CN113299088A - Regional multi-directional green wave design and driving speed guiding method based on Internet of vehicles - Google Patents
Regional multi-directional green wave design and driving speed guiding method based on Internet of vehicles Download PDFInfo
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Abstract
The invention discloses a regional multidirectional green wave design and driving speed guiding method based on an internet of vehicles, which comprises the steps of obtaining geometric parameters and traffic parameters of a road section with multidirectional green wave design requirements; constructing an optimization model taking multidirectional green wave bandwidth weighted sum as a target, adjusting a signal phase structure, determining green wave weight, solving the optimization model, and optimizing traffic flow with multidirectional cycle and phase difference to form green waves; and adjusting signal control parameters of the real road network according to an optimization result of the optimization model, calculating the driving speed according to the optimized travel time, and issuing corresponding speed induction information to traffic flows with different driving directions of a certain road section through road side equipment. The method takes the intersection pair with the green wave requirement as a basic modeling object, can perform green wave optimization design on any intersection pair in any shape road network, and the green wave created by the optimization model can provide green waves for traffic flow in any direction of the intersection pair.
Description
Technical Field
The invention relates to the field of intelligent traffic safety control, in particular to a regional multidirectional green wave design and driving speed guiding method based on the Internet of vehicles.
Background
With the rapid development of social economy, the demand of people on transportation is remarkably improved. The operational efficiency and load-bearing capacity of such urban transportation systems pose significant challenges. The vehicle networking technology based on the wireless communication technology provides a strong technical support for the development of an urban intelligent traffic system and plays an important role in the daily operation of the traffic system. By utilizing the vehicle networking technology based on the vehicle-mounted equipment and the road side equipment (V2I), efficient and reliable data exchange between vehicles and infrastructure can be realized, more accurate and detailed traffic guidance control is realized, and the operating efficiency of an urban road network is improved. The green wave signal coordination control is a signal control mode which is most widely applied at present, and the principle is as follows: by adjusting the signal control parameters, a green wave passing condition is created for the target vehicle, so that the target vehicle can pass through the intersection continuously without stopping in a green wave band, the stopping times are effectively reduced, and the overall passing efficiency of the main line traffic system is improved. The most main problem of the existing green wave design method is that green waves can be provided for traffic flows in partial directions only, and traffic flows outside the optimized directions are not considered. In practice, the directions in which the optimization can be achieved are often only a few.
Disclosure of Invention
The technical problem to be solved by the invention is to overcome the defects of the prior art and provide a regional multi-direction green wave design and driving speed guiding method based on the internet of vehicles.
The invention adopts the following technical scheme for solving the technical problems:
the invention provides a regional multidirectional green wave design and driving speed guiding method based on an internet of vehicles, which comprises the following steps:
step 1, acquiring geometric parameters and traffic parameters of a road section with multi-directional green wave design requirements;
step 2, constructing an optimization model taking the multi-direction green wave bandwidth weighted sum as a target according to the geometric parameters and traffic parameters of the road section, adjusting a signal phase structure of the intersection, determining green wave weight, and solving the optimization model to obtain the optimized intersection signal period, phase difference, signal phase sequence and vehicle running speed, wherein the optimization model forms green waves for multi-direction traffic flows;
and 3, adjusting signal control parameters of the real road network according to the intersection signal period, the signal phase sequence and the phase difference solved by the optimization model, and issuing corresponding vehicle running speeds to traffic flows with different running directions on the green wave optimized road section through road side equipment.
As a further optimization scheme of the regional multi-direction green wave design and driving speed guiding method based on the Internet of vehicles, the geometric parameters of the road section obtained in the step 1 comprise intersection intervals, and the traffic parameters comprise upper and lower limits of vehicle driving speed, upper and lower limits of intersection signal phase periods, lengths of all phases, flow in all directions and adjacent intersection pairs with green wave requirements.
As a further optimization scheme of the regional multidirectional green wave design and driving speed guiding method based on the Internet of vehicles, the constraint of the optimization model in the step 2 comprises the following steps: and the intersection pair is subjected to mutual constraint, in-period constraint, driving time constraint, green wave bandwidth upper and lower limit constraint and signal period upper and lower limit constraint.
As a further optimization scheme of the regional multi-directional green wave design and driving speed guiding method based on the Internet of vehicles, the step 2 of adjusting the intersection signal phase structure refers to the following steps: and setting all intersection phase schemes with green wave requirements as single-inlet release.
As a further optimization scheme of the regional multidirectional green wave design and driving speed guiding method based on the Internet of vehicles, the objective of the optimization model in the step 2 is represented as follows:
wherein, E is the optimization target of the optimization model, k and h are intersection numbers, i and j are uplink and downlink green wave numbers, bi,(k,h)Andrespectively an upstream direction green wave and a downstream direction green wave between the crossing pair (k, h), an optimization moduleThe upward directions in the model are from west to east and from south to north, s and l respectively represent upward direction straight-going and straight-going left-turning green waves,andrespectively representing direct-going and direct-going left-turning green waves in the downlink direction, and specifying that the direction h from k is the uplink direction;the weight of the ith uplink green wave between the crossing pair (k, h),the weight of the jth downlink green wave between the intersection pair (k, h) is determined according to the traffic flow of the ith uplink green wave between the intersection pair (k, h) and the jth downlink green wave between the intersection pair (k, h), and is in direct proportion to the traffic flow; kpairIs a set of intersection pairs; i KpairAnd | is the size of the intersection pair set.
As a further optimization scheme of the regional multi-direction green wave design and driving speed guiding method based on the Internet of vehicles, the intersection pair mutual constraint in the step 2 is expressed as follows:
wherein, thetakAnd thetahThe phase difference between the kth intersection and the h intersection is obtained; w is ai,(k,h),kAndthe green light duration of the ith uplink direction green wave and the jth downlink direction green wave between the intersection pair (k, h) at the front part of the green wave at the kth intersection respectively; w is ai,(k,h),hAndthe green light duration of the ith uplink direction green wave and the jth downlink direction green wave between the intersection pair (k, h) at the front part of the green wave at the h intersection is respectively; r isi,(k,h),kThe total red light length of the ith uplink green wave between the intersection pair (k, h) at the left side of the green light part at the kth intersection; r isi,(k,h),hThe total red light length of the ith uplink direction green wave between the intersection pair (k, h) at the left side of the green light part at the h-th intersection;the total red light length of the j downlink direction green wave between the intersection pair (k, h) on the right side of the green light part at the k intersection;the total red light length of the j downlink direction green wave between the intersection pair (k, h) on the right side of the green light part at the h intersection; t is ti,(k,h)The travel time from the kth intersection to the h intersection for the ith uplink green wave between the pair of intersections (k, h);the travel time from the kth intersection to the h intersection for the jth downlink green wave between the intersection pair (k, h); n isi,(k,h),kAn integer variable representing an ith upstream green wave between the pair of intersections (k, h) at the kth intersection;an integer variable representing a jth downlink green wave between the pair of intersections (k, h) at the kth intersection; n isi,(k,h),hAn integer variable representing an ith upstream green wave between the pair of intersections (k, h) at the h-th intersection;representative crossingInteger variable of jth downlink green wave between fork pairs (k, h) at the h-th intersection; tau isi,(k,h),hThe initial queuing and emptying time of the ith uplink direction green wave between the intersection pair (k, h) at the h-th intersection is set;the initial queuing and emptying time of the jth downlink direction green wave between the intersection pair (k, h) at the kth intersection is obtained; k is an intersection set.
As a further optimization scheme of the regional multidirectional green wave design and driving speed guiding method based on the Internet of vehicles, the constraint in the period in the step (2) is expressed as follows:
wherein the content of the first and second substances,representing the length of the phase of the green wave which can be obtained at the kth intersection by the ith uplink green wave;representing the length of the phase of the green wave which can be obtained by the ith uplink green wave at the h-th intersection;representing the length of the green wave phase which can be obtained by the jth downlink green wave at the kth intersection;representing the length of the green wave phase which can be obtained by the jth downlink green wave at the h-th intersection;represents a certain phase in the cycle; e.g. of the typefirstRepresenting the first phase of the cycle, ebeforeThe previous phase representing the phase through which the green wave passes, eafterThe latter phase representing the green wave transit phase, elastRepresenting the last phase in the cycle,the total red light length of the ith uplink green wave between the intersection pair (k, h) at the right side of the green light part at the kth intersection,the total red light length of the ith uplink green wave between the intersection pair (k, h) on the right side of the green light part at the h-th intersection; r isj,(k,h),kThe total red light length r of the j downstream green wave between the intersection pair (k, h) at the left side of the green light part at the k intersectionj,(k,h),hThe total red light length to the left of the green light section at the h-th intersection for the jth down direction green wave between the pair of intersections (k, h).
As a further optimization scheme of the regional multi-directional green wave design and driving speed guiding method based on the Internet of vehicles, the driving time constraint in the step 2 is expressed as follows:
wherein L is(k,h)Representing the distance between the kth intersection and the h intersection; v. of(k,h)minAnd v(k,h),maxRepresenting the minimum driving speed and the maximum driving speed allowed between the kth intersection and the h intersection; c represents the uniform period length of all intersections, tj,(k,h)The driving time of the jth downlink green wave between the kth intersection and the h intersection is represented.
As a further optimization scheme of the regional multi-directional green wave design and driving speed guiding method based on the Internet of vehicles, in the step 2, the upper and lower limits of green wave band width and the upper and lower limits of signal period are as follows:
bi,(k,h),min≤bi,(k,h)≤bi,(k,h),max,i∈{s,l},(k,h)∈Kpair
Cmin≤C≤Cmax
wherein, bi,(k,h),minAnd bi,(k,h),maxThe minimum value and the maximum value allowed by the ith uplink green wave between the intersection pair (k, h) are respectively;andthe minimum value and the maximum value allowed by the jth downlink green wave between the intersection pair (k, h) are respectively; cminAnd CmaxRepresenting all allowed period minima and maxima.
Compared with the prior art, the invention adopting the technical scheme has the following technical effects:
the method takes the intersection pair with the green wave requirement as a basic modeling object, can perform green wave optimization design on any intersection pair in any shape road network, and the green wave created by the optimization model can provide green waves for traffic flow in any direction of the intersection pair; compared with the traditional green wave optimization technology which can only provide green waves for traffic flows of specific optimized paths, the method realizes the establishment of multi-direction green waves by resetting the phase structure, has stronger adaptability and can provide green waves for the traffic flows of any paths in a regional road network.
Drawings
FIG. 1 is a flow chart of a method according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of an exemplary regional network in an embodiment of the present invention.
Fig. 3 is a schematic diagram of a signal phase structure according to an embodiment of the present invention.
Fig. 4 is an exemplary green wave space-time diagram in an embodiment of the present invention.
Detailed Description
The invention is explained in detail below with reference to fig. 1, 2, 3 and 4. The present embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation manner and a specific operation process are given, but the scope of the present invention is not limited to the following embodiments.
As shown in fig. 1, a regional multidirectional green wave design and driving speed guidance method based on internet of vehicles is characterized by comprising the following steps:
step 1, acquiring geometric parameters and traffic parameters of a road section with multi-direction green wave design requirements.
Step 2, constructing an optimization model taking the multi-direction green wave bandwidth weighted sum as a target according to the geometric parameters and traffic parameters of the road section, adjusting a signal phase structure of the intersection, determining green wave weight, and solving the optimization model to obtain the optimized intersection signal period, phase difference, signal phase sequence and vehicle running speed, wherein the optimization model forms green waves for multi-direction traffic flows;
specifically, the multidirectional green bandwidth weighted sum is represented as:
wherein, bi,(k,h)Andrespectively an upstream green wave and a downstream green wave between the crossing pair (k, h), s and l respectively represent an upstream straight-going and a straight-going left-turning green wave,andrespectively representing direct-going and direct-going left-turning green waves in the downlink direction, and specifying that the direction h from k is the uplink direction;andthe weights of the corresponding green waves are respectively determined according to the traffic flow of the corresponding green wave service, and are in direct proportion to the traffic flow; kpairIs a set of intersection pairs; i KpairAnd | is the size of the intersection pair set.
The intersection pair mutual constraint is expressed as:
wherein, thetakAnd thetahThe phase difference between the kth intersection and the h intersection is obtained; w is ai,(k,h),kAndare respectively a crossing pair (k, h)The green light duration of the ith uplink green wave and the jth downlink green wave in front of the green wave at the kth intersection is longer; w is ai,(k,h),hAndthe green light duration of the ith uplink direction green wave and the jth downlink direction green wave between the intersection pair (k, h) at the front part of the green wave at the h intersection is respectively; r isi,(k,h),kThe total red light length of the ith uplink green wave between the intersection pair (k, h) at the left side of the green light part at the kth intersection; r isi,(k,h),hThe total red light length of the ith uplink direction green wave between the intersection pair (k, h) at the left side of the green light part at the h-th intersection;the total red light length of the j downlink direction green wave between the intersection pair (k, h) on the right side of the green light part at the k intersection;the total red light length of the j downlink direction green wave between the intersection pair (k, h) on the right side of the green light part at the h intersection; t is ti,(k,h)The travel time from the kth intersection to the h intersection for the ith uplink green wave between the pair of intersections (k, h);the travel time from the kth intersection to the h intersection for the jth downlink green wave between the intersection pair (k, h); n isi,(k,h),kAn integer variable representing an ith upstream green wave between the pair of intersections (k, h) at the kth intersection;an integer variable representing a jth downlink green wave between the pair of intersections (k, h) at the kth intersection; n isi,(k,h),hRepresents the ith upstream green wave between the crossing pair (k, h)Integer variables at the h-th intersection;an integer variable representing the jth downlink green wave between the pair of intersections (k, h) at the ith intersection; tau isi,(k,h),hThe initial queuing and emptying time of the ith uplink direction green wave between the intersection pair (k, h) at the h-th intersection is set;the initial queuing and emptying time of the jth downlink direction green wave between the intersection pair (k, h) at the kth intersection is obtained; k is an intersection set.
The intra-cycle constraint is expressed as:
wherein the content of the first and second substances,representing the length of the phase of the green wave which can be obtained at the kth intersection by the ith uplink green wave;representing the length of the phase of the green wave which can be obtained by the ith uplink green wave at the h-th intersection;representing the length of the green wave phase which can be obtained by the jth downlink green wave at the kth intersection;representing the length of the green wave phase which can be obtained by the jth downlink green wave at the h-th intersection;represents a certain phase in the cycle; e.g. of the typefirstRepresenting the first phase of the cycle, ebeforeThe previous phase representing the phase through which the green wave passes, eafterThe latter phase representing the green wave transit phase, elastRepresenting the last phase in the cycle,the total red light length of the ith uplink green wave between the intersection pair (k, h) at the right side of the green light part at the kth intersection,the total red light length of the ith uplink green wave between the intersection pair (k, h) on the right side of the green light part at the h-th intersection; r isj,(k,h),kThe total red light length r of the j downstream green wave between the intersection pair (k, h) at the left side of the green light part at the k intersectionj,(k,h),hThe total red light length to the left of the green light section at the h-th intersection for the jth down direction green wave between the pair of intersections (k, h).
The travel time constraint is expressed as:
wherein L is(k,h)Representing the distance between the kth intersection and the h intersection; v. of(k,h),minAnd v(k,h),maxRepresenting the minimum driving speed and the maximum driving speed allowed between the kth intersection and the h intersection; c represents the uniform period length of all intersections, tj,(k,h)The driving time of the jth downlink green wave between the kth intersection and the h intersection is represented.
In step 2, the green band width upper and lower limit constraints and the signal period upper and lower limit constraints are:
bi,(k,h),min≤bi,(k,h)≤bi,(k,h),max,i∈{s,l},(k,h)∈Kpair
Cmin≤C≤Cmax
wherein, bi,(k,h),minAnd bi,(k,h),maxThe minimum value and the maximum value allowed by the ith uplink green wave between the intersection pair (k, h) are respectively;andthe minimum value and the maximum value allowed by the jth downlink green wave between the intersection pair (k, h) are respectively; cminAnd CmaxRepresenting all allowed period minima and maxima.
The solution of the mathematical optimization model can utilize the mature commercial libraries and software of Gurobi and Lingo, etc.
And 3, adjusting signal control parameters of the real road network according to an optimization result of the optimization model, calculating the driving speed according to the optimized travel time, and issuing corresponding speed induction information to traffic flows with different driving directions of a certain road section through road side equipment. The parameter adjustment comprises the following contents: signal period, signal phase length and signal phase difference of each intersection.
The embodiments of the present invention are further described below with reference to a specific road network design:
(1) design road network selection
Performing green wave design by taking the following typical road networks at four intersections in sunshine city in Shandong province as objects;
(2) road network geometric parameter survey
The geometric parameters of the road section are shown in figure 2;
(3) road network traffic volume survey
The traffic parameters of the designed road network are investigated in 2019, 9, 25 and the specific collection time interval from 30 minutes at 5 pm to 30 minutes at 6 pm, as shown in the following table 1
TABLE 1 road traffic volume
(4) Phase adjusting structure
Adjusting the phases of all the intersections into single-inlet wheel placement according to the figure 3;
(5) determining green wave weights
Considering that the traffic distribution of a road network is relatively uniform, setting the weight average of green wave weights of all sections to be 1, and setting the minimum width of green wave to be 10 s;
(6) determining upper and lower limits for travel speed and period
According to relevant regulations, determining the upper limit and the lower limit of the travel speed of the road section as 30km/h and 60km/h respectively, and determining the upper limit and the lower limit of the period as 150s and 90s respectively;
(7) solving green wave optimization model
The green wave design is performed by using the original optimization model to obtain the optimized green wave bandwidth, which is shown in the following table 2:
TABLE 2 Green wave Bandwidth optimization results
The signal period and phase difference at each intersection are shown in table 3 below:
TABLE 3 optimization of signal period and phase difference
And the travel speed for each green wave, as shown in table 4 below:
TABLE 4 travel speed optimization results
(8) Green wave parameter adjustment
And (4) adjusting the signal control parameters of the actual road section according to the optimization result in the step (7), and sending the optimized green wave traveling speed to the internet traffic flows in different directions through the road side device. In order to more intuitively show the effect of the green wave band, a space-time green wave map of the road network is drawn, as shown in fig. 4.
The above description is only for the specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention.
Claims (9)
1. A regional multidirectional green wave design and driving speed guiding method based on the Internet of vehicles is characterized by comprising the following steps:
step 1, acquiring geometric parameters and traffic parameters of a road section with multi-directional green wave design requirements;
step 2, constructing an optimization model taking the multi-direction green wave bandwidth weighted sum as a target according to the geometric parameters and traffic parameters of the road section, adjusting a signal phase structure of the intersection, determining green wave weight, and solving the optimization model to obtain the optimized intersection signal period, phase difference, signal phase sequence and vehicle running speed, wherein the optimization model forms green waves for multi-direction traffic flows;
and 3, adjusting signal control parameters of the real road network according to the intersection signal period, the signal phase sequence and the phase difference solved by the optimization model, and issuing corresponding vehicle running speeds to traffic flows with different running directions on the green wave optimized road section through road side equipment.
2. The method for regional multi-directional green wave design and driving speed guidance based on the internet of vehicles according to claim 1, wherein the geometric parameters of the road section obtained in the step 1 comprise intersection distance, and the traffic parameters comprise upper and lower limits of vehicle driving speed, upper and lower limits of intersection signal phase period, lengths and flow rates of each phase and adjacent intersection pairs with green wave requirements.
3. The method for regional multidirectional green wave design and driving speed guidance based on the internet of vehicles according to claim 1, wherein the constraints of the optimization model in the step 2 comprise: and the intersection pair is subjected to mutual constraint, in-period constraint, driving time constraint, green wave bandwidth upper and lower limit constraint and signal period upper and lower limit constraint.
4. The area multidirectional green wave design and driving speed guiding method based on the internet of vehicles according to claim 1, wherein the step 2 of adjusting the intersection signal phase structure is that: and setting all intersection phase schemes with green wave requirements as single-inlet release.
5. The method for regional multidirectional green wave design and driving speed guidance based on the internet of vehicles according to claim 3, wherein the goal of the optimization model in the step 2 is represented as:
wherein, E is the optimization target of the optimization model, k and h are intersection numbers, i and j are uplink and downlink green wave numbers, bi,(k,h)Andrespectively an upstream direction green wave and a downstream direction green wave between the crossing pair (k, h), the upstream direction in the optimization model is from west to east and from south to north, s and l respectively represent an upstream direction straight going and a straight going left turning green wave,andrespectively representing direct-going and direct-going left-turning green waves in the downlink direction, and specifying that the direction h from k is the uplink direction;the weight of the ith uplink green wave between the crossing pair (k, h),the weight of the jth downlink green wave between the intersection pair (k, h) is determined according to the traffic flow of the ith uplink green wave between the intersection pair (k, h) and the jth downlink green wave between the intersection pair (k, h), and is in direct proportion to the traffic flow; kpairIs a set of intersection pairs; i KpairAnd | is the size of the intersection pair set.
6. The method for regional multidirectional green wave design and driving speed guidance based on the Internet of vehicles according to claim 5, wherein the intersection pair mutual constraint in the step 2 is expressed as:
θk+ri,(k,h),k+wi,(k,h),k+ni,(k,h),k+ti,(k,h)=θh+ri,(k,h),h+wi,(k,h),h+ni,(k,h),h+τi,(k,h),h,i∈{s,l},k,h∈K,(k,h)∈Kpair
wherein, thetakAnd thetahThe phase difference between the kth intersection and the h intersection is obtained; w is ai,(k,h),kAndthe green light duration of the ith uplink direction green wave and the jth downlink direction green wave between the intersection pair (k, h) at the front part of the green wave at the kth intersection respectively; w is ai,(k,h),hAndthe green light duration of the ith uplink direction green wave and the jth downlink direction green wave between the intersection pair (k, h) at the front part of the green wave at the h intersection is respectively; r isi,(k,h),kThe total red light length of the ith uplink green wave between the intersection pair (k, h) at the left side of the green light part at the kth intersection; r isi,(k,h),hThe total red light length of the ith uplink direction green wave between the intersection pair (k, h) at the left side of the green light part at the h-th intersection;the total red light length of the j downlink direction green wave between the intersection pair (k, h) on the right side of the green light part at the k intersection;the total red light length of the j downlink direction green wave between the intersection pair (k, h) on the right side of the green light part at the h intersection; t is ti,(k,h)Is the ith ascending line between the crossing pair (k, h)Travel time of direction green wave from the kth intersection to the h intersection;the travel time from the kth intersection to the h intersection for the jth downlink green wave between the intersection pair (k, h); n isi,(k,h),kAn integer variable representing an ith upstream green wave between the pair of intersections (k, h) at the kth intersection;an integer variable representing a jth downlink green wave between the pair of intersections (k, h) at the kth intersection; n isi,(k,h),hAn integer variable representing an ith upstream green wave between the pair of intersections (k, h) at the h-th intersection;an integer variable representing the jth downlink green wave between the pair of intersections (k, h) at the ith intersection; tau isi,(k,h),hThe initial queuing and emptying time of the ith uplink direction green wave between the intersection pair (k, h) at the h-th intersection is set;the initial queuing and emptying time of the jth downlink direction green wave between the intersection pair (k, h) at the kth intersection is obtained; k is an intersection set.
7. The method for regional multidirectional green wave design and driving speed guidance based on Internet of vehicles according to claim 6, wherein the constraint in the period in the step (2) is expressed as:
wherein the content of the first and second substances,representing the length of the phase of the green wave which can be obtained at the kth intersection by the ith uplink green wave;representing the length of the phase of the green wave which can be obtained by the ith uplink green wave at the h-th intersection;representing the length of the green wave phase which can be obtained by the jth downlink green wave at the kth intersection;representing the length of the green wave phase which can be obtained by the jth downlink green wave at the h-th intersection;represents a certain phase in the cycle; e.g. of the typefirstRepresenting the first phase of the cycle, ebeforeThe previous phase representing the phase through which the green wave passes, eafterThe latter phase representing the green wave transit phase, elastRepresenting the last phase in the cycle,the total red light length of the ith uplink green wave between the intersection pair (k, h) at the right side of the green light part at the kth intersection,the total red light length of the ith uplink green wave between the intersection pair (k, h) on the right side of the green light part at the h-th intersection; r isj,(k,h),kThe total red light length r of the j downstream green wave between the intersection pair (k, h) at the left side of the green light part at the k intersectionj,(k,h),hThe total red light length to the left of the green light section at the h-th intersection for the jth down direction green wave between the pair of intersections (k, h).
8. The method for regional multidirectional green wave design and driving speed guidance based on the internet of vehicles according to claim 7, wherein the driving time constraint in the step 2 is expressed as:
wherein L is(k,h)Representing the distance between the kth intersection and the h intersection; v. of(k,h),minAnd v(k,h),maxRepresenting the minimum driving speed and the maximum driving speed allowed between the kth intersection and the h intersection; c represents the uniform period length of all intersections,tj,(k,h)the driving time of the jth downlink green wave between the kth intersection and the h intersection is represented.
9. The area multidirectional green wave design and driving speed guiding method based on the internet of vehicles according to claim 8, wherein the green wave band width upper and lower limit constraints and the signal period upper and lower limit constraints in step 2 are as follows:
bi,(k,h),min≤bi,(k,h)≤bi,(k,h),max,i∈{s,l},(k,h)∈Kpair
Cmin≤C≤Cmax
wherein, bi,(k,h),minAnd bi,(k,h),maxThe minimum value and the maximum value allowed by the ith uplink green wave between the intersection pair (k, h) are respectively;andthe minimum value and the maximum value allowed by the jth downlink green wave between the intersection pair (k, h) are respectively; cminAnd CmaxRepresenting all allowed period minima and maxima.
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113851010A (en) * | 2021-10-11 | 2021-12-28 | 武汉理工大学 | Non-linear path green wave control method, device, equipment and storage medium |
CN114043983A (en) * | 2021-11-30 | 2022-02-15 | 浙江亚太机电股份有限公司 | Green wave band passing speed control system based on vehicle networking system TBOX |
CN115240443A (en) * | 2022-05-12 | 2022-10-25 | 浙江大华技术股份有限公司 | Bidirectional green wave coordination control method and device, electronic equipment and storage medium |
CN115691172A (en) * | 2022-10-26 | 2023-02-03 | 山东理工大学 | Group chain type anti-blocking control phase difference optimization method for strong-association intersection in high load state |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104091456A (en) * | 2014-06-13 | 2014-10-08 | 东南大学 | Traffic guidance and signal control cooperative system and method under green wave control condition |
WO2018184413A1 (en) * | 2017-04-07 | 2018-10-11 | 孟卫平 | Green wave control method for traffic signals |
CN109544929A (en) * | 2018-12-14 | 2019-03-29 | 华南理工大学 | A kind of control of vehicle low-carbon and abductive approach, system, equipment and storage medium based on big data |
CN110085037A (en) * | 2019-03-25 | 2019-08-02 | 合肥工业大学 | Integrative design intersection and speed guide system under a kind of bus or train route cooperative surroundings |
CN111081041A (en) * | 2019-12-13 | 2020-04-28 | 连云港杰瑞电子有限公司 | Traffic flow direction-oriented region coordination control method |
-
2021
- 2021-05-06 CN CN202110490332.2A patent/CN113299088B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104091456A (en) * | 2014-06-13 | 2014-10-08 | 东南大学 | Traffic guidance and signal control cooperative system and method under green wave control condition |
WO2018184413A1 (en) * | 2017-04-07 | 2018-10-11 | 孟卫平 | Green wave control method for traffic signals |
CN109544929A (en) * | 2018-12-14 | 2019-03-29 | 华南理工大学 | A kind of control of vehicle low-carbon and abductive approach, system, equipment and storage medium based on big data |
CN110085037A (en) * | 2019-03-25 | 2019-08-02 | 合肥工业大学 | Integrative design intersection and speed guide system under a kind of bus or train route cooperative surroundings |
CN111081041A (en) * | 2019-12-13 | 2020-04-28 | 连云港杰瑞电子有限公司 | Traffic flow direction-oriented region coordination control method |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113851010A (en) * | 2021-10-11 | 2021-12-28 | 武汉理工大学 | Non-linear path green wave control method, device, equipment and storage medium |
CN114043983A (en) * | 2021-11-30 | 2022-02-15 | 浙江亚太机电股份有限公司 | Green wave band passing speed control system based on vehicle networking system TBOX |
CN115240443A (en) * | 2022-05-12 | 2022-10-25 | 浙江大华技术股份有限公司 | Bidirectional green wave coordination control method and device, electronic equipment and storage medium |
CN115691172A (en) * | 2022-10-26 | 2023-02-03 | 山东理工大学 | Group chain type anti-blocking control phase difference optimization method for strong-association intersection in high load state |
CN115691172B (en) * | 2022-10-26 | 2024-04-26 | 山东理工大学 | Chain type anti-blocking control phase difference optimization method for high-load state strong-correlation intersection group |
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