CN103150894A - Control method for eliminating traffic jam of expressway principal line toll station through flow - Google Patents
Control method for eliminating traffic jam of expressway principal line toll station through flow Download PDFInfo
- Publication number
- CN103150894A CN103150894A CN2013100408251A CN201310040825A CN103150894A CN 103150894 A CN103150894 A CN 103150894A CN 2013100408251 A CN2013100408251 A CN 2013100408251A CN 201310040825 A CN201310040825 A CN 201310040825A CN 103150894 A CN103150894 A CN 103150894A
- Authority
- CN
- China
- Prior art keywords
- charging aperture
- traffic
- vehicle
- pass
- downstream
- 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
Links
Images
Abstract
The invention discloses a control method for eliminating traffic jam of an expressway principal line toll station through flow. At first, a real-time occupancy rate value is automatically obtained through a traffic flow detector arranged on a downstream road section of the expressway principal line toll station, whether the current traffic flow operation condition of a downstream principal line entrance is of supersaturation or not is judged through an occupancy rate, vehicle passing rates of current toll gates are automatically calculated through a control algorithm, and a cycle of a rising-falling rod is automatically controlled, so the fact that traffic jam is generated in principal line downstream due to excessively high vehicle passing rates at the toll gates is avoided. Therefore, the vehicle passing flow rate and the expressway passing efficiency are reduced. The control method overcomes the detects that the traffic jam is generated in the downstream due to the excessively high vehicle passing rates at the expressway principal line toll gates, can achieve maximization of the expressway principal line passing efficiency through automatic control, is easy to implement, and has a widely applied range and good application prospect.
Description
Technical field
The present invention relates to a kind of highway mainline toll station of eliminating traffic congestion by flow control methods, automatically control main line charging aperture vehicle percent of pass according to current traffic flow running rate, belong to traffic administration and intelligent transport technology field.
Background technology
Recent two decades comes, and China's expressway construction obtains develop rapidly, 2011 the end of the year China's highway total kilometrage reach 8.5 ten thousand kilometers, be sure to occupy the second place of the world.Along with the increase of socioeconomic development and the income of residents, China's motorization level development is swift and violent, and vehicle guaranteeding organic quantity increases sharply, and ends for the end of the year 2011, and national vehicle guaranteeding organic quantity is 2.25 hundred million, and wherein automobile is 1.06 hundred million; Whole nation vehicle driver reaches 2.36 hundred million people.Along with Expressway Development and vehicles number increase, the freeway traffic demand increases sharply, and highway is no longer the synonym of " safety at a high speed, ".The freeway traffic demand causes highway traffic congestion to take place frequently during greater than the traffic capacity, has not only reduced the highway traffic efficiency, and has increased conflict and friction between vehicle.Therefore, how to adopt intelligent transport technology to alleviate near the traffic congestion potential traffic bottlenecks of China's highway, the prevention traffic congestion generates and propagates, and becomes the major issue that needs to be resolved hurrily in China's freeway traffic regulation practice.
Generally be provided with charge station on China's highway main line, the upstream arrives vehicle and can select as the case may be the charging aperture that passes through, the rear vehicle of paying the fees to import highway downstream main line to continue current.Because transport need is larger, the vehicle rate of passing through when charging aperture is during greater than the downstream main line traffic capacity, cause vehicle to conflict and the friction aggravation when entering main line position, highway downstream with between other vehicles, cause traffic congestion and queuing phenomena to generate, and the dissipation rate of queuing vehicle traffic capacity lower than normal non-blocking up the time.In recent years, along with popularizing of intelligent tolling system for expressway (ETC), single charging aperture vehicle pass-through rate obviously improves; After the traffic policy issue of highway Toll Free festivals or holidays, single charging aperture vehicle percent of pass significantly improves, and has further aggravated the traffic congestion of charge station's downstream highway main line.Produce the series of negative effect after traffic congestion generates, make highway not give full play to its traffic capacity, reduced the usage level of Freeway Infrastructure.The present invention proposes be intended to eliminate traffic congestion the highway mainline toll station by flow control methods, can automatically control charge station according to traffic flow running rate optimum by vehicle number, avoid traffic congestion to generate, give full play to the highway traffic capacity.
Summary of the invention
Goal of the invention: by automatic detection freeway traffic flow running status, automatically regulate highway main line charging aperture vehicle percent of pass and maintain optimal level, thereby avoid main line position, downstream traffic congestion to generate and traffic capacity decline, improve the vehicle on highway traffic efficiency.Thereby overcome the defective that existing highway main line charging aperture vehicle percent of pass can't auto-control causes traffic congestion.The invention provides a kind of highway mainline toll station of eliminating traffic congestion and pass through flow control methods.
Technical scheme: a kind of highway mainline toll station of eliminating traffic congestion comprises the steps: by flow control methods
(1) gather main line entry position, charge station downstream real-time traffic flow data, judge the current time traffic flow running rate.
(2) judge according to historical traffic flow data and keep the occupation rate threshold value of downstream main line traffic flow running rate when the traffic capacity.
(3) according to main line entry position, downstream real-time traffic flow data, adopt the integration control algorithm automatically to calculate the optimum vehicle percent of pass of current each charging aperture.
(4) calculate the single charging aperture lifting lever optimum control cycle, the optimum vehicle percent of pass of single charging aperture according to step (3) calculates calculates the lifting lever optimum control cycle.
(5) complete after charging aperture vehicle percent of pass optimization is controlled in current lifting lever control cycle, within entering next cycle, repeating step (3) to the process of step (4) detects traffic flow occupancy threshold value in next cycle, automatically calculate the optimum vehicle percent of pass of each charging aperture in next cycle by the integration control algorithm, and calculate the single charging aperture lifting lever optimum control cycle, thereby the optimization of completing the charging aperture vehicle percent of pass of next cycle is controlled.As time goes on and constantly this control method regulates the vehicle percent of pass, can make the traffic of entry position, main line downstream keep unimpeded, avoids traffic congestion to occur, and prevents that the traffic capacity from descending.
In described step 1, by being arranged on the second detecting device of the first detecting device that downstream main line entrance goes out and the downstream that is located at the downstream main line, gather main line entry position, charge station downstream real-time traffic flow data, judgement current time traffic flow running rate; Described the first detecting device and the second detecting device detect on each track traffic flow speed, flow, the occupation rate data of every 30 seconds, and automatically with the data upload that detects to server.
In described step 2, draw the oblique accumulative total vehicle number temporal evolution figure that resamples according to historical traffic flow data, and the first detecting device and the second detector location occupation rate temporal evolution figure of place.Block up in order to ensure current that to generate the position be charge station's downstream main line entrance, need to guarantee that the first detector location place occupation rate significantly promotes simultaneously the second detector location place occupation rate and keeps present situation.Tiltedly the flex point in accumulative total vehicle number temporal evolution figure shows that namely traffic capacity decline produces, and is defined as the moment that the traffic capacity descends.Can differentiate in occupation rate temporal evolution figure that the traffic capacity descends occupation rate value constantly as the occupation rate threshold value, occupation rate significantly promotes afterwards, and the expression traffic congestion generates, and queuing phenomena occurs.According to historical traffic flow data, be in the maximum tonnage capacity level if keep the main line traffic flow, need to keep occupation rate at Near Threshold, with the calculating basis of this occupation rate threshold value as the optimum vehicle percent of pass of charging aperture.
In described step 3, described integration control algorithm is:
R wherein
i(t) be the t vehicle percent of pass (/ hour) of charging aperture i constantly, r
i(t-Δ t) is the t-Δ t vehicle percent of pass of charging aperture i constantly, and Δ t is Data Detection cycle (30 seconds), and a controls parameter automatically,
Be optimum occupation rate threshold value, o (t) is t occupation rate value constantly, and N is charging aperture quantity;
Be the retentive control Systems balanth, for vehicle percent of pass r
i(t) effective span is set, i.e. [r
Minimum value, r
Maximal value], r
Minimum valueBe set to 0, r
Maximal valueBe set to the maximum vehicle percent of pass of charging aperture; The charging aperture vehicle percent of pass of considering span is:
In described step 4, adopt following formula to calculate the lifting lever optimum control cycle:
T wherein
i(t) be the t i charging aperture lifting lever optimum control cycle constantly;
The purpose in the lifting lever optimum control cycle of calculating in formula (3) is to avoid too much vehicle simultaneously by charging aperture, causes main line position, downstream to generate traffic congestion and traffic capacity decline.In reality, each car needs certain hour by charging aperture, is labeled as T
i(k), need to coordinate to consider that each car is by time and the optimum control time of the needs of charging aperture.When vehicle is completed charge, time of producing by charging aperture during the cycle, controls lifting lever according to actual generation time greater than the lifting lever optimum control; When vehicle is completed chargeable time less than the lifting lever optimum control during cycle, control lifting lever according to the lifting lever optimum control cycle, that is:
Beneficial effect: the highway mainline toll station of the elimination traffic congestion that the present invention proposes passes through flow control methods, utilize freeway traffic flow automatic detection technology of parameter equipment to obtain the real-time traffic flow data, judge according to traffic flow data whether traffic flow running rate reaches dbjective state, calculate the optimum vehicle percent of pass of current charging aperture by automatic control algorithm, avoid the generation of traffic congestion.The example demonstration, the control method that the present invention proposes has good effect, is better than without highway traffic efficiency in the control situation.
Description of drawings
Fig. 1 is the method flow diagram of the embodiment of the present invention;
Fig. 2 is that the highway mainline toll station of the embodiment of the present invention arranges schematic diagram;
Fig. 3 is that in the embodiment of the present invention, the bottleneck traffic capacity based on traffic flow data descends and the occupation rate threshold value setting;
Fig. 4 is without controlling and adopting charging aperture to control rear traffic flow operation schematic diagram by the vehicle rate;
Fig. 5 is without controlling and adopting charging aperture to control the rear downstream main line magnitude of traffic flow and occupation rate situation by the vehicle rate; Wherein (a) is without the 1 position magnitude of traffic flow of detecting device in the control situation and occupation rate situation; (b) control the lower detecting device 1 position magnitude of traffic flow and occupation rate situation for optimal flux.
Embodiment
Below in conjunction with specific embodiment, further illustrate the present invention, should understand these embodiment only is used for explanation the present invention and is not used in and limits the scope of the invention, after having read the present invention, those skilled in the art all fall within the application's claims limited range to the modification of the various equivalent form of values of the present invention.
the highway mainline toll station of eliminating traffic congestion passes through flow control methods, utilize the traffic flow parameter automatic checkout equipment of main line entry position, freeway toll station downstream to obtain the real-time traffic flow data, judge according to the occupation rate data whether traffic flow running rate reaches dbjective state (being traffic capacity state), automatically calculate the optimum vehicle percent of pass of current each charging aperture according to the integration control algorithm, and automatically calculate each charging aperture lifting lever landing cycle, automatically regulate the current rate of charging aperture vehicle, thereby make downstream main line traffic flow operation keep unimpeded, give full play to the highway traffic capacity.Charge station can be with reference to figure 1 by the control method flow process of flow.
The first step is to gather main line entry position, charge station downstream real-time traffic flow data, judges the current time traffic flow running rate.Fundamental purpose of the present invention is in order to eliminate the vehicle congestion of charge station's downstream main line, to avoid producing traffic capacity decline phenomenon, thereby the vehicle pass-through efficient of downstream main line is maintained maximization.Therefore, the detecting device that is used for the judgement traffic flow modes must be arranged near the main line entrance of downstream, and as shown in detecting device in Fig. 21, the position that namely blocks up and generate at first during greater than the main line traffic capacity when demand is in order to effectively identify generation and the dissipation of blocking up.Result from main line porch, downstream in order to ensure current traffic congestion, and be not that the main line of more downstream position blocks up and propagates into the porch, the traffic flow detecting device need to be set in the main line downstream, as shown in detecting device in Fig. 22.The traffic flow detecting device must detect on each track traffic flow speed, flow, the occupation rate data of every 30 seconds automatically, and automatically data is uploaded onto the server.
Second step judges according to historical traffic flow data keeps the occupation rate threshold value of downstream main line traffic flow running rate when the traffic capacity.Draw the oblique accumulative total vehicle number temporal evolution figure that resamples according to historical traffic flow data, and two detecting devices (1,2) position occupation rate temporal evolution figure.Block up in order to ensure current that to generate the position be charge station's downstream main line entrance, detecting device 2 position occupation rates keep present situations need to guarantee significantly to promote detecting device 1 position occupation rate simultaneously.Tiltedly the flex point in accumulative total vehicle number temporal evolution figure shows that namely traffic capacity decline produces, and determines the moment that the traffic capacity descends.Occupation rate value in the time of can differentiating traffic capacity decline in occupation rate temporal evolution figure is as controlling threshold value, and occupation rate significantly promotes afterwards, and the expression traffic congestion generates, and queuing phenomena occurs.According to historical traffic flow data, be in the maximum tonnage capacity level if keep the main line traffic flow, need to keep occupation rate at Near Threshold, with the calculating basis of this occupation rate threshold value as the optimum vehicle percent of pass of charging aperture.
The real-time traffic flow data that the 3rd step detected according to detecting device 1 adopts the integration control algorithm automatically to calculate the optimum vehicle percent of pass of current each charging aperture.This control algolithm is:
R wherein
i(t) be the t vehicle percent of pass (/ hour) of charging aperture i constantly, r
i(t-Δ t) is the t-Δ t vehicle percent of pass of charging aperture i constantly, and Δ t is Data Detection cycle (30 seconds), and a controls parameter automatically,
Be optimum occupation rate threshold value, o (t) is t occupation rate value constantly, and N is charging aperture quantity;
Be the retentive control Systems balanth, set for effective span of vehicle percent of pass ri (t), i.e. [r
Minimum value, r
Maximal value], r
Minimum valueBe set to 0, r
Maximal valueBe set to the maximum vehicle percent of pass of charging aperture.The charging aperture vehicle percent of pass of considering span is:
The single charging aperture lifting lever optimum control cycle of four-step calculation, the optimum vehicle percent of pass of single charging aperture according to the 3rd step calculated, adopt following formula to calculate the lifting lever optimum control cycle:
T wherein
i(t) be the t i charging aperture lifting lever optimum control cycle constantly.
The purpose in the lifting lever optimum control cycle of calculating in formula (3) is to avoid too much vehicle simultaneously by charging aperture, causes main line position, downstream to generate traffic congestion and traffic capacity decline.In reality, each car needs certain hour by charging aperture, is labeled as T
i(k), need to coordinate to consider that each car is by time and the optimum control time of the needs of charging aperture.When vehicle is completed charge, time of producing by charging aperture during the cycle, controls lifting lever according to actual generation time greater than optimum control; When vehicle is completed chargeable time less than optimum control during the cycle, control lifting lever according to the optimum control cycle, that is:
The 5th step completed after charging aperture vehicle percent of pass optimization is controlled in current control cycle, within system enters next cycle, repeat the process in the 3rd step to the 4th step, the traffic flow detecting device detects traffic flow occupancy numerical value in next cycle, automatically calculate each charging aperture vehicle percent of pass in next cycle by optimal control algorithm in uploading onto the server, and calculate the single charging aperture lifting lever optimum control cycle, thereby the charging aperture vehicle of completing next cycle is controlled by the optimization of flow rate.As time goes on and constantly this control algolithm regulates the vehicle percent of pass, can make the traffic of entry position, main line downstream keep unimpeded, avoids traffic congestion to occur, and prevents that the traffic capacity from descending.
Below in conjunction with accompanying drawing, the method to set up of invention has been carried out the example demonstration:
Certain highway main line charging aperture and Loop detector layout situation as shown in Figure 2, the traffic flow occupancy numerical value of detecting device 1 position is used for calculating optimum vehicle percent of pass, the traffic flow occupancy of detecting device 2 positions is used for guaranteeing that the main line downstream is without traffic congestion.The oblique accumulative total vehicle number temporal evolution figure that draws according to true traffic flow data and two detector location occupation rate temporal evolution figure are as shown in Figure 3.Detecting device 1 position occupation rate promotes significantly simultaneously that detecting device 2 position occupation rates keep present situations, shows currently to block up that to generate the position be charge station's downstream main line entrance.Tiltedly the flex point in the figure of accumulative total vehicle number shows that namely traffic capacity decline produces, and the traffic capacity is 2160/hour/track before descending as can be drawn from Figure 3, is 1980/hour/track after decline, and the moment that the traffic capacity descends is 17:07:30.Can find in occupation rate temporal evolution figure, when the traffic capacity descended, occupation rate was 17, and occupation rate significantly promotes afterwards, and the expression traffic congestion generates, and queuing phenomena occurs.Therefore, show according to historical traffic flow data, be in the maximum tonnage capacity level if keep the main line traffic flow, need to keep occupation rate near 17, occupation rate is worth 17 as optimum occupation rate threshold value, as the calculating basis of the optimum vehicle percent of pass of charging aperture.
Without in the control situation and adopted in charging aperture flow control situation traffic flow ruuning situation schematic diagram as shown in Figure 4.Can find out, do not adopt in the situation of control, because more vehicle passes through charging aperture, near causing downstream main line entrance, current demand is greater than the traffic capacity, produced more serious interference and friction between vehicle, traffic congestion produces and queuing phenomena produces, and causes the magnitude of traffic flow of downstream main line lower, namely produce traffic capacity decline phenomenon, affected whole traffic efficiency.After adopting the charging aperture flow control, as shown in the figure, vehicle by charging aperture reduces, make disturb between Vehicle Driving Cycle in merge area less, do not produce travel between vehicle conflict and traffic congestion in main line entry position, downstream, make the downstream main line magnitude of traffic flow maintain near the traffic capacity, thereby effectively stoped the traffic congestion generation.
Highway main line charging aperture carried out according to the inventive method the vehicle percent of pass control before and afterwards, the magnitude of traffic flow of main line entrance detecting device 1 position, downstream and the contrast of occupation rate are as shown in Figure 5.Can find, after adopting control, the magnitude of traffic flow of downstream main line is improved significantly, and the occupation rate value is lower, show that the present invention has effectively prevented the traffic congestion of main line entry position, downstream, prevent the traffic capacity decline phenomenon that between the queuing vehicle, the phase mutual interference causes, given full play to the traffic capacity of highway, improved vehicle pass-through efficient.
The present invention meets the growth requirement of China's freeway traffic regulation.In recent years, along with the rapid raising that fast development and the vehicle of expressway construction has level, the highway traffic congestion situation frequently occurs, and causes a series of serious consequences, comprises the reduction of traffic efficiency and the increase of traffic hazard.Along with the development of intelligent toll system (ETC) and the traffic policy issue of highway Toll Free festivals or holidays, the vehicle of following highway main line charging aperture position will improve greatly by efficient, if do not adopt control, will cause the serious traffic congestion of charge station's downstream highway main line, greatly reduce the traffic efficiency of highway.The present invention proposes be intended to eliminate traffic congestion the highway mainline toll station by flow control methods, can automatically control charge station according to traffic flow running rate optimum by vehicle number, avoid traffic congestion to generate, give full play to the highway traffic capacity.Therefore, the present invention has important use value and good application prospect at China's freeway traffic regulation and controlling party mask.
Claims (4)
1. a highway mainline toll station of eliminating traffic congestion by flow control methods, is characterized in that, comprises the steps:
(1) gather main line entry position, charge station downstream real-time traffic flow data, judge the current time traffic flow running rate;
(2) judge according to historical traffic flow data and keep the occupation rate threshold value of downstream main line traffic flow running rate when the traffic capacity;
(3) according to main line entry position, downstream real-time traffic flow data, adopt the integration control algorithm automatically to calculate the optimum vehicle percent of pass of current each charging aperture;
(4) calculate the single charging aperture lifting lever optimum control cycle, the optimum vehicle percent of pass of single charging aperture according to step (3) calculates calculates the lifting lever optimum control cycle;
(5) complete after charging aperture vehicle percent of pass optimization is controlled in current lifting lever control cycle, within entering next cycle, repeating step (3) to the process of step (4) detects traffic flow occupancy threshold value in next cycle, automatically calculate the optimum vehicle percent of pass of each charging aperture in next cycle by the integration control algorithm, and calculate the single charging aperture lifting lever optimum control cycle, thereby the optimization of completing the charging aperture vehicle percent of pass of next cycle is controlled.
2. the highway mainline toll station of elimination traffic congestion as claimed in claim 1 passes through flow control methods, it is characterized in that, in described step 1, by being arranged on the second detecting device of the first detecting device that downstream main line entrance goes out and the downstream that is located at the downstream main line, gather main line entry position, charge station downstream real-time traffic flow data, judgement current time traffic flow running rate; Described the first detecting device and the second detecting device detect on each track traffic flow speed, flow, the occupation rate data of every 30 seconds, and automatically with the data upload that detects to server.
3. the highway mainline toll station of elimination traffic congestion as claimed in claim 1 passes through flow control methods, it is characterized in that, in described step 2, draw the oblique accumulative total vehicle number temporal evolution figure that resamples according to historical traffic flow data, and the first detecting device and the second detector location occupation rate temporal evolution figure of place; Flex point in described oblique accumulative total vehicle number temporal evolution figure is defined as the moment that the traffic capacity descends, in occupation rate temporal evolution figure, the traffic capacity is descended occupation rate value constantly as the occupation rate threshold value, occupation rate significantly promotes afterwards, and the expression traffic congestion generates, and queuing phenomena occurs.
4. the highway mainline toll station of elimination traffic congestion as claimed in claim 1 by flow control methods, is characterized in that, in described step 3, described integration control algorithm is:
R wherein
i(t) be the t vehicle percent of pass (/ hour) of charging aperture i constantly, r
i(t-Δ t) is the t-Δ t vehicle percent of pass of charging aperture i constantly, and Δ t is Data Detection cycle (30 seconds), and a controls parameter automatically,
Be optimum occupation rate threshold value, o (t) is t occupation rate value constantly, and N is charging aperture quantity;
Be the retentive control Systems balanth, for vehicle percent of pass r
i(t) effective span is set, i.e. [r
Minimum value, r
Maximal value], r
Minimum valueBe set to 0, r
Maximal valueBe set to the maximum vehicle percent of pass of charging aperture; The charging aperture vehicle percent of pass of considering span is:
In described step 4, adopt following formula to calculate the lifting lever optimum control cycle:
T wherein
i(t) be the t i charging aperture lifting lever optimum control cycle constantly;
In reality, each car needs certain hour by charging aperture, is labeled as T
i(k), need to coordinate to consider that each car is by time and the optimum control time of the needs of charging aperture; When vehicle is completed charge, time of producing by charging aperture during the cycle, controls lifting lever according to actual generation time greater than the lifting lever optimum control; When vehicle is completed chargeable time less than the lifting lever optimum control during cycle, control lifting lever according to the lifting lever optimum control cycle, that is:
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310040825.1A CN103150894B (en) | 2013-02-01 | 2013-02-01 | Control method for eliminating traffic jam of expressway principal line toll station through flow |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310040825.1A CN103150894B (en) | 2013-02-01 | 2013-02-01 | Control method for eliminating traffic jam of expressway principal line toll station through flow |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103150894A true CN103150894A (en) | 2013-06-12 |
| CN103150894B CN103150894B (en) | 2015-07-15 |
Family
ID=48548927
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310040825.1A Active CN103150894B (en) | 2013-02-01 | 2013-02-01 | Control method for eliminating traffic jam of expressway principal line toll station through flow |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103150894B (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103310120A (en) * | 2013-07-10 | 2013-09-18 | 东南大学 | Transport service level based method for determining section congestion charge rates |
| CN104966324A (en) * | 2015-07-13 | 2015-10-07 | 东南大学 | Highway toll station automatic release system based on free release boundary and method thereof |
| CN108665707A (en) * | 2018-05-24 | 2018-10-16 | 金陵科技学院 | It is a kind of prevent local traffic congestion expressway access shunting and flow cooperative control method |
| CN109064754A (en) * | 2018-10-10 | 2018-12-21 | 南京宁昱通交通科技有限公司 | A kind of expressway access shunts and flow Collaborative Control technology |
| CN109584560A (en) * | 2018-12-20 | 2019-04-05 | 四川睿盈源科技有限责任公司 | A kind of traffic control adjusting method and system based on freeway traffic detection |
| CN110245423A (en) * | 2019-06-14 | 2019-09-17 | 重庆大学 | Discharge relation analysis method between a kind of freeway toll station |
| CN114005274A (en) * | 2021-10-21 | 2022-02-01 | 浙江综合交通大数据开发有限公司 | Expressway toll station graded linkage management and control method based on equivalent weight of passenger car |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000036096A (en) * | 1998-07-21 | 2000-02-02 | Matsushita Electric Ind Co Ltd | Traffic control method and device |
| CN102081846A (en) * | 2011-02-22 | 2011-06-01 | 交通运输部公路科学研究所 | Expressway charge data track matching based traffic state recognition method |
| CN102521891A (en) * | 2011-12-06 | 2012-06-27 | 北京万集科技股份有限公司 | Method and system for detecting vehicle congestion at toll station |
| CN102800198A (en) * | 2012-08-15 | 2012-11-28 | 重庆大学 | Measuring and calculating method for traffic flow of section of expressway |
-
2013
- 2013-02-01 CN CN201310040825.1A patent/CN103150894B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000036096A (en) * | 1998-07-21 | 2000-02-02 | Matsushita Electric Ind Co Ltd | Traffic control method and device |
| CN102081846A (en) * | 2011-02-22 | 2011-06-01 | 交通运输部公路科学研究所 | Expressway charge data track matching based traffic state recognition method |
| CN102521891A (en) * | 2011-12-06 | 2012-06-27 | 北京万集科技股份有限公司 | Method and system for detecting vehicle congestion at toll station |
| CN102800198A (en) * | 2012-08-15 | 2012-11-28 | 重庆大学 | Measuring and calculating method for traffic flow of section of expressway |
Non-Patent Citations (1)
| Title |
|---|
| 梁夏: "上海高速公路收费站拥堵状况和扩容改造措施", 《中国市政工程》, no. 4, 31 August 2010 (2010-08-31), pages 4 - 5 * |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103310120A (en) * | 2013-07-10 | 2013-09-18 | 东南大学 | Transport service level based method for determining section congestion charge rates |
| CN103310120B (en) * | 2013-07-10 | 2016-08-31 | 东南大学 | A kind of method determining section congestion-pricing rate based on level of service |
| CN104966324A (en) * | 2015-07-13 | 2015-10-07 | 东南大学 | Highway toll station automatic release system based on free release boundary and method thereof |
| CN108665707A (en) * | 2018-05-24 | 2018-10-16 | 金陵科技学院 | It is a kind of prevent local traffic congestion expressway access shunting and flow cooperative control method |
| CN108665707B (en) * | 2018-05-24 | 2020-11-27 | 金陵科技学院 | Expressway entrance diversion and flow cooperative control method for preventing local traffic jam |
| CN109064754A (en) * | 2018-10-10 | 2018-12-21 | 南京宁昱通交通科技有限公司 | A kind of expressway access shunts and flow Collaborative Control technology |
| CN109584560A (en) * | 2018-12-20 | 2019-04-05 | 四川睿盈源科技有限责任公司 | A kind of traffic control adjusting method and system based on freeway traffic detection |
| CN110245423A (en) * | 2019-06-14 | 2019-09-17 | 重庆大学 | Discharge relation analysis method between a kind of freeway toll station |
| CN110245423B (en) * | 2019-06-14 | 2023-01-31 | 重庆大学 | Method for analyzing flow relation between highway toll stations |
| CN114005274A (en) * | 2021-10-21 | 2022-02-01 | 浙江综合交通大数据开发有限公司 | Expressway toll station graded linkage management and control method based on equivalent weight of passenger car |
| CN114005274B (en) * | 2021-10-21 | 2023-03-03 | 浙江综合交通大数据开发有限公司 | Expressway toll station graded linkage management and control method based on equivalent weight of passenger car |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103150894B (en) | 2015-07-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103150894A (en) | Control method for eliminating traffic jam of expressway principal line toll station through flow | |
| CN104103180B (en) | City expressway enters ring road and main line synergistic signal control system and method | |
| CN103700251B (en) | Variable speed-limit and ramp metering rate coordinating and optimizing control method on a kind of through street | |
| US11069233B1 (en) | Video-based main road cooperative signal machine control method | |
| CN102542823B (en) | Expressway variable speed limit control method on basis of operation state of traffic flow | |
| CN103186984B (en) | Method for triggering transformation of steering function of variable guidance lanes at urban intersections | |
| CN103280113B (en) | Self-adaptive intersection signal control method | |
| CN103150930B (en) | For the rear-end collision real-time predicting method of the normal property the sent out congested link of through street | |
| CN104778844B (en) | The traffic signal control method that a kind of highway closure construction region piggybacking is current | |
| US10699568B1 (en) | Video-based crossroad signal machine control method | |
| CN105225500A (en) | A kind of traffic control aid decision-making method and device | |
| CN201278215Y (en) | Adaptive entrance ramp afflux control appliance for road | |
| CN105336183A (en) | Traffic congestion control method and device based on road section passing capacity | |
| CN113160582B (en) | Highway flow management and control method and system | |
| CN101299298A (en) | Road self-adapting entrance ramp afflux control equipment and method | |
| CN107730937A (en) | The tunnel gateway dynamic vehicle speed abductive approach that a kind of street accidents risks minimize | |
| CN103093636B (en) | Expressway turning segment variable velocity-limiting control method | |
| CN104157147A (en) | Traffic signaling equipment and detection and control method and system for traffic incidents in tunnels | |
| CN102005124A (en) | Method and device for controlling traffic signals of intersections | |
| CN103606284B (en) | A kind of intelligent ring road entrance traffic demand combined control system and method | |
| CN103810868A (en) | Traffic overflow inhibition method based on high altitude video information | |
| CN105279980A (en) | Method for judging whether signal control intersection adapts to continuous flow intersection transformation | |
| CN102637364A (en) | Adaptive signal method capable of avoiding deadlock of intersection and device | |
| CN108573607A (en) | A kind of traffic light control system and method | |
| CN109377751A (en) | A kind of non-separation guardrail control system of Intelligent road machine and method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |