CN109409008A - A kind of urban track traffic tool route typical rate-time driving cycle construction method - Google Patents
A kind of urban track traffic tool route typical rate-time driving cycle construction method Download PDFInfo
- Publication number
- CN109409008A CN109409008A CN201811414753.1A CN201811414753A CN109409008A CN 109409008 A CN109409008 A CN 109409008A CN 201811414753 A CN201811414753 A CN 201811414753A CN 109409008 A CN109409008 A CN 109409008A
- Authority
- CN
- China
- Prior art keywords
- time
- acceleration
- speed
- operating condition
- data
- 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
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
- B61L27/10—Operations, e.g. scheduling or time tables
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Mechanical Engineering (AREA)
- Train Traffic Observation, Control, And Security (AREA)
Abstract
A kind of urban track traffic tool route typical rate-time driving cycle construction method, belongs to urban track traffic Energy efficiency evaluation system construction field.It solves the no operating condition of existing urban railway transit train operation to be referred to, causes the waste of traction energy consumption, the big problem of consumption energy.The present invention utilizes train actual operating data, abnormal data elimination replacement processing is carried out to the actual operating data of train, all standard speeds-time candidate segment is subjected to splicing and is depicted as operating condition curve, there is periodically part to be used as standard operating condition for the variation for intercepting operating condition curve maximum speed and average speed;The characteristic value of the characteristic value of standard condition and actual condition is done into the unitary mismatch calculating, deviation matrix is obtained, the corresponding standard speed of the smallest value of column data every in deviation matrix-time candidate segment is subjected to typical rate-time operating condition that splicing obtains train actual motion state.The present invention is suitable for urban track traffic and constructs referring to operating condition use.
Description
Technical field
The invention belongs to urban track traffic Energy efficiency evaluation system construction fields.
Background technique
As a part most important in Traffic Systems, urban track traffic has itself freight volume big, and speed is fast,
The advantages that safe and reliable, it has also become each megapolitans in the world go on a journey the indispensable vehicles, have also obtained rapid hair in China
Exhibition.But the energy consumption of urban track traffic, which is one, cannot be neglected factor.For the state of China's shared inadequate resource per capita
Feelings, the formulation and implementation of City Rail Transit System energy conservation related measure are particularly important.
Major influence factors of operation energy consumption the first is that operating condition of train in urban track traffic.The operation of train is bent
The factors such as the weight of line, train determine the tractive force size of train, and tractive force acting is to constitute city rail train energy consumption
Pith.It but is in the prior art and there is no the construction method to city train operation operating condition to reduce city rail to hand over
Way system energy consumption provides reference frame.
Summary of the invention
The present invention is to cause to draw to solve the no operating condition of existing urban railway transit train operation and refer to
The waste of energy consumption, the big problem of consumption energy propose a kind of urban track traffic tool route typical rate-time traveling work
Condition construction method.
A kind of urban track traffic tool route typical rate-time driving cycle construction method of the present invention, should
Method includes:
Step 1: being spelled sequentially in time to the daily Velocity-time operation history data of track vehicle route
It connects, obtains continuous Velocity-time tables of data;
Step 2: from continuous Velocity-time tables of data extract train operation starting point, determine two starting points it
Between Velocity-time segment be an initial candidate segment;
Step 3: calculating the down time in each initial candidate segment, all parking time lengths is enabled to be greater than TmaxJust
The down time of beginning candidate segment is Tmax;Obtain the candidate segment of rejecting abnormalities down time data;Wherein, TmaxIt is positive
Number;
Step 4: speed is greater than V in the candidate segment for the rejecting abnormalities down time data that step 3 is obtainedmaxSpeed
Degree evidence replaces with Vmax, the candidate segment of rejecting abnormalities speed data is obtained, determines the candidate of the rejecting abnormalities speed data
Segment is standard speed-time candidate segment;Wherein, VmaxFor positive number;
Step 5: seeking standard speed-time candidate segment characteristic value of step 4 acquisition, the characteristic value includes:
Maximum speed, averaging speed,Average Travel Speed, peak acceleration, maximum deceleration, average acceleration
And average retardation rate;
Step 6: carry out splicing by all in standard speed-time candidate segment and be depicted as operating condition curve, interception fortune
The variation of row performance curve maximum speed and average speed has periodic part, by the Velocity-time with mechanical periodicity
Candidate segment carries out splicing as standard operating condition;The corresponding standard speed of standard operating condition-time candidate segment is deposited
For the cell array matrix of n*m;Each data point includes 8 characteristic values in the cell array matrix;
Step 7: by it is all standard speed-time candidate segment carry out splicing be depicted as operating condition curve, seek transporting
The global feature value of row performance curve: the global feature value include: maximum speed, averaging speed,It is flat
Equal travelling speed, peak acceleration, maximum deceleration, average acceleration and average retardation rate;
Step 8: each standard speed for being included by the standard operating condition of step 6-time candidate segment is corresponding
Characteristic value and the corresponding global feature value of operating condition curve sought of step 7 deviation calculating is normalized, obtain n*
The deviation matrix of m, wherein n is periodicity, and m is Velocity-time candidate segment number in each period;
Step 9: extracting the minimum value and its corresponding standard speed-time candidate's piece of each column deviation in n*m deviation matrix
Section, carries out the corresponding standard speed of the deviation minimum value of each column in n*m deviation matrix-time candidate segment to be spliced to form route
Typical rate-time operating condition realizes the building of urban track traffic tool route typical rate-time driving cycle.
Further, step 5 seeks peak acceleration in characteristic value, maximum deceleration, average acceleration and mean deceleration
Degree method particularly includes:
First to the corresponding curve of each standard speed-time candidate segment carry out derivation, obtain it is each standard speed-when
Between the corresponding acceleration information of candidate piece, acceleration in acceleration information is greater than amaxData replace with amax, by acceleration
Less than aminData replace with amin;Acceleration-time data group after obtaining rejecting abnormalities acceleration information;Wherein, amaxFor
The max-thresholds of acceleration, aminFor the minimum threshold of acceleration;Peak acceleration in extraction rate-time data group, most again
Big retarding degree, average acceleration and average retardation rate;The data that deceleration data are acceleration value when being negative;Maximum deceleration
When for acceleration being negative, the numerical value of maximum absolute value.
Further, step 7 is sought peak acceleration in the global feature value of operating condition curve, maximum deceleration, is put down
Equal acceleration and average retardation rate method particularly includes:
Derivation is carried out to operating condition curve first, all acceleration informations of operating condition curve are obtained, by acceleration
Acceleration is greater than a in datamaxData replace with amax, acceleration is less than aminData replace with amin;It is different to obtain rejecting
Acceleration-time data group of operating condition curve after normal acceleration information;Wherein, amaxFor the max-thresholds of acceleration,
aminFor the minimum threshold of acceleration;
Peak acceleration, maximum deceleration, the average acceleration in the Velocity-time data group of operating condition curve are extracted again
Degree and average retardation rate;The data that deceleration data are acceleration value when being negative;Maximum deceleration is acceleration when being negative,
The data of maximum absolute value.
Further, each standard speed for being included by the standard operating condition of step 6 in step 8-time waits
Deviation is normalized in the corresponding global feature value for the operating condition curve that the corresponding characteristic value of selected episode and step 7 are sought
It calculates method particularly includes:
Pass through formula:
It realizes, wherein T (i)fra_typFor Velocity-time candidate segment corresponding eigenvalue, T (i)tot_typWork is run for standard
The Velocity-time operating mode feature value of condition;I=1,2,3,4,5,6,7,8 is respectively correspondedMaximum speed, averaging
Speed, Average Travel Speed, peak acceleration, maximum deceleration, average acceleration and average retardation rate.
Further, in step 9, extract n*m deviation matrix in each column deviation minimum value when, when it is any one show it is more
When a equal minimum value, record be located at first minimum value from top to bottom of column in matrix and its it is corresponding speed-when
Between candidate segment.
Further, T described in step 3maxFor 125s.
Further, the speed V in step 4maxFor 80km/h or 100km/h.
The present invention utilizes train actual operating data, carries out at abnormal data elimination replacement to the actual operating data of train
All standard speeds-time candidate segment is carried out splicing and is depicted as operating condition curve by reason, and interception operating condition curve is most
There is periodically part to be used as standard operating condition for the variation of big speed and average speed;By the characteristic value and reality of standard condition
The characteristic value of border operating condition does the unitary mismatch calculating, deviation matrix is obtained, by the smallest value pair of column data every in deviation matrix
The standard speed answered-time candidate segment carries out typical rate-time operating condition that splicing obtains train actual motion state.The allusion quotation
Type Velocity-time operating condition is as urban railway transit train energy simulation operating condition, on the typical rate-time operating condition basis
On, different affecting factors Train energy consumption analysis is carried out to train, the energy conservation measure for urban track traffic tool provides reference
Foundation.
Detailed description of the invention
Fig. 1 is the stream of urban track traffic tool route typical rate-time driving cycle construction method of the present invention
Cheng Tu.
Specific embodiment
Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings and examples, how to apply to the present invention whereby
Technological means solves technical problem, and the realization process for reaching relevant art effect can fully understand and implement.This Shen
Please each feature in embodiment and embodiment, can be combined with each other under the premise of not colliding, be formed by technical solution
It is within the scope of the present invention.
Specific embodiment 1: illustrating present embodiment, a kind of city rail friendship described in present embodiment below with reference to Fig. 1
Logical tool route typical rate-time driving cycle construction method, this method comprises:
Step 1: being spelled sequentially in time to the daily Velocity-time operation history data of track vehicle route
It connects, obtains continuous Velocity-time tables of data;
Step 2: from continuous Velocity-time tables of data extract train operation starting point, determine two starting points it
Between Velocity-time segment be an initial candidate segment;
Step 3: calculating the down time in each initial candidate segment, all parking time lengths is enabled to be greater than TmaxJust
The down time of beginning candidate segment is Tmax;Obtain the candidate segment of rejecting abnormalities down time data;Wherein, TmaxIt is positive
Number;
Step 4: speed is greater than V in the candidate segment for the rejecting abnormalities down time data that step 3 is obtainedmaxSpeed
Degree evidence replaces with Vmax, the candidate segment of rejecting abnormalities speed data is obtained, determines the candidate of the rejecting abnormalities speed data
Segment is standard speed-time candidate segment;Wherein, VmaxFor positive number;
Step 5: seeking standard speed-time candidate segment characteristic value of step 4 acquisition, the characteristic value includes:
Maximum speed, averaging speed,Average Travel Speed, peak acceleration, maximum deceleration, average acceleration
And average retardation rate;
Step 6: carry out splicing by all in standard speed-time candidate segment and be depicted as operating condition curve, interception fortune
There is periodically part to be used as standard operating condition for the variation of row performance curve maximum speed and average speed;Standard is run
The corresponding standard speed of operating condition-time candidate segment saves as the cell array matrix of n*m;Each number in the cell array matrix
Strong point includes 8 characteristic values;
Step 7: by it is all standard speed-time candidate segment carry out splicing be depicted as operating condition curve, seek transporting
The global feature value of row performance curve: the characteristic value include: maximum speed, averaging speed,Average trip
Scanning frequency degree, peak acceleration, maximum deceleration, average acceleration and average retardation rate;
Step 8: each standard speed for being included by the standard operating condition of step 6-time candidate segment is corresponding
Characteristic value and the corresponding global feature value of operating condition curve sought of step 7 deviation calculating is normalized, obtain n*
The deviation matrix of m, wherein n is periodicity, and m is Velocity-time candidate segment number in each period;
Step 9: extracting the minimum value and its corresponding standard speed-time candidate's piece of each column deviation in n*m deviation matrix
Section, carries out the corresponding standard speed of the deviation minimum value of each column in n*m deviation matrix-time candidate segment to be spliced to form route
Typical rate-time operating condition realizes the building of urban track traffic tool route typical rate-time driving cycle.
Average Travel Speed described in present embodiment is the average speed of one section of train travelling, specifically, train is being transported
The total distance of traveller's journey is divided by institute's having time used in the distance, the berthing time including intermediate station in operational process;Average skill
Art speed is train when the total distance for running route subtracts remaining of berthing time of intermediate station divided by the time used in the distance
Between;
Urban track traffic tool route typical rate-time driving cycle building, the reality based on train in the present invention
Velocity-time operating condition.The train operating data of actual acquisition is rejected by unreasonable data, candidate segment is extracted, partially
Difference analysis, the processes such as typical condition building, constructs the typical condition that can more really react train operation situation.The hair
The bright urban railway transit train that solves is not used for asking for unified Velocity-time operating condition used in energy consumption assessment and performance test
Topic.
Specific embodiment 2: present embodiment is to a kind of urban track traffic tool route allusion quotation described in embodiment one
Type Velocity-time driving cycle construction method is described further, and step 5 seeks peak acceleration in characteristic value, maximum deceleration
Degree, average acceleration and average retardation rate method particularly includes:
First to the corresponding curve of each standard speed-time candidate segment carry out derivation, obtain it is each standard speed-when
Between the corresponding acceleration information of candidate piece, acceleration in acceleration information is greater than amaxData replace with amax, by acceleration
Less than aminData replace with amin;Acceleration-time data group after obtaining rejecting abnormalities acceleration information;Wherein, amaxFor
The max-thresholds of acceleration, aminFor the minimum threshold of acceleration;
Peak acceleration, maximum deceleration, average acceleration and mean deceleration in extraction rate-time data group again
Degree;The data that deceleration data are acceleration value when being negative;Maximum deceleration is acceleration when being negative, maximum absolute value
Data.
Specific embodiment 3: present embodiment is to a kind of urban track traffic tool route allusion quotation described in embodiment one
Type Velocity-time driving cycle construction method is described further, and step 7 is sought in the global feature value of operating condition curve
Peak acceleration, maximum deceleration, average acceleration and average retardation rate method particularly includes:
Derivation is carried out to operating condition curve first, all acceleration informations of operating condition curve are obtained, by acceleration
Acceleration is greater than a in datamaxData replace with amax, acceleration is less than aminData replace with amin;It is different to obtain rejecting
Acceleration-time data group of operating condition curve after normal acceleration information;Wherein, amaxFor the max-thresholds of acceleration,
aminFor the minimum threshold of acceleration;
Peak acceleration, maximum deceleration, the average acceleration in the Velocity-time data group of operating condition curve are extracted again
Degree and average retardation rate;The data that deceleration data are acceleration value when being negative;Maximum deceleration is acceleration when being negative,
The data of maximum absolute value.
Specific embodiment 4: present embodiment is to a kind of urban track traffic tool route allusion quotation described in embodiment one
Type Velocity-time driving cycle construction method is described further, and is included by the standard operating condition of step 6 in step 8
Each standard speed-corresponding characteristic value of time candidate segment and operating condition curve that step 7 is sought it is corresponding whole
Deviation calculating is normalized in body characteristics value method particularly includes:
Pass through formula:
It realizes, wherein T (i)fra_typFor Velocity-time candidate segment corresponding eigenvalue, T (i)tot_typFor the practical fortune of route
The Velocity-time operating mode feature value of row operating condition;I=1,2,3,4,5,6,7,8 respectively correspondMaximum speed is averaged
Technical speed, Average Travel Speed, peak acceleration, maximum deceleration, average acceleration and average retardation rate.
Specific embodiment 5: present embodiment is to a kind of urban track traffic tool route described in embodiment one
Typical rate-time driving cycle construction method is described further, and each column deviation in n*m deviation matrix is extracted in step 9
When minimum value, when it is any one show multiple equal minimum values when, record is located at first of column in matrix from top to bottom
Minimum value and its corresponding Velocity-time candidate segment.
Specific embodiment 6: present embodiment is to a kind of urban track traffic tool route described in embodiment one
Typical rate-time driving cycle construction method is described further, T described in step 3maxFor 125s.
Specific embodiment 7: present embodiment is to a kind of urban track traffic tool route described in embodiment one
Typical rate-time driving cycle construction method is described further, the speed V in step 4maxFor 80km/h or 100km/h.
The present invention constructs urban track traffic using the above method and is embodied as rail traffic with route typical rate-time driving cycle
Day-to-day operation provides energy consumption reference, and driver can be according to route typical rate-control of the time driving cycle to output power
System, the waste of less energy, while also avoiding power output too low the problem of causing form to interrupt.
Although disclosed herein embodiment it is as above, the content is only to facilitate understanding the present invention and adopting
Embodiment is not intended to limit the invention.Any those skilled in the art to which this invention pertains are not departing from this
Under the premise of the disclosed spirit and scope of invention, any modification and change can be made in the implementing form and in details,
But scope of patent protection of the invention, still should be subject to the scope of the claims as defined in the appended claims.
Claims (7)
1. a kind of urban track traffic tool route typical rate-time driving cycle construction method, which is characterized in that this method
Include:
Step 1: the daily Velocity-time operation history data of track vehicle route is spliced sequentially in time,
Obtain continuous Velocity-time tables of data;
Step 2: extracting the starting point of train operation from continuous Velocity-time tables of data, determine between two starting points
Velocity-time segment is an initial candidate segment;
Step 3: calculating the down time in each initial candidate segment, all parking time lengths is enabled to be greater than TmaxInitial time
The down time of selected episode is Tmax;Obtain the candidate segment of rejecting abnormalities down time data;Wherein, TmaxFor positive number;
Step 4: speed is greater than V in the candidate segment for the rejecting abnormalities down time data that step 3 is obtainedmaxNumber of speed
According to replacing with Vmax, the candidate segment of rejecting abnormalities speed data is obtained, determines the candidate segment of the rejecting abnormalities speed data
For standard speed-time candidate segment;Wherein, VmaxFor positive number;
Step 5: seeking standard speed-time candidate segment characteristic value of step 4 acquisition, the characteristic value includes: maximum
Speed, averaging speed,Average Travel Speed, peak acceleration, maximum deceleration, average acceleration peace
Equal deceleration;
Step 6: carry out splicing by all in standard speed-time candidate segment and be depicted as operating condition curve, interception operation work
The variation of condition curve maximum speed and average speed has periodic part, and the Velocity-time with mechanical periodicity is candidate
Segment carries out splicing as standard operating condition;The corresponding standard speed of standard operating condition-time candidate segment is saved as into n*m
Cell array matrix;Each data point includes 8 characteristic values in the cell array matrix;
Step 7: by it is all standard speed-time candidate segment carry out splicing be depicted as operating condition curve, seek operation work
The global feature value of condition curve: the global feature value include: maximum speed, averaging speed,Average trip
Scanning frequency degree, peak acceleration, maximum deceleration, average acceleration and average retardation rate;
Step 8: each standard speed for being included by the standard operating condition of step 6-corresponding spy of time candidate segment
Deviation calculating is normalized in the corresponding global feature value for the operating condition curve that value indicative and step 7 are sought, and obtains n*m's
Deviation matrix, wherein n is periodicity, and m is Velocity-time candidate segment number in each period;
Step 9: the minimum value and its corresponding standard speed-time candidate segment of each column deviation in n*m deviation matrix are extracted,
It carries out the corresponding standard speed of the deviation minimum value of each column in n*m deviation matrix-time candidate segment to be spliced to form route allusion quotation
Type Velocity-time operating condition realizes the building of urban track traffic tool route typical rate-time driving cycle.
2. a kind of urban track traffic tool route typical rate-time driving cycle construction method according to claim 1,
It is characterized in that, step 5 seeks the tool of peak acceleration in characteristic value, maximum deceleration, average acceleration and average retardation rate
Body method are as follows:
Derivation is carried out to the corresponding curve of each standard speed-time candidate segment first, obtains each standard speed-time time
Acceleration in acceleration information is greater than a by the corresponding acceleration information of chip selectmaxData replace with amax, acceleration is less than
aminData replace with amin;Acceleration-time data group after obtaining rejecting abnormalities acceleration information;Wherein, amaxTo accelerate
The max-thresholds of degree, aminFor the minimum threshold of acceleration;
Peak acceleration, maximum deceleration, average acceleration and average retardation rate in extraction rate-time data group again;Subtract
The data that speed is acceleration value when being negative;Maximum deceleration is acceleration when being negative, the data of maximum absolute value.
3. a kind of urban track traffic tool route typical rate-time driving cycle construction method according to claim 1,
It is characterized in that, step 7 seeks peak acceleration, maximum deceleration, average acceleration in the global feature value of operating condition curve
Degree and average retardation rate method particularly includes:
Derivation is carried out to operating condition curve first, all acceleration informations of operating condition curve are obtained, by acceleration information
Middle acceleration is greater than amaxData replace with amax, acceleration is less than aminData replace with amin;Rejecting abnormalities are obtained to add
The acceleration of operating condition curve after speed data-time data group;Wherein, amaxFor the max-thresholds of acceleration, aminFor
The minimum threshold of acceleration;
Extract again peak acceleration in the Velocity-time data group of operating condition curve, maximum deceleration, average acceleration and
Average retardation rate;The data that deceleration data are acceleration value when being negative;Maximum deceleration is acceleration when being negative, absolutely
It is worth maximum data.
4. a kind of urban track traffic tool route typical rate-time driving cycle construction method according to claim 1,
It is characterized in that, each standard speed-time candidate segment for being included by the standard operating condition of step 6 in step 8
Deviation calculating is normalized in the corresponding global feature value for the operating condition curve that corresponding characteristic value and step 7 are sought
Method particularly includes:
Pass through formula:
It realizes, wherein T (i)fra_typFor Velocity-time candidate segment corresponding eigenvalue, T (i)tot_typFor standard operating condition
Velocity-time operating mode feature value;I=1,2,3,4,5,6,7,8 respectively correspondMaximum speed, averaging speed
Degree, Average Travel Speed, peak acceleration, maximum deceleration, average acceleration and average retardation rate.
5. a kind of urban track traffic tool route typical rate-time driving cycle construction method according to claim 1,
It is characterized in that, in step 9, when extracting the minimum value of each column deviation in n*m deviation matrix, when it is any one show it is multiple equal
Minimum value when, it is candidate that record is located at column first minimum value from top to bottom and its corresponding Velocity-time in matrix
Segment.
6. a kind of urban track traffic tool route typical rate-time driving cycle construction method according to claim 1,
It is characterized in that, T described in step 3maxFor 125s.
7. a kind of urban track traffic tool route typical rate-time driving cycle construction method according to claim 1,
It is characterized in that, the speed V in step 4maxFor 80km/h or 100km/h.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811414753.1A CN109409008B (en) | 2018-11-23 | 2018-11-23 | Construction method for typical speed-time running condition of urban rail vehicle line |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811414753.1A CN109409008B (en) | 2018-11-23 | 2018-11-23 | Construction method for typical speed-time running condition of urban rail vehicle line |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109409008A true CN109409008A (en) | 2019-03-01 |
CN109409008B CN109409008B (en) | 2022-06-17 |
Family
ID=65455503
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811414753.1A Active CN109409008B (en) | 2018-11-23 | 2018-11-23 | Construction method for typical speed-time running condition of urban rail vehicle line |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109409008B (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109960890A (en) * | 2019-04-03 | 2019-07-02 | 中车青岛四方车辆研究所有限公司 | Track vehicle area typical rate-time driving cycle construction method |
CN109960889A (en) * | 2019-04-03 | 2019-07-02 | 中车青岛四方车辆研究所有限公司 | Track vehicle route typical rate-time driving cycle construction method |
CN111824214A (en) * | 2019-04-18 | 2020-10-27 | 中车株洲电力机车研究所有限公司 | Automatic driving active safety control method and system for heavy-duty locomotive |
CN112948752A (en) * | 2021-03-19 | 2021-06-11 | 北京航空航天大学 | Typical working condition construction method for long movement segment of train |
CN113076697A (en) * | 2021-04-20 | 2021-07-06 | 潍柴动力股份有限公司 | Typical driving condition construction method, related device and computer storage medium |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101859347A (en) * | 2010-05-26 | 2010-10-13 | 北京交通大学 | Method using intelligent hybrid model to describe operational process of high-speed train group |
CN104792543A (en) * | 2015-04-17 | 2015-07-22 | 北京理工大学 | Constructing method of road cyclic conditions |
CN105046070A (en) * | 2015-07-07 | 2015-11-11 | 吉林大学 | Method for constructing city comprehensive working condition with turning performance |
CN107067710A (en) * | 2017-04-21 | 2017-08-18 | 同济大学 | A kind of city bus running orbit optimization method for considering energy-conservation |
CN108198425A (en) * | 2018-02-10 | 2018-06-22 | 长安大学 | A kind of construction method of Electric Vehicles Driving Cycle |
-
2018
- 2018-11-23 CN CN201811414753.1A patent/CN109409008B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101859347A (en) * | 2010-05-26 | 2010-10-13 | 北京交通大学 | Method using intelligent hybrid model to describe operational process of high-speed train group |
CN104792543A (en) * | 2015-04-17 | 2015-07-22 | 北京理工大学 | Constructing method of road cyclic conditions |
CN105046070A (en) * | 2015-07-07 | 2015-11-11 | 吉林大学 | Method for constructing city comprehensive working condition with turning performance |
CN107067710A (en) * | 2017-04-21 | 2017-08-18 | 同济大学 | A kind of city bus running orbit optimization method for considering energy-conservation |
CN108198425A (en) * | 2018-02-10 | 2018-06-22 | 长安大学 | A kind of construction method of Electric Vehicles Driving Cycle |
Non-Patent Citations (1)
Title |
---|
郑殿宇 等: "哈尔滨城区乘用车行驶工况的构建", 《公路交通科技》 * |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109960890A (en) * | 2019-04-03 | 2019-07-02 | 中车青岛四方车辆研究所有限公司 | Track vehicle area typical rate-time driving cycle construction method |
CN109960889A (en) * | 2019-04-03 | 2019-07-02 | 中车青岛四方车辆研究所有限公司 | Track vehicle route typical rate-time driving cycle construction method |
CN109960890B (en) * | 2019-04-03 | 2023-02-03 | 中车青岛四方车辆研究所有限公司 | Method for constructing regional typical speed-time running working condition of rail vehicle |
CN109960889B (en) * | 2019-04-03 | 2023-02-07 | 中车青岛四方车辆研究所有限公司 | Method for constructing typical speed-time running condition of track vehicle line |
CN111824214A (en) * | 2019-04-18 | 2020-10-27 | 中车株洲电力机车研究所有限公司 | Automatic driving active safety control method and system for heavy-duty locomotive |
CN112948752A (en) * | 2021-03-19 | 2021-06-11 | 北京航空航天大学 | Typical working condition construction method for long movement segment of train |
CN113076697A (en) * | 2021-04-20 | 2021-07-06 | 潍柴动力股份有限公司 | Typical driving condition construction method, related device and computer storage medium |
Also Published As
Publication number | Publication date |
---|---|
CN109409008B (en) | 2022-06-17 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109409008A (en) | A kind of urban track traffic tool route typical rate-time driving cycle construction method | |
CN104802737B (en) | Mobile phone based vehicle abnormality driving behavior detection method | |
CN104851286B (en) | A kind of method of utilization public transit vehicle gps data dynamic evaluation road traffic state | |
CN104029680A (en) | Lane departure warning system and method based on monocular camera | |
CN103895649B (en) | A kind of driver safety driving warning method | |
CN107704950A (en) | A kind of city rail train figure optimization method based on trip requirements and energy saving of system | |
CN105608902A (en) | Expressway black spot identification system and method | |
CN107341864A (en) | The evaluation system of driver's driving behavior is analyzed by vehicle bus recording equipment | |
CN103839264A (en) | Detection method of lane line | |
CN106251666A (en) | Under the foggy environment of intelligent network connection automobile, expressway safety speed guides system and method | |
CN105427620B (en) | A kind of illegal operation vehicle identification method based on taxi service data | |
CN106651728A (en) | Determination method for advantageous haul distances of passenger transport modes in comprehensive transport system | |
CN107240264A (en) | A kind of non-effective driving trace recognition methods of vehicle and urban road facility planing method | |
CN106951549A (en) | A kind of passenger's traffic path recognition methods based on track IC-card and mobile phone signaling data | |
CN106548628A (en) | The road condition analyzing method that a kind of view-based access control model space transition net is formatted | |
CN109584546B (en) | Method for determining departure flow threshold of quick-conventional bus sharing lane | |
CN109960889A (en) | Track vehicle route typical rate-time driving cycle construction method | |
CN103226666B (en) | Sophisticated functions intercommunication road crossing system efficacy assessments method | |
CN105632174A (en) | Traffic event detection system based on semantic technology and method for the same | |
CN115829147B (en) | Passenger flow OD correction method under fast and slow vehicle time table change based on machine simulation and application | |
CN102867305B (en) | Load balance detection method in a kind of railway freight train image | |
CN108981906B (en) | Track corrugation fault comprehensive diagnosis method | |
CN107462309B (en) | Count weight compensation method, device and server | |
CN114743166A (en) | Method for detecting brake of railway wagon | |
CN115374579A (en) | Rail transit differential security inspection channel layout method based on bottleneck identification |
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 |