CN108877253B - Internet of things-based bus lane resource dynamic sharing method and system - Google Patents
Internet of things-based bus lane resource dynamic sharing method and system Download PDFInfo
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- CN108877253B CN108877253B CN201810846517.0A CN201810846517A CN108877253B CN 108877253 B CN108877253 B CN 108877253B CN 201810846517 A CN201810846517 A CN 201810846517A CN 108877253 B CN108877253 B CN 108877253B
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Abstract
The invention discloses a method and a system for dynamically sharing bus lane resources based on the Internet of things. The method comprises the steps that a special signal lamp for indicating whether social vehicles can enter a bus lane to drive is additionally arranged at a crossing of a screened bus lane; the special signal lamp keeps a red light state, when buses in all the bus fleets drive into the current intersection, the remaining passing time of the original signal lamp is calculated according to the straight passing time of the original signal lamp and the time difference value of all the bus fleets passing through the current intersection; the state of the special signal lamp is controlled by judging the residual passing time of the original signal lamp and the size of the clearing time threshold value of the special signal lamp, and whether the straight social vehicle is allowed to run by virtue of the bus lane is further determined. The invention improves the utilization efficiency of the road space-time resources.
Description
Technical Field
The invention belongs to the field of Internet of things, and particularly relates to a method and a system for dynamically sharing bus lane resources based on the Internet of things.
Background
With the rapid development of urbanization, the quantity of urban motor vehicles kept continuously increases, and as the land resources are limited, the road construction period is long and the cost is huge, the traffic jam is relieved by increasing the road resources, and the sustainable development of traffic cannot be met. The rapid development of public transport is a fundamental way for relieving traffic jam, and the arrangement of a bus lane is an effective means for guaranteeing the priority of public transport. However, according to on-site research, the utilization rate of the public transport lane in part of time intervals is low, and the traffic of adjacent social lanes is congested, so that the waste of space-time resources of the lane is caused. Therefore, the concept of dynamic sharing of the bus lane is provided, the space-time resources of the bus are divided again and fully utilized, and the traffic jam is relieved.
The sharing requirement of the public transport lane has a real-time accurate algorithm and a safe and efficient communication network, has certain difficulty, and is not implemented at home at present. The existing bus lane sharing research still uses the traditional time-sharing bus lane concept, the theory and the algorithm are relatively simple, the control of social vehicles depends on experience rather than accurate calculation, the setting requirement on road facilities is fuzzy, the calculation of related parameters is not strict, the bus lane sharing rate is low, the effect of improving traffic jam is very limited, the operability is not strong, and therefore the bus lane sharing research is difficult to popularize and implement on the bus lane in a large range, and the social benefit is not outstanding.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a dynamic sharing method of public transport special lane resources based on the Internet of things, which can improve the current traffic jam situation and improve the utilization efficiency of the space-time resources on the roads.
The invention discloses a dynamic bus lane resource sharing method based on the Internet of things, which comprises the following steps:
step 1: pre-screening a bus lane capable of being dynamically shared, and additionally arranging a special signal lamp for indicating whether social vehicles can enter the bus lane to run at the crossing of the screened bus lane;
setting the original signal lamp and the special signal lamp of the intersection to be in a no-pass state when the original signal lamp and the special signal lamp are in red lamps, and setting the original signal lamp and the special signal lamp of the intersection to be in a pass state when the original signal lamp and the special signal lamp are in green lamps; setting the signal period and straight-going passing time length of an original signal lamp at the intersection as G; the passing time of the special signal lamp is G, the clearing time threshold of the special signal lamp is gc, wherein gc is not less than G and not more than G;
step 2: timing coordination line control is adopted when the original signal lamps of two continuous intersections are additionally provided with special signal lamps, and the clear time threshold gc of the special signal lamps is equal to the time delay of getting on and off buses on the current road section;
and step 3: when the original signal light at the current intersection is a green light, detecting whether a bus exists in the farthest detection distance L of the bus, and if so, entering the step 4; otherwise, jumping to step 5; wherein L ═ G × v; v is the running speed of the bus;
and 4, step 4: the special signal lamp keeps a red light state, when buses in all the bus fleets drive into the current intersection, the remaining passing time Gl of the original signal lamp is calculated according to the straight passing time of the original signal lamp and the time difference value of all the bus fleets passing through the current intersection; if the Gl is less than or equal to gc, keeping the red light of the special signal lamp unchanged, and returning to the step 3; if Gl > gc, go to step 5;
and 5: the special signal lamp is changed into a green lamp, and the straight social vehicles are allowed to run by means of the bus special way; the green light duration of the special signal light is g, g is Gl-gc, and the special signal light turns into a red light after the green light is finished.
The special lamp is green, the special lamp emptying time length threshold is gc, and the residual green time Gl of the general lamp is g-gC. gc is the time taken for emptying the social vehicles on the bus lane when the signal lamp of the bus lane is still green, so as to prevent the social vehicles on the bus lane from obstructing the bus running in the next signal period.
Further, in the step 1, the conditions for pre-screening the bus lanes capable of being dynamically shared are as follows:
in the same time period, ηs≥n*ηb，ηb<Tau of which ηsSpace occupancy of social lanes ηbThe space occupancy rate of the bus lane is shown; n is a judgment ratio, the value of which is known; τ is a determination threshold, the value of which is known.
Wherein n is a judgment ratio and is a value according to experience, for example, n is 3; τ is a judgment threshold value, and is taken according to experience, for example, τ is 10%.
Further, in the step 2, the calculation process of the time delay of getting on and off the bus on the current road section is as follows:
predicting the getting-on passenger flow volume of the current road section and the getting-off passenger flow volume of the current road section, and respectively calculating the getting-on delay time mean value of the bus and the getting-off delay time mean value of the bus according to the preset average time spent by passengers on the bus and the preset average time spent by passengers on the bus;
and taking the maximum value of the average value of the time delay of getting on the bus and the average value of the time delay of getting off the bus as the time delay of getting on or off the bus on the current road section.
Further, the process of predicting the getting-on passenger flow volume of the current road section and the getting-off passenger flow volume of the current road section is as follows:
acquiring historical data of the passenger flow of getting on and off the bus on the current road section, and performing category division according to five dimensions of working days, non-working days, holidays, good weather and severe weather to construct a sample set and a test set;
and according to the constructed sample and the constructed test set, respectively utilizing the time sequence model and the improved BP neural network model to obtain corresponding information of the passenger flow of getting on or off the vehicle, and then obtaining the predicted value of the passenger flow of getting on the vehicle at the current road section and the predicted value of the passenger flow of getting off the vehicle at the current road section through weighted calculation.
Further, in the process of weighting calculation, the value of the weight is determined according to the site type, wherein the site type comprises a peak site and an off-peak site; the peak station is a station with peak passenger flow more than 3 times of peak passenger flow.
The invention also provides a dynamic sharing system of the public transport special lane resources based on the Internet of things, which can improve the current traffic jam situation and improve the utilization efficiency of the space-time resources on the road.
The invention discloses a public transport lane resource dynamic sharing system based on the Internet of things, which comprises the following components:
the special signal lamp is arranged at the crossing of the screened bus lane and is used for indicating whether the social vehicles can enter the bus lane to run or not; and
the signal lamp controller is respectively connected with the special signal lamp and the original signal lamp and is used for regularly coordinating the signal timing of the line control original signal lamp; and
a resource dynamic sharing processor connected to the signal light controller and configured to perform the steps of:
pre-screening public transportation lanes capable of being dynamically shared, and setting the original signal lamps and the special signal lamps of the intersections to be in a no-pass state when the original signal lamps and the special signal lamps are in red lamps, and setting the green lamps to be in a pass state; setting the signal period and straight-going passing time length of an original signal lamp at the intersection as G; the passing time of the special signal lamp is G, the clearing time threshold of the special signal lamp is gc, wherein gc is not less than G and not more than G; the special signal lamp emptying time threshold gc is equal to the time delay of getting on and off the bus on the current road section;
when the original signal light of the current intersection is green, detecting whether a bus exists in the farthest detection distance L of the bus, if so, entering a special signal light to keep a red light state, and calculating the residual passing time Gl of the original signal light according to the straight passing time of the original signal light and the time difference value of all buses in the bus group passing through the current intersection when the buses in all the bus groups enter the current intersection; if the Gl is less than or equal to gc, keeping the red light of the special signal lamp unchanged, and continuously detecting whether the bus exists in the farthest detection distance L of the bus; if Gl is more than gc, the special signal lamp is changed into green light, and the straight social vehicles are allowed to run by means of the bus lane; the green light duration of the special signal light is g, g is Gl-gc, and the special signal light turns into a red light after the green light of the special signal light is finished; wherein L ═ G × v; v is the running speed of the bus;
if the bus does not exist in the farthest detection distance L of the bus, the special signal lamp is changed into a green lamp, and the straight-going social bus is allowed to run by means of the bus lane; the green light duration of the special signal light is g, g is Gl-gc, and the special signal light turns into a red light after the green light is finished.
Further, in the dynamic resource sharing processor, the conditions for pre-screening the bus lanes that can be dynamically shared are as follows:
in the same time period, ηs≥n*ηb，ηb<Tau of which ηsSpace occupancy of social lanes ηbThe space occupancy rate of the bus lane is shown; n is judgmentAn off ratio, the value of which is known; τ is a determination threshold, the value of which is known.
Further, in the resource dynamic sharing processor, the calculation process of the time delay of getting on and off the bus on the current road section is as follows:
predicting the getting-on passenger flow volume of the current road section and the getting-off passenger flow volume of the current road section, and respectively calculating the getting-on delay time mean value of the bus and the getting-off delay time mean value of the bus according to the preset average time spent by passengers on the bus and the preset average time spent by passengers on the bus;
and taking the maximum value of the average value of the time delay of getting on the bus and the average value of the time delay of getting off the bus as the time delay of getting on or off the bus on the current road section.
Further, in the resource dynamic sharing processor, the process of predicting the getting-on passenger flow volume of the current road section and the getting-off passenger flow volume of the current road section is as follows:
acquiring historical data of the passenger flow of getting on and off the bus on the current road section, and performing category division according to five dimensions of working days, non-working days, holidays, good weather and severe weather to construct a sample set and a test set;
and according to the constructed sample and the constructed test set, respectively utilizing the time sequence model and the improved BP neural network model to obtain corresponding information of the passenger flow of getting on or off the vehicle, and then obtaining the predicted value of the passenger flow of getting on the vehicle at the current road section and the predicted value of the passenger flow of getting off the vehicle at the current road section through weighted calculation.
Further, in the dynamic resource sharing processor, in the process of weighting calculation, the value of the weight is determined according to the site type, wherein the site type comprises a peak site and an off-peak site; the peak station is a station with peak passenger flow more than 3 times of peak passenger flow.
Compared with the prior art, the invention has the beneficial effects that:
(1) the method takes the actual road conditions, signal lamp timing and the driving habits of the driver into consideration, the method is strict in logic, and the calculation result is efficient and accurate;
(2) the invention breaks through the traditional public transport priority concept, provides a public transport bus lane sharing method on the premise of the priority of the public transport, completely accords with the sustainable development concept of the bus lane, and improves the utilization efficiency of the space-time resources of the road to a certain extent;
(3) the popularization and the implementation of the invention greatly improve the passing efficiency of the social vehicles, improve the traffic operation environment and meet the requirements of the majority of citizens.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application.
Fig. 1 is a flow chart of a dynamic bus lane resource sharing method based on the internet of things.
Fig. 2 is a schematic diagram of intersection a.
Fig. 3 is a schematic diagram of intersection a holding a dedicated signal light from traffic.
Fig. 4 is a schematic diagram of intersection a for special signal lamp traffic.
Fig. 5 is a schematic structural diagram of a dynamic bus lane resource sharing system based on the internet of things.
Detailed Description
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
Fig. 1 is a flow chart of a dynamic bus lane resource sharing method based on the internet of things.
As shown in fig. 1, the method for dynamically sharing bus lane resources based on the internet of things of the present invention includes:
step 1: the method comprises the steps of pre-screening a bus lane capable of being dynamically shared, and additionally arranging a special signal lamp for indicating whether social vehicles can enter the bus lane to run at the crossing of the screened bus lane.
Setting the original signal lamp and the special signal lamp of the intersection to be in a no-pass state when the original signal lamp and the special signal lamp are in red lamps, and setting the original signal lamp and the special signal lamp of the intersection to be in a pass state when the original signal lamp and the special signal lamp are in green lamps; setting the signal period and straight-going passing time length of an original signal lamp at the intersection as G; the passing time of the special signal lamp is G, the clearing time threshold of the special signal lamp is gc, wherein gc is not less than G and not more than G;
in the step 1, the conditions for pre-screening the bus lanes capable of being dynamically shared are as follows:
in the same time period, ηs≥n*ηb，ηb<Tau of which ηsSpace occupancy of social lanes ηbThe space occupancy rate of the bus lane is shown; n is a judgment ratio, the value of which is known; τ is a determination threshold, the value of which is known.
Wherein n is a judgment ratio and is a value according to experience, for example, n is 3; τ is a judgment threshold value, and is taken according to experience, for example, τ is 10%.
Step 2: timing coordination drive-by-wire is adopted when the signals of the original signal lamps of two continuous intersections are additionally provided with the special signal lamps, and the clear time threshold gc of the special signal lamps is equal to the time delay of getting on and off the bus on the current road section. Two consecutive intersections a and B, wherein intersection a is shown in fig. 2.
Let the road spacing at the junction of A, B be s, according to the regulation of traffic management and control, the coordination mode is controlled according to the judgment signal of s, and the synchronous coordination control spacing
Interval of interactive coordination control
If s-s1|≤|s-s2If s-s, synchronous coordinated control is adopted1|>|s-s2And adopting interactive coordination control.
Selecting A as a key intersection, and displaying green light time g according to a timing type line control timing principlem＝gme+Im+ l effective green time
Wherein:
gmdisplaying green time for the main road direction on the key intersection;
gmethe effective green time of the main road direction at the key intersection is set;
Imthe green light interval time of the key intersection is set;
l is the start-up loss time;
Lmthe total loss time of the key intersection;
ym、y′mthe flow ratio of the main road on the key intersection in two directions is obtained;
Ymis the sum of the maximum flow ratio at the key intersection.
On the basis of the timing line control of the signal lamp of the intersection A, B, in order to ensure that the borrowed social vehicle leaves the intersection within the time length of the next green lamp of the intersection B, gc is equivalent to the time delay of getting on and off the bus on the road section.
In the step 2, the calculation process of the time delay of getting on and off the bus on the current road section is as follows:
predicting the getting-on passenger flow volume of the current road section and the getting-off passenger flow volume of the current road section, and respectively calculating the getting-on delay time mean value of the bus and the getting-off delay time mean value of the bus according to the preset average time spent by passengers on the bus and the preset average time spent by passengers on the bus;
and taking the maximum value of the average value of the time delay of getting on the bus and the average value of the time delay of getting off the bus as the time delay of getting on or off the bus on the current road section.
The process of predicting the getting-on passenger flow volume of the current road section and the getting-off passenger flow volume of the current road section comprises the following steps:
acquiring historical data of the passenger flow of getting on and off the bus on the current road section, and performing category division according to five dimensions of working days, non-working days, holidays, good weather and severe weather to construct a sample set and a test set;
and according to the constructed sample and the constructed test set, respectively utilizing the time sequence model and the improved BP neural network model to obtain corresponding information of the passenger flow of getting on or off the vehicle, and then obtaining the predicted value of the passenger flow of getting on the vehicle at the current road section and the predicted value of the passenger flow of getting off the vehicle at the current road section through weighted calculation.
In the process of weighting calculation, the value of the weight is determined according to the site type, wherein the site type comprises a peak site and an off-peak site; the peak station is a station with peak passenger flow more than 3 times of peak passenger flow.
Specifically, the bus boarding and alighting delay time on the road section is predicted, and category division is carried out according to 5 dimensions of working days, non-working days, holidays, good weather and severe weather:
cleaning historical data of the number of passengers on the station, wherein the number of passengers on the station is j dimension of the number of passengers on the station NijoSatisfy the requirement of
And is
Wherein:
gamma is the standard deviation of the number of guests on the site;
the parameter alpha and the parameter beta are determined according to the data quality requirement.
Get-off passenger flow N of i-line j-dimension stationijdThe data cleansing method of (1) refers to the above steps.
According to the historyPredicting N based on weighted calculation using a time series model and an improved BP neural network modelijoAnd Nijd。
With NijoFor the example of the prediction, the prediction is,
wherein N isijoTFor time series model prediction results, NijoBThe prediction result of the BP neural network model is improved.
Parameter(s)
The sum parameter omega is determined according to the station type, peak station parameter
ω<0.5, off-peak site parameter
ω>0.5。
The station type is determined according to the ratio of peak passenger flow to flat passenger flow, the peak passenger flow is more than 3 times of the flat passenger flow, and the station is defined as a peak station.
Wherein N isijdPrediction method reference NijoAnd (6) predicting.
And according to the steps, the passenger flow prediction of getting on and off the bus of the passenger is completed.
And calculating the delay time of getting on and off the bus according to the bus passenger flow to obtain gc. The average time for passengers to get on the vehicle is set as
The average time taken for passengers to get off the vehicle is
And step 3: when the original signal light at the current intersection is a green light, detecting whether a bus exists in the farthest detection distance L of the bus, and if so, entering the step 4; otherwise, jumping to step 5; wherein L ═ G × v; v is the running speed of the bus;
and 4, step 4: the special signal lamp keeps a red light state, when buses in all the bus fleets drive into the current intersection, the remaining passing time Gl of the original signal lamp is calculated according to the straight passing time of the original signal lamp and the time difference value of all the bus fleets passing through the current intersection; if Gl is less than or equal to gc, keeping the red light of the special signal lamp unchanged, and returning to the step 3 as shown in FIG. 3; if Gl > gc, go to step 5.
And 5: the special signal light is changed into a green light, as shown in fig. 4, and the straight social vehicles are allowed to run by means of the bus lane; the green light duration of the special signal light is g, g is Gl-gc, and the special signal light turns into a red light after the green light is finished.
In order to verify the validity of the scheme, a simulation technology is adopted to carry out actual simulation of intersection traffic.
Setting conditions: selecting a phoenix road as a simulation road section, and adopting a signal control mode of coordinated control.
And (3) simulation results: the hourly traffic capacity of the social vehicles is improved by about 15%, and the delay of buses is hardly increased.
The shared bus lane improves the space-time utilization efficiency of the road on the premise of not influencing the normal traffic of the bus.
The method can be embedded into a control center or a signal machine of a traffic police, and real-time calculation is carried out on road conditions and conditions on a road;
the invention realizes information interconnection and cooperative control between the bus and the signal machine, ensures the priority of the bus and improves the passing efficiency of social vehicles.
The invention also provides a dynamic sharing system of the public transport special lane resources based on the Internet of things, which can improve the current traffic jam situation and improve the utilization efficiency of the space-time resources on the road.
Fig. 5 is a schematic structural diagram of a dynamic bus lane resource sharing system based on the internet of things.
As shown in fig. 5, the system for dynamically sharing bus lane resources based on the internet of things of the present invention includes:
the special signal lamp is arranged at the crossing of the screened bus lane and is used for indicating whether the social vehicles can enter the bus lane to run or not; and
the signal lamp controller is respectively connected with the special signal lamp and the original signal lamp and is used for regularly coordinating the signal timing of the line control original signal lamp; and
a resource dynamic sharing processor connected to the signal light controller and configured to perform the steps of:
pre-screening public transportation lanes capable of being dynamically shared, and setting the original signal lamps and the special signal lamps of the intersections to be in a no-pass state when the original signal lamps and the special signal lamps are in red lamps, and setting the green lamps to be in a pass state; setting the signal period and straight-going passing time length of an original signal lamp at the intersection as G; the passing time of the special signal lamp is G, the clearing time threshold of the special signal lamp is gc, wherein gc is not less than G and not more than G; the special signal lamp emptying time threshold gc is equal to the time delay of getting on and off the bus on the current road section;
when the original signal light of the current intersection is green, detecting whether a bus exists in the farthest detection distance L of the bus, if so, entering a special signal light to keep a red light state, and calculating the residual passing time Gl of the original signal light according to the straight passing time of the original signal light and the time difference value of all buses in the bus group passing through the current intersection when the buses in all the bus groups enter the current intersection; if the Gl is less than or equal to gc, keeping the red light of the special signal lamp unchanged, and continuously detecting whether the bus exists in the farthest detection distance L of the bus; if Gl is more than gc, the special signal lamp is changed into green light, and the straight social vehicles are allowed to run by means of the bus lane; the green light duration of the special signal light is g, g is Gl-gc, and the special signal light turns into a red light after the green light of the special signal light is finished; wherein L ═ G × v; v is the running speed of the bus;
if the bus does not exist in the farthest detection distance L of the bus, the special signal lamp is changed into a green lamp, and the straight-going social bus is allowed to run by means of the bus lane; the green light duration of the special signal light is g, g is Gl-gc, and the special signal light turns into a red light after the green light is finished.
Specifically, in the dynamic resource sharing processor, the conditions for pre-screening the bus lanes that can be dynamically shared are as follows:
in the same time period, ηs≥n*ηb，ηb<Tau of which ηsSpace occupancy of social lanes ηbThe space occupancy rate of the bus lane is shown; n is a judgment ratio, the value of which is known; τ is a determination threshold, the value of which is known.
Specifically, in the resource dynamic sharing processor, the calculation process of the time delay of getting on and off the bus on the current road section is as follows:
predicting the getting-on passenger flow volume of the current road section and the getting-off passenger flow volume of the current road section, and respectively calculating the getting-on delay time mean value of the bus and the getting-off delay time mean value of the bus according to the preset average time spent by passengers on the bus and the preset average time spent by passengers on the bus;
and taking the maximum value of the average value of the time delay of getting on the bus and the average value of the time delay of getting off the bus as the time delay of getting on or off the bus on the current road section.
Specifically, in the resource dynamic sharing processor, the process of predicting the getting-on passenger flow volume of the current road section and the getting-off passenger flow volume of the current road section is as follows:
acquiring historical data of the passenger flow of getting on and off the bus on the current road section, and performing category division according to five dimensions of working days, non-working days, holidays, good weather and severe weather to construct a sample set and a test set;
and according to the constructed sample and the constructed test set, respectively utilizing the time sequence model and the improved BP neural network model to obtain corresponding information of the passenger flow of getting on or off the vehicle, and then obtaining the predicted value of the passenger flow of getting on the vehicle at the current road section and the predicted value of the passenger flow of getting off the vehicle at the current road section through weighted calculation.
Specifically, in the dynamic resource sharing processor, in the process of weighting calculation, the value of the weight is determined according to the site type, wherein the site type includes a peak site and an off-peak site; the peak station is a station with peak passenger flow more than 3 times of peak passenger flow.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts by those skilled in the art based on the technical solution of the present invention.
Claims (9)
1. A public transport lane resource dynamic sharing method based on the Internet of things is characterized by comprising the following steps:
step 1: pre-screening a bus lane capable of being dynamically shared, and additionally arranging a special signal lamp for indicating whether social vehicles can enter the bus lane to run at the crossing of the screened bus lane;
setting the original signal lamp and the special signal lamp of the intersection to be in a no-pass state when the original signal lamp and the special signal lamp are in red lamps, and setting the original signal lamp and the special signal lamp of the intersection to be in a pass state when the original signal lamp and the special signal lamp are in green lamps; setting the signal period and straight-going passing time length of an original signal lamp at the intersection as G; the passing time of the special signal lamp is G, the clearing time threshold of the special signal lamp is gc, wherein gc is not less than G and not more than G;
step 2: timing coordination line control is adopted when the original signal lamps of two continuous intersections are additionally provided with special signal lamps, and the clear time threshold gc of the special signal lamps is equal to the time delay of getting on and off buses on the current road section;
and step 3: when the original signal light at the current intersection is a green light, detecting whether a bus exists in the farthest detection distance L of the bus, and if so, entering the step 4; otherwise, jumping to step 5; wherein L ═ G × v; v is the running speed of the bus;
and 4, step 4: the special signal lamp keeps a red light state, when buses in all the bus fleets drive into the current intersection, the remaining passing time Gl of the original signal lamp is calculated according to the straight passing time of the original signal lamp and the time difference value of all the bus fleets passing through the current intersection; if the Gl is less than or equal to gc, keeping the red light of the special signal lamp unchanged, and returning to the step 3; if Gl > gc, go to step 5;
and 5: the special signal lamp is changed into a green lamp, and the straight social vehicles are allowed to run by means of the bus special way; the green light duration of the special signal light is g, g is Gl-gc, and the special signal light turns into a red light after the green light of the special signal light is finished;
in the step 2, the calculation process of the time delay of getting on and off the bus on the current road section is as follows:
predicting the getting-on passenger flow volume of the current road section and the getting-off passenger flow volume of the current road section, and respectively calculating the getting-on delay time mean value of the bus and the getting-off delay time mean value of the bus according to the preset average time spent by passengers on the bus and the preset average time spent by passengers on the bus;
and taking the maximum value of the average value of the time delay of getting on the bus and the average value of the time delay of getting off the bus as the time delay of getting on or off the bus on the current road section.
2. The method for dynamically sharing the resources of the public transport bus lane based on the internet of things as claimed in claim 1, wherein in the step 1, the conditions for pre-screening the dynamically sharable public transport bus lane are as follows:
in the same time period, ηs≥n*ηb，ηb<Tau of which ηsSpace occupancy of social lanes ηbThe space occupancy rate of the bus lane is shown; n is a judgment ratio, the value of which is known; τ is a determination threshold, the value of which is known.
3. The method for dynamically sharing resources of the bus lane based on the internet of things as claimed in claim 2, wherein the process of predicting the getting-on passenger flow volume of the current road section and the getting-off passenger flow volume of the current road section comprises the following steps:
acquiring historical data of the passenger flow of getting on and off the bus on the current road section, and performing category division according to five dimensions of working days, non-working days, holidays, good weather and severe weather to construct a sample set and a test set;
and according to the constructed sample set and the test set, respectively utilizing the time sequence model and the improved BP neural network model to obtain corresponding information of the passenger flow of getting on or off the vehicle, and then obtaining the predicted value of the passenger flow of getting on the vehicle at the current road section and the predicted value of the passenger flow of getting off the vehicle at the current road section through weighted calculation.
4. The method for dynamically sharing resources of the bus lane based on the internet of things as claimed in claim 3, wherein in the process of weighting calculation, the value of the weight is determined according to the types of stations, and the types of the stations include peak stations and off-peak stations; the peak station is a station with peak passenger flow more than 3 times of peak passenger flow.
5. The utility model provides a public transit lane resource dynamic sharing system based on thing networking which characterized in that includes:
the special signal lamp is arranged at the crossing of the screened bus lane and is used for indicating whether the social vehicles can enter the bus lane to run or not; and
the signal lamp controller is respectively connected with the special signal lamp and the original signal lamp and is used for regularly coordinating the signal timing of the line control original signal lamp; and
a resource dynamic sharing processor connected to the signal light controller and configured to perform the steps of:
pre-screening public transportation lanes capable of being dynamically shared, and setting the original signal lamps and the special signal lamps of the intersections to be in a no-pass state when the original signal lamps and the special signal lamps are in red lamps, and setting the green lamps to be in a pass state; setting the signal period and straight-going passing time length of an original signal lamp at the intersection as G; the passing time of the special signal lamp is G, the clearing time threshold of the special signal lamp is gc, wherein gc is not less than G and not more than G; the special signal lamp emptying time threshold gc is equal to the time delay of getting on and off the bus on the current road section;
when the original signal light of the current intersection is green, detecting whether a bus exists in the farthest detection distance L of the bus, if so, entering a special signal light to keep a red light state, and calculating the residual passing time Gl of the original signal light according to the straight passing time of the original signal light and the time difference value of all buses in the bus group passing through the current intersection when the buses in all the bus groups enter the current intersection; if the Gl is less than or equal to gc, keeping the red light of the special signal lamp unchanged, and continuously detecting whether the bus exists in the farthest detection distance L of the bus; if Gl is more than gc, the special signal lamp is changed into green light, and the straight social vehicles are allowed to run by means of the bus lane; the green light duration of the special signal light is g, g is Gl-gc, and the special signal light turns into a red light after the green light of the special signal light is finished; wherein L ═ G × v; v is the running speed of the bus;
if the bus does not exist in the farthest detection distance L of the bus, the special signal lamp is changed into a green lamp, and the straight-going social bus is allowed to run by means of the bus lane; the green light duration of the special signal light is g, g is Gl-gc, and the special signal light turns into a red light after the green light is finished.
6. The internet-of-things-based dynamic bus lane resource sharing system according to claim 5, wherein in the dynamic resource sharing processor, the conditions for pre-screening the dynamically sharable bus lanes are as follows:
in the same time period, ηs≥n*ηb，ηb<Tau of which ηsSpace occupancy of social lanes ηbThe space occupancy rate of the bus lane is shown; n is a judgment ratio, the value of which is known; τ is a determination threshold, the value of which is known.
7. The system for dynamically sharing resources of the bus lane based on the internet of things as claimed in claim 5, wherein in the resource dynamic sharing processor, the calculation process of the time delay of getting on and off the bus on the current road section is as follows:
predicting the getting-on passenger flow volume of the current road section and the getting-off passenger flow volume of the current road section, and respectively calculating the getting-on delay time mean value of the bus and the getting-off delay time mean value of the bus according to the preset average time spent by passengers on the bus and the preset average time spent by passengers on the bus;
and taking the maximum value of the average value of the time delay of getting on the bus and the average value of the time delay of getting off the bus as the time delay of getting on or off the bus on the current road section.
8. The internet-of-things-based dynamic bus lane resource sharing system as claimed in claim 7, wherein in the dynamic resource sharing processor, the process of predicting the getting-on passenger flow volume of the current road section and the getting-off passenger flow volume of the current road section is as follows:
acquiring historical data of the passenger flow of getting on and off the bus on the current road section, and performing category division according to five dimensions of working days, non-working days, holidays, good weather and severe weather to construct a sample set and a test set;
and according to the constructed sample set and the test set, respectively utilizing the time sequence model and the improved BP neural network model to obtain corresponding information of the passenger flow of getting on or off the vehicle, and then obtaining the predicted value of the passenger flow of getting on the vehicle at the current road section and the predicted value of the passenger flow of getting off the vehicle at the current road section through weighted calculation.
9. The system of claim 8, wherein in the dynamic resource sharing processor, in the process of weighting calculation, the value of the weight is determined according to the station types, and the station types include peak stations and off-peak stations; the peak station is a station with peak passenger flow more than 3 times of peak passenger flow.
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| CN110232829B (en) * | 2019-06-11 | 2020-07-28 | 浙江工业大学 | Signal control method for dynamically sharing bus-only entrance lane at intersection |
| CN110517513B (en) * | 2019-08-22 | 2021-10-26 | 上海电气集团智能交通科技有限公司 | Dynamic road right system and control method thereof |
| CN111223298B (en) * | 2020-01-17 | 2021-09-28 | 重庆市城投金卡信息产业(集团)股份有限公司 | Method and system for controlling bus lane borrowing |
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