CN109544928A - A kind of signalized intersections evaluation method based on entropy assessment - Google Patents
A kind of signalized intersections evaluation method based on entropy assessment Download PDFInfo
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Abstract
The signalized intersections evaluation method based on entropy assessment that the invention discloses a kind of.The present invention includes step by manual counts acquisition intersection static information, passes through video analysis method and obtains vehicle multidate information;Calculate the saturation volume in crossing inlet lane, the intersection saturation degree in intersection signal period, the intersection delay in intersection signal period and the intersection queue length in intersection signal period;Intersection comprehensive score is calculated, is used to evaluate the service level of intersection according to intersection comprehensive score;The present invention is using intersection traffic data and combines entropy assessment, carries out scientific and reasonable evaluation to the service state of signalized intersections, improves the accuracy and timeliness of evaluation result.
Description
Technical field
The invention belongs to city signal intersection evaluation technical fields, and in particular to a kind of signal cross based on entropy assessment
Mouth evaluation method.
Background technique
Signalized intersections are to be interacted, influenced each other by many factors, mutually restricting complicated comprehensive of lower one formed
Close traffic system.Due to the rapid growth of the volume of traffic, more and more intersections highlight the bottleneck effect of urban transportation,
Intersection it is unimpeded whether key effect is played to the operational efficiency of entire road network.
At this stage, it mostly uses single index to carry out qualitative evaluation to signalized intersections service state, lacks comprehensive multiple friendships
Prong traffic behavior evaluation index carries out quantitative assessment to signalized intersections, leads to evaluation result inaccuracy, the boundary of traffic behavior
It limits unintelligible;Lack the consideration to intersection otherness and the time difference opposite sex, such as each evaluation when evaluating intersection
Index weight shared in the appraisement system of different intersections is variant, the service of the same intersection peak period peace peak phase
State is variant.
Currently, entropy assessment is used widely in fields such as engineering technology, economic societies, its basic ideas are bases
The size of index variability (phase difference) determines objective weight.Therefore, comprehensive multiple intersection traffic state evaluation indexs, are used
Entropy assessment determines that each index in the weight of specified intersection, calculates intersection unlike signal week based on intersection vehicles multidate information
The precise score of phase, this has certain positive effect and effect for preferably managing urban road, promoting urban development.
Summary of the invention
In order to overcome the above-mentioned problems of the prior art, the invention proposes a kind of signalized intersections based on entropy assessment
Evaluation method.
The purpose of the present invention can be achieved through the following technical solutions:
A kind of signalized intersections evaluation method based on entropy assessment, comprising the following steps:
Step 1: obtaining intersection static information by manual counts, vehicle dynamic is obtained by video analysis method and is believed
Breath;
Step 2: calculating the saturation volume in crossing inlet lane, the intersection saturation degree in intersection signal period, intersect
The mouth intersection delay of signal period and the intersection queue length in intersection signal period;
Step 3: calculating intersection comprehensive score, be used to evaluate the service level of intersection according to intersection comprehensive score;
Preferably, intersection static information described in step 1 are as follows:
K-th of crossing inlet lane quantity is nk, k-th of intersection i-th import lane lane width be Wk,i, kth
The lane longitudinal slope in the import lane of a intersection i-th is Gk,i, k-th affiliated signal phase in import lane of intersection i-th it is green
Letter is than being λk,i, k-th of intersection, i-th affiliated signal phase in import lane red time tk,i, k ∈ [1, m], i ∈ [1,
nk], m is intersection quantity, nkFor the import lane quantity of k-th of intersection;
Vehicle multidate information described in step 1 are as follows:
The actual flow V in k-th of p-th of intersection signal period i-th import lanek,p,i, p-th of k-th intersection
The vehicle total delay D in i-th import lane of signal periodk,p,i, k-th p-th of intersection signal period i-th import lane
The queue length L in import lane when green light opens brightk,p,i, k ∈ [1, m], p ∈ [1, q], i ∈ [1, nk], m is intersection quantity, q
For the quantity of signal period, nkFor the import lane quantity of k-th of intersection;
Preferably, the saturation volume of crossing inlet lane described in step 2 is k-th of imported car of intersection i-th
The saturation volume Q in roadk,iAre as follows:
Qk,i=QO·fW,k,i·fG,k,i
fG,k,i=1-0.5Gk,i
Wherein, QOFor base saturation flow, fW,k,iSystem is corrected for the lane width in k-th of intersection i-th import lane
Number, fG,k,iFor the lane grade correction coefficient in k-th of intersection i-th import lane, Wk,iFor k-th of import of intersection i-th
The lane in lane is wide, Gk,iFor the lane longitudinal slope in k-th of intersection i-th import lane, m is intersection quantity, nkIt is k-th
The import lane quantity of intersection;
The intersection saturation degree of intersection signal period described in step 2 is the full of k-th intersection, p-th signal period
With degree Sk,pAre as follows:
Sk,p,i=Vk,p,i/CAPk,i
CAPk,i=Qk,i·λk,i
Wherein, Sk,p,iFor the saturation degree in k-th of intersection, p-th of signal period, i-th import lane, Vk,p,iIt is k-th
The actual flow in p-th of signal period of intersection, i-th import lane, CAPk,iFor k-th of import lane institute of intersection i-th
Belong to the traffic capacity, Qk,iFor the saturation volume in k-th of intersection, i-th import lane, λk,iFor k-th of import of intersection i-th
The split of the affiliated signal phase in lane, m are intersection quantity, and q is the quantity of signal period, nkFor k-th intersection into
Mouth lane quantity;
The intersection delay of intersection signal period described in step 2 is the delay of p-th of signal period of k-th of intersection
Dk,pAre as follows:
Wherein, Dk,p,iFor the vehicle total delay in k-th of p-th of intersection signal period i-th import lane, tk,iFor kth
The red time of the i-th affiliated signal phase in import lane in a intersection, Vk,p,iFor p-th of signal period i-th of k-th of intersection
The actual flow in import lane, Qk,iFor the saturation volume in k-th of intersection, i-th import lane, q is the number of signal period
Amount, nkFor the import lane quantity of k-th of intersection;
The intersection queue length of intersection signal period described in step 2 is p-th of signal period of k-th of intersection
Queue length Lk,pAre as follows:
Wherein, Lk,p,iImport lane when opening bright for k-th of intersection i-th, p-th of import lane signal period green light
Queue length, nkFor import lane quantity;
Preferably, intersection comprehensive score described in step 3 is the synthesis of p-th of signal period of k-th of intersection
Score Pk,p:
Pk,p=α1·PS,k,p+α2·PD,k,p+α3·PL,k,p
Wherein, PS,k,pFor the corresponding rating fraction of saturation degree of p-th of signal period of k-th of intersection, PD,k,pFor kth
The corresponding rating fraction of delay of p-th of signal period of a intersection, PL,k,pFor the row of p-th of signal period of k-th of intersection
Team leader's degree Lk,pCorresponding rating fraction, α1For the weight of intersection saturation degree, α2For the weight of intersection delay, α3For intersection
The weight of queue length;
It is S according to the saturation degree of p-th of signal period of k-th of intersectionk,p, k-th intersection p-th signal period
Delay is Dk,p, p-th of signal period of k-th of intersection queue length be Lk,p, α is calculated with entropy assessment1、α2、α3;
Establish PS,k,p、PD,k,p、PL,k,pRegression equation with one unknown:
PS,k,p=β1·Sk,p+γ1
PD,k,p=β2·Dk,p+γ2
PL,k,p=β3·Lk,p+γ3
Wherein, β1For the proportionality coefficient of intersection saturation degree, β2For the proportionality coefficient of intersection delay, β3For intersection row
The proportionality coefficient of team leader's degree, γ1For the deviation ratio of intersection saturation degree, γ2For the deviation ratio of intersection delay, γ3To hand over
The deviation ratio of prong queue length;
According to intersection comprehensive score P described in step 3k,pFor evaluating the service level of intersection:
According to the comprehensive score P of p-th of signal period of k-th of intersectionk,p, more same signal period difference intersection
Service level and the service level of same intersection different moments;Comprehensive score is higher, shows that intersection service level is got over
Height, i.e., intersection resource utilization is higher and vehicle pass-through is more unobstructed.
Compared with prior art, the invention has the following advantages that
Evaluation result inaccuracy, comprehensively considers in intersection service level appraisement system caused by avoiding because of index unicity
Three principal parameters: saturation degree, delay, queue length, promoted intersection evaluation result accuracy.
The difference for considering each evaluation index shared weight in different intersection evaluation systems, according to specific intersection
Evaluation index determines corresponding intersection evaluation formula;The difference for considering intersection unlike signal cycle service level, passes through
Video analysis data, obtains different moments intersection service state, and timeliness is strong.
It assigns each grade of each index specific score, finally obtains signalized intersections scoring, compared to qualitative analysis, accurately
Property it is higher, the comparison of intersection service state between different intersections, between the different periods of intersection is distincter.
Detailed description of the invention
Fig. 1: the method for the present invention flow chart
Fig. 2: the method for the present invention detail flowchart.
Specific embodiment
Understand for the ease of those of ordinary skill in the art and implement the present invention, with reference to the accompanying drawings and embodiments to this hair
It is bright to be described in further detail, it should be understood that implementation example described herein is merely to illustrate and explain the present invention, not
For limiting the present invention.
The present invention is using Wuhan City's Construction Road and young road signalized intersections as the intersection in embodiment.It ties below
It closes Fig. 1 and Fig. 2 and introduces embodiments of the present invention, comprising the following steps:
Step 1: obtaining intersection static information by manual counts, vehicle dynamic is obtained by video analysis method and is believed
Breath;
Intersection static information described in step 1 are as follows:
K-th of crossing inlet lane quantity is nk, k-th of intersection i-th import lane lane width be Wk,i, kth
The lane longitudinal slope in the import lane of a intersection i-th is Gk,i, k-th affiliated signal phase in import lane of intersection i-th it is green
Letter is than being λk,i, k-th of intersection, i-th affiliated signal phase in import lane red time tk,i, k ∈ [1, m], i ∈ [1,
nk], m=1 is intersection quantity, nk=15 be the import lane quantity of k-th of intersection;
Vehicle multidate information described in step 1 are as follows:
The actual flow V in k-th of p-th of intersection signal period i-th import lanek,p,i, p-th of k-th intersection
The vehicle total delay D in i-th import lane of signal periodk,p,i, k-th p-th of intersection signal period i-th import lane
The queue length L in import lane when green light opens brightk,p,i, k ∈ [1, m], p ∈ [1, q], i ∈ [1, nk], m=1 is intersection number
Amount, q=20 are the quantity of signal period, nk=15 be the import lane quantity of k-th of intersection;
Step 2: calculating the saturation volume in crossing inlet lane, the intersection saturation degree in intersection signal period, intersect
The mouth intersection delay of signal period and the intersection queue length in intersection signal period;
The saturation volume of crossing inlet lane described in step 2 is the saturated flow in k-th of intersection, i-th import lane
Measure Qk,iAre as follows:
Qk,i=QO·fW,k,i·fG,k,i
fG,k,i=1-0.5Gk,i
Wherein, QO=1900pcu/h is base saturation flow, fW,k,iFor the lane in k-th of intersection, i-th import lane
Width calibration coefficient, fG,k,iFor the lane grade correction coefficient in k-th of intersection i-th import lane, Wk,iIntersect for k-th
The lane in i-th import lane of mouth is wide, Gk,iFor the lane longitudinal slope in k-th of intersection i-th import lane, m=1 is intersection
Quantity, nk=15 be the import lane quantity of k-th of intersection;
The intersection saturation degree of intersection signal period described in step 2 is the full of k-th intersection, p-th signal period
With degree Sk,pAre as follows:
Sk,p,i=Vk,p,i/CAPk,i
CAPk,i=Qk,i·λk,i
Wherein, Sk,p,iFor the saturation degree in k-th of intersection, p-th of signal period, i-th import lane, Vk,p,iIt is k-th
The actual flow in p-th of signal period of intersection, i-th import lane, CAPk,iFor k-th of import lane institute of intersection i-th
Belong to the traffic capacity, Qk,iFor the saturation volume in k-th of intersection, i-th import lane, λk,iFor k-th of import of intersection i-th
The split of the affiliated signal phase in lane, m=1 are intersection quantity, and q=20 is the quantity of signal period, nk=15 be k-th
The import lane quantity of intersection;
The intersection delay of intersection signal period described in step 2 is the delay of p-th of signal period of k-th of intersection
Dk,pAre as follows:
Wherein, Dk,p,iFor the vehicle total delay in k-th of p-th of intersection signal period i-th import lane, tk,iFor kth
The red time of the i-th affiliated signal phase in import lane in a intersection, Vk,p,iFor p-th of signal period i-th of k-th of intersection
The actual flow in import lane, Qk,iFor the saturation volume in k-th of intersection, i-th import lane, m=1 is intersection number
Amount, q=20 are the quantity of signal period, nk=15 be the import lane quantity of k-th of intersection;
The intersection queue length of intersection signal period described in step 2 is p-th of signal period of k-th of intersection
Queue length Lk,pAre as follows:
Wherein, Lk,p,iImport lane when opening bright for k-th of intersection i-th, p-th of import lane signal period green light
Queue length, nk=15 be import lane quantity;
Step 3: calculating intersection comprehensive score, be used to evaluate the service level of intersection according to intersection comprehensive score;
Intersection comprehensive score described in step 3 is the comprehensive score P of p-th of signal period of k-th of intersectionk,p:
Pk,p=α1·PS,k,p+α2·PD,k,p+α3·PL,k,p
Wherein, PS,k,pFor the corresponding rating fraction of saturation degree of p-th of signal period of k-th of intersection, PD,k,pFor kth
The corresponding rating fraction of delay of p-th of signal period of a intersection, PL,k,pFor the row of p-th of signal period of k-th of intersection
Team leader's degree Lk,pCorresponding rating fraction, α1=0.48 is the weight of intersection saturation degree, α2=0.37 is the power of intersection delay
Weight, α3=0.15 is the weight of intersection queue length;
It is S according to the saturation degree of p-th of signal period of k-th of intersectionk,p, k-th intersection p-th signal period
Delay is Dk,p, p-th of signal period of k-th of intersection queue length be Lk,p, α is calculated with entropy assessment1、α2、α3;
Establish PS,k,p、PD,k,p、PL,k,pRegression equation with one unknown:
PS,k,p=β1·Sk,p+γ1
PD,k,p=β2·Dk,p+γ2
PL,k,p=β3·Lk,p+γ3
Wherein, β1=-99 be the proportionality coefficient of intersection saturation degree, β2=-1 is the proportionality coefficient of intersection delay, β3
=-0.7 is the proportionality coefficient of intersection queue length, γ1=151 be the deviation ratio of intersection saturation degree, γ2=110 be friendship
The deviation ratio of prong delay, γ3=112 be the deviation ratio of intersection queue length;
According to intersection comprehensive score P described in step 3k,pFor evaluating the service level of intersection:
According to the comprehensive score P of p-th of signal period of k-th of intersectionk,p, more same signal period difference intersection
Service level and the service level of same intersection different moments;Comprehensive score is higher, shows that intersection service level is got over
Height, i.e., intersection resource utilization is higher and vehicle pass-through is more unobstructed.
Specific implementation case described herein only illustrates that spirit of the invention.Technology belonging to the present invention
The technical staff in field can do various modifications or additions to described specific implementation case or use similar side
Formula substitution, however, it does not deviate from the spirit of the invention or beyond the scope of the appended claims.
Claims (4)
1. a kind of signalized intersections evaluation method based on entropy assessment, which comprises the following steps:
Step 1: obtaining intersection static information by manual counts, vehicle multidate information is obtained by video analysis method;
Step 2: calculating the saturation volume in crossing inlet lane, the intersection saturation degree in intersection signal period, intersect message
Number intersection delay in period and the intersection queue length in intersection signal period;
Step 3: calculating intersection comprehensive score, be used to evaluate the service level of intersection according to intersection comprehensive score.
2. the signalized intersections evaluation method according to claim 1 based on entropy assessment, it is characterised in that:
Intersection static information described in step 1 are as follows:
K-th of crossing inlet lane quantity is nk, k-th of intersection i-th import lane lane width be Wk,i, k-th friendship
The lane longitudinal slope in i-th import lane of prong is Gk,i, k-th of intersection, i-th affiliated signal phase in import lane split
For λk,i, k-th of intersection, i-th affiliated signal phase in import lane red time tk,i, k ∈ [1, m], i ∈ [1, nk], m
For intersection quantity, nkFor the import lane quantity of k-th of intersection;
Vehicle multidate information described in step 1 are as follows:
The actual flow V in k-th of p-th of intersection signal period i-th import lanek,p,i, k-th of p-th of intersection signal
The vehicle total delay D in i-th import lane of periodk,p,i, k-th of intersection, p-th of signal period, i-th import lane green light
The queue length L in import lane when opening brightk,p,i, k ∈ [1, m], p ∈ [1, q], i ∈ [1, nk], m is intersection quantity, and q is letter
The quantity in number period, nkFor the import lane quantity of k-th of intersection.
3. the signalized intersections evaluation method according to claim 1 based on entropy assessment, it is characterised in that:
The saturation volume of crossing inlet lane described in step 2 is the saturation volume in k-th of intersection, i-th import lane
Qk,iAre as follows:
Qk,i=QO·fW,k,i·fG,k,i
fG,k,i=1-0.5Gk,i
Wherein, QOFor base saturation flow, fW,k,iFor the lane width correction coefficient in k-th of intersection i-th import lane,
fG,k,iFor the lane grade correction coefficient in k-th of intersection i-th import lane, Wk,iFor k-th of imported car of intersection i-th
The lane in road is wide, Gk,iFor the lane longitudinal slope in k-th of intersection i-th import lane, m is intersection quantity, nkIt is handed over for k-th
The import lane quantity of prong;
The intersection saturation degree of intersection signal period described in step 2 is the saturation degree of p-th of signal period of k-th of intersection
Sk,pAre as follows:
Sk,p,i=Vk,p,i/CAPk,i
CAPk,i=Qk,i·λk,i
Wherein, Sk,p,iFor the saturation degree in k-th of intersection, p-th of signal period, i-th import lane, Vk,p,iIntersect for k-th
The actual flow in mouth p-th of signal period, i-th import lane, CAPk,iTo lead to belonging to the import lane of k-th of intersection i-th
Row ability, Qk,iFor the saturation volume in k-th of intersection, i-th import lane, λk,iFor k-th of intersection i-th import lane
The split of affiliated signal phase, m are intersection quantity, and q is the quantity of signal period, nkFor the imported car of k-th of intersection
Road quantity;
The intersection delay of intersection signal period described in step 2 is the delay D of p-th of signal period of k-th of intersectionk,p
Are as follows:
Wherein, Dk,p,iFor the vehicle total delay in k-th of p-th of intersection signal period i-th import lane, tk,iIt is handed over for k-th
The red time of i-th affiliated signal phase in import lane of prong, Vk,p,iFor k-th of p-th of intersection signal period i-th into
The actual flow in mouth lane, Qk,iFor the saturation volume in k-th of intersection, i-th import lane, q is the quantity of signal period, nk
For the import lane quantity of k-th of intersection;
The intersection queue length of intersection signal period described in step 2 is the queuing of p-th of signal period of k-th of intersection
Length Lk,pAre as follows:
Wherein, Lk,p,iThe queuing in import lane when opening bright for k-th of intersection i-th, p-th of import lane signal period green light
Length, nkFor import lane quantity.
4. the signalized intersections evaluation method according to claim 1 based on entropy assessment, it is characterised in that:
Intersection comprehensive score described in step 3 is the comprehensive score P of p-th of signal period of k-th of intersectionk,p:
Pk,p=α1·PS,k,p+α2·PD,k,p+α3·PL,k,p
Wherein, PS,k,pFor the corresponding rating fraction of saturation degree of p-th of signal period of k-th of intersection, PD,k,pIntersect for k-th
The corresponding rating fraction of delay of p-th of signal period of mouth, PL,k,pFor the queue length of p-th of signal period of k-th of intersection
Lk,pCorresponding rating fraction, α1For the weight of intersection saturation degree, α2For the weight of intersection delay, α3It is lined up and grows for intersection
The weight of degree;
It is S according to the saturation degree of p-th of signal period of k-th of intersectionk,p, p-th of signal period of k-th of intersection delay
For Dk,p, p-th of signal period of k-th of intersection queue length be Lk,p, α is calculated with entropy assessment1、α2、α3;
Establish PS,k,p、PD,k,p、PL,k,pRegression equation with one unknown:
PS,k,p=β1·Sk,p+γ1
PD,k,p=β2·Dk,p+γ2
PL,k,p=β3·Lk,p+γ3
Wherein, β1For the proportionality coefficient of intersection saturation degree, β2For the proportionality coefficient of intersection delay, β3It is lined up and grows for intersection
The proportionality coefficient of degree, γ1For the deviation ratio of intersection saturation degree, γ2For the deviation ratio of intersection delay, γ3For intersection
The deviation ratio of queue length;
According to intersection comprehensive score P described in step 3k,pFor evaluating the service level of intersection:
According to the comprehensive score P of p-th of signal period of k-th of intersectionk,p, the clothes of more same signal period difference intersection
Business level and the service level of same intersection different moments;Comprehensive score is higher, shows that intersection service level is higher, i.e.,
Intersection resource utilization is higher and vehicle pass-through is more unobstructed.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110634308A (en) * | 2019-09-26 | 2019-12-31 | 同济大学 | Single-intersection signal control method based on vehicle queuing dissipation time |
CN116052422A (en) * | 2023-01-30 | 2023-05-02 | 浙江警察学院 | Comprehensive permeability detection method and system for road intersection |
CN117475640A (en) * | 2023-12-26 | 2024-01-30 | 中国市政工程华北设计研究总院有限公司 | Signal intersection operation evaluation method based on radar fusion detection |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101339698A (en) * | 2008-08-12 | 2009-01-07 | 北京工业大学 | Correction method of bicycle influencing turning vehicle saturation flow rate at signal crossing |
CN101976510A (en) * | 2010-10-26 | 2011-02-16 | 隋亚刚 | Method for optimally controlling crossing vehicle signal under high definition video detection condition |
CN102005125A (en) * | 2010-12-10 | 2011-04-06 | 东南大学 | Discharging method of vehicles passing intersection and related design method and control system |
CN102157065A (en) * | 2011-05-26 | 2011-08-17 | 东南大学 | Design method of signal intersection provided with straight-through type bus special entrance lane |
CN103810869A (en) * | 2014-02-27 | 2014-05-21 | 北京建筑大学 | Intersection signal control method based on dynamic steering proportion estimation |
-
2018
- 2018-12-12 CN CN201811518426.0A patent/CN109544928A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101339698A (en) * | 2008-08-12 | 2009-01-07 | 北京工业大学 | Correction method of bicycle influencing turning vehicle saturation flow rate at signal crossing |
CN101976510A (en) * | 2010-10-26 | 2011-02-16 | 隋亚刚 | Method for optimally controlling crossing vehicle signal under high definition video detection condition |
CN102005125A (en) * | 2010-12-10 | 2011-04-06 | 东南大学 | Discharging method of vehicles passing intersection and related design method and control system |
CN102157065A (en) * | 2011-05-26 | 2011-08-17 | 东南大学 | Design method of signal intersection provided with straight-through type bus special entrance lane |
CN103810869A (en) * | 2014-02-27 | 2014-05-21 | 北京建筑大学 | Intersection signal control method based on dynamic steering proportion estimation |
Non-Patent Citations (1)
Title |
---|
谭振超 等: "基于熵权的道路交通状态模糊综合评判模型", 《交通科学与工程》 * |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110634308A (en) * | 2019-09-26 | 2019-12-31 | 同济大学 | Single-intersection signal control method based on vehicle queuing dissipation time |
CN116052422A (en) * | 2023-01-30 | 2023-05-02 | 浙江警察学院 | Comprehensive permeability detection method and system for road intersection |
CN116052422B (en) * | 2023-01-30 | 2023-11-17 | 浙江警察学院 | Comprehensive permeability detection method and system for road intersection |
CN117475640A (en) * | 2023-12-26 | 2024-01-30 | 中国市政工程华北设计研究总院有限公司 | Signal intersection operation evaluation method based on radar fusion detection |
CN117475640B (en) * | 2023-12-26 | 2024-03-15 | 中国市政工程华北设计研究总院有限公司 | Signal intersection operation evaluation method based on radar fusion detection |
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