flow of the current station can be acquired. And then, based on the real-time running information of all the formation vehicles except the current formation vehicle in the vehicle team and the real-time passenger flow volume of the current station, the formation vehicles with one or more identical stations in all the formation vehicles except the current formation vehicle in the vehicle team can be re-formed into a new vehicle team, so that the vehicle team reprogramming is realized. Therefore, when encountering a fork or a stop, the vehicle is unpacked and reprogrammed, and the transportation capacity of the intelligent short-range micro-track traffic system can be further improved.
The intelligent short-range micro-rail traffic system vehicle realizes unmanned, and the intelligent vehicle can dynamically adjust the real-time running speed of the intelligent vehicle according to the real-time running information of the adjacent intelligent vehicle provided by the central control and detection system so as to realize formation, de-formation and reprogramming of the intelligent vehicle. The transportation capacity calculation method of the intelligent short-range micro-rail transportation system can be as follows:
wherein n is max The maximum number of intelligent vehicles that can pass through the line in one hour is represented by h, which is the inter-intelligent vehicle tracking interval (i.e., the vehicle distance).
If the intelligent vehicle runs in a re-coupling formation mode, the transportation capacity is as follows:
wherein,the maximum intelligent number (row) of vehicles capable of passing through a line in one hour when the vehicles run in a re-combination formation mode (vehicle formation mode), h Braiding machine Intelligent inter-vehicle tracking interval and/or->The intelligent vehicle number is formed by the average formation when the vehicles are operated in a re-combination formation mode.
If the difference of the tracking interval between the intelligent vehicles during independent operation and during the re-combination formation operation is ignored, it is considered that h=h Braiding machine Then, the ratio of the reconnection group operation to the independent operation throughput capability is:
from the above formula, the transportation capability of the intelligent short-distance micro-rail transportation system is several times of the transportation capability of the intelligent short-distance micro-rail transportation system when the intelligent short-distance micro-rail transportation system operates in a re-coupling formation mode, and the transportation capability is greater as the number of formation vehicles is greater.
Therefore, the adoption of the operation of the reconnection marshalling team can greatly improve the transportation capacity of the intelligent short-distance micro-rail transportation system, and is very suitable for small-sized vehicles with less passenger capacity.
Fig. 2 shows a flow chart of an embodiment of the invention for performing a complete vehicle queuing method. Firstly, the central control system to be detected can acquire the real-time passenger flow of each station and the real-time running information of each intelligent vehicle. It may then be determined whether the individual intelligent vehicle is meeting (greater than or equal to) the passenger flow volume, and if so, operating with the individual intelligent vehicle. If a single intelligent vehicle is not satisfied, a determination is made as to whether the total passenger capacity of intelligent vehicles having one or more identical stops (i.e., adjacent intelligent vehicles having one or more identical stops) is greater than or equal to the real-time passenger capacity. If yes, the real-time distance between the rear intelligent vehicle and the front intelligent vehicle is adjusted to meet the preset formation distance range, and the formation is formed. And when the motorcade runs forwards, if the motorcade runs to the fork or the stop, the intelligent vehicles which need to drive into the fork or the stop are unpacked from the motorcade, and whether the current stop is the terminal of all intelligent vehicles in the motorcade can be judged, if so, the operation is stopped, and if not, the intelligent vehicles except for the unpacked intelligent vehicles in the motorcade are reprogrammed.
Fig. 3 is a schematic diagram illustrating a process of adjusting a real-time vehicle distance between a backward intelligent vehicle and a forward intelligent vehicle according to an embodiment of the invention. First, the central control and detection system can issue a grouping command, and the current intelligent vehicle (i.e., the following intelligent vehicle) can acquire real-time running information of the previous adjacent intelligent vehicle (the preceding intelligent vehicle) based on the grouping command. Then, the central control and detection system can detect whether the real-time vehicle distance between the backward intelligent vehicle and the forward intelligent vehicle meets the preset formation vehicle distance range. If so, the formation is successful, and the rear intelligent vehicle and the front intelligent vehicle keep moving to form a train. If not, the intelligent backward vehicle issues a distance adjusting instruction so that the intelligent backward vehicle can adjust the speed of the intelligent backward vehicle until the preset formation distance range is met.
Fig. 4 shows an intelligent vehicle formation device provided in this embodiment, which includes a data acquisition module 401 and a formation module 402, wherein:
the data acquisition module 401 is configured to acquire real-time passenger flow volume of each station and real-time operation information of each intelligent vehicle, where the real-time operation information at least includes route station information;
the formation module 402 is configured to form a plurality of intelligent vehicles with one or more identical stations into a fleet based on the real-time passenger flow volume and the real-time operation information.
Optionally, the enqueuing module 402 is configured to:
determining that the route station information contains all first intelligent vehicles of the current station based on route station information of each intelligent vehicle;
determining whether the total passenger capacity of all the first intelligent vehicles is greater than or equal to the real-time passenger capacity;
and if the real-time passenger flow volume is greater than or equal to the real-time passenger flow volume, all the first intelligent vehicles are organized into a motorcade.
Optionally, the real-time operation information further includes real-time position information, real-time operation speed and real-time operation state information;
the formation module 402 is configured to: detecting whether the current first intelligent vehicle is the first vehicle of all the first intelligent vehicles;
if not, detecting whether the real-time vehicle distance between the current first intelligent vehicle and the previous adjacent intelligent vehicle belongs to a preset formation vehicle distance range;
if the real-time vehicle distance does not belong to the preset formation vehicle distance range, a vehicle distance adjustment instruction is sent to the current first intelligent vehicle, so that the current first intelligent vehicle adjusts the real-time vehicle distance with the previous adjacent intelligent vehicle based on the vehicle distance adjustment instruction;
and if the real-time vehicle distance belongs to the preset formation vehicle distance range, all the first intelligent vehicles are formed into a vehicle team.
Optionally, the method further comprises a re-module for:
determining whether to de-route the current formation vehicle from the fleet based on route station information of the current formation vehicle in the fleet when the fleet operates to a fork or a stop;
if yes, sending an unpacking instruction to the current formation vehicle so that the current formation vehicle is separated from the vehicle team based on the unpacking instruction;
acquiring real-time running information of all formation vehicles except the current formation vehicle in the vehicle team and real-time passenger flow of the current station;
and based on the real-time running information and the real-time passenger flow volume, forming the formed vehicles with one or more identical stations into a vehicle team in all formed vehicles except the current formed vehicle.
The intelligent vehicle formation device of the present embodiment may be used to execute the above method embodiments, and its principle and technical effects are similar, and will not be described herein.
Referring to fig. 5, the electronic device includes: a processor (processor) 501, a memory (memory) 502, and a bus 503;
wherein,
the processor 501 and the memory 502 complete communication with each other via the bus 503;
the processor 501 is configured to invoke the program instructions in the memory 502 to perform the methods provided by the method embodiments described above.
The present embodiments disclose a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, are capable of performing the methods provided by the method embodiments described above.
The present embodiment provides a non-transitory computer-readable storage medium storing computer instructions that cause a computer to perform the methods provided by the above-described method embodiments.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
It should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (6)
1. An intelligent vehicle formation method, comprising:
acquiring real-time passenger flow of each station and real-time operation information of each intelligent vehicle, wherein the real-time operation information at least comprises route station information;
based on the real-time passenger flow volume and the real-time running information, compiling a plurality of intelligent vehicles with one or more identical stations into a motorcade; each intelligent vehicle operates in a re-coupling formation mode;
the step of grouping a plurality of intelligent vehicles with one or more identical stations into a fleet based on the real-time passenger flow volume and the real-time operation information comprises the following steps:
determining that the route station information contains all first intelligent vehicles of the current station based on route station information of each intelligent vehicle;
determining whether the total passenger capacity of all the first intelligent vehicles is greater than or equal to the real-time passenger capacity;
if the real-time passenger flow is greater than or equal to the real-time passenger flow, all the first intelligent vehicles are organized into a motorcade;
the real-time operation information also comprises real-time position information, real-time operation speed and real-time operation state information;
said grouping all of said first intelligent vehicles into a fleet comprises:
detecting whether the current first intelligent vehicle is the first vehicle of all the first intelligent vehicles;
if not, detecting whether the real-time vehicle distance between the current first intelligent vehicle and the previous adjacent intelligent vehicle belongs to a preset formation vehicle distance range;
if the real-time vehicle distance does not belong to the preset formation vehicle distance range, a vehicle distance adjustment instruction is sent to the current first intelligent vehicle, so that the current first intelligent vehicle adjusts the real-time vehicle distance with the previous adjacent intelligent vehicle based on the vehicle distance adjustment instruction;
and if the real-time vehicle distance belongs to the preset formation vehicle distance range, all the first intelligent vehicles are formed into a vehicle team.
2. The intelligent vehicle queuing method of claim 1, wherein after said queuing of a plurality of intelligent vehicles having one or more identical stations into a fleet, further comprising:
determining whether to de-route the current formation vehicle from the fleet based on route station information of the current formation vehicle in the fleet when the fleet operates to a fork or a stop;
if yes, sending an unpacking instruction to the current formation vehicle so that the current formation vehicle is separated from the vehicle team based on the unpacking instruction;
acquiring real-time running information of all formation vehicles except the current formation vehicle in the vehicle team and real-time passenger flow of the current station;
and based on the real-time running information and the real-time passenger flow volume, forming the formed vehicles with one or more identical stations into a vehicle team in all formed vehicles except the current formed vehicle.
3. An intelligent vehicle formation device, comprising a data acquisition module and a formation module, wherein:
the data acquisition module is used for acquiring real-time passenger flow volume of each station and real-time operation information of each intelligent vehicle, wherein the real-time operation information at least comprises route station information;
the formation module is used for forming a plurality of intelligent vehicles with one or more identical stations into a vehicle team based on the real-time passenger flow volume and the real-time operation information; each intelligent vehicle operates in a re-coupling formation mode;
the formation module is used for:
determining that the route station information contains all first intelligent vehicles of the current station based on route station information of each intelligent vehicle;
determining whether the total passenger capacity of all the first intelligent vehicles is greater than or equal to the real-time passenger capacity;
if the real-time passenger flow is greater than or equal to the real-time passenger flow, all the first intelligent vehicles are organized into a motorcade;
the real-time operation information also comprises real-time position information, real-time operation speed and real-time operation state information;
the formation module is used for: detecting whether the current first intelligent vehicle is the first vehicle of all the first intelligent vehicles;
if not, detecting whether the real-time vehicle distance between the current first intelligent vehicle and the previous adjacent intelligent vehicle belongs to a preset formation vehicle distance range;
if the real-time vehicle distance does not belong to the preset formation vehicle distance range, a vehicle distance adjustment instruction is sent to the current first intelligent vehicle, so that the current first intelligent vehicle adjusts the real-time vehicle distance with the previous adjacent intelligent vehicle based on the vehicle distance adjustment instruction;
and if the real-time vehicle distance belongs to the preset formation vehicle distance range, all the first intelligent vehicles are formed into a vehicle team.
4. The intelligent vehicle queuing apparatus of claim 3 further comprising a reprogramming module for:
determining whether to de-route the current formation vehicle from the fleet based on route station information of the current formation vehicle in the fleet when the fleet operates to a fork or a stop;
if yes, sending an unpacking instruction to the current formation vehicle so that the current formation vehicle is separated from the vehicle team based on the unpacking instruction;
acquiring real-time running information of all formation vehicles except the current formation vehicle in the vehicle team and real-time passenger flow of the current station;
and based on the real-time running information and the real-time passenger flow volume, forming the formed vehicles with one or more identical stations into a vehicle team in all formed vehicles except the current formed vehicle.
5. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the intelligent vehicle queuing method of any of claims 1-2 when the program is executed by the processor.
6. A non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor implements the intelligent vehicle queuing method of any of claims 1 to 2.
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