CN114202933A - Intersection signal control efficiency evaluation method based on intersection electric alarm data - Google Patents

Intersection signal control efficiency evaluation method based on intersection electric alarm data Download PDF

Info

Publication number
CN114202933A
CN114202933A CN202111497060.5A CN202111497060A CN114202933A CN 114202933 A CN114202933 A CN 114202933A CN 202111497060 A CN202111497060 A CN 202111497060A CN 114202933 A CN114202933 A CN 114202933A
Authority
CN
China
Prior art keywords
intersection
saturation
index
efficiency
signal
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202111497060.5A
Other languages
Chinese (zh)
Other versions
CN114202933B (en
Inventor
郑美
徐俊杰
左宏伟
张来付
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hefei Anhui Software Co ltd
Original Assignee
Hefei Anhui Software Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hefei Anhui Software Co ltd filed Critical Hefei Anhui Software Co ltd
Priority to CN202111497060.5A priority Critical patent/CN114202933B/en
Publication of CN114202933A publication Critical patent/CN114202933A/en
Application granted granted Critical
Publication of CN114202933B publication Critical patent/CN114202933B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/065Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125Traffic data processing

Abstract

The invention discloses an intersection signal control efficiency evaluation method based on intersection electric warning data, and relates to the technical field of intelligent traffic signal optimization. The invention comprises the following steps: calculating the utilization rate of the green light of each phase through the vehicle passing data and the signal control scheme data; quantitatively measuring the matching balance between the green information ratio corresponding to each steering of the intersection and the flow; calculating the saturation of the intersection to quantitatively measure the matching degree between the overall green light time and the actual intersection requirement of the intersection; different weights are designed for each index to quantitatively measure intersection signal timing efficiency. According to the intersection signal efficiency evaluation method, a set of intersection diagnosis and evaluation model is established through intersection electric alarm data, intersection signal control scheme data and corresponding real-time state data, and finally a most direct intersection signal efficiency evaluation index is output to comprehensively evaluate the intersection signal control effect, so that the intersection signal efficiency index is simplified uniformly, and the intersection signal evaluation accuracy is improved.

Description

Intersection signal control efficiency evaluation method based on intersection electric alarm data
Technical Field
The invention belongs to the technical field of intelligent traffic signal optimization, and particularly relates to an intersection signal control efficiency evaluation method based on intersection electric warning data.
Background
The signal optimization is closely related to the diagnosis and evaluation of the intersection, the traffic signal control is the most direct channel for adjusting urban traffic, and the scientific and reasonable signal control scheme can effectively improve the traffic operation efficiency and is the most economical and practical blockage relieving measure. The 2016 ministry of public security publishes an 'intelligent working scheme for promoting urban road traffic signal timing', and further promotes the improvement and optimization work of traffic signal control all over the country. The invention designs the comprehensive evaluation index of the intersection by combining various comprehensive indexes of the intersection, combining data and video, continuously analyzing and summarizing, and diagnosing and evaluating the road condition and the signal control effect of the intersection in a concise way.
Disclosure of Invention
The invention aims to provide an intersection signal control efficiency evaluation method based on intersection electric alarm data, which establishes a set of intersection diagnosis and evaluation model through the intersection electric alarm data, the intersection signal control scheme data and the corresponding real-time state data, and finally outputs a most direct intersection signal efficiency evaluation index to comprehensively evaluate the intersection signal control effect, thereby solving the problems of excessive and over-dispersed intersection evaluation indexes of the existing intersections.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the invention relates to an intersection signal control efficiency evaluation method based on intersection electric alarm data, which comprises the following steps:
step S1: calculating the red light starting time and the green light starting time of each lane at the intersection by using vehicle passing data and signal control scheme data accurate to millisecond level, then counting the number of vehicles passing in each green light phase on each lane, and further calculating the green light utilization rate of each phase;
step S2: defining an intersection saturation degree balance coefficient index to quantitatively measure the matching balance between the green information ratio and the flow of each steering corresponding to the intersection;
step S3: calculating the saturation X of the intersectioncThe matching degree between the overall green light time and the actual intersection requirement of the intersection is quantitatively measured;
step S4: based on green light utilization rate U and intersection saturation balance coefficient SbAnd intersection saturation XcDifferent weights are designed for each index to quantitatively measure the efficiency of intersection signal timing.
As a preferable technical solution, in the step S1, the green light utilization rate indicates a ratio of a green light time when the vehicle passes through the stop line to a total time of the street lamps obtained by the steering in a time interval, that is:
Figure BDA0003401115350000021
in the formula ,tBy usingIndicating the time length of the street lamp required by the vehicle of each lane to pass in the time; t is tGreenIndicating the total green light duration acquired by the steering in the period of time;
wherein ,
Figure BDA0003401115350000022
in the formula ,
Figure BDA0003401115350000023
representing the average passing number of the steered lanes in the time period;
Figure BDA0003401115350000024
representing the average headway;
Figure BDA0003401115350000025
street lamp capable of representing primary phaseTime; n represents the number of green light delivery times over a period of time.
As a preferable technical solution, in the step S2, the intersection saturation equalization coefficient SbThe variance of the traffic signal control intersection turning saturation and the intersection saturation is represented by the following calculation formula:
Figure BDA0003401115350000031
in the formula ,XiRepresenting real-time saturation over a period of time for a turn; m represents the number of turns at the intersection; xCRepresenting the real-time average saturation of the intersection within a period of time;
the intersection saturation degree equalization coefficient index is a numerical value establishment equal proportional relation between an intersection saturation degree equalization coefficient and an index value [0,10 ]; the proportional relationship is as follows:
if the intersection saturation degree equalization coefficient range is (0, 0.01), the intersection saturation degree equalization coefficient index is (0, 2);
if the intersection saturation degree equalization coefficient range is (0.01, 0.04), the intersection saturation degree equalization coefficient index is (2, 5);
if the intersection saturation degree equalization coefficient range is (0.04, 0.125), the intersection saturation degree equalization coefficient index is (5, 8);
and if the intersection saturation equalization coefficient is larger than 0.125, the intersection saturation equalization coefficient index is (8, 10).
As a preferred technical solution, said XiDividing the sum of the flow of the ith steering all lanes by the traffic capacity of the steering all lanes, wherein the specific formula is as follows:
Figure BDA0003401115350000032
in the formula, the real-time hourly flow of all lanes of the steering is obtained by converting the current time period flow of each lane into the hourly flow.
As a preferable technical means, the aboveIn step S3, the intersection saturation XcCalculating the average inlet saturation by adopting flow weighting, wherein the specific calculation formula is as follows:
Figure BDA0003401115350000041
in the formula ,XiSaturation for each entrance; qiThe flow rate of each inlet port; n is the number of branches of the intersection.
As a preferable technical solution, in the step S4, the index includes a green light utilization rate U and an intersection saturation balance coefficient SbAnd intersection saturation XcThe values of the three indexes are normalized into an intersection green light utilization rate index U*Average saturation index at intersection
Figure BDA0003401115350000042
Intersection saturation balance coefficient index
Figure BDA0003401115350000043
Then, the signal efficiency index E is obtained by averaging:
Figure BDA0003401115350000044
wherein E represents the intersection signal efficiency index, U*Indicating an intersection green light interest rate index;
Figure BDA0003401115350000045
representing the average saturation of the intersection;
Figure BDA0003401115350000046
representing an intersection saturation balance coefficient index;
the value range of the signal efficiency index E is [0,10], and the evaluation relationship between the index and the intersection signal efficiency is as follows:
if the value range of the signal efficiency index is [0,2], indicating that the signal efficiency grade is high in efficiency;
if the value range of the signal efficiency index is (2,5), indicating that the signal efficiency grade is general efficiency;
if the value range of the signal efficiency index is (5, 7), indicating that the signal efficiency grade is low in efficiency;
if the value range of the signal efficiency index is (7, 10), the signal efficiency grade is extremely low in efficiency.
The invention has the following beneficial effects:
according to the intersection signal efficiency evaluation method, a set of intersection diagnosis and evaluation model is established through intersection electric alarm data, intersection signal control scheme data and corresponding real-time state data, and finally a most direct intersection signal efficiency evaluation index is output to comprehensively evaluate the intersection signal control effect, so that the intersection signal efficiency index is simplified uniformly, and the intersection signal evaluation accuracy is improved.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flow chart of an intersection signal control efficiency evaluation method based on intersection electric alarm data according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention is a method for evaluating intersection signal control efficiency based on intersection electric alarm data, comprising the following steps:
step S1: calculating the red light starting time and the green light starting time of each lane at the intersection by using vehicle passing data and signal control scheme data accurate to millisecond level, then counting the number of vehicles passing in each green light phase on each lane, and further calculating the green light utilization rate of each phase;
step S2: defining an intersection saturation degree balance coefficient index to quantitatively measure the matching balance between the green information ratio and the flow of each steering corresponding to the intersection;
step S3: calculating the saturation X of the intersectioncThe matching degree between the overall green light time and the actual intersection requirement of the intersection is quantitatively measured;
step S4: based on green light utilization rate U and intersection saturation balance coefficient SbAnd intersection saturation XcDifferent weights are designed for each index to quantitatively measure the efficiency of intersection signal timing.
In step S1, the green light utilization rate indicates that, within 15min, the green light time when the vehicle passes through the stop line accounts for the proportion of the total time of the street lamp acquired by the steering within the time interval, that is:
Figure BDA0003401115350000061
in the formula ,tBy usingIndicating the street lamp time length required by the vehicle to pass through each lane within 15min, wherein the unit is second; t is tGreenRepresenting the total green light duration acquired by the steering within the current 15 min;
wherein ,
Figure BDA0003401115350000062
in the formula ,
Figure BDA0003401115350000063
represents the average number of vehicles passing through the lane steered in 15minAn amount;
Figure BDA0003401115350000064
representing the average headway;
Figure BDA0003401115350000065
a street light time representing a primary phase; n represents the number of green light delivery times over a period of time.
In step S2, the intersection saturation equalization coefficient SbThe variance of the traffic signal control intersection turning saturation and the intersection saturation is represented by the following calculation formula:
Figure BDA0003401115350000066
in the formula ,XiRepresenting real-time saturation over a period of time for a turn; m represents the number of turns at the intersection; xCRepresenting the average saturation of the intersection in 15min in real time and the saturation equilibrium coefficient S of the intersectionbThe matching degree of the intersection control scheme and the traffic flow distribution characteristics is reflected, and the smaller the value of the intersection control scheme is, the better the intersection control scheme is;
the intersection saturation balance coefficient index is a value establishing equal proportional relation between the intersection saturation balance coefficient and the index value [0,10 ]; the proportional relationship is as follows:
as described in table 1 below, if the intersection saturation equalization coefficient range is (0,0.01], the intersection saturation equalization coefficient index is (0, 2);
if the intersection saturation degree equalization coefficient range is (0.01, 0.04), the intersection saturation degree equalization coefficient index is (2, 5);
if the intersection saturation degree equalization coefficient range is (0.04, 0.125), the intersection saturation degree equalization coefficient index is (5, 8);
and if the intersection saturation equalization coefficient is larger than 0.125, the intersection saturation equalization coefficient index is (8, 10).
Saturation equalization coefficient (0,0.01] (0.01,0.04] (0.04,0.125] >0.125
Index of refraction (0,2) (2,5) (5,8) (8,10)
TABLE 1 table of equal proportional relationship between saturation balance coefficient and index value
wherein ,XiDividing the sum of the flow of the ith steering all lanes by the traffic capacity of the steering all lanes, wherein the specific formula is as follows:
Figure BDA0003401115350000071
in the formula, the real-time hourly flow of all lanes of the steering is obtained by converting the current 15min flow of each lane into the hourly flow.
As shown in table 2 below, in step S3, the intersection saturation reflects the degree of balance between all phases of traffic supply and demand; the real-time intersection saturation of the intersection is saturation data calculated based on 15min traffic data of the intersection, and the intersection saturation XcCalculating the average inlet saturation by adopting flow weighting, wherein the specific calculation formula is as follows:
Figure BDA0003401115350000081
in the formula ,XiSaturation for each entrance; qiThe flow rate of each inlet port; n is the number of branches of the intersection, and if the road conditions of the three branches are satisfied, n is 3; at a four-way intersection, n is 4.
Range of saturation [0,0.5] (0.5,0.85] (0.85,1.0] >1.0
State of saturation Undersaturation Moderate saturation Severe saturation Oversaturation
TABLE 2 table of correspondence between saturation range and saturation state
In the following table 3, in step S4, the indexes include the green light utilization rate U and the intersection saturation balance coefficient SbAnd intersection saturation XcThe values of the three indexes are normalized into an intersection green light utilization rate index U*Average saturation index at intersection
Figure BDA0003401115350000082
Crossing saturation balance coefficientIndex of refraction
Figure BDA0003401115350000083
Then, the signal efficiency index E is obtained by averaging:
Figure BDA0003401115350000084
wherein E represents the intersection signal efficiency index, U*Indicating an intersection green light interest rate index;
Figure BDA0003401115350000085
representing the average saturation of the intersection;
Figure BDA0003401115350000086
representing an intersection saturation balance coefficient index;
the value range of the signal efficiency index E is [0,10], and the evaluation relationship between the index and the intersection signal efficiency is as follows:
if the value range of the signal efficiency index is [0,2], indicating that the signal efficiency grade is high in efficiency;
if the value range of the signal efficiency index is (2,5), indicating that the signal efficiency grade is general efficiency;
if the value range of the signal efficiency index is (5, 7), indicating that the signal efficiency grade is low in efficiency;
if the value range of the signal efficiency index is (7, 10), the signal efficiency grade is extremely low in efficiency.
Index of signal efficiency [0,2] (2,5] (5,7] (7,10]
Signal efficiency level High efficiency Efficiency is general Low efficiency Very low efficiency
TABLE 3 corresponding relationship table between index and crossing signal efficiency evaluation relationship
It should be noted that, in the above system embodiment, each included unit is only divided according to functional logic, but is not limited to the above division as long as the corresponding function can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
In addition, it is understood by those skilled in the art that all or part of the steps in the method for implementing the embodiments described above may be implemented by a program instructing associated hardware, and the corresponding program may be stored in a computer-readable storage medium.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims (6)

1. A crossing signal control efficiency evaluation method based on crossing electric alarm data is characterized by comprising the following steps:
step S1: calculating the red light starting time and the green light starting time of each lane at the intersection by using vehicle passing data and signal control scheme data accurate to millisecond level, then counting the number of vehicles passing in each green light phase on each lane, and further calculating the green light utilization rate of each phase;
step S2: defining an intersection saturation degree balance coefficient index to quantitatively measure the matching balance between the green information ratio and the flow of each steering corresponding to the intersection;
step S3: calculating the saturation X of the intersectioncThe matching degree between the overall green light time and the actual intersection requirement of the intersection is quantitatively measured;
step S4: based on green light utilization rate U and intersection saturation balance coefficient SbAnd intersection saturation XcDifferent weights are designed for each index to quantitatively measure the efficiency of intersection signal timing.
2. The method as claimed in claim 1, wherein in step S1, the green light utilization rate indicates a ratio of a green light time when the vehicle passes through a stop line to a total street light time obtained by the steering in a time interval, that is:
Figure FDA0003401115340000011
in the formula ,tBy usingIndicating the time length of the street lamp required by the vehicle of each lane to pass in the time; t is tGreenIndicating the total green light duration acquired by the steering in the period of time;
wherein ,
Figure FDA0003401115340000012
in the formula ,
Figure FDA0003401115340000013
representing the average passing number of the steered lanes in the time period;
Figure FDA0003401115340000014
representing the average headway;
Figure FDA0003401115340000015
a street light time representing a primary phase; n represents the number of green light delivery times over a period of time.
3. The method for evaluating the intersection signal control efficiency based on the intersection electric alarm data according to claim 1, wherein in the step S2, an intersection saturation degree balance coefficient SbThe variance of the traffic signal control intersection turning saturation and the intersection saturation is represented by the following calculation formula:
Figure FDA0003401115340000021
in the formula ,XiRepresenting real-time saturation over a period of time for a turn; m represents the number of turns at the intersection; xCRepresenting the real-time average saturation of the intersection within a period of time;
the intersection saturation degree equalization coefficient index is a numerical value establishment equal proportional relation between an intersection saturation degree equalization coefficient and an index value [0,10 ]; the proportional relationship is as follows:
if the intersection saturation degree equalization coefficient range is (0, 0.01), the intersection saturation degree equalization coefficient index is (0, 2);
if the intersection saturation degree equalization coefficient range is (0.01, 0.04), the intersection saturation degree equalization coefficient index is (2, 5);
if the intersection saturation degree equalization coefficient range is (0.04, 0.125), the intersection saturation degree equalization coefficient index is (5, 8);
and if the intersection saturation equalization coefficient is larger than 0.125, the intersection saturation equalization coefficient index is (8, 10).
4. The intersection signal control efficiency evaluation method based on intersection electric alarm data as claimed in claim 3, wherein X isiDividing the sum of the flow of the ith steering all lanes by the traffic capacity of the steering all lanes, wherein the specific formula is as follows:
Figure FDA0003401115340000022
in the formula, the real-time hourly flow of all lanes of the steering is obtained by converting the current time period flow of each lane into the hourly flow.
5. The method for evaluating the efficiency of controlling intersection signals based on the electrical alarm data at the intersection as claimed in claim 1, wherein in the step S3, the saturation X of the intersection iscCalculating the average inlet saturation by adopting flow weighting, wherein the specific calculation formula is as follows:
Figure FDA0003401115340000031
in the formula ,XiSaturation for each entrance; qiThe flow rate of each inlet port; n is the number of branches of the intersection.
6. The method for evaluating the intersection signal control efficiency based on the intersection electric warning data as claimed in claim 1, wherein the indicators in the step S4 include a green light utilization rate U and an intersection saturation balance coefficient SbAnd intersection saturation XcThe values of the three indexes are normalized into an intersection green light utilization rate index U*Average saturation index at intersection
Figure FDA0003401115340000032
Intersection saturation balance coefficient index
Figure FDA0003401115340000033
Then, the signal efficiency index E is obtained by averaging:
Figure FDA0003401115340000034
wherein E represents the intersection signal efficiency index, U*Indicating an intersection green light interest rate index;
Figure FDA0003401115340000035
representing the average saturation of the intersection;
Figure FDA0003401115340000036
representing an intersection saturation balance coefficient index;
the value range of the signal efficiency index E is [0,10], and the evaluation relationship between the index and the intersection signal efficiency is as follows:
if the value range of the signal efficiency index is [0,2], indicating that the signal efficiency grade is high in efficiency;
if the value range of the signal efficiency index is (2,5), indicating that the signal efficiency grade is general efficiency;
if the value range of the signal efficiency index is (5, 7), indicating that the signal efficiency grade is low in efficiency;
if the value range of the signal efficiency index is (7, 10), the signal efficiency grade is extremely low in efficiency.
CN202111497060.5A 2021-12-09 2021-12-09 Intersection signal control efficiency evaluation method based on intersection electric alarm data Active CN114202933B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111497060.5A CN114202933B (en) 2021-12-09 2021-12-09 Intersection signal control efficiency evaluation method based on intersection electric alarm data

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111497060.5A CN114202933B (en) 2021-12-09 2021-12-09 Intersection signal control efficiency evaluation method based on intersection electric alarm data

Publications (2)

Publication Number Publication Date
CN114202933A true CN114202933A (en) 2022-03-18
CN114202933B CN114202933B (en) 2023-10-27

Family

ID=80651489

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111497060.5A Active CN114202933B (en) 2021-12-09 2021-12-09 Intersection signal control efficiency evaluation method based on intersection electric alarm data

Country Status (1)

Country Link
CN (1) CN114202933B (en)

Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140375475A1 (en) * 2012-01-10 2014-12-25 Massachusetts Institute Of Technology Traffic signal control method and traffic signal controller
CN104575034A (en) * 2015-01-19 2015-04-29 浙江大学 Single-point intersection signal timing parameter optimization method based on bayonet data
CN105070056A (en) * 2015-07-23 2015-11-18 合肥革绿信息科技有限公司 Intersection traffic congestion index calculation method based on floating car
CN106683442A (en) * 2016-12-28 2017-05-17 安徽科力信息产业有限责任公司 Multi-index based intersection signal timing plan evaluation method
CN106803347A (en) * 2017-03-28 2017-06-06 东南大学 Urban intersection traffic state judging method based on RFID data
CN107331169A (en) * 2017-09-01 2017-11-07 山东创飞客交通科技有限公司 Urban road intersection signal time distributing conception evaluation method and system under saturation state
CN107331170A (en) * 2017-09-01 2017-11-07 山东创飞客交通科技有限公司 The intersection signal timing evaluation method and system of time is lost based on green light
CN108470461A (en) * 2018-03-27 2018-08-31 北京航空航天大学 A kind of traffic signal control control effect on-line evaluation method and system
CN109087507A (en) * 2018-08-29 2018-12-25 公安部交通管理科学研究所 A kind of road traffic signal single-point control Benefit Evaluation Method
CN109360432A (en) * 2018-11-27 2019-02-19 南京航空航天大学 A kind of control method of the multi-intersection based on delay minimum and saturation degree equilibrium
CN109816977A (en) * 2019-01-25 2019-05-28 同济大学 A kind of integrative design intersection evaluation system of data-driven
CN110766940A (en) * 2019-09-24 2020-02-07 重庆交通大学 Method for evaluating running condition of road signalized intersection
CN112802326A (en) * 2019-11-13 2021-05-14 北京百度网讯科技有限公司 Traffic scheme control method and device
WO2021189668A1 (en) * 2020-03-27 2021-09-30 江苏智通交通科技有限公司 Queue dissipation time-based intersection traffic signal scheme optimization method
CN113593223A (en) * 2021-07-13 2021-11-02 同济大学 Scene target oriented traffic control efficiency evaluation method

Patent Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140375475A1 (en) * 2012-01-10 2014-12-25 Massachusetts Institute Of Technology Traffic signal control method and traffic signal controller
CN104575034A (en) * 2015-01-19 2015-04-29 浙江大学 Single-point intersection signal timing parameter optimization method based on bayonet data
CN105070056A (en) * 2015-07-23 2015-11-18 合肥革绿信息科技有限公司 Intersection traffic congestion index calculation method based on floating car
CN106683442A (en) * 2016-12-28 2017-05-17 安徽科力信息产业有限责任公司 Multi-index based intersection signal timing plan evaluation method
CN106803347A (en) * 2017-03-28 2017-06-06 东南大学 Urban intersection traffic state judging method based on RFID data
CN107331169A (en) * 2017-09-01 2017-11-07 山东创飞客交通科技有限公司 Urban road intersection signal time distributing conception evaluation method and system under saturation state
CN107331170A (en) * 2017-09-01 2017-11-07 山东创飞客交通科技有限公司 The intersection signal timing evaluation method and system of time is lost based on green light
CN108470461A (en) * 2018-03-27 2018-08-31 北京航空航天大学 A kind of traffic signal control control effect on-line evaluation method and system
CN109087507A (en) * 2018-08-29 2018-12-25 公安部交通管理科学研究所 A kind of road traffic signal single-point control Benefit Evaluation Method
CN109360432A (en) * 2018-11-27 2019-02-19 南京航空航天大学 A kind of control method of the multi-intersection based on delay minimum and saturation degree equilibrium
CN109816977A (en) * 2019-01-25 2019-05-28 同济大学 A kind of integrative design intersection evaluation system of data-driven
CN110766940A (en) * 2019-09-24 2020-02-07 重庆交通大学 Method for evaluating running condition of road signalized intersection
CN112802326A (en) * 2019-11-13 2021-05-14 北京百度网讯科技有限公司 Traffic scheme control method and device
WO2021189668A1 (en) * 2020-03-27 2021-09-30 江苏智通交通科技有限公司 Queue dissipation time-based intersection traffic signal scheme optimization method
CN113593223A (en) * 2021-07-13 2021-11-02 同济大学 Scene target oriented traffic control efficiency evaluation method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
屈新明;姚红云;王玉刚;胡伟;: "基于有效绿灯时间利用率的自适应控制策略研究", 交通运输研究, no. 01, pages 55 *

Also Published As

Publication number Publication date
CN114202933B (en) 2023-10-27

Similar Documents

Publication Publication Date Title
CN106781499B (en) Traffic network efficiency evaluation system
US20180261082A1 (en) Method and device for processing traffic road information
CN103258436B (en) Method for determining length of variable guide lane for signal control intersection approach
CN102306450B (en) Layout method for traffic detectors of sparse road network
CN109872544A (en) A kind of control method and device of traffic signals
CN111681433B (en) Intersection traffic signal lamp timing optimization method and device
CN106875699A (en) A kind of traffic control optimization method and device
CN108335496B (en) City-level traffic signal optimization method and system
WO2020083399A1 (en) Coordination trunk line planning method and configuration system based on traffic flow data
CN105405293A (en) Short-term prediction method of road travel time and system
CN103050005A (en) Method and system for space and time analysis of urban road traffic states
CN100501795C (en) A dynamic road status information collection method for associated road segments of intersection
CN111968370B (en) Intelligent variable lane sensing system and method for microwave radar
CN107038864B (en) A kind of crossing inlet guided vehicle road setting reasonability sentences method for distinguishing
CN100533475C (en) Traffic signal off-line time distribution optimizing method basedon particle group operation method
CN111341095A (en) Traffic signal control system and method based on edge side online calculation
KR20140028801A (en) Prediction of urban congestion using its based data
CN109147329A (en) Regional traffic operating status index based on the traffic capacity calculates and method for visualizing
CN109410574A (en) A kind of timing parameter optimization method towards stage-phase signal control program
CN108171998A (en) A kind of crossing self-adapting traffic signal control system and its method of work based on the alert data of electricity
CN105118290A (en) Intersection induction signal control system and method based on RFID vehicle-borne electronic tag
CN109166313A (en) A kind of spilling method for early warning according to car data excessively
CN106683442A (en) Multi-index based intersection signal timing plan evaluation method
Kolosz et al. Extending cost–benefit analysis for the sustainability impact of inter-urban Intelligent Transport Systems
CN109272760B (en) Online detection method for abnormal data value of SCATS system detector

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant