CN107248299A - Special-lane bus priority trunk line coordination control method based on standing time - Google Patents

Special-lane bus priority trunk line coordination control method based on standing time Download PDF

Info

Publication number
CN107248299A
CN107248299A CN201710620861.3A CN201710620861A CN107248299A CN 107248299 A CN107248299 A CN 107248299A CN 201710620861 A CN201710620861 A CN 201710620861A CN 107248299 A CN107248299 A CN 107248299A
Authority
CN
China
Prior art keywords
msub
mrow
bus
mtd
mfrac
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
CN201710620861.3A
Other languages
Chinese (zh)
Other versions
CN107248299B (en
Inventor
刘小明
尚春琳
黄晓琴
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.)
North China University of Technology
Original Assignee
North China University of Technology
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 North China University of Technology filed Critical North China University of Technology
Priority to CN201710620861.3A priority Critical patent/CN107248299B/en
Publication of CN107248299A publication Critical patent/CN107248299A/en
Application granted granted Critical
Publication of CN107248299B publication Critical patent/CN107248299B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/07Controlling traffic signals
    • G08G1/087Override of traffic control, e.g. by signal transmitted by an emergency vehicle

Abstract

The invention relates to a stop time-based coordination control method for a bus priority trunk of a private lane, which considers that under the coordination condition of the bus priority trunk of the independent private lane, the coordination among intersections is not influenced by social vehicles, and compared with the coordination of the trunk of the social vehicles, the running state of the bus of the private lane is easy to judge when the timing of adjacent intersections changes, analyzes the distribution condition of the stop time of the bus and the estimation of a confidence interval, obtains the running space-time track of the bus of the private lane by combining the running speed of the bus, the running path of the bus and other constraint conditions, determines the probability and expectation that the bus passes through a downstream intersection by considering the travel time, the phase difference and other constraint conditions, implements the coordination of the priority trunk of bus signals by a method combining off-line control and active control, reduces the delay time of the bus and improves the running efficiency of.

Description

A kind of special lane public traffic in priority Arterial Coordination Control method based on the time in station
Technical field
The present invention is the control method on public traffic in priority, is coordinated primarily directed to independent special lane public traffic in priority Control, belongs to Controlling Traffic Signals in Urban Roads field.
Background technology
The development of current public traffic in priority is achieved by a variety of factors, and is such as increased by path resource finite sum vehicles number Deng most urban public transports trip ratios are relatively low, and public transit vehicle service level is poor, and punctuality rate is low, causes many trips Person does not select bus trip, and public transport does not have the fully effective evacuation effect for playing it to traffic.Therefore, we must seek feasible Method solve the problem of public transport is existing.
In urban road, the position of influence traffic is mainly intersection, and bus is relative to other vehicles For have the features such as handling capacity of passengers is big, the speed of service is slow, if bus intersection can not pass through can produce it is more Delay, therefore analysis public traffic in priority difficult point mainly on intersection.If bus can be at one even more than friendship Prong is all passed through, and traffic delay will significantly reduce, and the run time of whole piece circuit also reduces accordingly, and this is just ensured The punctuality rate and service level of bus.
Most researchs for bus priority control system are coordination control using single crossing as target, but are based on Preferential and Arterial Coordination Control the research of many bus signals is less, and bus travels needs continuously through multiple tight on road The intersection of close contact, therefore to consider overall trade-off effect, the controlling of bus priority model of intersection group is designed, i.e., Main line public traffic in priority control method for coordinating.
The content of the invention
To solve the above problems, the present invention provides a kind of special lane public traffic in priority Arterial Coordination Control based on the time in station Method, it is considered in the case of independent special lane public traffic in priority Trunk Road Coordination, coordinate not influenceed by public vehicles between each intersection, Draw special lane public transport operation space-time track with reference to public transport operation speed and bus travel path etc., then consider journey time, The constraintss such as phase difference determine probability and expectation of the bus by downstream intersection, and this method specifically uses following steps:
(1) running time of the bus between two intersections is calculated
Distance is L between two intersectionsab, bus average overall travel speed is VB, the acceleration that enters the station is a, then handed over two The journey time of prong:
In formula:tsFor public transport time interval in station;t±For bus acceleration-deceleration delay;VBFor public transport vehicle speed;A is public transport Car acceleration;
(2) probability and expectation of the bus by downstream intersection are determined
In the confidential interval [t of time in stations1, ts2] under, journey time T of the bus in two intersectionsabIt is divided into Tab1、 Tab2
Bus is by being t at the time of a of intersectiona, two-end-point respectively t is defined according to the confidential interval of time in stations1、ts2 When, the time interval that bus reaches downstream intersection is [td1, td2], two intersection phase differences are βi, common period is C, green The lamp time is g, then:
Calculate i intersection in each car green light interval a, green light and red light transposition section b, red light interval c pass through Probability λim
In formula:gsFor green light finish time;
(3) probability that most preferably passes through is determined according to the current expectation of the maximum in section, to determine optimal off-lined signal control Coordinate phase difference, it is comprised the following steps that:
(31) choose the i-th intersection and distribution is reached to its history and carry out statistical analysis, each car is calculated according to step (2) Current probability, intersection i is in phase differenceIn the case of period by expecting EiFor:
Wherein m is the public transit vehicle number in statistical time range, CiFor common period,
(32) β is madeii+ 1, judge βi≤Ci, if so, (31) operation is then performed, (33) operation is otherwise performed;
(33) i=i+1 is made, i≤n is judged, if so, (31) operation is then performed, (34) operation is otherwise performed;Wherein, n is The crossway of the main stem quantity;
(34) expected matrix E is passed through by said process construction
Wherein EnjFor desired value of n-th of intersection under the conditions of j-th of phase difference, j=Ci
(35) the maximum expectation value matrix E in each intersection is found from matrix Emax
Therefore the optimum phase difference that can obtain an intersection is
[j1 j2 … jn]。
Preferably, this method also includes
(4) method being combined by Off-line control and active control implements the preferential Trunk Road Coordination of bus signals, and step is such as Under:
(41) when detector, which detects bus, there are override requests, judge whether the request is in clearance phase, if so, (42) then are performed, otherwise (43) are performed;
(42) if bus reaches stop line during public transport phase green light, signal is constant, otherwise performs (45);
(43) judge whether request phase is next phase, if it is, performing (44), otherwise signal is constant;
(44) if bus reaches stop line during public transport phase green light, signal is constant, otherwise performs (46);
(45) green light extension module is started, display performs (47) after finishing;
(46) red light early disconnected module is started, display performs (47) after finishing;
(47) bus by recovering original signal timing immediately behind crossing.
Brief description of the drawings
The present invention is further described with example below in conjunction with the accompanying drawings:
Fig. 1 is flow chart of the method for the present invention.
Fig. 2 is data collection point schematic diagram.
Fig. 3 is that public transport reaches downstream intersection signal schematic representation.
Fig. 4 is that optimum phase difference solves flow chart.
Fig. 5 is active control flow chart.
Embodiment
The method flow of the present invention is as shown in Figure 1.
Gather distance, Public Transit Bus Stopping procedure parameter, bus routes, public affairs between Traffic Information, including two intersections Hand over vehicle flowrate, bus stop type etc..First data acquisition, circuit and station are carried out during the higher evening peak of selection departure frequency The selection requirement of point is with public transportation lane and has a plurality of public bus network process, as shown in Figure 2.
(1) situation of Annual distribution in station and the Estimating Confidence Interval of time in station of public transit vehicle are analyzed, with reference to public transport fortune Scanning frequency degree and bus travel path etc. draw bus in the operation space-time track of public transportation lane.
Fitting of distribution is carried out for the time data in station collected, the Annual distribution in station of bus is to illustrate public transport Car all time in station falls the number of times in each time interval, it is determined that the probability of each circuit bus Annual distribution in station Density function.In order that maximum probability is by intersection in green time for public transport, the research time in station is under certain probability It is distributed in some interval, so that judge that bus reaches the time of downstream intersection, it is general to choose the confidence that confidence level is 90% It is interval.
The value of 90% confidence interval is obeyed according to the time in station obtained, is ensureing the premise in original signal cycle Under, by adjusting the phase difference between two intersections, enable bus maximum probability reaches downstream intersection in green time Mouthful, pass through more public transit vehicle numbers in cycle time.
Running time of the bus between two intersections, when only considering normal operation herein for the convenience of calculating Running time and time in station for estimating above.
Distance between defining two intersections is needed to be L according to researchab, bus average overall travel speed is VB, acceleration of entering the station Spend for a, then the journey time in two intersections:
In formula:
ts--- public transport time interval in station, s;
t±--- bus acceleration-deceleration delay, s;
VB--- public transport vehicle speed, m/s;
A --- bus acceleration, m/s2
(2) consider that the constraintss such as journey time, phase difference determine probability and expectation of the bus by downstream intersection.
In order to be passed through when judging that bus reaches downstream intersection, journey time T is utilizedabAnd the time in station Confidential interval [ts1, ts2] it is analyzed, therefore journey time is respectively:
If detecting certain road bus by being t at the time of a of intersectiona, two ends are defined according to the confidential interval of time in station Point is respectively ts1、ts2When, the time interval that bus reaches downstream intersection is [td1, td2], two intersection phase differences are βi, Common period is C, and green time is g, therefore:
Know that bus there are three kinds of situations when reaching downstream intersection, is illustrated in fig. 3 shown below, respectively reaches by above formula analysis It is interval (c) that time interval belongs to green light interval (a), green light and red light transposition section (b), red light.
It is different by intersection probability for tri- kinds of situation correspondences of a, b, c, then each car in i intersection is analyzed successively Current probability λim, therefore:
In formula:
gd=gs-t1d
gd--- the long green light time of public transport P Passable, s;
gs--- green light finish time, s.
(3) probability that most preferably passes through is determined according to the current expectation of the maximum in section, to determine optimal off-lined signal control Coordinate phase difference.
Because the distribution of special lane public transport is by integrative design intersection and time effects in station, therefore it is distributed running status Ibid the phase difference of downstream intersection is furnished with larger association, therefore, from the current probability of the distribution of special lane public transport, passes through Find the current expectation of maximum of specific road section to determine the probability that most preferably passes through, and then determine the coordination phase of optimal off-lined signal control Potential difference, it is comprised the following steps that:
Step1:It is n to make the crossway of the main stem quantity, and it is β with the phase difference of downstream i+1 intersections to make the crossway of the main stem ii
Step2:Choose the i-th intersection and distribution is reached to its history and carry out statistical analysis, statistical time range is 30min, and Analyze the current probability λ of each car successively using formula (6)m, therefore intersection i is in phase differenceIn the case of period pass through the phase Hope EiFor:
Wherein m is the public transit vehicle number in statistical time range, CiFor common period,
Step3:Make βii+ 1, judge βi≤Ci, if so, Step2 operations are then performed, Step4 operations are otherwise performed.
Step4:I=i+1 is made, i≤n is judged, if so, Step2 operations are then performed, Step5 operations are otherwise performed.
Step5:Expected matrix E is passed through by said process construction
Wherein EnjFor desired value of n-th of intersection under the conditions of j-th of phase difference, j=Ci
Step6:The maximum expectation value matrix E in each intersection is found from matrix Emax
Therefore the optimum phase difference that can obtain an intersection is
[j1 j2 … jn] (10)
According to the historical data of investigation, based on Robert Webster timing method, the expectation that addition bus passes through is calculated Timing parameter in off-line case.
(4) method being combined by Off-line control and active control implements the preferential Trunk Road Coordination of bus signals.
Because bus can produce random delay in road driving, intersect to judge that public transport reaches downstream The situation of mouth, arranges a wagon detector between bus stop and downstream intersection, true by the vehicle condition detected Determine the Active Control Method of downstream intersection, when receiving public traffic in priority application, be finely adjusted in timing scheme, make bus Intersection is passed through, this section extends using green light or green light opens bright method in advance.Step is as follows:
Step1:When detector, which detects bus, there are override requests, judge whether the request is in clearance phase, if It is then to perform Step2, otherwise performs step3;
Step2:If bus reaches stop line during public transport phase green light, signal is constant, otherwise performs Step5;
Step3:Judge whether request phase is next phase, if it is, performing Step4, otherwise signal is constant;
Step4:If bus reaches stop line during public transport phase green light, signal is constant, otherwise performs Step6;
Step5:Start green light extension module, display performs Step7 after finishing;
Step6:Start red light early disconnected module, display performs Step7 after finishing;
Step7:Bus by recovering original signal timing immediately behind crossing.
Green light extends and green light opens bright minimum time g in advance1For bus by needed for detector to intersection when Between, maximum duration will ensure the minimum green time g of next phasemin
gmin=max (gp,gc) (4-15)
In formula:
ld--- the distance of detector to intersection, m;
The average speed of v --- bus, m/s;
gp--- the minimum long green light time needed for pedestrian's street crossing, s;
gc--- ensure the minimum long green light time of driving, s.

Claims (2)

1. a kind of special lane public traffic in priority Arterial Coordination Control method based on the time in station, it is characterised in that this method includes Following steps:
(1) running time of the bus between two intersections is calculated
Distance is L between two intersectionsab, bus average overall travel speed is VB, the acceleration that enters the station is a, then in two intersections Journey time:
<mrow> <msub> <mi>T</mi> <mrow> <mi>a</mi> <mi>b</mi> </mrow> </msub> <mo>=</mo> <msub> <mi>t</mi> <mi>s</mi> </msub> <mo>+</mo> <msub> <mi>t</mi> <mo>&amp;PlusMinus;</mo> </msub> <mo>+</mo> <mfrac> <msub> <mi>L</mi> <mrow> <mi>a</mi> <mi>b</mi> </mrow> </msub> <msub> <mi>V</mi> <mi>B</mi> </msub> </mfrac> </mrow>
<mrow> <msub> <mi>t</mi> <mo>&amp;PlusMinus;</mo> </msub> <mo>=</mo> <mfrac> <msub> <mi>V</mi> <mi>B</mi> </msub> <mi>a</mi> </mfrac> </mrow>
In formula:tsFor public transport time interval in station;t±For bus acceleration-deceleration delay;VBFor public transport vehicle speed;A adds for bus Speed;
(2) probability and expectation of the bus by downstream intersection are determined
In the confidential interval [t of time in stations1, ts2] under, journey time T of the bus in two intersectionsabIt is divided into Tab1、Tab2
<mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <msub> <mi>T</mi> <mrow> <mi>a</mi> <mi>b</mi> <mn>1</mn> </mrow> </msub> <mo>=</mo> <msub> <mi>t</mi> <mrow> <mi>s</mi> <mn>1</mn> </mrow> </msub> <mo>+</mo> <msub> <mi>t</mi> <mo>&amp;PlusMinus;</mo> </msub> <mo>+</mo> <mfrac> <msub> <mi>L</mi> <mrow> <mi>a</mi> <mi>b</mi> </mrow> </msub> <msub> <mi>V</mi> <mi>B</mi> </msub> </mfrac> </mtd> </mtr> <mtr> <mtd> <mrow> <msub> <mi>T</mi> <mrow> <mi>a</mi> <mi>b</mi> <mn>2</mn> </mrow> </msub> <mo>=</mo> <msub> <mi>t</mi> <mrow> <mi>s</mi> <mn>2</mn> </mrow> </msub> <mo>+</mo> <msub> <mi>t</mi> <mo>&amp;PlusMinus;</mo> </msub> <mo>+</mo> <mfrac> <msub> <mi>L</mi> <mrow> <mi>a</mi> <mi>b</mi> </mrow> </msub> <msub> <mi>V</mi> <mi>B</mi> </msub> </mfrac> </mrow> </mtd> </mtr> </mtable> </mfenced>
Bus is by being t at the time of a of intersectiona, two-end-point respectively t is defined according to the confidential interval of time in stations1、ts2When, The time interval that bus reaches downstream intersection is [td1, td2], two intersection phase differences are βi, common period is C, during green light Between be g, then:
<mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <msub> <mi>t</mi> <mrow> <mi>d</mi> <mn>1</mn> </mrow> </msub> <mo>=</mo> <mi>mod</mi> <mfrac> <mrow> <msub> <mi>t</mi> <mi>a</mi> </msub> <mo>+</mo> <msub> <mi>T</mi> <mrow> <mi>a</mi> <mi>b</mi> <mn>1</mn> </mrow> </msub> <mo>-</mo> <msub> <mi>&amp;beta;</mi> <mi>i</mi> </msub> </mrow> <mi>C</mi> </mfrac> </mtd> </mtr> <mtr> <mtd> <msub> <mi>t</mi> <mrow> <mi>d</mi> <mn>2</mn> </mrow> </msub> <mo>=</mo> <mi>mod</mi> <mfrac> <mrow> <msub> <mi>t</mi> <mi>a</mi> </msub> <mo>+</mo> <msub> <mi>T</mi> <mrow> <mi>a</mi> <mi>b</mi> <mn>2</mn> </mrow> </msub> <mo>-</mo> <msub> <mi>&amp;beta;</mi> <mi>i</mi> </msub> </mrow> <mi>C</mi> </mfrac> </mtd> </mtr> </mtable> </mfenced>
Each car is in green light interval a, green light and red light transposition section b, red light interval c current probability in i intersection of calculating λim
<mrow> <msub> <mi>&amp;lambda;</mi> <mrow> <mi>i</mi> <mi>m</mi> </mrow> </msub> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <mn>0</mn> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mo>(</mo> <mi>c</mi> <mo>)</mo> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mfrac> <mrow> <msubsup> <mi>g</mi> <mrow> <mi>i</mi> <mi>s</mi> </mrow> <mi>m</mi> </msubsup> <mo>-</mo> <mi>mod</mi> <mfrac> <mrow> <msub> <mi>t</mi> <mi>a</mi> </msub> <mo>+</mo> <msub> <mi>T</mi> <mrow> <mi>i</mi> <mi>a</mi> <mi>b</mi> <mn>2</mn> </mrow> </msub> <mo>-</mo> <msubsup> <mi>&amp;beta;</mi> <mi>i</mi> <mi>m</mi> </msubsup> </mrow> <msub> <mi>C</mi> <mi>i</mi> </msub> </mfrac> </mrow> <mrow> <mi>mod</mi> <mfrac> <mrow> <msub> <mi>t</mi> <mi>a</mi> </msub> <mo>+</mo> <msub> <mi>T</mi> <mrow> <mi>i</mi> <mi>a</mi> <mi>b</mi> <mn>2</mn> </mrow> </msub> <mo>-</mo> <msubsup> <mi>&amp;beta;</mi> <mi>i</mi> <mi>m</mi> </msubsup> </mrow> <msub> <mi>C</mi> <mi>i</mi> </msub> </mfrac> <mo>-</mo> <mi>mod</mi> <mfrac> <mrow> <msub> <mi>t</mi> <mi>a</mi> </msub> <mo>+</mo> <msub> <mi>T</mi> <mrow> <mi>i</mi> <mi>a</mi> <mi>b</mi> <mn>1</mn> </mrow> </msub> <mo>-</mo> <msubsup> <mi>&amp;beta;</mi> <mi>i</mi> <mi>m</mi> </msubsup> </mrow> <msub> <mi>C</mi> <mi>i</mi> </msub> </mfrac> </mrow> </mfrac> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mo>(</mo> <mi>b</mi> <mo>)</mo> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>1</mn> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mo>(</mo> <mi>b</mi> <mo>)</mo> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow>
In formula:gsFor green light finish time;
(3) probability that most preferably passes through is determined according to the current expectation of the maximum in section, to determine the coordination of optimal off-lined signal control Phase difference, it is comprised the following steps that:
(31) choose the i-th intersection and distribution is reached to its history and carry out statistical analysis, the logical of each car is calculated according to step (2) Row probability, intersection i is in phase differenceIn the case of period by expecting EiFor:
<mrow> <msub> <mi>E</mi> <mi>i</mi> </msub> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>m</mi> </munderover> <msub> <mi>&amp;lambda;</mi> <mi>k</mi> </msub> </mrow>
Wherein m is the public transit vehicle number in statistical time range, CiFor common period,
(32) β is madeii+ 1, judge βi≤Ci, if so, (31) operation is then performed, (33) operation is otherwise performed;
(33) i=i+1 is made, i≤n is judged, if so, (31) operation is then performed, (34) operation is otherwise performed;Wherein, n is main line Intersection quantity.
(34) expected matrix E is passed through by said process construction
Wherein EnjFor desired value of n-th of intersection under the conditions of j-th of phase difference, j=Ci
(35) the maximum expectation value matrix E in each intersection is found from matrix Emax
<mrow> <msub> <mi>E</mi> <mrow> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> </msub> <mo>=</mo> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <msub> <mi>E</mi> <mrow> <mn>1</mn> <msup> <mi>j</mi> <mn>1</mn> </msup> </mrow> </msub> </mtd> <mtd> <msub> <mi>E</mi> <mrow> <mn>2</mn> <msup> <mi>j</mi> <mn>2</mn> </msup> </mrow> </msub> </mtd> <mtd> <mo>...</mo> </mtd> <mtd> <msub> <mi>E</mi> <mrow> <msup> <mi>nj</mi> <mi>n</mi> </msup> </mrow> </msub> </mtd> </mtr> </mtable> </mfenced> </mrow>
Therefore the optimum phase difference that can obtain an intersection is
[j1 j2 … jn]。
2. a kind of special lane public traffic in priority Arterial Coordination Control method based on the time in station as claimed in claim 1, it is special Levy and be, this method also includes
(4) method being combined by Off-line control and active control implements the preferential Trunk Road Coordination of bus signals, and step is as follows:
(41) when detector, which detects bus, there are override requests, judge whether the request is in clearance phase, if so, then holding Row (42), otherwise performs (43);
(42) if bus reaches stop line during public transport phase green light, signal is constant, otherwise performs (45);
(43) judge whether request phase is next phase, if it is, performing (44), otherwise signal is constant;
(44) if bus reaches stop line during public transport phase green light, signal is constant, otherwise performs (46);
(45) green light extension module is started, display performs (47) after finishing;
(46) red light early disconnected module is started, display performs (47) after finishing;
(47) bus by recovering original signal timing immediately behind crossing.
CN201710620861.3A 2017-07-26 2017-07-26 Special-lane bus priority trunk line coordination control method based on standing time Active CN107248299B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710620861.3A CN107248299B (en) 2017-07-26 2017-07-26 Special-lane bus priority trunk line coordination control method based on standing time

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710620861.3A CN107248299B (en) 2017-07-26 2017-07-26 Special-lane bus priority trunk line coordination control method based on standing time

Publications (2)

Publication Number Publication Date
CN107248299A true CN107248299A (en) 2017-10-13
CN107248299B CN107248299B (en) 2020-01-10

Family

ID=60013286

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710620861.3A Active CN107248299B (en) 2017-07-26 2017-07-26 Special-lane bus priority trunk line coordination control method based on standing time

Country Status (1)

Country Link
CN (1) CN107248299B (en)

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108230674A (en) * 2017-12-30 2018-06-29 北京工业大学 The vehicle control method for coordinating of public transportation lane utilization rate is improved based on truck traffic technology
CN109448403A (en) * 2018-12-21 2019-03-08 上海电科智能系统股份有限公司 A kind of preferential analysis on Necessity method of bus signals under Arterial Coordination Control
CN110288844A (en) * 2019-05-27 2019-09-27 北方工业大学 Continuous intersection collaborative optimization method based on vehicle-road communication
CN110853350A (en) * 2019-11-12 2020-02-28 北京航空航天大学 Arterial road phase difference optimization method based on floating car track data
CN111640302A (en) * 2020-05-27 2020-09-08 北方工业大学 Bus arrival speed priority control method in Internet of vehicles state
CN112907994A (en) * 2021-01-18 2021-06-04 兆边(上海)科技有限公司 Public transport cooperative control method and device under intelligent networking environment and terminal equipment
CN113032964A (en) * 2021-02-26 2021-06-25 武汉理工大学 Bus priority intersection signal control method and device

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102254443A (en) * 2011-06-28 2011-11-23 东南大学 Intermittent bus lane control system and method
CN103198680A (en) * 2013-04-25 2013-07-10 东南大学 Green wave coordination control method for multiline public transport in main trunk line
CN103903429A (en) * 2014-03-26 2014-07-02 东南大学 Fast bus stop delay time combination predicting method
US20140278029A1 (en) * 2013-03-15 2014-09-18 Carnegie Mellon University Methods And Software For Managing Vehicle Priority In A Self-Organizing Traffic Control System
CN204650764U (en) * 2015-04-06 2015-09-16 公安部交通管理科学研究所 A kind of bus signal priority control system based on real-time information interaction

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102254443A (en) * 2011-06-28 2011-11-23 东南大学 Intermittent bus lane control system and method
US20140278029A1 (en) * 2013-03-15 2014-09-18 Carnegie Mellon University Methods And Software For Managing Vehicle Priority In A Self-Organizing Traffic Control System
CN103198680A (en) * 2013-04-25 2013-07-10 东南大学 Green wave coordination control method for multiline public transport in main trunk line
CN103903429A (en) * 2014-03-26 2014-07-02 东南大学 Fast bus stop delay time combination predicting method
CN204650764U (en) * 2015-04-06 2015-09-16 公安部交通管理科学研究所 A kind of bus signal priority control system based on real-time information interaction

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
张骁等: "专用道公交优先干线协调控制研究现状及展望", 《自动化博览》 *

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108230674A (en) * 2017-12-30 2018-06-29 北京工业大学 The vehicle control method for coordinating of public transportation lane utilization rate is improved based on truck traffic technology
CN108230674B (en) * 2017-12-30 2020-05-08 北京工业大学 Vehicle coordination control method for improving utilization rate of bus lane based on vehicle-to-vehicle communication technology
CN109448403A (en) * 2018-12-21 2019-03-08 上海电科智能系统股份有限公司 A kind of preferential analysis on Necessity method of bus signals under Arterial Coordination Control
CN110288844A (en) * 2019-05-27 2019-09-27 北方工业大学 Continuous intersection collaborative optimization method based on vehicle-road communication
CN110288844B (en) * 2019-05-27 2021-02-23 北方工业大学 Continuous intersection collaborative optimization method based on vehicle-road communication
CN110853350A (en) * 2019-11-12 2020-02-28 北京航空航天大学 Arterial road phase difference optimization method based on floating car track data
CN111640302A (en) * 2020-05-27 2020-09-08 北方工业大学 Bus arrival speed priority control method in Internet of vehicles state
CN112907994A (en) * 2021-01-18 2021-06-04 兆边(上海)科技有限公司 Public transport cooperative control method and device under intelligent networking environment and terminal equipment
CN113032964A (en) * 2021-02-26 2021-06-25 武汉理工大学 Bus priority intersection signal control method and device
CN113032964B (en) * 2021-02-26 2022-07-26 武汉理工大学 Bus priority intersection signal control method and device

Also Published As

Publication number Publication date
CN107248299B (en) 2020-01-10

Similar Documents

Publication Publication Date Title
CN107248299A (en) Special-lane bus priority trunk line coordination control method based on standing time
CN105865472B (en) A kind of navigation method based on optimum oil consumption
CN102646338B (en) Priority control method for bus signal based on green light demand
CN104282162B (en) A kind of crossing self-adapting signal control method based on real-time vehicle track
CN106846871B (en) Method, device and system for planning vehicle speed according to navigation path
CN108447282B (en) Bus real-time scheduling and priority control method based on bus-road cooperation
CN107730922B (en) Unidirectional trunk line green wave coordination control self-adaptive adjustment method
CN104778834B (en) Urban road traffic jam judging method based on vehicle GPS data
CN102280036B (en) Bus rapid transit signal prior timing method under trunk line coordination control
CN104637317B (en) A kind of crossing based on real-time vehicle track actuated signal control method
CN101777259B (en) Method for acquiring mean delay of urban road junction
CN111951549B (en) Self-adaptive traffic signal lamp control method and system in networked vehicle environment
CN105046991B (en) Intersection signal control method and system
CN107274684A (en) A kind of single-point integrative design intersection policy selection method under bus or train route cooperative surroundings
CN103236164B (en) Vehicle controlling method for guaranteeing public transport vehicle prior passing
CN104485003B (en) A kind of intelligent traffic signal control method based on pipeline model
CN109887289A (en) A kind of network vehicle flowrate maximization approach of urban traffic network model
CN109598950A (en) A kind of the ring road collaboration remittance control method and system of intelligent network connection vehicle
CN103593988A (en) Method for arranging steering buses in sequence in bus stop at inner side of road
CN107705591A (en) A kind of tramcar and the cooperative control method of social wagon flow
CN109612488B (en) Big data micro-service-based mixed travel mode path planning system and method
CN107341960A (en) A kind of active bus signal priority control method based on bus real-time positioning information
CN104504918A (en) Urban highway bus signal priority method
CN106601005B (en) A kind of municipal intelligent traffic abductive approach based on RFID and wechat platform
CN101930670A (en) Method for predicting social vehicle running time on bus travel road section

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