CN113192320B - Open type community road traffic improvement condition analysis method - Google Patents

Open type community road traffic improvement condition analysis method Download PDF

Info

Publication number
CN113192320B
CN113192320B CN202110281093.XA CN202110281093A CN113192320B CN 113192320 B CN113192320 B CN 113192320B CN 202110281093 A CN202110281093 A CN 202110281093A CN 113192320 B CN113192320 B CN 113192320B
Authority
CN
China
Prior art keywords
cell
road
road network
node
community
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
Application number
CN202110281093.XA
Other languages
Chinese (zh)
Other versions
CN113192320A (en
Inventor
王炜
谢文杰
于维杰
苗迪
郑永涛
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.)
Southeast University
Original Assignee
Southeast University
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 Southeast University filed Critical Southeast University
Priority to CN202110281093.XA priority Critical patent/CN113192320B/en
Publication of CN113192320A publication Critical patent/CN113192320A/en
Application granted granted Critical
Publication of CN113192320B publication Critical patent/CN113192320B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125Traffic data processing
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137Measuring and analyzing of parameters relative to traffic conditions for specific applications

Landscapes

  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention discloses an open type community road traffic improvement condition analysis method, which comprises the following steps: step (1), constructing a community road network; step (2)) The total time taken by the vehicle to pass through the road network of the cell includes the sum T of the time taken by the vehicle to pass through the road area around the cell1And the sum of the time T of the vehicle passing through the road area inside the cell2(ii) a Total time T for vehicles to pass through road network of residential area before residential area is openedall′=T1Total time T for vehicles to pass through road network of residential area after residential area is openedall=T1+T2(ii) a Step (3) calculating C in step (2)ijAnd tij(ii) a Step (4), establishing an optimal distribution model of the traffic flow system according to the system optimal principle; step (5) according to step (3) and step (4), finding TallAnd T'allAnd establishing a community road network traffic improvement rate calculation model by taking the improvement rate eta of the time spent by vehicles passing through the community road network after the community is opened as the traffic improvement rate of the opened community to the community road network. The method can accurately analyze the influence of the opening of the community on the traffic of the surrounding roads.

Description

Open type community road traffic improvement condition analysis method
Technical Field
The invention relates to the technical field of urban road traffic, in particular to an open type community road traffic improvement condition analysis method.
Background
The open type community is characterized in that one or more roads in the closed type community are connected with an external municipal road for vehicles or pedestrians under the condition of ensuring normal operation conditions of accommodation, office work, rest, education and the like in the community. Whether the open cell can achieve the purposes of optimizing a road network structure, improving road traffic capacity and improving traffic conditions and how to improve the effect is always the key point of concern on the problems of whether the cell is open or not and the like, so the evaluation and analysis technology related to the cell opening has higher practical research value.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides an open type cell road traffic improvement condition analysis method.
The invention adopts the following technical scheme for solving the technical problems:
the invention provides an open type community road traffic improvement condition analysis method, which comprises the following steps:
step (1), constructing a community road network;
step (2), selecting the total time of the vehicles passing through the road network of the cell as a traffic condition operation index, wherein the total time comprises the sum T of the time of the vehicles passing through the road area around the cell1And the sum of the time T of the vehicle passing through the road area inside the cell2Two parts; total time T for vehicles to pass through road network of residential area before residential area is openedall′=T1Total time T for vehicles to pass through road network of residential area after residential area is openedall=T1+T2According to the traffic capacity C of the jth section of the ith area in the community road networkijAnd the vehicle running time t of the jth road section of the ith area in the community road networkijObtaining T1And T2(ii) a Wherein i is 1, 2; when i is 1, the 1 st area means a road area around the cell, when i is 2, the 2 nd area means a road area inside the cell, and j is 1,2 … biJ represents a link number included in the cell road network, biIndicating the number of segments of the ith area;
step (3) for C in step (2)ijAnd tijSequentially calculating;
Cijthe calculation formula of (a) is as follows:
Figure BDA0002978433420000011
wherein v isijThe driving speed of a vehicle in the jth section of the ith area in the community road network is represented, l represents the minimum distance between the heads of the vehicles, and t is the reaction time of a driver;
tijthe calculation formula of (a) is as follows:
Figure BDA0002978433420000021
wherein L isijRepresenting the travel distance of the vehicle on the jth road section of the ith area in the cell road network;
step (4), establishing an optimal distribution model of the traffic flow system according to the optimal principle of the system, wherein the model is described in detail as follows:
Figure BDA0002978433420000022
wherein z (Q) represents the total travel time of all vehicles passing through the cell road network when the set of arguments in formula (3) is Q, QijThe traffic volume of the jth road section of the ith area in the community road network; t is tij(qij) Is tijIs about qijA function of (a); p is a radical ofrsFor the traffic demand between the r-th node to the s-th node in the cell road network,
Figure BDA0002978433420000023
the traffic flow from the r node to the h path in the s node in the cell road network;
Figure BDA0002978433420000024
the correlation coefficient between the jth road section of the ith area in the community road network and the ith path from the r node to the s node in the community road network is obtained; if the jth section of the ith area in the community road network is on the ith path from the r node to the s node in the community road network, then
Figure BDA0002978433420000025
Otherwise
Figure BDA0002978433420000026
KrsCollecting all paths from the r node to the s node in the cell road network;
step (5) according toStep (3) and step (4) of obtaining TallAnd T'allAnd establishing a community road network traffic improvement rate calculation model by taking the improvement rate eta of the time spent by vehicles passing through the community road network after the community is opened as the traffic improvement rate of the opened community to the community road network:
Figure BDA0002978433420000027
when eta is less than 0, the traffic condition of the cell road network is poor after the cell is opened, when eta is 0, the traffic condition of the cell road network is not changed after the cell is opened, and when eta is more than 0, the traffic condition of the cell road network is improved, and the improvement rate is eta.
As a further optimization scheme of the open cell road traffic improvement condition analysis method, a cell road network is defined as a set G ═ (V, E, W), where the set V ═ V is set1,v2…,vpDenotes a set of nodes, vrDenotes the r-th node, r 1,2 …, p, p denotes the total number of nodes, and E { E ═ E }1,e2,…,emDenotes a section of a road between each adjacent node of the cell, eyDenotes the y-th link, y is 1,2 …, m denotes the total number of links, and the adjacency matrix W is (W)rs)p×p,(wrs)p×pA matrix representing a neighborhood relationship between an r-th node to an s-th node among the p nodes; w is arsRepresenting the adjacent relation between the r node and the s node, wherein r belongs to p, s belongs to p, when there is a road section between the r node and the s node, wrsIs equal to the travel time of the vehicle between the r node and the s node, and when no road section exists between the r node and the s node, wrsEqual to 0 or ∞.
The further optimization scheme of the open type community road traffic improvement condition analysis method is that in the step (2), T1The calculation formula of (2) is as follows:
Figure BDA0002978433420000031
T2the calculation formula of (2) is as follows:
Figure BDA0002978433420000032
wherein the non-motor vehicle influence factor
Figure BDA0002978433420000033
As a further optimization scheme of the open type community road traffic improvement condition analysis method, in the step (3), the parameter relation among the traffic flow, the driving speed and the traffic flow density is analyzed, and the driving speed v of the vehicle on the jth road section of the ith area in the community road network is analyzedijAnd (3) calculating:
Figure BDA0002978433420000034
in the formula, P1Indicating the number of exits between a road and a cell affecting a speed parameter, kijRepresenting the average density of vehicles in the ith area and the jth road section in the cell road network; p2Corrected speed parameter, P, representing the number of lanes of the road surrounding the cell3A speed influencing parameter representing the number of occupied lanes inside the cell.
As a further optimization scheme of the open cell road traffic improvement condition analysis method, in the step (4), based on the cell structure characteristics, a constraint is further set for a traffic flow distribution model, and the method comprises the following steps:
step (4.1), setting capacity limiting conditions for each road section (v)r,vs) E is in E, q is more than or equal to 0rsR is less than or equal to, wherein q isrsFor the r-th node v in the road network of the cellrTo the s-th node vsRoad section (v)r,vs) The upper traffic flow R represents the capacity of the road;
and (4.2) setting a traffic flow balance condition, and meeting the requirement that the inflow is equal to the outflow for the intersection nodes of the cell road network, namely meeting the requirement that each intersection node:
Figure BDA0002978433420000035
the vehicle enters the area of the cell and v isrAs cell entrance, v issAs cell egress, then for vrThere is:
Figure BDA0002978433420000036
for outlet vrExistence of
Figure BDA0002978433420000037
Wherein v (q) is denoted by vrActual net vehicle flow.
As a further optimization scheme of the open type community road traffic improvement condition analysis method, points and lines are respectively adopted to represent road nodes and road sections of a community, and the connection relation between the road nodes and the road sections is stored by adopting an adjacent matrix to construct a community road network.
Compared with the prior art, the invention adopting the technical scheme has the following technical effects:
the method can quantitatively evaluate and analyze the improvement condition of road traffic after the community is opened, and is suitable for the open community with any structural characteristics.
Drawings
Fig. 1 is a flowchart of an open cell road traffic improvement analysis technique.
Fig. 2 is a plan view of a cellular road network.
Fig. 3 is a connection relationship between a network node and a road segment of a cell road network.
Detailed Description
The technical scheme of the invention is further explained in detail by combining the attached drawings:
an open type community peripheral road traffic improvement condition analysis technology comprises the following steps: A. constructing a community traffic network and carrying out community structure analysis; B. determining traffic condition operation indexes of roads around a cell; C. analyzing the internal relation of the traffic operation condition indexes of roads around the community; D. traffic flow distribution based on cell heterogeneity architecture; E. establishing a traffic improvement rate calculation model of roads around a cell; F. and analyzing the traffic improvement condition of the surrounding roads after the community is opened.
The invention provides an open type analysis technology for improving the traffic condition of roads around a community, which is used for quantitatively evaluating and analyzing the influence of community opening on the traffic of the roads around the community and providing an analysis technology for evaluating the influence condition of the community opening on the traffic of the roads.
In the embodiment, a certain cell in the southeast of China is selected as a test object, the number of the entrances and exits of the cell is 3, the peripheral roads are two lanes, and the length and the width of the cell are 180m and 150m respectively.
The invention will be further elucidated with reference to the drawings in which:
as shown in fig. 1, an analysis technique for traffic improvement around an open cell includes the following steps:
and (1) respectively representing road nodes and road sections of the residential quarter by using points and lines, and storing the connection relation of the road nodes and the road sections by using an adjacent matrix to construct a residential quarter road network.
In the embodiment, a certain cell is selected as a test object, a cell plan is obtained based on a Baidu map, the number of entrances and exits of the cell is 3, surrounding roads are two lanes, and the length and the width of the cell are 180m and 150m respectively. As shown in fig. 2, the road nodes and road segments in the cell are represented by points and lines, respectively, and the cell road network is defined as a set G ═ (V, E, W), where the set V ═ V, respectively1,v2…,vpDenotes a set of nodes, vrDenotes the r-th node, r 1,2 …, p, p denotes the total number of nodes, and E { E ═ E }1,e2,…,emDenotes a section of a road between each adjacent node of the cell, eyIndicates the y-th roadSegment, y is 1,2 …, m denotes the total number of links, and the adjacency matrix W is (W)rs)p×p,(wrs)p×pA matrix representing the neighborhood relationship between the r-th node to the s-th node of the p nodes, wrsRepresenting the adjacent relation between the r node and the s node, wherein r belongs to p, s belongs to p, when there is a road section between the r node and the s node, wrsIs equal to the travel time of the vehicle between the r node and the s node, and when no road section exists between the r node and the s node, wrsEqual to 0 or ∞. Constructing a traffic network, as shown in fig. 3, storing the connection relationship between nodes and road sections in a cell in an adjacency matrix:
Figure BDA0002978433420000051
the rows and the columns represent road nodes, each element represents a connecting road section between the road nodes, the specific numerical value of each element represents the road connectivity, and when the value of each element is 0, no road section connectivity exists between the two road nodes.
Selecting the total time of the vehicles passing through the road network of the cell as a traffic condition operation index, wherein the total time comprises the sum T of the time of the vehicles passing through the road area around the cell1And the sum of the time T of the vehicle passing through the road area inside the cell2Two parts; total time T for vehicles to pass through road network of residential area before residential area is openedall′=T1Total time T for vehicles to pass through road network of residential area after residential area is openedall=T1+T2According to the traffic capacity C of the jth section of the ith area in the community road networkijAnd the vehicle running time t of the jth road section of the ith area in the community road networkijObtaining T1And T2(ii) a Wherein i is 1, 2; when i is 1, the 1 st area means a road area around the cell, when i is 2, the 2 nd area means a road area inside the cell, and j is 1,2 … biJ represents a link number included in the cell road network, biIndicating the number of segments of the ith area;
referring to the definition of road resistance proposed in FHWA in USA, the time sum T of the vehicle passing through the road around the cell is obtained1The calculation formula of (2) is as follows:
Figure BDA0002978433420000052
T2the calculation formula of (2) is as follows:
Figure BDA0002978433420000053
wherein the non-motor vehicle influence factor
Figure BDA0002978433420000054
In the embodiment, the total time of the vehicle passing through the district road network is selected as the traffic condition operation index, and the total time comprises two parts of the time sum of the vehicle passing through the road areas around the district and the time sum of the vehicle passing through the road areas inside the district.
Step (3) for C in step (2)ijAnd tijSequentially calculating;
Cijthe calculation formula of (a) is as follows:
Figure BDA0002978433420000055
wherein v isijThe driving speed of a vehicle in the jth section of the ith area in the community road network is represented, l represents the minimum distance between the heads of the vehicles, and t is the reaction time of a driver;
tijthe calculation formula of (a) is as follows:
Figure BDA0002978433420000061
wherein L isijRepresenting the travel distance of the vehicle on the jth road section of the ith area in the cell road network;
analyzing the parameter relation of the traffic flow, the driving speed and the traffic flow density, and carrying out analysis on the driving speed v of the vehicle on the jth road section of the ith area in the community road networkijAnd (3) calculating:
Figure BDA0002978433420000062
in the formula, P1Indicating the number of exits between a road and a cell affecting a speed parameter, kijRepresenting the average density of vehicles in the ith area and the jth road section in the cell road network; p2Corrected speed parameter, P, representing the number of lanes of the road surrounding the cell3A speed influencing parameter representing the number of occupied lanes inside the cell.
In this embodiment, step (4) is to establish an optimal distribution model of the traffic flow system according to the system optimal principle, and the model is specifically described as follows:
Figure BDA0002978433420000063
wherein z (Q) represents the total travel time of all vehicles passing through the cell road network when the set of arguments in formula (3) is Q, QijThe traffic volume of the jth road section of the ith area in the community road network; t is tijThe vehicle driving time is the vehicle driving time on the jth road segment of the ith area of the cell road network; t is tij(qij) Is tijIs about qijA function of (a); p is a radical ofrsFor the traffic demand between the r-th node to the s-th node in the cell road network,
Figure BDA0002978433420000064
the traffic flow from the r node to the h path in the s node in the cell road network;
Figure BDA0002978433420000065
the jth road section of the ith area in the community road network and the h node from the r node to the s node in the community road networkA correlation coefficient between the paths; if the jth section of the ith area in the community road network is on the ith path from the r node to the s node in the community road network, then
Figure BDA0002978433420000066
Otherwise
Figure BDA0002978433420000067
KrsCollecting all paths from the r node to the s node in the cell road network;
based on the cell structure characteristics, further setting constraints for the traffic flow distribution model, comprising the following steps:
step (4.1), setting capacity limiting conditions for each road section (v)r,vs) E is in E, q is more than or equal to 0rsR is less than or equal to, wherein q isrsFor the r-th node v in the road network of the cellrTo the s-th node vsRoad section (v)r,vs) The upper traffic flow R represents the capacity of the road;
and (4.2) setting a traffic flow balance condition, and meeting the requirement that the inflow is equal to the outflow for the intersection nodes of the cell road network, namely meeting the requirement that each intersection node:
Figure BDA0002978433420000068
the vehicle enters the area of the cell and v isrAs cell entrance, v issAs cell egress, then for vrThere is:
Figure BDA0002978433420000071
for outlet vrExistence of
Figure BDA0002978433420000072
In the formula, v (q) is calledIs v isrActual net vehicle flow.
As shown in fig. 3, the vehicles are driven from v before the cell is opened1To v8The average time consumed was 82 s. After the cell was opened, 33.45% of the vehicles selected to pass through the cell interior. Can derive T1Equal to 32.98s, T2Equal to 28.11 s.
And (5): taking the improvement rate eta of the time spent by vehicles passing through the community road network after the community is opened as the traffic improvement rate of the open community to the community road network, and establishing a community road network traffic improvement rate calculation model:
Figure BDA0002978433420000073
when eta is less than 0, the traffic condition of the cell road network is poor after the cell is opened, when eta is 0, the traffic condition of the cell road network is not changed after the cell is opened, and when eta is more than 0, the traffic condition of the cell road network is improved, and the improvement rate is eta. T isa'll=82s,Tall61.09s, 25.5%. According to the calculation result of the improvement rate, after the cell is opened, the traffic condition of the road network of the example cell is improved, and the specific improvement rate eta is 25.5%.
The above description is only for the specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention.

Claims (5)

1. An open cell road traffic improvement condition analysis method is characterized by comprising the following steps:
step (1), constructing a community road network;
step (2), selecting the total time of the vehicles passing through the road network of the cell as a traffic condition operation index, wherein the total time comprises the sum T of the time of the vehicles passing through the road area around the cell1And the sum of the time T of the vehicle passing through the road area inside the cell2Two parts; total time T for vehicles to pass through road network of residential area before residential area is openedall′=T1Total time T for vehicles to pass through road network of residential area after residential area is openedall=T1+T2According to the traffic capacity C of the jth section of the ith area in the community road networkijAnd the vehicle running time t of the jth road section of the ith area in the community road networkijObtaining T1And T2(ii) a Wherein i is 1, 2; when i is 1, the 1 st area means a road area around the cell, when i is 2, the 2 nd area means a road area inside the cell, and j is 1,2 … biJ represents a link number included in the cell road network, biIndicating the number of segments of the ith area;
step (3) for C in step (2)ijAnd tijSequentially calculating;
Cijthe calculation formula of (a) is as follows:
Figure FDA0003530138720000011
wherein v isijThe driving speed of a vehicle in the jth section of the ith area in the community road network is represented, l represents the minimum distance between the heads of the vehicles, and t is the reaction time of a driver;
tijthe calculation formula of (a) is as follows:
Figure FDA0003530138720000012
wherein L isijRepresenting the travel distance of the vehicle on the jth road section of the ith area in the cell road network;
step (4), establishing an optimal distribution model of the traffic flow system according to the optimal principle of the system, wherein the model is described in detail as follows:
Figure FDA0003530138720000013
wherein z (Q) represents the total travel time of all vehicles passing through the cell road network when the set of arguments in formula (3) is Q, QijThe traffic volume of the jth road section of the ith area in the community road network; t is tij(qij) Is tijIs about qijA function of (a); p is a radical ofrsFor the traffic demand between the r-th node to the s-th node in the cell road network,
Figure FDA0003530138720000014
the traffic flow from the r node to the h path in the s node in the cell road network;
Figure FDA0003530138720000015
the correlation coefficient between the jth road section of the ith area in the community road network and the ith path from the r node to the s node in the community road network is obtained; if the jth section of the ith area in the community road network is on the ith path from the r node to the s node in the community road network, then
Figure FDA0003530138720000016
Otherwise
Figure FDA0003530138720000021
KrsCollecting all paths from the r node to the s node in the cell road network;
step (5) of obtaining T according to the step (3) and the step (4)allAnd T'allAnd establishing a community road network traffic improvement rate calculation model by taking the improvement rate eta of the time spent by vehicles passing through the community road network after the community is opened as the traffic improvement rate of the opened community to the community road network:
Figure FDA0003530138720000022
when eta is less than 0, the traffic condition of the cell road network is poor after the cell is opened, when eta is 0, the traffic condition of the cell road network is not changed after the cell is opened, and when eta is more than 0, the traffic condition of the cell road network is improved after the cell is opened, and the improvement rate is eta;
in step (2), T1The calculation formula of (2) is as follows:
Figure FDA0003530138720000023
T2the calculation formula of (2) is as follows:
Figure FDA0003530138720000024
wherein the non-motor vehicle influence factor
Figure FDA0003530138720000025
2. The method as claimed in claim 1, wherein the cellular road network is defined as a set G ═ (V, E, W), where the set V ═ V —, in1,v2…,vpDenotes a set of nodes, vrDenotes the r-th node, r 1,2 …, p, p denotes the total number of nodes, and E { E ═ E }1,e2,…,emDenotes a section of a road between each adjacent node of the cell, eyDenotes the y-th link, y is 1,2 …, m denotes the total number of links, and the adjacency matrix W is (W)rs)p×p,(wrs)p×pA matrix representing a neighborhood relationship between an r-th node to an s-th node among the p nodes; w is arsRepresenting the adjacent relation between the r node and the s node, wherein r belongs to p, s belongs to p, when there is a road section between the r node and the s node, wrsIs equal to the travel time of the vehicle between the r node and the s node, and when no road section exists between the r node and the s node, wrsEqual to 0 or ∞.
3. The method of claim 1, wherein the method comprises: in the step (3), the parameter relation of the traffic flow, the driving speed and the traffic flow density is analyzed, and the driving speed v of the vehicle on the jth road section of the ith area in the community road network is measuredijAnd (3) calculating:
Figure FDA0003530138720000026
in the formula, P1Indicating the number of exits between a road and a cell affecting a speed parameter, kijRepresenting the average density of vehicles in the ith area and the jth road section in the cell road network; p2Corrected speed parameter, P, representing the number of lanes of the road surrounding the cell3A speed influencing parameter representing the number of occupied lanes inside the cell.
4. The method of claim 1, wherein the method comprises: in the step (4), based on the cell structure characteristics, further setting constraints for the traffic flow distribution model, including the following steps:
step (4.1), setting capacity limiting conditions for each road section (v)r,vs) E is in E, q is more than or equal to 0rsR is less than or equal to, wherein q isrsFor the r-th node v in the road network of the cellrTo the s-th node vsRoad section (v)r,vs) The upper traffic flow R represents the capacity of the road;
and (4.2) setting a traffic flow balance condition, and meeting the requirement that the inflow is equal to the outflow for the intersection nodes of the cell road network, namely meeting the requirement that each intersection node:
Figure FDA0003530138720000031
the vehicle enters the area of the cell and v isrAs cell entrance, v issAs cell exit, thenvrThere is:
Figure FDA0003530138720000032
for outlet vrExistence of
Figure FDA0003530138720000033
Wherein v (q) is denoted by vrActual net vehicle flow.
5. The method as claimed in claim 1, wherein in step (1), the points and lines are used to represent road nodes and road segments of the cell, respectively, and the adjacency matrix is used to store the connection relationship between the road nodes and the road segments, so as to construct the cell road network.
CN202110281093.XA 2021-03-16 2021-03-16 Open type community road traffic improvement condition analysis method Active CN113192320B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110281093.XA CN113192320B (en) 2021-03-16 2021-03-16 Open type community road traffic improvement condition analysis method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110281093.XA CN113192320B (en) 2021-03-16 2021-03-16 Open type community road traffic improvement condition analysis method

Publications (2)

Publication Number Publication Date
CN113192320A CN113192320A (en) 2021-07-30
CN113192320B true CN113192320B (en) 2022-04-22

Family

ID=76973307

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110281093.XA Active CN113192320B (en) 2021-03-16 2021-03-16 Open type community road traffic improvement condition analysis method

Country Status (1)

Country Link
CN (1) CN113192320B (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108108899A (en) * 2017-12-22 2018-06-01 南京信息工程大学 The evaluation model influenced based on open route in cell on peripheral path
CN108446490A (en) * 2018-03-19 2018-08-24 辽宁石油化工大学 A kind of open cell formula road optimum design method
CN109308559A (en) * 2018-03-20 2019-02-05 昆明理工大学 A kind of open evaluation method of the closed type through cutting road based on Monte Carlo EGS4 method
CN110414067A (en) * 2019-07-01 2019-11-05 东南大学 A method of considering that the cell inside and outside road of traffic safety is connected design
CN112016213A (en) * 2020-08-31 2020-12-01 哈尔滨工业大学 Closed cell opening decision method considering environmental influence

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108108899A (en) * 2017-12-22 2018-06-01 南京信息工程大学 The evaluation model influenced based on open route in cell on peripheral path
CN108446490A (en) * 2018-03-19 2018-08-24 辽宁石油化工大学 A kind of open cell formula road optimum design method
CN109308559A (en) * 2018-03-20 2019-02-05 昆明理工大学 A kind of open evaluation method of the closed type through cutting road based on Monte Carlo EGS4 method
CN110414067A (en) * 2019-07-01 2019-11-05 东南大学 A method of considering that the cell inside and outside road of traffic safety is connected design
CN112016213A (en) * 2020-08-31 2020-12-01 哈尔滨工业大学 Closed cell opening decision method considering environmental influence

Also Published As

Publication number Publication date
CN113192320A (en) 2021-07-30

Similar Documents

Publication Publication Date Title
CN108364467B (en) Road condition information prediction method based on improved decision tree algorithm
CN114049765B (en) Urban road network traffic flow OD estimation method based on automatic vehicle number plate identification data
CN106652441A (en) Urban road traffic condition prediction method based on spatial-temporal data
CN103984994B (en) Method for predicting urban rail transit passenger flow peak duration
CN109686091B (en) Traffic flow filling algorithm based on multi-source data fusion
CN106997669A (en) A kind of method of the judgement traffic congestion origin cause of formation of feature based importance
CN113724489B (en) Traffic jam tracing method based on multi-source data
CN109345434B (en) Method for evaluating design safety of external roads in open type community
CN111008505A (en) Urban ramp driving condition construction method and application
CN106488405A (en) A kind of position predicting method merging individuality and neighbour's movement law
CN112863182B (en) Cross-modal data prediction method based on transfer learning
CN107919014A (en) Taxi towards more carrying kilometres takes in efficiency optimization method
CN110149593A (en) Road network passenger flow state identification method based on Mobile Phone Signalling
CN112419711B (en) Closed parking lot parking demand prediction method based on improved GMDH algorithm
CN108345987B (en) Decision support system and method for evaluating influence of infrastructure construction projects of roads
CN105279967A (en) System and method for traffic operation index calculation
CN114881356A (en) Urban traffic carbon emission prediction method based on particle swarm optimization BP neural network optimization
CN112884014A (en) Traffic speed short-time prediction method based on road section topological structure classification
CN110070720B (en) Calculation method for improving fitting degree of traffic capacity model of intersection road occupation construction area
CN104821086B (en) Method for positioning low-efficient road section combination in large-scale traffic network
CN117238126A (en) Traffic accident risk assessment method under continuous flow road scene
CN116913088A (en) Intelligent flow prediction method for expressway
CN111710160A (en) Travel time prediction method based on floating car data
CN113192320B (en) Open type community road traffic improvement condition analysis method
CN112098869B (en) Self-adaptive electric vehicle SOC estimation method based on big data

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