CN106023602B - Mountainous City signalized intersections delay estimation method - Google Patents

Mountainous City signalized intersections delay estimation method Download PDF

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Publication number
CN106023602B
CN106023602B CN201610420346.6A CN201610420346A CN106023602B CN 106023602 B CN106023602 B CN 106023602B CN 201610420346 A CN201610420346 A CN 201610420346A CN 106023602 B CN106023602 B CN 106023602B
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msub
vehicle
signalized intersections
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CN106023602A (en
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张惠玲
敖谷昌
尹宝计
杨林玉
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Chongqing Jiaotong University
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Chongqing Jiaotong University
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/07—Controlling traffic signals
    • G08G1/075—Ramp control

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  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention discloses a kind of Mountainous City signalized intersections delay estimation method, comprise the following steps：S1 determines the Mountainous City signalized intersections entrance driveway average gradient gradient；S2 determines Mountainous City signalized intersections entrance driveway saturation volume；S3 determines Mountainous City signalized intersections entrance driveway stop line vehicle average overall travel speed nearby；S4 determines Mountainous City signalized intersections entrance driveway stop line vehicle arriving rate；S5 utilizes Mountainous City signalized intersections entrance driveway saturation volume and vehicle arriving rate, calculates the vehicle cycle mean delay of Mountainous City signalized intersections.Compared with existing computational methods, this method is high in Mountainous City strong applicability, computational accuracy, can be used in evaluating signalized crossing service level and optimizes signal time distributing conception.The defects of present invention compensate for not taking the influence of the entrance driveway gradient into account in traditional delay estimation method, there is closing to reality, high reliability, the signal time distributing conception especially suitable for newly-built intersection designs.

Description

Mountainous City signalized intersections delay estimation method
Technical field
The invention belongs to traffic signalization field, and in particular to a kind of Mountainous City signalized intersections cycle delay obtains Take method.
Background technology
Mountainous City is with a varied topography changeable, and road relies on landform to build more, causes a large amount of put down in the road of Mountainous City be present Curve and frequently climb and fall.Even in some intersections, because landform limits, between different entrance driveway longitudinal slope value difference away from Larger, respective traffic noise prediction has larger gap naturally.And bottleneck of the intersection as urban highway traffic, its traffic fortune Row situation directly affects the quality of traffic trip.Delay is matched somebody with somebody as evaluation signalized crossing service level and optimization signal When scheme important parameter, traffic design and Traffic Evaluation are all had a major impact.
So-called delay, refer to the index that vehicle is obstructed on signalized crossing, running time loses, it directly reflects Vehicle emission person passes through the loss of time of intersection.But delay is also a parameter for being difficult to obtain simultaneously.It is common Delay acquisition methods are broadly divided into two classes：Field observation method and theoretical model computational methods.Field observation method can be more smart True acquisition intersection parking delay value, but with sample size is low, cost is high, labor intensity is big, later data processing workload The defects of big, it is impossible in real time, obtain to all the period of time intersection delay value, therefore cannot be used for the real-time optimization of signal timing dial.
The content of the invention
In view of this, it is an object of the invention to provide a kind of Mountainous City signalized intersections delay estimation method.
The purpose of the present invention realized by such technical scheme, a kind of Mountainous City signalized intersections delay estimation Method, comprise the following steps：
S1 determines the Mountainous City signalized intersections entrance driveway average gradient gradient；S2 determines that Mountainous City signalized intersections enter Mouth road saturation volume；S3 determines Mountainous City signalized intersections entrance driveway stop line vehicle average overall travel speed nearby；S4 is determined Mountainous City signalized intersections entrance driveway stop line vehicle arriving rate；S5 utilizes Mountainous City signalized intersections entrance driveway saturated flow Amount and vehicle arriving rate, calculate the vehicle cycle mean delay of Mountainous City signalized intersections.
Further, the Mountainous City signalized intersections include built intersection and newly-built intersection.
Further, the entrance driveway saturation volume of the built intersection is obtained by field survey saturation headway.
Signalized intersections delay estimation method in Mountainous City according to claim 3, it is characterised in that：It is described newly-built The entrance driveway saturation volume preparation method of intersection with：The saturation volume under different gradient is calculated, obtains import in Mountainous City The calculated relationship of road saturation volume and road grade.
Further, nearby vehicle average overall travel speed passes through field survey vehicle to the built crossing inlet road stop line Speed data calculates.
Further, nearby vehicle average overall travel speed obtains the newly-built crossing inlet road stop line by the following method Take：Car speed and the relation function of road grade are determined, passes through section gradient upstream and downstream section car speed where intersection Calculate average overall travel speed.
Further, the vehicle arriving rate obtains by the following method：
Calculate the vehicle arriving rate λ of zero gradient section section0, vehicle travelled to the entrance driveway stop line of intersection When, the variation relation according to car speed with road grade, obtain the car near the entrance driveway stop line that the average gradient gradient is i The computational methods of arrival rate are λi=[f (V0,i)/V0]*λ0。
Further, using Mountainous City signalized intersections entrance driveway saturation volume and vehicle arriving rate, Mountainous City is calculated The vehicle cycle mean delay of signalized intersections, including：
Delay estimation method based on Webster formula
In formula：C is signal period duration, unit s；λi For vehicle arriving rate, unit for/s；xiFor saturation degree；U is split, and equal to g/C, wherein g is Effective Green Time duration, unit For s；yiFor flow-rate ratio, equal to λi/Si, wherein SiFor saturation volume, unit for/s.
Further, using Mountainous City signalized intersections entrance driveway saturation volume and vehicle arriving rate, Mountainous City is calculated The vehicle cycle mean delay of signalized intersections, including：Delay estimation method based on HCM2010 formula
Wherein：
P=rpu
In formula：PF is that vehicle reaches value corresponding to type；rp、fPAThe correction factor of type is reached for vehicle；U is green letter Than equal to g/C, wherein g is Effective Green Time duration, unit s；
In formula：C is signal period duration, unit s；xiFor saturation degree；T is to analyze duration, unit h；K is letter prosecutor Formula correction parameter；I is that vehicle reaches type；QbFor cycle initial time vehicle queue length, c is intersection capacity, single Position for/h.
By adopting the above-described technical solution, the present invention has the advantage that：
The present invention is not high for existing delay estimation method computational accuracy when applied to Mountainous City signalized intersections Problem, there is the situation of certain slope especially for signalized intersections entrance driveway, proposition is a kind of new to be got off based on certain slope The delay estimation method of arrival rate amendment.Compared with existing computational methods, this method is in Mountainous City strong applicability, calculating essence Degree is high, can be used in evaluating signalized crossing service level and optimizes signal time distributing conception.The present invention compensate for traditional The defects of influence of the entrance driveway gradient not being taken into account in delay estimation method, there is closing to reality, high reliability, Signal time distributing conception especially suitable for newly-built intersection designs.
Brief description of the drawings
In order that the object, technical solutions and advantages of the present invention are clearer, the present invention is made below in conjunction with accompanying drawing into The detailed description of one step, wherein：
Fig. 1 is that the vehicle being related in the present invention travels the schematic diagram in different gradient section；
Fig. 2 is Mountainous City signalized intersections delay estimation method flow block diagram proposed by the present invention；
Label in figure：1 is without gradient section velocity measuring section；2 be crossing inlet road stop line；3 be road by zero Knick point position of the slope change to average gradient degree for i；4 be that road by average gradient degree is that i is changed to other top rakes Knick point position；5 be vehicle heading directional arrow；6 be the road-section average longitudinal slope gradient where crossing inlet road.
Embodiment
The preferred embodiments of the present invention are described in detail below；It should be appreciated that preferred embodiment is only for explanation The present invention, the protection domain being not intended to be limiting of the invention.
A kind of Mountainous City signalized intersections delay estimation method, comprises the following steps：
S1 determines the Mountainous City signalized intersections entrance driveway average gradient gradient；As numbering 6 is signified in Fig. 1.Utilize level The surveying and mapping tools such as instrument, scale, tape measure are completed.
In the present embodiment, select that it is flat to obtain it to the section of entrance driveway upstream 200m~300m length since stop line The equal longitudinal slope gradient, can so avoid short-range road grade from being mutated the influence to result of calculation.
S2 determines Mountainous City signalized intersections entrance driveway saturation volume, as numbering 2 is signified in Fig. 1.
In the present embodiment, can be obtained for existing intersection by field observation vehicle saturation headway；For Newly-built intersection, then need to determine that Mountainous City crossing inlet road is substantially saturated stream by the investigation of substantial amounts of saturation headway Amount, on this basis, investigate the vehicle saturation headway under the different entrance driveway gradients and then obtain the saturation under the corresponding gradient Flow, finally, the saturation volume in specific grade lower inlet road is obtained to the corrected Calculation of saturation volume using the longitudinal slope gradient.
S3 determines Mountainous City signalized intersections entrance driveway stop line vehicle average overall travel speed nearby；Section is selected as schemed Numbering 1,2 is signified in 1.
Average overall travel speed of the field observation vehicle at section 1,2 can be taken for existing intersection；For newly-built Intersection selects Mountainous City different gradient section to investigate, corresponding to collection, it is necessary under normal traffic noise prediction Vehicle travel speed data, then obtain continuous letter of the car speed with change in road slope using the method for establishing empirical model Number f (V0, i), the vehicle average overall travel speed V of the gradient section of road zero where investigation obtains the crossing inlet road on the spot0, meter The average overall travel speed V of vehicle near the entrance driveway stop line can be obtained after calculationi。
S4 determines Mountainous City signalized intersections entrance driveway stop line vehicle arriving rate；
(5) crossing inlet road vehicle arriving rate is calculated.Zero gradient section is calculated according to the definition of vehicle arriving rate first The vehicle arriving rate λ of certain section0, as numbering 1 is signified in Fig. 1.Due to the change of car speed, vehicle is travelled to crossing inlet When near road stop line, such as the meaning of numbering 2 in Fig. 1, vehicle arriving rate can change, according to vehicle arriving rate and car speed Relation, the computational methods for obtaining the vehicle arriving rate near the entrance driveway stop line that the average gradient gradient is i are
S5 utilizes Mountainous City signalized intersections entrance driveway saturation volume and vehicle arriving rate, calculates Mountainous City signal and hands over The vehicle cycle mean delay of prong.
1. the delay estimation method based on Webster formula
In formula：C is signal period duration, unit s；λi For vehicle arriving rate, unit for/s；xiFor saturation degree；U is split, and equal to g/C, wherein g is Effective Green Time duration, unit For s；yiFor flow-rate ratio, equal to λi/Si, wherein SiFor saturation volume, unit for/s.
2. the delay estimation method based on HCM2010 formula
Wherein：
P=rpu
In formula：PF is that vehicle reaches value corresponding to type；rp、fPAThe correction factor of type is reached for vehicle；U is green letter Than equal to g/C, wherein g is Effective Green Time duration, unit s；
In formula：C is signal period duration, unit s；xiFor saturation degree；T is to analyze duration, unit h；K is letter prosecutor Formula correction parameter；I is that vehicle reaches type；QbFor cycle initial time vehicle queue length, c is intersection capacity, single Position for/h.
The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the invention, it is clear that those skilled in the art Member can carry out various changes and modification without departing from the spirit and scope of the present invention to the present invention.So, if the present invention These modifications and variations belong within the scope of the claims in the present invention and its equivalent technologies, then the present invention is also intended to include these Including change and modification.

Claims (8)

  1. A kind of 1. Mountainous City signalized intersections delay estimation method, it is characterised in that：Comprise the following steps：
    S1 determines the Mountainous City signalized intersections entrance driveway average gradient gradient；
    S2 determines Mountainous City signalized intersections entrance driveway saturation volume；
    S3 determines Mountainous City signalized intersections entrance driveway stop line vehicle average overall travel speed nearby；
    S4 determines Mountainous City signalized intersections entrance driveway stop line vehicle arriving rate；
    S5 utilizes Mountainous City signalized intersections entrance driveway saturation volume and vehicle arriving rate, calculates Mountainous City signalized intersections Vehicle cycle mean delay；
    The vehicle arriving rate obtains by the following method：
    Calculate the vehicle arriving rate λ of zero gradient section section0, when vehicle is travelled to the entrance driveway stop line of intersection, according to Car speed obtains the vehicle near the entrance driveway stop line that the average gradient gradient is i and reached with the variation relation of road grade The computational methods of rate are
    λi=[f (V0,i)/V0]*λ0
    Wherein, λiThe vehicle arriving rate near entrance driveway stop line for being i for the average gradient gradient, f (V0, i) for car speed with The continuous function of change in road slope, V0For vehicle average overall travel speed, λ0The vehicle arriving rate of zero gradient section section.
  2. 2. signalized intersections delay estimation method in Mountainous City according to claim 1, it is characterised in that：The mountain region city City's signalized intersections include built intersection and newly-built intersection.
  3. 3. signalized intersections delay estimation method in Mountainous City according to claim 2, it is characterised in that：It is described to have established diplomatic relations The entrance driveway saturation volume of prong is obtained by field survey saturation headway.
  4. 4. signalized intersections delay estimation method in Mountainous City according to claim 3, it is characterised in that：It is described newly to establish diplomatic relations The entrance driveway saturation volume preparation method of prong with：The saturation volume under different gradient is calculated, obtains entrance driveway in Mountainous City The calculated relationship of saturation volume and road grade.
  5. 5. signalized intersections delay estimation method in Mountainous City according to claim 2, it is characterised in that：It is described to have established diplomatic relations Nearby vehicle average overall travel speed is calculated prong entrance driveway stop line by field survey vehicle speed data.
  6. 6. signalized intersections delay estimation method in Mountainous City according to claim 3, it is characterised in that：It is described newly to establish diplomatic relations Nearby vehicle average overall travel speed obtains prong entrance driveway stop line by the following method：Determine car speed and road grade Relation function, average overall travel speed is calculated by section gradient upstream and downstream section car speed where intersection.
  7. 7. signalized intersections delay estimation method in Mountainous City according to claim 1, it is characterised in that：Utilize mountain region city City's signalized intersections entrance driveway saturation volume and vehicle arriving rate, the vehicle cycle for calculating Mountainous City signalized intersections averagely prolong Miss, including：
    Delay estimation method based on Webster formula
    <mrow> <mover> <mi>d</mi> <mo>&amp;OverBar;</mo> </mover> <mo>=</mo> <mfrac> <mrow> <mi>C</mi> <msup> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <mi>u</mi> <mo>)</mo> </mrow> <mn>2</mn> </msup> </mrow> <mrow> <mn>2</mn> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <msub> <mi>y</mi> <mi>i</mi> </msub> <mo>)</mo> </mrow> </mrow> </mfrac> <mo>+</mo> <mfrac> <msubsup> <mi>x</mi> <mi>i</mi> <mn>2</mn> </msubsup> <mrow> <mn>2</mn> <msub> <mi>&amp;lambda;</mi> <mi>i</mi> </msub> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <msub> <mi>x</mi> <mi>i</mi> </msub> <mo>)</mo> </mrow> </mrow> </mfrac> <mo>-</mo> <mn>0.65</mn> <msup> <mrow> <mo>(</mo> <mfrac> <mi>C</mi> <msubsup> <mi>&amp;lambda;</mi> <mi>i</mi> <mn>2</mn> </msubsup> </mfrac> <mo>)</mo> </mrow> <mfrac> <mn>1</mn> <mn>3</mn> </mfrac> </msup> <mo>*</mo> <msup> <msub> <mi>x</mi> <mi>i</mi> </msub> <mrow> <mo>(</mo> <mn>2</mn> <mo>+</mo> <mn>5</mn> <mi>u</mi> <mo>)</mo> </mrow> </msup> </mrow>
    In formula：C is signal period duration, unit s；λiFor vehicle arriving rate, unit for/s；xiFor saturation degree；U is green letter Than equal to g/C, wherein g is Effective Green Time duration, unit s；yiFor flow-rate ratio, equal to λi/Si, wherein SiFor saturation volume, Unit for/s.
  8. 8. signalized intersections delay estimation method in Mountainous City according to claim 1, it is characterised in that：Utilize mountain region city City's signalized intersections entrance driveway saturation volume and vehicle arriving rate, the vehicle cycle for calculating Mountainous City signalized intersections averagely prolong Miss, including：
    Delay estimation method based on HCM2010 formula
    <mrow> <mover> <mi>d</mi> <mo>&amp;OverBar;</mo> </mover> <mo>=</mo> <mfrac> <mrow> <mi>C</mi> <msup> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <mi>u</mi> <mo>)</mo> </mrow> <mn>2</mn> </msup> </mrow> <mrow> <mn>2</mn> <mo>&amp;lsqb;</mo> <mn>1</mn> <mo>-</mo> <mi>min</mi> <mrow> <mo>(</mo> <mn>1</mn> <mo>,</mo> <msub> <mi>x</mi> <mi>i</mi> </msub> <mo>)</mo> </mrow> <mi>u</mi> <mo>&amp;rsqb;</mo> </mrow> </mfrac> <mi>P</mi> <mi>F</mi> <mo>+</mo> <mn>900</mn> <mi>T</mi> <mo>&amp;lsqb;</mo> <mrow> <mo>(</mo> <msub> <mi>x</mi> <mi>i</mi> </msub> <mo>-</mo> <mn>1</mn> <mo>)</mo> </mrow> <mo>+</mo> <msqrt> <mrow> <msup> <mrow> <mo>(</mo> <msub> <mi>x</mi> <mi>i</mi> </msub> <mo>-</mo> <mn>1</mn> <mo>)</mo> </mrow> <mn>2</mn> </msup> <mo>+</mo> <mfrac> <mrow> <mn>8</mn> <msub> <mi>kIx</mi> <mi>i</mi> </msub> </mrow> <mrow> <mi>c</mi> <mi>T</mi> </mrow> </mfrac> </mrow> </msqrt> <mo>&amp;rsqb;</mo> <mo>+</mo> <mfrac> <mrow> <mn>1800</mn> <msub> <mi>Q</mi> <mi>b</mi> </msub> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <msubsup> <mi>u</mi> <mi>i</mi> <mo>*</mo> </msubsup> <mo>)</mo> </mrow> <mi>t</mi> </mrow> <mrow> <mi>c</mi> <mi>T</mi> </mrow> </mfrac> <mo>,</mo> </mrow>
    Wherein：
    <mrow> <mi>P</mi> <mi>F</mi> <mo>=</mo> <mfrac> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <mi>P</mi> <mo>)</mo> <msub> <mi>f</mi> <mrow> <mi>P</mi> <mi>A</mi> </mrow> </msub> </mrow> <mrow> <mn>1</mn> <mo>-</mo> <mi>u</mi> </mrow> </mfrac> </mrow>
    P=rpu
    In formula：PF is that vehicle reaches value corresponding to type；rp、fPAThe correction factor of type is reached for vehicle；U is split, Equal to g/C, wherein g is Effective Green Time duration, unit s；
    <mrow> <mi>t</mi> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <mn>0</mn> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <msub> <mi>Q</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0</mn> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mi>m</mi> <mi>i</mi> <mi>n</mi> <mo>{</mo> <mi>T</mi> <mo>,</mo> <mfrac> <msub> <mi>Q</mi> <mi>b</mi> </msub> <mrow> <mi>c</mi> <mo>&amp;lsqb;</mo> <mn>1</mn> <mo>-</mo> <mi>m</mi> <mi>i</mi> <mi>n</mi> <mrow> <mo>(</mo> <mn>1</mn> <mo>,</mo> <msub> <mi>x</mi> <mi>i</mi> </msub> <mo>)</mo> </mrow> <mo>&amp;rsqb;</mo> </mrow> </mfrac> <mo>}</mo> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <msub> <mi>Q</mi> <mi>b</mi> </msub> <mo>&amp;NotEqual;</mo> <mn>0</mn> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow>
    <mrow> <msup> <mi>u</mi> <mo>*</mo> </msup> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <mn>0</mn> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mi>t</mi> <mo>&lt;</mo> <mi>T</mi> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>1</mn> <mo>-</mo> <mfrac> <mrow> <mi>c</mi> <mi>T</mi> </mrow> <mrow> <msub> <mi>Q</mi> <mi>b</mi> </msub> <mo>&amp;lsqb;</mo> <mn>1</mn> <mo>-</mo> <mi>m</mi> <mi>i</mi> <mi>n</mi> <mrow> <mo>(</mo> <mn>1</mn> <mo>,</mo> <msub> <mi>x</mi> <mi>i</mi> </msub> <mo>)</mo> </mrow> <mo>&amp;rsqb;</mo> </mrow> </mfrac> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mi>t</mi> <mo>&gt;</mo> <mi>T</mi> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow>
    In formula：C is signal period duration, unit s；xiFor saturation degree；T is to analyze duration, unit h；K is letter prosecutor formula school Positive parameter；I is that vehicle reaches type；QbFor cycle initial time vehicle queue length, c is intersection capacity, and unit is / h.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106991817B (en) * 2017-05-23 2020-02-11 招商局重庆交通科研设计院有限公司 Method for determining traffic capacity of road sections of multi-level road network
CN110766939B (en) * 2019-09-20 2020-11-06 重庆交通大学 Signalized intersection queuing length estimation method based on vehicle track data
CN111932873B (en) * 2020-07-21 2022-10-04 重庆交通大学 Real-time traffic early warning management and control method and system for mountain city hot spot area
CN112037508B (en) * 2020-08-13 2022-06-17 山东理工大学 Intersection signal timing optimization method based on dynamic saturation flow rate

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1998048395A1 (en) * 1997-04-21 1998-10-29 Stührenberg GmbH Elektrobau-Signaltechnik Method for traffic signaling control
CN101246513A (en) * 2008-03-20 2008-08-20 天津市市政工程设计研究院 City fast road intercommunicated overpass simulation design system and selection method
CN101246514A (en) * 2008-03-20 2008-08-20 天津市市政工程设计研究院 City fast road intercommunicated overpass simulation design system and method for establishing design model
CN101818470A (en) * 2010-04-20 2010-09-01 长安大学 Method for optimally setting expressway traffic safety facilities
CN204129960U (en) * 2014-08-28 2015-01-28 邓荣峰 Block up intersection traffic signal lamp control system
CN204356601U (en) * 2013-11-22 2015-05-27 中铁第四勘察设计院集团有限公司 A kind of traffic configuration structure of grade intersection

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1998048395A1 (en) * 1997-04-21 1998-10-29 Stührenberg GmbH Elektrobau-Signaltechnik Method for traffic signaling control
CN101246513A (en) * 2008-03-20 2008-08-20 天津市市政工程设计研究院 City fast road intercommunicated overpass simulation design system and selection method
CN101246514A (en) * 2008-03-20 2008-08-20 天津市市政工程设计研究院 City fast road intercommunicated overpass simulation design system and method for establishing design model
CN101818470A (en) * 2010-04-20 2010-09-01 长安大学 Method for optimally setting expressway traffic safety facilities
CN204356601U (en) * 2013-11-22 2015-05-27 中铁第四勘察设计院集团有限公司 A kind of traffic configuration structure of grade intersection
CN204129960U (en) * 2014-08-28 2015-01-28 邓荣峰 Block up intersection traffic signal lamp control system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
"基于实时延误的交叉口控制方案优化分析";张慧玲 等;《广西大学学报 自然科学版》;20150228;正文第2页第16行至第3页第26行、第4页整页 *
"道路平面交叉口通行能力的延误分析法";王祎;《中国公路学报》;19980831;正文说明书第2页第13行至第3页第20行、第4页第13行和第6页第4行 *

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