CN111199645A - Traffic flow organization optimization method for urban expressway intersection area - Google Patents
Traffic flow organization optimization method for urban expressway intersection area Download PDFInfo
- Publication number
- CN111199645A CN111199645A CN202010024318.9A CN202010024318A CN111199645A CN 111199645 A CN111199645 A CN 111199645A CN 202010024318 A CN202010024318 A CN 202010024318A CN 111199645 A CN111199645 A CN 111199645A
- Authority
- CN
- China
- Prior art keywords
- traffic
- traffic flow
- area
- road
- organization optimization
- 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.)
- Withdrawn
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
-
- 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
Landscapes
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a traffic flow organization optimization method for an urban expressway intersection area, which is characterized in that actual traffic volume, delay, travel speed, linearity and other data of the intersection area are collected, an optimization scheme is specifically formulated according to the actual situation of the intersection area and then simulated data is carried out on the optimization scheme, an optimal scheme is determined by combining with traffic flow characteristic indexes, and the traffic capacity and the service level of the intersection area are improved.
Description
Technical Field
The invention belongs to the technical field of urban road network optimization methods, and particularly relates to a traffic flow organization optimization method for an urban expressway intersection area.
Background
With the continuous improvement of urban road network systems in recent years, more and more express ways are continuously abbreviated and bear the main traffic flow in cities. The river flow area of the expressway is a key part in the expressway network, the congestion of the confluence Qu often reaches the upstream road section of the main line, the road section of the afflux circle and the like, the six intersection areas mainly take the intersection area as a main area which mainly hinders normal driving of vehicles, and the vehicles in the intersection area can intensively accelerate and decelerate and change lanes in a short time, so that the traffic capacity of the intersection area is seriously influenced.
Disclosure of Invention
Aiming at the defects in the prior art, the traffic flow organization optimization method for the urban expressway intersection area provided by the invention solves the problems of poor traffic capacity and low service level of the existing intersection area.
In order to achieve the purpose of the invention, the invention adopts the technical scheme that: a traffic flow organization optimization method for an urban expressway intersection area comprises the following steps:
s1, road data acquisition is carried out on the urban expressway intersection area;
the road data comprises road geometric characteristics and road traffic characteristics;
s2, determining a traffic flow characteristic evaluation index according to the road traffic characteristics;
s3, determining a plurality of traffic flow organization optimization schemes according to the geometric characteristics of the roads;
s4, performing simulation on each traffic flow organization scheme respectively, and determining corresponding simulation data;
and S5, evaluating the simulation data corresponding to each traffic flow organization optimization scheme through the traffic flow characteristic evaluation indexes, determining the optimal traffic flow organization optimization scheme and the travel speed corresponding to the scheme, and realizing the traffic flow organization optimization.
Further, the road geometric characteristics in the step S1 include the geometric parameters of the interleaved zone and the type of the interleaved zone;
the geometric parameters of the interleaving region comprise the length of the interleaving region and the variation condition of the number of the combined lanes;
the type of the interleaving region comprises:
and (3) an A-type interweaving area: the vehicles enter the ramp and then exit the ramp, an auxiliary lane exists in the middle of the ramp, and the vehicles running on the intersection zone can leave the auxiliary lane only by performing lane change once, so that the vehicles enter a road trunk or leave the road trunk;
b-type interweaving area: the interweaving vehicles in one direction can complete interweaving operation without changing lanes, but the interweaving vehicles in the other direction can enter the road trunk or leave the road trunk by changing lanes at most once;
c-type interweaving area: the interweaving vehicles in one direction can complete interweaving operation without changing lanes, and the interweaving vehicles in the other direction can complete interweaving operation only by changing lanes twice or more.
Further, the road traffic characteristics in the step S1 include traffic volume data and trip vehicle speed;
the traffic data comprises total traffic of the interleaved area, interleaved traffic flow at the confluence and alternating current and direct current at the lane change position.
Further, the evaluation index for the traffic flow characteristics in the step S2 includes the traffic capacity, the vehicle speed, and the intersection service level.
Further, obtaining the traffic capacity through an HCM interlacing area traffic capacity calculation model;
in the HCM interlacing area traffic capacity calculation model, the maximum interlacing length is as follows:
Lmax=[1746×(1+VR)1.6]-[477×NWL]
in the formula: a VR interlace flow ratio;
NWLthe number of interlaced lanes;
in the HCM interlacing area traffic capacity calculation model, when the average traffic flow density K of the interlacing area is 27pcu/h/ln, the traffic capacity C isWThe calculation formula of (2) is as follows:
CW=CIWL×N×fhv×fp
wherein N is the traffic volume;
fhvcorrecting parameters for traffic composition;
fpcorrecting the coefficients for the driver;
CIWLideal traffic capacity for the interlacing area, and CIWL=CIFL-[438.2×(1+VR)1.6]+[0.251×LS]+[119.9×NWL],CIFLThe basic road section traffic capacity L is the same at the same free flow speedSIs the interleaving area length;
the formula for calculating the running speed is as follows:
SW=24+(SFF-16)/(1+WI)
in the formula, SWAverage vehicle speed in the intersection zone, SFFIs the free flow velocity;
WI=[a(1+VR)b(v/N)c]/(3.28Ls)dVR is the interleaving flow ratio, v is the total flow of the interleaving area, N is the total number of lanes of the interleaving area, and L issA, b, c and d are model constants for the length of the interweaving zone;
the calculation formula of the service level (v/c) of the interleaving area is as follows:
(v/c)=V*fHV*fP/CW
where V is the interleave flow rate.
Further, in the step S3, a traffic flow organization diagram is drawn by combining the road geometric characteristics, so as to determine a traffic flow organization optimization scheme;
the traffic flow organization optimization scheme comprises a traffic flow organization optimization scheme based on an elevated direction lane, a safety traffic flow organization optimization scheme based on the junction of an elevated road and a ramp and a traffic flow organization optimization scheme based on the ramp direction;
the traffic flow organization optimization scheme based on the elevated direction lane is a scheme that a free flow lane and three lanes with interlaced flow form a three-lane combination at the entrance of a tunnel;
the safety traffic flow organization optimization scheme based on the junction of the elevated road and the ramp is a scheme that two interlaced flow lanes and two interlaced flow lanes are converged into three lanes at the entrance of the tunnel;
the traffic flow organization optimization scheme based on the ramp direction is a scheme that three interlaced flow lanes and one free flow lane are interlaced into three lanes at the entrance of a tunnel.
Further, in step S4, simulating the determined traffic flow organization optimization schemes by using the Vissim software, and determining corresponding simulation data;
the simulation data includes queue length, maximum queue length, LOS, vehicle delay average, and number of stops.
The invention has the beneficial effects that:
according to the traffic flow organization optimization method for the urban expressway intersection area, the actual traffic volume, delay, travel speed, linearity and other data of the intersection area are collected, the optimization scheme is specifically formulated according to the actual situation of the intersection area and then simulated data is carried out, the optimal scheme is determined by combining with traffic flow characteristic indexes, and the traffic capacity and the service level of the intersection area are improved.
Drawings
Fig. 1 is a flow chart of an implementation of a traffic flow organization optimization method for an urban expressway intersection area provided by the invention.
Fig. 2 is a schematic diagram of the a-type interleaving region provided in the present invention.
Fig. 3 is a schematic diagram of a B-type interleaving region provided in the present invention.
Fig. 4 is a schematic diagram of a C-shaped interleaving area provided by the present invention.
Detailed Description
The following description of the embodiments of the present invention is provided to facilitate the understanding of the present invention by those skilled in the art, but it should be understood that the present invention is not limited to the scope of the embodiments, and it will be apparent to those skilled in the art that various changes may be made without departing from the spirit and scope of the invention as defined and defined in the appended claims, and all matters produced by the invention using the inventive concept are protected.
As shown in fig. 1, a traffic flow organization optimization method for an urban expressway intersection area includes the following steps:
s1, road data acquisition is carried out on the urban expressway intersection area;
the road data comprises road geometric characteristics and road traffic characteristics;
s2, determining a traffic flow characteristic evaluation index according to the road traffic characteristics;
s3, determining a plurality of traffic flow organization optimization schemes according to the geometric characteristics of the roads;
s4, performing simulation on each traffic flow organization scheme respectively, and determining corresponding simulation data;
and S5, evaluating the simulation data corresponding to each traffic flow organization optimization scheme through the traffic flow characteristic evaluation indexes, determining the optimal traffic flow organization optimization scheme and the travel speed corresponding to the scheme, and realizing the traffic flow organization optimization.
The road geometric characteristics in the step S1 include the geometric parameters of the interleaved area and the type of the interleaved area;
the geometric parameters of the interleaving region comprise the length of the interleaving region and the variation condition of the number of the resultant flow lanes;
the service level of the interleaving area can be seriously influenced by the lane change of the vehicle in the interleaving area, so the lane change becomes a main operation characteristic influencing the interleaving area and also becomes a key factor influencing the configuration of the interleaving area, and the types of the common interleaving areas comprise three types, which mainly comprise:
and (3) an A-type interweaving area: as shown in fig. 2, the vehicles are driven out of the ramp immediately after entering the ramp, an auxiliary lane exists in the middle, and the vehicles running on the intersection zone can leave the auxiliary lane only by performing lane change once, so as to enter the road trunk or leave the road trunk;
b-type interweaving area: as shown in fig. 3, the interlaced vehicles in one direction can complete the interlaced operation without changing lanes, but the interlaced vehicles in the other direction can enter the road main road or leave the road main road by changing lanes at most once;
c-type interweaving area: as shown in fig. 4, the interlaced vehicles in one direction can complete the interlaced operation without changing lanes, while the interlaced vehicles in the other direction can complete the interlaced operation only by changing lanes twice or more.
The road traffic characteristics in the above-described S1 include traffic volume data and trip vehicle speed;
the traffic data comprises the total traffic of the interleaved area, the interleaved traffic flow at the confluence and the alternating current and direct current at the lane change position; specifically, traffic data of an interlacing area are obtained through the unmanned aerial vehicle, in the data obtaining process, the unmanned aerial vehicle takes off in a region with few pedestrians nearby firstly in the investigation process, then reaches a preset height to hover and shoot, the hovering height is selected to be 70m for guaranteeing the definition of videos and the comprehensiveness of shooting, and finally the horizontal position of the unmanned aerial vehicle is adjusted to guarantee that a lawn without vehicles and pedestrians passes below the unmanned aerial vehicle. The continuous endurance time of each battery of the unmanned aerial vehicle is different from 15 minutes to 20 minutes, so that the video shot by the unmanned aerial vehicle is copied to a computer when the shooting time of a single unmanned aerial vehicle is determined to be fifteen minutes, the video is recorded every five minutes by a manual counting method, and each video is observed twice repeatedly. And watching the video, recording the traffic volume passing through the road section for the first time, recording the number of the interwoven vehicles on the road section for the second time, recording all data, converting the data into the equivalent weight of a standard passenger car, and summarizing to obtain the traffic volume data.
In the measurement of the travel speed of the road section in the interlacing area, in order to ensure the reliability of the measured data, the sample size is calculated according to the following formula based on the statistical theory:
N≥(S×K/E)2
in the formula, N is the minimum sample size
S-sample standard deviation, empirical values show that four-lane expressways in urban areas are usually between 7.9 and 8.5km/h
K-constant, when the confidence is 90%, the value is 1.645
E, tolerance error, taking 2-5 km/h according to experience;
the speed of the vehicle is generally lower than that of a normal road section when the vehicle passes through the intersection, and the standard deviation of the vehicle speed may be reduced due to the overall relatively low vehicle speed. However, the interleaving behavior between vehicles is greatly influenced by interleaving flow ratio, traffic volume and the like, so that individual vehicles pass through an interleaving area, the speed of the vehicles is high without being interfered by other vehicles, and the speed of the influenced vehicles is slow.
The evaluation indexes for the traffic flow characteristics in the above-described step S2 include the traffic capacity, the vehicle speed, and the intersection service level.
The traffic capacity is obtained through a traffic capacity calculation model of an HCM (hybrid control module) interlacing area, the interlacing area is divided into same-side interlacing and different-side interlacing in the HCM, the HCM is not limited by the length of the interlacing area any more in the calculation of the traffic capacity of the interlacing area, but a theoretical calculation model of the maximum interlacing length is provided as the following formula, if the physical length of the interlacing area is larger than Lmax, the interlacing area is formed, and otherwise, a separate shunting area and a confluence area are arranged for processing; in the calculation model of the traffic capacity of the HCM interleaving area, the maximum interleaving length is as follows:
Lmax=[1746×(1+VR)1.6]-[477×NWL]
in the formula: a VR interlace flow ratio;
NWLthe number of interlaced lanes;
in the HCM interlacing area traffic capacity calculation model, when the average traffic flow density K of the interlacing area is 27pcu/h/ln, the traffic capacity C isWThe calculation formula of (2) is as follows:
CW=CIWL×N×fhv×fp
wherein N is the traffic volume;
fhvcorrecting parameters for traffic composition;
fpcorrecting the coefficients for the driver;
CIWLideal traffic capacity for the interlacing area, and CIWL=CIFL-[438.2×(1+VR)1.6]+[0.251×LS]+[119.9×NWL],CIFLThe basic road section traffic capacity L is the same at the same free flow speedSIs the interleaving area length;
the formula for calculating the running speed is as follows:
SW=24+(SFF-16)/(1+WI)
in the formula, SWAverage vehicle speed in the intersection zone, SFFIs the free flow velocity;
WI=[a(1+VR)b(v/N)c]/(3.28Ls)dVR is the interleaving flow ratio, v is the total flow of the interleaving area, and N is the total number of lanes of the interleaving area,LsA, b, c and d are model constants for the length of the interweaving zone;
for interlace area service level (v/c), the HCM model defines in service level that if (v/c) is greater than 1, then the interlace area runs at class F service level, requiring re-transformation. The formula for calculating the service level (v/c) ratio is:
(v/c)=V*fHV*fP/CW
the density is calculated by the formula:
k=(V/N)/S
where V is the interleave flow rate.
The service level division of the interleaved area by using the traffic flow density of the interleaved area as an index is obtained as shown in table 1.
Table 1: service level division table for interleaved area
In the step S3, a traffic flow organization diagram is drawn by combining the road geometric characteristics, so as to determine a traffic flow organization optimization scheme; specifically, the traffic flow organization optimization scheme comprises a traffic flow organization optimization scheme based on an elevated direction lane, a safety traffic flow organization optimization scheme based on an elevated and ramp confluence and a traffic flow organization optimization scheme based on a ramp direction;
the traffic flow organization optimization scheme based on the elevated direction lane is a scheme that a free flow lane and three lanes with interlaced flow form a three-lane combination at the entrance of a tunnel;
the safety traffic flow organization optimization scheme based on the junction of the elevated road and the ramp is a scheme that two interlaced flow lanes and two interlaced flow lanes are converged into three lanes at the entrance of the tunnel;
the traffic flow organization optimization scheme based on the ramp direction is a scheme that three interlaced flow lanes and one free flow lane are interlaced into three lanes at the entrance of a tunnel.
In the step S4, simulating the determined traffic flow organization optimization schemes by using the Vissim software, and determining corresponding simulation data; the simulation data includes queue length, maximum queue length, LOS, vehicle delay average, and number of stops.
The invention has the beneficial effects that:
according to the traffic flow organization optimization method for the urban expressway intersection area, the actual traffic volume, delay, travel speed, linearity and other data of the intersection area are collected, the optimization scheme is specifically formulated according to the actual situation of the intersection area and then simulated data is carried out, the optimal scheme is determined by combining with traffic flow characteristic indexes, and the traffic capacity and the service level of the intersection area are improved.
Claims (7)
1. A traffic flow organization optimization method for an urban expressway intersection area is characterized by comprising the following steps:
s1, road data acquisition is carried out on the urban expressway intersection area;
the road data comprises road geometric characteristics and road traffic characteristics;
s2, determining a traffic flow characteristic evaluation index according to the road traffic characteristics;
s3, determining a plurality of traffic flow organization optimization schemes according to the geometric characteristics of the roads;
s4, performing simulation on each traffic flow organization scheme respectively, and determining corresponding simulation data;
and S5, evaluating the simulation data corresponding to each traffic flow organization optimization scheme through the traffic flow characteristic evaluation indexes, determining the optimal traffic flow organization optimization scheme and the travel speed corresponding to the scheme, and realizing the traffic flow organization optimization.
2. The traffic flow organization optimization method of the urban expressway intersection area according to claim 1, wherein the road geometric characteristics in the step S1 include intersection area geometric parameters and types to which the intersection areas belong;
the geometric parameters of the interleaving region comprise the length of the interleaving region and the variation condition of the number of the combined lanes;
the type of the interleaving region comprises:
and (3) an A-type interweaving area: the vehicles enter the ramp and then exit the ramp, an auxiliary lane exists in the middle of the ramp, and the vehicles running on the intersection zone can leave the auxiliary lane only by performing lane change once, so that the vehicles enter a road trunk or leave the road trunk;
b-type interweaving area: the interweaving vehicles in one direction can complete interweaving operation without changing lanes, but the interweaving vehicles in the other direction can enter the road trunk or leave the road trunk by changing lanes at most once;
c-type interweaving area: the interweaving vehicles in one direction can complete interweaving operation without changing lanes, and the interweaving vehicles in the other direction can complete interweaving operation only by changing lanes twice or more.
3. The traffic flow organization optimization method of the city expressway intersection area according to claim 1, wherein the road traffic characteristics in the step S1 include traffic volume data and trip vehicle speed;
the traffic data comprises total traffic of the interleaved area, interleaved traffic flow at the confluence and alternating current and direct current at the lane change position.
4. The method for organizing and optimizing the traffic flow of the urban expressway intersection area according to claim 1, wherein the evaluation indexes for the traffic flow characteristics in the step S2 include traffic capacity, driving speed and intersection area service level.
5. The traffic flow organization optimization method of the urban expressway intersection area according to claim 4, wherein the traffic capacity is obtained through an HCM intersection area traffic capacity calculation model;
in the HCM interlacing area traffic capacity calculation model, the maximum interlacing length is as follows:
Lmax=[1746×(1+VR)1.6]-[477×NWL]
in the formula: a VR interlace flow ratio;
NWLthe number of interlaced lanes;
in the HCM interlacing area traffic capacity calculation model, when the average traffic flow density K of the interlacing area is 27pcu/h/ln, the traffic capacity C isWThe calculation formula of (2) is as follows:
CW=CIWL×N×fhv×fp
wherein N is the traffic volume;
fhvcorrecting parameters for traffic composition;
fpcorrecting the coefficients for the driver;
CIWLideal traffic capacity for the interlacing area, and CIWL=CIFL-[438.2×(1+VR)1.6]+[0.251×LS]+[119.9×NWL],CIFLThe basic road section traffic capacity L is the same at the same free flow speedSIs the interleaving area length;
the formula for calculating the running speed is as follows:
SW=24+(SFF-16)/(1+WI)
in the formula, SWAverage vehicle speed in the intersection zone, SFFIs the free flow velocity;
WI=[a(1+VR)b(v/N)c]/(3.28Ls)dVR is the interleaving flow ratio, v is the total flow of the interleaving area, N is the total number of lanes of the interleaving area, and L issA, b, c and d are model constants for the length of the interweaving zone;
the calculation formula of the service level (v/c) of the interleaving area is as follows:
(v/c)=V*fHV*fP/CW
where V is the interleave flow rate.
6. The traffic flow organization optimization method of the urban expressway intersection area according to claim 1, wherein the traffic flow organization scheme is drawn by combining road geometric characteristics in the step S3, and a traffic flow organization optimization scheme is further determined;
the traffic flow organization optimization scheme comprises a traffic flow organization optimization scheme based on an elevated direction lane, a safety traffic flow organization optimization scheme based on the junction of an elevated road and a ramp and a traffic flow organization optimization scheme based on the ramp direction;
the traffic flow organization optimization scheme based on the elevated direction lane is a scheme that a free flow lane and three lanes with interlaced flow form a three-lane combination at the entrance of a tunnel;
the safety traffic flow organization optimization scheme based on the junction of the elevated road and the ramp is a scheme that two interlaced flow lanes and two interlaced flow lanes are converged into three lanes at the entrance of the tunnel;
the traffic flow organization optimization scheme based on the ramp direction is a scheme that three interlaced flow lanes and one free flow lane are interlaced into three lanes at the entrance of a tunnel.
7. The traffic flow organization optimization method of the urban expressway intersection area according to claim 1, wherein in the step S4, the determined traffic flow organization optimization schemes are simulated through Vissim software to determine corresponding simulation data;
the simulation data includes queue length, maximum queue length, LOS, vehicle delay average, and number of stops.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010024318.9A CN111199645A (en) | 2020-01-10 | 2020-01-10 | Traffic flow organization optimization method for urban expressway intersection area |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010024318.9A CN111199645A (en) | 2020-01-10 | 2020-01-10 | Traffic flow organization optimization method for urban expressway intersection area |
Publications (1)
Publication Number | Publication Date |
---|---|
CN111199645A true CN111199645A (en) | 2020-05-26 |
Family
ID=70747423
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010024318.9A Withdrawn CN111199645A (en) | 2020-01-10 | 2020-01-10 | Traffic flow organization optimization method for urban expressway intersection area |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111199645A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113356651A (en) * | 2021-06-28 | 2021-09-07 | 西南交通大学 | Rotary four-channel super high-speed rail station structure |
CN115116231A (en) * | 2022-08-26 | 2022-09-27 | 深圳市城市交通规划设计研究中心股份有限公司 | Vehicle-road cooperative microscopic simulation system and method, electronic device and storage medium |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101246513A (en) * | 2008-03-20 | 2008-08-20 | 天津市市政工程设计研究院 | City fast road intercommunicated overpass simulation design system and selection method |
CN102201021A (en) * | 2011-04-27 | 2011-09-28 | 天津市市政工程设计研究院 | Expressway aided design system |
CN103871241A (en) * | 2014-03-19 | 2014-06-18 | 同济大学 | Lane dynamic partitioning control method for expressway intersection area |
CN107562983A (en) * | 2017-07-17 | 2018-01-09 | 北京工业大学 | A kind of city expressway ring road region lane-change space optimization method and device |
CN107633692A (en) * | 2017-09-29 | 2018-01-26 | 河南理工大学 | A kind of city expressway Entrance ramp MFA control method |
CN109255949A (en) * | 2018-08-22 | 2019-01-22 | 东南大学 | Ring road and its joint intersection time-space distribution optimum design method under city expressway |
-
2020
- 2020-01-10 CN CN202010024318.9A patent/CN111199645A/en not_active Withdrawn
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101246513A (en) * | 2008-03-20 | 2008-08-20 | 天津市市政工程设计研究院 | City fast road intercommunicated overpass simulation design system and selection method |
CN102201021A (en) * | 2011-04-27 | 2011-09-28 | 天津市市政工程设计研究院 | Expressway aided design system |
CN103871241A (en) * | 2014-03-19 | 2014-06-18 | 同济大学 | Lane dynamic partitioning control method for expressway intersection area |
CN107562983A (en) * | 2017-07-17 | 2018-01-09 | 北京工业大学 | A kind of city expressway ring road region lane-change space optimization method and device |
CN107633692A (en) * | 2017-09-29 | 2018-01-26 | 河南理工大学 | A kind of city expressway Entrance ramp MFA control method |
CN109255949A (en) * | 2018-08-22 | 2019-01-22 | 东南大学 | Ring road and its joint intersection time-space distribution optimum design method under city expressway |
Non-Patent Citations (1)
Title |
---|
冯星宇等: "快速路交织区通行能力分析方法对比研究", 《道路交通与安全》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113356651A (en) * | 2021-06-28 | 2021-09-07 | 西南交通大学 | Rotary four-channel super high-speed rail station structure |
CN115116231A (en) * | 2022-08-26 | 2022-09-27 | 深圳市城市交通规划设计研究中心股份有限公司 | Vehicle-road cooperative microscopic simulation system and method, electronic device and storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN111192455B (en) | Traffic flow organization optimization method for urban expressway intersection area | |
CN104778834B (en) | Urban road traffic jam judging method based on vehicle GPS data | |
CN111341095B (en) | Traffic signal control system and method based on edge side online calculation | |
CN108256714A (en) | A kind of wheelpath real-time risk assessment model based on car networking big data | |
CN103895649B (en) | A kind of driver safety driving warning method | |
CN104952252B (en) | Obtain method and the system of the Separation of main work and non-main work formula multilane motorway traffic capacity | |
CN105825669A (en) | System and method for identifying urban expressway traffic bottlenecks | |
CN108492562A (en) | Intersection vehicles trajectory reconstruction method based on fixed point detection with the alert data fusion of electricity | |
CN104680788B (en) | A kind of eco-resi stance computational methods for traffic route selection | |
CN111199645A (en) | Traffic flow organization optimization method for urban expressway intersection area | |
CN110264724B (en) | Interactive highway traffic accident prediction method | |
CN108447263A (en) | The signal of Arterial Coordination Control intersection based on Floating Car controls evaluation method | |
CN103942957B (en) | Vehicle queue length computing method under signalized intersections state of saturation | |
CN105844915A (en) | Method for determining traffic flow fundamental diagram in variable speed limit control state | |
CN105513362A (en) | Method for evaluating and verifying running state of bus in area adjacent to bus stop | |
CN107134133A (en) | The method and system that highway traffic congestion degree sorts between area under one's jurisdiction | |
CN112991726B (en) | Method for setting road marking in urban expressway interweaving area | |
CN106991804A (en) | A kind of city bus operating mode construction method coupled based on multi-line | |
CN106991811A (en) | Expressway exit ring road upstream trackside road information Optimization Design based on drive simulation experiment porch | |
CN114023065A (en) | Algorithm for intelligently diagnosing intersection service level by utilizing video analysis data | |
CN111767644B (en) | Method for estimating actual traffic capacity of expressway road section by considering speed limit influence of single tunnel | |
CN108389405A (en) | Road traffic capacity control method | |
CN114170794B (en) | Urban expressway intersection area dynamic influence range calculation method based on VISSIM simulation | |
CN105551265B (en) | A kind of magnitude of traffic flow detection method based on virtual detection band | |
CN107194386A (en) | A kind of intersection electric bicycle travel speed acquisition methods based on video |
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 | ||
WW01 | Invention patent application withdrawn after publication | ||
WW01 | Invention patent application withdrawn after publication |
Application publication date: 20200526 |