CN110060480B - Method for controlling traffic flow running time of road section - Google Patents
Method for controlling traffic flow running time of road section Download PDFInfo
- Publication number
- CN110060480B CN110060480B CN201910457548.1A CN201910457548A CN110060480B CN 110060480 B CN110060480 B CN 110060480B CN 201910457548 A CN201910457548 A CN 201910457548A CN 110060480 B CN110060480 B CN 110060480B
- Authority
- CN
- China
- Prior art keywords
- road section
- traffic flow
- target road
- traffic
- maximum
- 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.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
- G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
Abstract
The invention provides a method for controlling the traffic flow running time of a road section, which comprises the following steps: s1: acquiring the length L of a target road section between two adjacent intersections and the intersection length D of a downstream intersection; s2: collecting vehicle speed information of the downstream intersection, and calculating the average vehicle speed v of the downstream intersection2(ii) a S3: substituting the information acquired and calculated in the steps S1 to S2 into a pre-established calculation model of the average vehicle speed of the target road section, and calculating the average vehicle speed v of the target road section1(ii) a S4: respectively substituting the information collected in the steps S1 to S3 and the calculated information into the preset maximum traffic time t of the traffic flowmAnd the actual transit time t of the traffic flow0Calculating t0And tm(ii) a S5: will t0And tmComparing, and adjusting t according to the comparison result0(ii) a The invention can accurately evaluate the traffic capacity of the intersection and the adjacent intersections and make reasonable traffic control measures according to the evaluation result.
Description
Technical Field
The invention relates to the field of traffic, in particular to a method for controlling the traffic flow running time of a road section.
Background
With the development of society, the reserved quantity of automobiles is gradually increased, however, the increment of roads for automobile driving is far less than the increasing speed of the reserved quantity of automobiles, which causes the congestion phenomenon of modern urban roads to be increasingly serious, but another problem of urban road congestion is that the traffic flow passing time of roads is not reasonably controlled, because a plurality of intersections are arranged in a city, the driving speed of road sections between adjacent intersections is different from the driving speed of road sections between adjacent intersections, the driving speed of road sections at intersections is often lower than that of road sections between adjacent intersections, if the traffic flow passing time is not controlled, vehicles at downstream intersections overflow to upstream, so that serious congestion is formed, and in the prior art, an effective means for solving the technical problems is not provided.
Therefore, a new method for controlling the traffic flow travel time of the road section needs to be provided.
Disclosure of Invention
In view of the above, the present invention provides a method for controlling traffic flow passing time of a road section, which can accurately evaluate actual passing time of traffic flow of a target road section between two intersections, and make a reasonable traffic control measure according to an evaluation result, thereby effectively preventing urban traffic congestion, avoiding traffic flow of the target road section from overflowing to an upstream intersection, reducing time cost and fuel cost caused by congestion, and improving passing efficiency of urban roads.
The invention provides a method for controlling the traffic flow running time of a road section, which comprises the following steps:
s1: acquiring the length L of a target road section between two adjacent intersections and the intersection length D of a downstream intersection;
s2: collecting vehicle speed information of the downstream intersection, and calculating the average vehicle speed v of the downstream intersection2；
S3: substituting the information acquired and calculated in the steps S1 to S2 into a pre-established calculation model of the average vehicle speed of the target road section, and calculating the average vehicle speed v of the target road section1(ii) a The calculation model of the average speed of the target road section is as follows:
wherein A is a correction coefficient of Taylor expansion, vmThe maximum speed of the vehicle when the target road section between two adjacent intersections reaches the maximum traffic capacity is obtained; l is*To the eyesThe maximum queuing length of the marked road section in a traffic jam state;
s4: respectively substituting the information collected in the steps S1 to S3 and the calculated information into the preset maximum traffic time t of the traffic flowmAnd the actual transit time t of the traffic flow0The actual traffic flow passing time t of the target road section between two adjacent intersections is calculated and obtained0And the maximum traffic flow passing time tm；
S5: the actual passing time t of the target road section between two adjacent crossroads0And a maximum transit time tmComparing, and adjusting the actual traffic flow passing time t of the target road section between two adjacent intersections according to the comparison result0。
Further, the maximum traffic flow passing time tmThe calculation model of (2) is as follows:
wherein v ismA is a correction coefficient of Taylor expansion, and A is the maximum speed of the vehicle when the target road section between two adjacent intersections reaches the maximum traffic capacity.
Further, the value of A is [0.8, 0.9 ].
Further, the method for establishing the calculation model of the average speed of the target road section comprises the following steps:
s31: establishing a traffic fluctuation model:
wherein, w1The wave velocity of the collective wave formed at the intersection; q. q.s2The traffic flow of a downstream intersection in two adjacent intersections; q. q.s1The real-time traffic capacity between two adjacent crossroads; v. of1Is the average speed of the target road section; v. of2The average vehicle speed of a downstream intersection in two adjacent intersections;
the traffic flow density of a target road section between two adjacent intersections;
the traffic flow density of a downstream intersection in two adjacent intersections;
s32: establishing the maximum vehicle queuing length L between two adjacent intersections*The calculation model of (1), said L*The calculation model of (a) is:
wherein, t1The time when the vehicle passes through a downstream intersection of two adjacent intersections; l is*The maximum queuing length of the target road section in the traffic jam state is obtained;
s33: establishing a Greener model representing the relation between speed and density and a traffic flow and vehicle speed relation model, and substituting the Greener model and the traffic flow and vehicle speed relation model into a formula (4) to obtain:
wherein the Greenbo model is
kjIs the blocking density; the traffic flow and vehicle speed relation model is q ═ kv; v. ofmThe speed when the target road section reaches the maximum traffic capacity is obtained; k is traffic flow density, q is traffic flow, and v is vehicle speed;
s34: in the pair (5) of
The term is subjected to taylor expansion:
s35: substituting equation (6) into equation (5) yields:
s36: the transformation from (7) yields:
wherein Δ v is an average speed difference between the target road section and the downstream intersection of the target road section;
s37: correcting the error generated by Taylor expansion in the formula (8) to obtain:
wherein A is a correction coefficient of Taylor expansion;
s38: will be provided with
And (5) substituting the equation (9) to obtain a calculation model of the average speed of the target road section.
Further, the maximum traffic flow passing time tmThe method for establishing the calculation model comprises the following steps:
s41: establishing the maximum traffic time t of the traffic flow of the target road sectionmThe calculation model of (a) is:
s42: the queuing length needs to satisfy the condition L*Can meet the normal traffic flow passing requirement if the sum of L and D is less than L, so the sum of L and D is replaced by L in the formula (9)*Obtaining:
s43: substituting the expression (11) into the expression (10) to obtain the maximum traffic flow passing time tmThe computational model of (1).
Further, the actual traffic flow passing time t0The calculation model of (a) is:
the invention has the beneficial effects that: the method can accurately evaluate the actual traffic flow passing time of the traffic flow of the target road section between two intersections, and make reasonable traffic control measures according to the evaluation result, thereby effectively preventing urban traffic jam, avoiding the traffic flow of the target road section from overflowing to an upstream intersection, reducing the time cost and the fuel cost caused by the jam, and improving the passing efficiency of urban roads.
Drawings
The invention is further described below with reference to the following figures and examples:
FIG. 1 is a schematic flow diagram of the present invention;
fig. 2 is a traffic diagram of the present invention.
Detailed Description
As shown in fig. 1, the method for controlling the traffic flow passing time of a road section provided by the invention comprises the following steps:
s1: acquiring the length L of a target road section between two adjacent intersections and the intersection length D of a downstream intersection;
s2: collecting vehicle speed information of the downstream intersection, and calculating the average vehicle speed v of the downstream intersection2(ii) a Arranging a vehicle detection device (such as RFID, electromagnetic induction coil) at a downstream intersection, setting the number of detected vehicles as N, and the vehicle speed obtained within a certain statistical time interval as (v)21,v22,...,v2N) The average vehicle speed of the downstream intersection is
Wherein v is2iThe speed of the ith vehicle passing through the downstream intersection in the time interval is counted.
S3: substituting the information acquired and calculated in the steps S1 to S2 into a pre-established calculation model of the average vehicle speed of the target road section, and calculating the average vehicle speed v of the target road section1(ii) a The calculation model of the average speed of the target road section is as follows:
wherein A is a correction coefficient of Taylor expansion, vmThe maximum speed of the vehicle when the target road section between two adjacent intersections reaches the maximum traffic capacity is obtained;
s4: respectively substituting the information collected in the steps S1 to S3 and the calculated information into the preset maximum traffic time t of the traffic flowmAnd the actual transit time t of the traffic flow0The actual traffic flow passing time t of the target road section between two adjacent intersections is calculated and obtained0And the maximum traffic flow passing time tm；
S5: the actual passing time t of the target road section between two adjacent crossroads0And a maximum transit time tmComparing, and adjusting the actual traffic flow passing time t of the target road section between two adjacent intersections according to the comparison result0. Wherein, when t is0＞tmThen, it is necessary to measure t0And (6) carrying out adjustment. The following measures are adopted for adjusting the actual traffic flow passing time of the target road section between two adjacent intersections: firstly, the method comprises the following steps: managing and controlling vehicles which want to enter an upstream intersection, and secondly: controlling vehicles to enter the upstream intersection, adjusting the number of vehicles entering, e.g. notifying the oncoming vehicles to change the route, and third, extending the green light at the downstream intersectionIn the method, the actual traffic time of the traffic flow of the target road section between two intersections can be accurately evaluated, and reasonable traffic control measures can be made according to the evaluation result, so that urban traffic jam can be effectively prevented, and the traffic efficiency of urban roads is improved.
Further, the maximum traffic flow passing time tmThe calculation model of (2) is as follows:
wherein v ismA is a correction coefficient of Taylor expansion, and is the maximum speed of a vehicle when a target road section between two adjacent intersections reaches the maximum traffic capacity; l is*The maximum queuing length of the target road section in the traffic jam state is shown. In this example, vmA and L*Is a known quantity and is obtained by statistics. Through the calculation model, the maximum passing time t can be accurately determinedmThereby providing accurate basis for adjusting and controlling.
Further, the value of A is [0.8, 0.9 ]. In this embodiment, a is preferably 0.85.
Further, the method for establishing the calculation model of the average speed of the target road section comprises the following steps:
s31: establishing a traffic fluctuation model:
wherein, w1The wave velocity of the collective wave formed at the intersection; q. q.s2The traffic flow of a downstream intersection in two adjacent intersections; q. q.s1The real-time traffic capacity between two adjacent crossroads; v. of1Is the average speed of the target road section; v. of2The average vehicle speed of a downstream intersection in two adjacent intersections;
the traffic flow density of a target road section between two adjacent intersections;
the traffic flow density of a downstream intersection in two adjacent intersections;
s32: establishing the maximum vehicle queuing length L between two adjacent intersections*The calculation model of (1), said L*The calculation model of (a) is:
wherein, t1The time when the vehicle passes through a downstream intersection of two adjacent intersections; l is*The maximum queuing length of the target road section in the traffic jam state is obtained;
s33: establishing a Greener model representing the relation between speed and density and a traffic flow and vehicle speed relation model, and substituting the Greener model and the traffic flow and vehicle speed relation model into a formula (4) to obtain:
wherein the Greenbo model is
kjFor the density of the traffic, the density of the traffic at any moment can only be less than or equal to the density of the traffic kj(ii) a The traffic flow and vehicle speed relation model is q ═ kv; v. ofmThe speed when the target road section reaches the maximum traffic capacity is obtained; k is traffic flow density, q is traffic flow, and v is vehicle speed; in particular, by the Greener model
Is transformed to obtain
Further obtain
The final transformation is to obtain
The formula (5) can be obtained by substituting the formula (4).
S34: in the pair (5) of
The term is subjected to taylor expansion:
s35: substituting equation (6) into equation (5) yields:
s36: the transformation from (7) yields:
wherein Δ v is an average speed difference between the target road section and the downstream intersection of the target road section;
s37: correcting the error generated by Taylor expansion in the formula (8) to obtain:
wherein A is a correction coefficient of Taylor expansion;
s38: will be provided with
Substituting the formula (9) into the formula to obtain a calculation model of the average speed of the target road section. By the method, the average speed of the current target road section can be accurately determined, so that an accurate basis is provided for adjustment control, and the adjustment process is a dynamic process, so that the adaptability is stronger and the accuracy is higher.
Further, the maximum traffic flow passing time tmThe method for establishing the calculation model comprises the following steps:
s41: establishing the maximum traffic time t of the traffic flow of the target road sectionmThe calculation model of (a) is:
s42: the queuing length needs to satisfy the condition L*Can meet the normal traffic flow passing requirement if the sum of L and D is less than L, so the sum of L and D is replaced by L in the formula (9)*Obtaining:
s43: substituting the expression (11) into the expression (10) to obtain the maximum traffic flow passing time tmThe computational model of (1). By the method, the maximum passing time of the current target road section can be accurately determined, so that an accurate basis is provided for adjustment control, and the adjustment process is a dynamic process, so that the adaptability is stronger and the accuracy is higher.
Further, the actual traffic flow passing time t0The calculation model of (a) is:
by the method, the actual traffic flow passing time of the current target road section can be accurately determined, accurate basis is provided for adjustment control, and the adjustment process is a dynamic process, so that the adaptability is stronger and the accuracy is higher.
The above-mentioned mid-upstream and downstream indicate that, in the traveling direction, the intersection ahead of the vehicle is the downstream intersection, and the rear is the upstream intersection, as shown in fig. 2, the upstream intersection, J2 is the downstream intersection, and in the traffic fluctuation map in fig. 2, a is an evanescent wave generation point, b is a concentrated wave generation point, c is a point at which the maximum queue length appears, d is an evanescent wave end point, W1 is the traffic concentrated wave velocity, and W2 is the traffic evanescent wave velocity.
Finally, the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all of them should be covered in the claims of the present invention.
Claims (5)
1. A method for controlling the traffic flow running time of a road section is characterized by comprising the following steps: the method comprises the following steps:
s1: acquiring the length L of a target road section between two adjacent intersections and the intersection length D of a downstream intersection;
s2: collecting vehicle speed information of the downstream intersection, and calculating the average vehicle speed v of the downstream intersection2；
S3: substituting the information acquired and calculated in the steps S1 to S2 into a pre-established calculation model of the average vehicle speed of the target road section, and calculating the average vehicle speed v of the target road section1(ii) a The calculation model of the average speed of the target road section is as follows:
wherein A is a correction coefficient of Taylor expansion, vmThe maximum speed of the vehicle when the target road section between two adjacent intersections reaches the maximum traffic capacity is obtained; l is*The maximum queuing length of the target road section in the traffic jam state is obtained;
s4: substituting the information collected in steps S1-S3 and the calculated information into the previous informationEstablished maximum traffic flow passing time tmAnd the actual transit time t of the traffic flow0The actual traffic flow passing time t of the target road section between two adjacent intersections is calculated and obtained0And the maximum traffic flow passing time tm；
S5: the actual passing time t of the target road section between two adjacent crossroads0And a maximum transit time tmComparing, and adjusting the actual traffic flow passing time t of the target road section between two adjacent intersections according to the comparison result0；
Maximum traffic flow passing time tmThe calculation model of (2) is as follows:
wherein v ismA is a correction coefficient of Taylor expansion, and A is the maximum speed of the vehicle when the target road section between two adjacent intersections reaches the maximum traffic capacity.
2. The method for controlling the traffic flow travel time of a road section according to claim 1, characterized in that: the value of A is [0.8, 0.9 ].
3. The method for controlling the traffic flow travel time of a road section according to claim 1, characterized in that: the method for establishing the calculation model of the average speed of the target road section comprises the following steps:
s31: establishing a traffic fluctuation model:
wherein, w1The wave velocity of the collective wave formed at the intersection; q. q.s2The traffic flow of a downstream intersection in two adjacent intersections; q. q.s1The real-time traffic capacity between two adjacent crossroads; v. of1To the eyesAverage speed of the target road segment; v. of2The average vehicle speed of a downstream intersection in two adjacent intersections;
the traffic flow density of a target road section between two adjacent intersections;
the traffic flow density of a downstream intersection in two adjacent intersections;
s32: establishing the maximum vehicle queuing length L between two adjacent intersections*The calculation model of (1), said L*The calculation model of (a) is:
wherein, t1The time when the vehicle passes through a downstream intersection of two adjacent intersections; l is*The maximum queuing length of the target road section in the traffic jam state is obtained;
s33: establishing a Greener model representing the relation between speed and density and a traffic flow and vehicle speed relation model, and substituting the Greener model and the traffic flow and vehicle speed relation model into a formula (4) to obtain:
wherein the Greenbo model is
kjIs the blocking density; the traffic flow and vehicle speed relation model is q ═ kv; v. ofmThe speed when the target road section reaches the maximum traffic capacity is obtained; k is traffic flow density, q is traffic flow, and v is vehicle speed;
s34: in the pair (5) of
The term is subjected to taylor expansion:
s35: substituting equation (6) into equation (5) yields:
s36: the transformation from (7) yields:
wherein Δ v is an average speed difference between the target road section and the downstream intersection of the target road section;
s37: correcting the error generated by Taylor expansion in the formula (8) to obtain:
wherein A is a correction coefficient of Taylor expansion;
s38: will be provided with
And (5) substituting the equation (9) to obtain a calculation model of the average speed of the target road section.
4. The method for controlling the travel time of traffic flow on a road section according to claim 3, wherein: maximum traffic flow passing time tmThe method for establishing the calculation model comprises the following steps:
s41: establishing the maximum traffic time t of the traffic flow of the target road sectionmThe calculation model of (a) is:
s42: the queuing length needs to satisfy the condition L*<L + D can meet the normal traffic flow passing requirement, so the L + D is replaced by the L in the formula (9)*Obtaining:
s43: substituting the expression (11) into the expression (10) to obtain the maximum traffic flow passing time tmThe computational model of (1).
5. The method for controlling the traffic flow travel time of a road section according to claim 1, characterized in that:
the actual passing time t of the traffic flow0The calculation model of (a) is:
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910457548.1A CN110060480B (en) | 2019-05-29 | 2019-05-29 | Method for controlling traffic flow running time of road section |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910457548.1A CN110060480B (en) | 2019-05-29 | 2019-05-29 | Method for controlling traffic flow running time of road section |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110060480A CN110060480A (en) | 2019-07-26 |
| CN110060480B true CN110060480B (en) | 2021-09-07 |
Family
ID=67325028
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910457548.1A Active CN110060480B (en) | 2019-05-29 | 2019-05-29 | Method for controlling traffic flow running time of road section |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110060480B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114639255B (en) * | 2022-03-28 | 2023-06-09 | 浙江大华技术股份有限公司 | Traffic signal control method, device, equipment and medium |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001006090A (en) * | 1999-06-21 | 2001-01-12 | Matsushita Electric Ind Co Ltd | Traffic flow managing method |
| JP2003085687A (en) * | 2001-09-10 | 2003-03-20 | Sumitomo Electric Ind Ltd | Device for estimating time required for traveling between intersections |
| CN104157152A (en) * | 2014-08-13 | 2014-11-19 | 安徽科力信息产业有限责任公司 | Traffic signal optimization control method for vehicle queuing overflow state at road intersections |
| CN105390001A (en) * | 2015-10-20 | 2016-03-09 | 北京长峰金鼎科技有限公司 | Dynamic control method of traffic signal lamps |
| CN106710255A (en) * | 2017-02-16 | 2017-05-24 | 清华大学 | Control method and device for traffic signal and traffic signal system |
| CN107331172A (en) * | 2017-08-25 | 2017-11-07 | 青岛海信网络科技股份有限公司 | A kind of traffic phase adjusting method and device based on road traffic state |
| CN108389404A (en) * | 2018-04-25 | 2018-08-10 | 招商局重庆交通科研设计院有限公司 | Road traffic congestion administering method |
| CN109003444A (en) * | 2018-07-02 | 2018-12-14 | 北方工业大学 | Urban intersection overflow control method based on wide area radar microwave detector |
| CN109410601A (en) * | 2018-12-04 | 2019-03-01 | 北京英泰智科技股份有限公司 | Method for controlling traffic signal lights, device, electronic equipment and storage medium |
-
2019
- 2019-05-29 CN CN201910457548.1A patent/CN110060480B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001006090A (en) * | 1999-06-21 | 2001-01-12 | Matsushita Electric Ind Co Ltd | Traffic flow managing method |
| JP2003085687A (en) * | 2001-09-10 | 2003-03-20 | Sumitomo Electric Ind Ltd | Device for estimating time required for traveling between intersections |
| CN104157152A (en) * | 2014-08-13 | 2014-11-19 | 安徽科力信息产业有限责任公司 | Traffic signal optimization control method for vehicle queuing overflow state at road intersections |
| CN105390001A (en) * | 2015-10-20 | 2016-03-09 | 北京长峰金鼎科技有限公司 | Dynamic control method of traffic signal lamps |
| CN106710255A (en) * | 2017-02-16 | 2017-05-24 | 清华大学 | Control method and device for traffic signal and traffic signal system |
| CN107331172A (en) * | 2017-08-25 | 2017-11-07 | 青岛海信网络科技股份有限公司 | A kind of traffic phase adjusting method and device based on road traffic state |
| CN108389404A (en) * | 2018-04-25 | 2018-08-10 | 招商局重庆交通科研设计院有限公司 | Road traffic congestion administering method |
| CN109003444A (en) * | 2018-07-02 | 2018-12-14 | 北方工业大学 | Urban intersection overflow control method based on wide area radar microwave detector |
| CN109410601A (en) * | 2018-12-04 | 2019-03-01 | 北京英泰智科技股份有限公司 | Method for controlling traffic signal lights, device, electronic equipment and storage medium |
Non-Patent Citations (2)
| Title |
|---|
| 交通溢流智能协调控制算法;张立东 等;《系统工程》;20141231;第32卷(第12期);第140-144页 * |
| 基于交通波理论的干线相位差优化及其控制方法;曲大义 等;《吉林大学学报（工学版）》;20170331;第47卷(第2期);第429-437页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110060480A (en) | 2019-07-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107507415B (en) | Road network boundary current limiting control method based on MFD and queuing length under Internet of vehicles | |
| EP2286388B1 (en) | Dynamic pricing for toll lanes | |
| WO2018171464A1 (en) | Method, apparatus and system for planning vehicle speed according to navigation path | |
| CN108765981A (en) | A kind of real-time queue length prediction technique of divided lane | |
| CN106097718B (en) | Signalized intersections region transit time method of estimation based on GPS data | |
| CN105489018B (en) | A kind of intersection traffic signals control system method | |
| CN111145544B (en) | Travel time and route prediction method based on congestion spreading dissipation model | |
| CN110070721B (en) | Road node traffic flow traffic time control method based on traffic fluctuation theory | |
| CN108389405B (en) | Road traffic capacity control method | |
| CN111583629A (en) | Method for dividing traffic network | |
| CN110060480B (en) | Method for controlling traffic flow running time of road section | |
| CN108389404B (en) | Road traffic jam treatment method | |
| CN115063990A (en) | Dynamic speed limit control method for bottleneck section of highway in mixed traffic flow environment | |
| CN111127889A (en) | Continuous intersection collaborative optimization method based on traffic flow arrival time prediction | |
| Lu et al. | Novel algorithm for variable speed limits and advisories for a freeway corridor with multiple bottlenecks | |
| CN110047292A (en) | Road section congestion warning method | |
| CN108615372B (en) | Signal control optimization method in rainfall environment | |
| CN108806285B (en) | Intersection signal adjusting method and device based on array radar | |
| CN111091714B (en) | Traffic light signal control method based on vehicle-road cooperation | |
| JP5857389B2 (en) | Traffic index estimation device and computer program | |
| CN116129650B (en) | Traffic early warning system and method based on big data analysis | |
| WO2020151287A1 (en) | Highway travel time estimation method based on gm car following model | |
| JP3473478B2 (en) | Inflow ramp control device and inflow ramp control method | |
| CN113593222B (en) | Multi-source data supported traffic control diagnosis method | |
| CN114049761B (en) | Intersection control method based on intelligent variable lane |
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 |