CN114936456B - Tunnel construction organization scheme simulation method, computer device and computer readable storage medium - Google Patents
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Abstract
The invention provides a tunnel construction organization scheme simulation method, a computer device and a computer readable storage medium, wherein the tunnel construction organization scheme simulation method comprises the steps of obtaining a tunnel model, a vehicle model and a node model of a tunnel, obtaining a first set value of a tunnel static attribute parameter, a first initial value of a tunnel dynamic attribute parameter, a first second set value of a node static attribute parameter, a second initial value of a node dynamic attribute parameter and a third initial value of a vehicle dynamic attribute parameter, obtaining an event of the tunnel model and an event of the node model, obtaining a start event and an end event, and outputting a simulation result when the end event is triggered, wherein the simulation result comprises the number of tunnel vehicles changing along with time.
Description
Technical Field
The invention relates to the field of tunnel construction simulation, in particular to a tunnel construction organization scheme simulation method, a computer device and a computer readable storage medium.
Background
At present, in the construction process of long and large tunnels, the operation vehicle needs to run back and forth between the tunneling surface and the tunnel outlet, and as the operation surface is more, the road is narrow and the streamline is overlapped, the phenomenon of confusion of traffic and transportation organization of the vehicle in the tunnel is easy to occur, and the efficiency of tunnel construction is reduced. In order to prevent this, it is necessary to simulate the tunnel traffic conditions under each construction organization scheme to determine the merits of each alternative construction organization scheme when determining the construction organization scheme in which the vehicle is running in the tunnel.
The simulation object of the existing microscopic traffic simulation model is that each vehicle can pay attention to the motion characteristics of the vehicle in detail, but when the microscopic simulation model is used for simulating the tunnel construction organization scheme, the data volume required to be calibrated is large, and if the microscopic traffic simulation model is used for modeling the tunnel construction process, the time consumption and the workload of the construction organization scheme are large.
Disclosure of Invention
The first object of the invention is to provide a tunnel construction organization scheme simulation method which is high in evaluation speed and comprehensive.
The second object of the present invention is to provide a computer apparatus applying the above-mentioned simulation method of tunnel construction organization scheme.
A third object of the present invention is to provide a computer readable storage medium embodying the above-mentioned tunnel construction organization scheme simulation method.
In order to achieve the first object, the method for simulating the tunnel construction organization scheme provided by the invention comprises the following steps: obtaining a channel model, a vehicle model and a node model of a tunnel, wherein the channel model comprises channel static attribute parameters and channel dynamic attribute parameters, the vehicle model comprises vehicle dynamic attribute parameters, and the node model comprises node static attribute parameters and node dynamic attribute parameters; the channel dynamic attribute parameters comprise the number of channel vehicles, and the node dynamic attribute parameters comprise the number of node waiting vehicles; acquiring a first set value of a channel static attribute parameter, a first initial value of a channel dynamic attribute parameter, a second set value of a node static attribute parameter, a second initial value of a node dynamic attribute parameter and a third initial value of a vehicle dynamic attribute parameter; acquiring an event of a channel model and an event of a node model, wherein the event of the channel model is used for triggering the event of the node model, and changing a second initial value of a dynamic attribute parameter of the node; the event of the node model is used for triggering the event of the channel model, and changing a first initial value of the channel dynamic attribute parameter; changing a third initial value of the dynamic attribute parameter of the vehicle when the event of the channel model and/or the event of the node model is triggered; acquiring a start event and an end event, wherein the start event is used for triggering an event of a node model or an event of a channel model; and outputting a simulation result when the ending event is triggered, wherein the simulation result comprises the number of tunnel vehicles changing along with time, and the number of the tunnel vehicles is equal to the sum of the number of waiting vehicles of the nodes and the number of the channel vehicles.
The scheme shows that the channels, the nodes and the vehicles in the tunnel are modularized, so that the tunnel scene can be conveniently adjusted and a corresponding simulation model can be conveniently constructed when the tunnel scene is changed in the future; various waiting behaviors of the vehicle are considered in the node model according to actual conditions, so that simulation results are more comprehensive and reliable; the efficiency of the construction organization method is reflected by the number of tunnel vehicles changing along with time and the number of node waiting vehicles, and the result accords with the reality and is convenient and visual to acquire; by adopting an event-driven mode, the one-day tunnel traffic running condition can be simulated in one minute, and the simulation efficiency is greatly improved.
Further, the node static attribute parameter includes a set of channels with left inlets connected to the node and a set of channels with right inlets connected to the node.
The static attribute parameters of the channel comprise channel length, number of lanes, channel type, nodes connected with the upstream of the channel and nodes connected with the downstream of the channel; the channel dynamic attribute parameters also comprise a channel running state, a channel upstream node, a channel downstream node and a dynamic speed function, wherein the dynamic speed function is determined according to the acceleration of the vehicle, the safety distance between the vehicles, the vehicle length and the number of lanes.
Further, the vehicle dynamic attribute parameters comprise a route formed by the channel numbers, the current speed of the vehicle, the last updated time point of the vehicle dynamic attribute, the remaining mileage of the vehicle in the current channel and the expected time of the vehicle leaving the channel.
When the simulation result is output, the node which changes with time is output to wait for the number of vehicles.
It follows that the actual situation of the vehicle running in the tunnel is more fully considered.
Further, the events of the aisle model include a vehicle entering aisle event, a vehicle adding to a vehicle set and setting state event, an updating of an original vehicle state and a reservation of a departure event, a path change traffic state event, and a vehicle departure event, the vehicle entering aisle event triggers the adding of a vehicle to the vehicle set and setting state event, the adding of a vehicle to the vehicle set and setting state event triggers the updating of an original vehicle state and a reservation of a departure event and a path change traffic state event, and the updating of an original vehicle state and a reservation of a departure event triggers the vehicle departure aisle event.
The method comprises the steps that a node model event comprises a vehicle entering node event, a vehicle waiting event judging event whether the vehicle can leave, a front channel event entering according to whether the vehicle can enter, a vehicle starting waiting event, a front channel event entering according to a route, a vehicle entering node event triggering judging event whether the vehicle can leave, a front channel event entering according to the route, a vehicle triggering event whether the vehicle can leave, a front channel event entering according to the route, a front channel event starting waiting event triggering vehicle and a front channel event entering according to the route; the vehicle triggers a vehicle entry gateway event according to the route entry front gateway event, and the vehicle exit gateway event triggers a vehicle entry node event.
Further, before the channel model, the vehicle model and the node model of the tunnel are acquired, O is loaded 2 DES discrete time simulation framework.
In order to achieve the second object, the present invention provides a computer device, comprising a processor and a memory, wherein: the processor stores a computer program which, when executed by the processor, implements the steps of the tunnel construction organization scheme simulation method described above.
In order to achieve the third object described above, the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium, when executed, implements the steps of the above-described tunnel construction organization scheme simulation method.
Drawings
FIG. 1 is a flow chart of an embodiment of a simulation method of a tunnel construction organization scheme of the present invention.
FIG. 2 is a schematic diagram of a vehicle waiting at an intersection node according to an embodiment of the simulation method of the tunnel construction organization scheme of the present invention.
FIG. 3 is a schematic diagram of a vehicle derailing at an intersection node according to an embodiment of the simulation method of the tunnel construction organization scheme of the present invention.
FIG. 4 is a schematic diagram of a vehicle at an intersection node according to an embodiment of the simulation method of the tunnel construction organization scheme of the present invention.
FIG. 5 is a schematic diagram of a vehicle traveling over an intersection node according to an embodiment of the simulation method of the tunnel construction organization scheme of the present invention.
FIG. 6 is a schematic diagram of a channel model of an embodiment of the simulation method of the tunnel construction organization scheme of the present invention.
FIG. 7 is a schematic diagram of an intersection node model of an embodiment of the tunnel construction organization scheme simulation method of the present invention.
FIG. 8 is an abstract schematic diagram of a traffic road network of a tunnel inclined shaft work area according to an embodiment of the simulation method of the tunnel construction organization scheme of the invention.
FIG. 9 is a schematic diagram of the number of tunnel vehicles over time of simulation results of an embodiment of the simulation method of the tunnel construction organization scheme of the present invention.
Fig. 10 is a schematic diagram of the number of node waiting vehicles of the time-varying nodes 10 of the simulation result of the tunnel construction organization scheme simulation method embodiment of the present invention.
Fig. 11 is a schematic diagram of the number of node waiting vehicles of the time-varying nodes 11 of the simulation result of the tunnel construction organization scheme simulation method embodiment of the present invention.
Fig. 12 is a schematic diagram of the number of node waiting vehicles of the time-varying nodes 13 of the simulation result of the tunnel construction organization scheme simulation method embodiment of the present invention.
The invention is further described below with reference to the drawings and examples.
Detailed Description
According to the tunnel construction organization scheme simulation method, the tunnel construction organization scheme is simulated according to the acquired channel model, the vehicle model, the node model, the starting event and the ending event.
The simulation method embodiment of the tunnel construction organization scheme comprises the following steps:
the present embodiment is implemented by a computer program, referring to fig. 1, first, step S1 is performed to load a program template file. Specifically, load O 2 The DES discrete time simulation framework can spontaneously advance a simulation clock to a time node where the next event occurs by means of an event-driven mechanism, and compared with a traditional time-driven simulation method, the DES discrete time simulation framework can avoid generating a large number of empty event time stamps, thereby accelerating the simulation rate and O 2 The DES discrete event simulation framework is referred to in papers Capacity planning for mega container terminals with multi-objective and multi-fidelity simulation optimization.
And then executing step S2 to obtain a channel model, a vehicle model and a node model of the tunnel. The channel model comprises channel static attribute parameters and channel dynamic attribute parameters, wherein the channel static attribute parameters comprise channel length, lane number, channel type, nodes connected with the upstream of the channel and nodes connected with the downstream of the channel, and the channel dynamic attribute parameters comprise channel running states, nodes upstream of the channel, nodes downstream of the channel and dynamic speed functions. The vehicle model comprises vehicle dynamic attribute parameters, wherein the vehicle dynamic attribute parameters comprise a route formed by channel numbers, the current speed of the vehicle, the last updated time point of the vehicle dynamic attribute, the remaining mileage of the vehicle in the current channel and the expected time of the vehicle leaving the channel. The node static attribute parameters include a set of lanes with left ingress connected to the node, a set of lanes with right ingress connected to the node, and the node dynamic attribute includes the number of vehicles waiting by the node.
Specifically, let i be the index of the channel, have i ε Λ, Λ representing the set of all channels. The static properties of channel i are as follows:
S i ＝{l i， ，n i ，p i ，o i ，o’ i }，
wherein S is i Channel static attribute parameter set for channel i, l i， For the channel length of channel i, n i The number of lanes for lane i; p is p i Indicating channel type, p i = -1 represents the entry direction, p i =1 denotes a return direction; o (o) i And o' i Representing nodes connected by an upstream channel and nodes connected by a downstream channel, respectively. For one channel, the channel portion near the tunnel entrance is an upstream channel, and the channel portion far from the tunnel entrance is a downstream channel.
The dynamic properties of channel i are as follows:
D i (τ)＝{e i (τ)，d i (τ)，d’ i (τ)，H i (τ)，v i (τ)}，
wherein D is i (tau) is the channel dynamic property parameter set of channel i, e i (τ) represents the channel-opening state of channel i, e i (τ) = -1 represents the left to right row, e i (τ) =1 represents right-to-left opening, wherein the "left" direction is the tunnel entrance direction, the "right" direction is the tunneling direction, that is, opening from left to right is opening from the tunnel entrance direction to the tunneling prescription direction, and opening from right to left is opening from the tunneling direction to the tunnel entrance direction; e, e i (τ) =0 denotes a bidirectional pass, when p i = -1 or p i ＝1，e i (τ)＝p i Unchanged; d, d i (τ) and d' i (τ) represents the channel upstream node and the channel downstream node of channel i, respectively, for p i = -1 or p i Node=1, whose upstream and downstream nodes are fixed, e.g. for p i When= -1, d i (τ)＝o i ，d’ i (τ)＝o’ i But for a bidirectional channel, its upstream node and downstream node follow the channel on-line state e as follows i (τ) change to change:
H i (τ) represents the set of aisle vehicles, i.e. the number of aisle vehicles, with H ε H i (τ), where h is the vehicle index. v i (tau) is a dynamic speed function, since the vehicles in the tunnel need to maintain a safe distance under the condition of speed limit in order to ensure that the vehicles can brake for a sufficient time, the establishment of the dynamic speed function is referred to as a dynamic speed model in A modularized simulation for traffic network in container terminals via network of servers with dynamic rates, a is the acceleration of the vehicles, d is the safe distance of the vehicle parts, and the running speed v is determined according to the assumption i (τ) is
Furthermore, given the vehicle length L and the number of lanes N, the average safe distance can be written as a function d=n/ρ -L of ρ when the density is not negative, whereby the road section speed limit v can be obtained max Dynamic speed function of the represented channel i:
Taking H as an index of the vehicle, wherein H epsilon H, H represents a set of all the channel vehicles, and the vehicle dynamic attribute parameters in the vehicle model are determined by the channel model and the node model and exist only as a dynamic set:
D h (τ)＝{R h (τ)，v h (τ)，t h (τ)，m h (τ)，u h (τ)}，
wherein D is h (τ) is a vehicle dynamic property parameter of the vehicle h, R h (τ) is a route composed of channel numbers, v h (τ) is the current speed of the vehicle, t h (τ) is D h (tau) time point of last update, m h (tau) is the remaining mileage of the vehicle in the current lane, u h (τ) is the time at which the vehicle is expected to leave the current lane.
According to the different positions and the different working types of the nodes, the nodes are divided into three types of intersections, sections and inclined shaft entrances and exits. Since the nodes in the tunnel are more spacious than the tunnel, in order to ensure that all vehicles do not collide in opposite directions in the tunnel, all the vehicles are in a wrong state, can get out of the way and finish the running at the nodes, and all the three behaviors are based on the waiting behaviors of the vehicles at the nodes of the intersections as shown in fig. 2. The vehicle-crossing behavior refers to fig. 3, when no other vehicles exist in both the lanes, one vehicle waits for the other vehicle to reach the intersection, and then enters the next road section by virtue of the width of the intersection; let the behavior refer to fig. 4, when all vehicles in one aisle have been waiting at the intersection (left-side vehicle) and vehicles are running in the opposite aisle (right-side second vehicle), the right-side vehicle is scheduled to enter the left-side aisle through the vehicle-crossing behavior at first, and the left-side vehicle continues to wait at the intersection to cross with the right-side second vehicle; the overrun behavior is referred to as 5, allowing a rear vehicle to pass over a front vehicle into another aisle at an intersection when the second vehicle ahead on the right is waiting and the direction of the vehicle is not the opposite aisle. It should be noted that, the width of a channel only allows to accommodate one vehicle, but the space of the junction node is larger, at least two vehicles can be accommodated, and the above-mentioned staggering, the possibility of letting and the going beyond are all realized by the width of the junction node. Taking j as the index of the node, j epsilon N, N represents the set of all the nodes, and j epsilon N is:
S j ＝{N j ，N’ j }，
wherein S is j For the static attribute parameter set of the intersection node, N j Representing the set of lanes with left ingress connected to node j, N' j Representing the set of channels with the right entry connected to node j. For a bi-directional channel, the left ingress of the bi-directional channel is connected to node j and the left egress is connected to node j.
The method comprises the following steps:
D j (τ)＝{H j (τ)，h j (τ)}，
wherein D is j (tau) is the intersection node dynamic attribute parameter set, H j (τ) represents the number of node waiting vehicles, i.e., the number of node waiting vehicles indicates that the vehicle is in a "blocked state" (the traffic signal indicates not accessible) due to the subject vehicle traveling in the front aisle, and the set of vehicles waiting at the intersection node is selected.
Step S3 is executed to initialize the attribute parameters. Specifically, a first set value of a channel static attribute parameter, a first initial value of a channel dynamic attribute parameter, a second set value of a node static attribute parameter, a second initial value of a node dynamic attribute parameter and a third initial value of a vehicle dynamic attribute parameter are obtained. The first set value of the channel static attribute parameter and the second set value of the node static attribute parameter are fixed values, namely the values obtained at the beginning are all the time, and are not changed along with the running of the program. The first initial value of the channel dynamic attribute parameter, the second initial value of the node dynamic attribute parameter and the third initial value of the vehicle dynamic attribute parameter are non-fixed values and change along with the running of the program.
And step S4, acquiring the time of the channel model and the event of the node model. The event of the channel model is used for triggering the event of the node model, and changing a second initial value of the dynamic attribute parameter of the node; the event of the node model is used for triggering the event of the channel model, and changing a first initial value of the channel dynamic attribute parameter; when the event of the channel model and/or the event of the node model is triggered, a third initial value of the vehicle dynamic property parameter is changed.
Specifically, the time of the channel model is composed of input events, internal events and output events, and the triggering relationship between the events refers to fig. 6,
and->
Input event and output event respectively, +.>
Are internal events. The events include a vehicle entry lane event, adding a vehicle to a vehicle collection and setting a status event, updating an original vehicle status and subscribing to a departure event, a rerouting traffic status event, a vehicle departure event. The vehicle entering channel event triggers adding the vehicle to the vehicle set and setting the state event, adding the vehicle to the vehicle set and setting the state event triggers updating the original vehicle state event and changing the path traffic state event, updating the original vehicle state and predefining the leaving event to trigger the vehicle leaving channel event. The specific explanation of each event is as follows:
Specifically, the node model also includes an input event, an internal event, and an output event, taking the intersection node model as an example, and referring to fig. 7, the events of the node model include a vehicle entering node event, determining whether the vehicle can leave the event, determining whether the vehicle can enter the front channel event according to whether the vehicle starts the event, determining whether the vehicle can leave the event according to the route, determining whether the vehicle can enter the front channel event according to the trigger of the vehicle entering node event, determining whether the vehicle can leave the event, triggering the vehicle to enter the front channel event according to the route, and triggering the vehicle to start the event according to whether the vehicle can enter the front channel event and the vehicle to enter the front channel event according to the route. The specific explanation of each event is as follows:
Therefore, the vehicle enters the front passage event according to the route, triggers the vehicle to enter the passage event, and the vehicle leaves the passage event to trigger the vehicle to enter the node event, so that the simulation of the vehicle at the passage and the node can be realized. The function of the section node is basically the same as that of the intersection node, except that in the section node
And->
A preset time interval exists between the two, and the time interval is used as the time for loading and unloading the vehicle; the inclined shaft entrance/exit node differs from the other two nodes in that the node serves as a starting point for a departure vehicle, and can transmit a vehicle that performs a task and a vehicle that accommodates a return.
Step S5 is executed to acquire a start event and an end event. The start event is used to trigger a time of the node model or an event of the aisle model such that the simulation starts, which may be to be a departure from a certain time interval, thereby triggering a vehicle entry aisle event or a vehicle entry node event each time a departure occurs. And when the ending event is triggered, a simulation result is output, at the moment, the simulation is ended, a set simulation result is output, and the ending event can be when the last vehicle is sent out and a certain time interval passes, or an external user manually interrupts the simulation.
And executing step S6, and outputting a simulation result when the ending event is triggered. The simulation result includes a number of tunnel vehicles that varies over time, the number of tunnel vehicles being equal to a sum of the number of node waiting vehicles and the number of aisle vehicles. The output of the simulation results includes a number of tunnel vehicles that varies with time, the number of tunnel vehicles being equal to a sum of the number of waiting vehicles in each node and the number of aisle vehicles in each aisle. The output of the simulation result also includes the number of node waiting vehicles changing with time, alternatively, the simulation result may be the number of node waiting vehicles of each node.
The simulation process will be further described below, referring to fig. 8, the inclined shaft work area has six working sections, namely, section node 1, section node 2, section node 3, section node 4, section node 5, and section node 6, and only one-way vehicles are allowed to pass through due to the narrow roads near the section nodes. Further, since the present invention focuses on the traffic organization simulation inside the tunnel, the operation construction section is simplified, and the present embodiment considers only that the inclined shaft node 0 is started at a fixed departure interval according to the operation surface construction arrangement, the inclined shaft node 0 is returned after the completion of the work according to the operation arrangement, the route organized in a streamline (table 1) reaches the operation surface. In the present embodiment, a total of 80 dump trucks CQ3260 are used, the vehicle length l=9.56 m, and the braking acceleration a=5.5 m/s 2 Safety distance d=5.8m, road speed limit v max =5.5 m/S, substituting the above parameters into the dynamic speed function of step S2.
TABLE 1 vehicle streamline organization
In the embodiment, the traffic organization in the inclined shaft work area in one day is simulated, and the influence of different departure intervals is tested. Generally, the higher the construction efficiency of the tunnel section, the more vehicles are required to load and unload the slag, so the departure interval also represents different tunnel construction efficiencies, and the shorter the departure interval, the higher the section construction efficiency. Referring to fig. 9, it can be seen that the number of tunnel vehicles is kept stable in one day in the case of departure times of 3min, 4min, and 5min, but in the case of 2min, the number of tunnel vehicles is continuously increased, resulting in traffic congestion in the tunnel, and since the traffic transportation efficiency in the tunnel is not matched with the efficiency of section construction, the construction efficiency is reduced due to phase change, so in this embodiment, it is appropriate to set the average departure interval to 3min or more.
In addition, because vehicles in the tunnel are less than the road network in scale, the vehicle-crossing behavior is an important cause of traffic jam in the tunnel, and after the fact that which intersection node is most prone to the vehicle-crossing behavior is obtained is explored, the simulation result outputs the number of the nodes which change along with time to wait for the vehicles, so that measures such as widening can be carried out on the intersection node, and the construction efficiency is accelerated. Referring to fig. 10, it can be seen that the node 10 has almost no vehicle waiting at the departure time intervals of 4min and 5min, and has a vehicle waiting at the departure time intervals of 2min and 3min, and according to the streamline organization of table 1, the vehicle of the lane 7 encounters the return vehicles of the lane 10 to the lane 6, so that a vehicle waiting at the common node 10 occurs, and the simulation result meets the expectations. Referring to fig. 11, it can be seen that the normal node 11 does not have a vehicle waiting condition in the case of a departure time interval of 5min, and has a vehicle waiting condition in the case of a departure time interval of 4 min. Referring to fig. 12, when the departure time interval of the common node 13 is 2min and 3min, the situation that three vehicles and four vehicles wait, namely, the behavior can be allowed or the behavior can be overturned, is compared with other nodes, the common node 13 is the node with the most frequent waiting behavior and the most vehicles, so that the node 13 can be considered as the weak link of the whole road network, the range of the common node 13 is widened for the common node 13, or the running efficiency of the whole road network can be improved by reducing the time of the vehicles in the departure of the node, and the whole construction progress is further accelerated.
Computer apparatus embodiment:
the computer device of the present embodiment includes a processor and a memory, where the memory stores a computer program, and the processor implements each step of the above-mentioned tunnel construction organization scheme simulation method when executing the computer program.
Computer devices may include, but are not limited to, processors and memory. Those skilled in the art will appreciate that a computer apparatus may include more or fewer components, or may combine certain components, or different components, e.g., a computer apparatus may also include input and output devices, network access devices, buses, etc.
For example, the processor may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microcontroller or the processor may be any conventional processor or the like. The processor is the control center of the computer device and connects the various parts of the entire computer device using various interfaces and lines.
The memory may be used to store computer programs and/or modules, and the controller implements various functions of the computer device by running or executing the computer programs and/or modules stored in the memory, and invoking data stored in the memory. For example, the memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function (e.g., a sound receiving function, a sound converting to text function, etc.), and the like; the storage data area may store data (e.g., audio data, text data, etc.) created according to the use of the handset, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
Computer-readable storage medium embodiments:
the modules integrated with the computer apparatus of the above embodiments may be stored in a computer-readable storage medium if implemented in the form of software functional units and sold or used as a stand-alone product. Based on such understanding, implementing all or part of the flow in the tunnel construction organization scheme simulation method embodiment may also be accomplished by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and the computer program may implement the steps of the tunnel construction organization scheme simulation method embodiment described above when executed by the controller. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, executable files or in some intermediate form, etc. The storage medium may include: any entity or device capable of carrying computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the content of the computer readable medium can be appropriately increased or decreased according to the requirements of the jurisdiction's jurisdiction and the patent practice, for example, in some jurisdictions, the computer readable medium does not include electrical carrier signals and telecommunication signals according to the jurisdiction and the patent practice.
In summary, the invention modularizes the channels, nodes and vehicles in the tunnel, thereby being convenient for more convenient adjustment and construction of corresponding simulation models when changing tunnel scenes in the future; various waiting behaviors of the vehicle are considered in the node model according to actual conditions, so that simulation results are more comprehensive and reliable; the efficiency of the construction organization method is reflected by the number of tunnel vehicles changing along with time and the number of node waiting vehicles, and the result accords with the reality and is convenient and visual to acquire; by adopting an event-driven mode, the one-day tunnel traffic running condition can be simulated in one minute, and the simulation efficiency is greatly improved. The computer device and the computer readable storage medium realize the tunnel construction organization scheme simulation method.
Claims (5)
1. The tunnel construction organization scheme simulation method is characterized by comprising the following steps of:
obtaining a channel model, a vehicle model and a node model of a tunnel, wherein the channel model comprises channel static attribute parameters and channel dynamic attribute parameters, the vehicle model comprises vehicle dynamic attribute parameters, and the node model comprises node static attribute parameters and node dynamic attribute parameters; the channel dynamic attribute parameters comprise the number of channel vehicles, and the node dynamic attribute parameters comprise the number of node waiting vehicles;
acquiring a first set value of the channel static attribute parameter, a first initial value of the channel dynamic attribute parameter, a second set value of the node static attribute parameter, a second initial value of the node dynamic attribute parameter and a third initial value of the vehicle dynamic attribute parameter;
acquiring an event of the channel model and an event of the node model, wherein the event of the channel model is used for triggering the event of the node model, and changing a second initial value of the dynamic attribute parameter of the node; the event of the node model is used for triggering the event of the channel model, and changing a first initial value of the channel dynamic attribute parameter; changing a third initial value of the vehicle dynamic attribute parameter when the event of the channel model and/or the event of the node model is triggered;
acquiring a start event and an end event, wherein the start event is used for triggering an event of the node model or an event of the channel model;
outputting a simulation result when the ending event is triggered, wherein the simulation result comprises the number of tunnel vehicles changing with time, and the number of tunnel vehicles is equal to the sum of the number of waiting vehicles of the node and the number of vehicles of the channel;
the node static attribute parameters comprise a set of channels with left inlets connected to the node and a set of channels with right inlets connected to the node;
the channel static attribute parameters comprise channel length, number of lanes, channel type, nodes connected with the upstream of the channel and nodes connected with the downstream of the channel;
the channel dynamic attribute parameters further comprise a channel running state, a channel upstream node, a channel downstream node and a dynamic speed function, wherein the dynamic speed function is determined according to the acceleration of the vehicle, the safety distance between the vehicles, the length of the vehicle and the number of lanes;
the vehicle dynamic attribute parameters comprise a route formed by channel numbers, the current speed of the vehicle, the last updated time point of the vehicle dynamic attribute, the remaining mileage of the vehicle in the current channel and the moment when the vehicle is expected to leave the channel;
the events of the channel model comprise a vehicle entering channel event, a vehicle adding to a vehicle set and setting state event, an original vehicle state updating and preset leaving event, a path changing traffic state event and a vehicle leaving event, wherein the vehicle entering channel event triggers the vehicle adding to the vehicle set and setting state event, the vehicle adding to the vehicle set and setting state event triggers the original vehicle state updating and preset leaving event and the path changing traffic state event, and the original vehicle state updating and preset leaving event triggers the vehicle leaving channel event;
the events of the node model comprise a vehicle entering node event, a vehicle waiting leaving event judging event, a front channel entering event according to whether the vehicle can enter, a vehicle starting waiting event and a front channel entering event according to a route, wherein the vehicle entering node event triggers the vehicle waiting event judging whether the vehicle can leave and the front channel entering event according to whether the vehicle can enter, the vehicle entering front channel entering event is triggered by the vehicle waiting time judging event judging whether the vehicle can leave according to the route, and the vehicle starting waiting event and the front channel entering event according to the route are triggered according to the front channel entering event judging whether the vehicle can leave;
the vehicle triggers the vehicle entry gateway event according to a route entry front gateway event, and the vehicle exit gateway event triggers the vehicle entry node event.
2. The tunnel construction organization scheme simulation method according to claim 1, wherein:
and when the simulation result is output, outputting the number of the nodes waiting for the vehicles, which changes along with time.
3. The tunnel construction organization scheme simulation method according to claim 1, wherein:
loading O prior to acquiring the tunnel model, the vehicle model, the node model of the tunnel 2 DES discrete time simulation framework.
4. A computer device comprising a processor and a memory, characterized in that: the processor stores a computer program which, when executed by the processor, implements the respective steps of the tunnel construction organization scheme simulation method as set forth in any one of the above claims 1 to 3.
5. A computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, and the computer program when executed implements the steps of the tunnel construction organization scheme simulation method according to any one of the claims 1 to 3.
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