CN109413567A - A kind of judgment method of the trip mode based on mobile terminal - Google Patents

A kind of judgment method of the trip mode based on mobile terminal Download PDF

Info

Publication number
CN109413567A
CN109413567A CN201811200473.0A CN201811200473A CN109413567A CN 109413567 A CN109413567 A CN 109413567A CN 201811200473 A CN201811200473 A CN 201811200473A CN 109413567 A CN109413567 A CN 109413567A
Authority
CN
China
Prior art keywords
monitoring object
trip mode
moment
mobile terminal
radius
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.)
Pending
Application number
CN201811200473.0A
Other languages
Chinese (zh)
Inventor
杨瑞春
伍旭鸿
黄文浪
钟达
吴斯晟
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.)
Fuzhou Government Affairs Information Office Office
Propaganda Department Of Fuzhou Committee Of Communist Party Of China
State Grid Corp of China SGCC
State Grid Information and Telecommunication Co Ltd
Original Assignee
Fuzhou Government Affairs Information Office Office
Propaganda Department Of Fuzhou Committee Of Communist Party Of China
State Grid Corp of China SGCC
State Grid Information and Telecommunication Co Ltd
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 Fuzhou Government Affairs Information Office Office, Propaganda Department Of Fuzhou Committee Of Communist Party Of China, State Grid Corp of China SGCC, State Grid Information and Telecommunication Co Ltd filed Critical Fuzhou Government Affairs Information Office Office
Priority to CN201811200473.0A priority Critical patent/CN109413567A/en
Publication of CN109413567A publication Critical patent/CN109413567A/en
Pending legal-status Critical Current

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • H04W4/025Services making use of location information using location based information parameters
    • H04W4/027Services making use of location information using location based information parameters using movement velocity, acceleration information
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/40Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W64/00Locating users or terminals or network equipment for network management purposes, e.g. mobility management
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W64/00Locating users or terminals or network equipment for network management purposes, e.g. mobility management
    • H04W64/006Locating users or terminals or network equipment for network management purposes, e.g. mobility management with additional information processing, e.g. for direction or speed determination
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W8/00Network data management
    • H04W8/22Processing or transfer of terminal data, e.g. status or physical capabilities

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Databases & Information Systems (AREA)
  • Traffic Control Systems (AREA)

Abstract

The present invention relates to a kind of judgment methods of trip mode based on mobile terminal, comprising: the movement velocity and motion profile of monitoring object in the acquisition for mobile terminal travel time section carried by monitoring object;Calculate the radius of curvature of each bending part in the motion profile;According to the trip mode for judging the monitoring object in above-mentioned movement velocity and motion profile.Data needed for method of the invention are few, and calculation amount is small, and judgement is simple accurate, can be convenient, judges the trip mode of magnanimity monitoring object fast, in time, are particularly suitable for the large size city of population million even ten million or more.

Description

A kind of judgment method of the trip mode based on mobile terminal
Technical field
The present invention relates to a kind of judgment methods of trip mode based on mobile terminal.
Background technique
The carbon generalized system of preferences is to assign value and the incentive mechanism of foundation for the carbon reduction behavior of citizen and little Wei enterprise.It encourages The public voluntarily practices low-carbon, few to resource occupation or motivated for the low-carbon society public that contributes of creation and enterprise, benefit Reach the public with market construction effect and play an active part in energy-saving and emission-reduction, is the main purpose of carbon generalized system of preferences degree.The trip of city dweller Mode includes walking, cycling trip (riding), Vehicle emission isotype, wherein walking, public transport, ride as Green Travel It is with the low-carbon behavior for directly subtracting carbon effect.For the daily low-carbon behavior for quantifying resident, need to above-mentioned various Green Travel Mode is judged and is recorded.
It is currently known a variety of methods for obtaining user's trip data using mobile terminal and judging trip mode.For example, CN103606279B discloses the corresponding acceleration of acceleration frequency shaken according to smart phone holder under various trip modes Frequency spectrum is spent to judge the method for trip mode;It is comprehensive that CN105117789A discloses the resident trip mode based on mobile phone signaling data Method for distinguishing is sentenced in conjunction, and data source is the mobile phone signaling data that Mobile Network Operator provides, and then passes through data cleansing, integrates And position conversion is handled, and is carried out by the identification portrayed with dwell point in Mobile Space-time path to resident trip mode Differentiate.However, these methods generally there are at high cost, heavy workload, data processing cycle is long, content subjectivity is strong, data not The problems such as accurate.Therefore, there is still a need for the judgment method of improved resident trip mode.
Summary of the invention
In order to solve the above technical problems, the present invention provides a kind of judgment method of trip mode based on mobile terminal, Include:
Step S100, the movement velocity of monitoring object in the acquisition for mobile terminal travel time section carried by monitoring object And motion profile;
Step S200 calculates the radius of curvature of each bending part in the motion profile;
Step S300, according to the trip mode for judging the monitoring object in above-mentioned movement velocity and motion profile, comprising:
Step S310, when movement velocity be less than or equal to First Speed threshold value and there are the radius of curvature of bending part be less than etc. When first curvature radius, judge the trip mode of monitoring object for the first trip mode;
Step S320, it is and all curved when movement velocity is greater than First Speed threshold value and is less than or equal to second speed threshold value When the radius of curvature of bent portions is all larger than first curvature radius and is less than or equal to second curvature radius, the trip of monitoring object is judged Mode is the second trip mode;
Step S330, when movement velocity is greater than second speed threshold value, and the radius of curvature of all bending parts is all larger than When second curvature radius, judge the trip mode of monitoring object for third trip mode.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, it describes by way of example, and not limitation Specific embodiment consistent with the principles of the present invention, the description of these embodiments be it is detailed enough so that ability Field technique personnel can practice the present invention, other embodiment party can be used without departing from the scope and spirit of the present invention Formula and the structure that can change and/or replace each element.Therefore, should not understand from restrictive sense below detailed Description.
One embodiment of the present of invention provides a kind of judgment method of trip mode based on mobile terminal, comprising:
Step S100, the movement velocity of monitoring object in the acquisition for mobile terminal travel time section carried by monitoring object And motion profile;In the present embodiment, monitoring object is to carry the mobile terminal registered in the database, the mobile terminal tool There is positioning device based on GPS or dipper system and can be used with the communication devices such as GPRS, WiFi of the database communication In monitoring, record and to the database upload monitoring object the exercise data including movement velocity and motion profile, wherein Method using the logical location data monitoring movement velocity of GPS or the Big Dipper and motion profile be it is any appropriate in the prior art Known method;Such as movement velocity can be between two monitoring object positions that two neighboring positioning time is measured away from From the value obtained divided by the time difference between two neighboring positioning time or its any appropriate average value;Motion profile can be out The set for the monitoring object position that each positioning time is measured in the row period or its any appropriate matched curve;
Step S200 calculates the radius of curvature of each bending part in the motion profile;Wherein, the bending part is Refer to the portion that adjacent three or more points or matched curve mean curvature in motion profile not point-blank are greater than zero Point, represent the turning radius turned in monitoring object motion process;The radius of curvature can be by known to any appropriate Method calculates;For example, when the matched curve of the motion profile of monitoring object is indicated by following parametric equation (1),
Wherein x, y are the coordinate of t moment monitoring object;
The monitoring object t moment movement velocity v by shown in equation (2),
Radius of curvature R of the monitoring object in t momenttBy shown in formula (3),
Step S300 judges the trip mode of the monitoring object according to above-mentioned movement velocity and motion profile, comprising:
Step S310, when movement velocity v is less than or equal to First Speed threshold value and there are the radius of curvature R of bending parttIt is small When being equal to first curvature radius, judge the trip mode of monitoring object for the first trip mode;
Step S320, it is and all curved when movement velocity v is greater than First Speed threshold value and is less than or equal to second speed threshold value The radius of curvature R of bent portionstWhen being all larger than first curvature radius and being less than or equal to second curvature radius, going out for monitoring object is judged Line mode is the second trip mode;
Step S330, when movement velocity v is greater than second speed threshold value, and the radius of curvature R of all bending partstIt is big When second curvature radius, judge the trip mode of monitoring object for third trip mode.
In some cases, the First Speed threshold value is the walking speed of people, for example, 5-10km/h, first curvature half Turning radius when diameter is people's property, such as 1m or smaller;Second speed threshold value is riding speed, such as 15-30km/h, second Radius of curvature is turning radius when riding, such as 3m or smaller;First trip mode is manner of walking;Described second goes out Line mode is mode of riding;The third trip mode is Vehicle emission mode.
The turning radius of the automobile of current motor vehicle especially four-wheel or more wheel is all larger than 3m, and people turns when riding Curved radius can be 3m or smaller, and turning radius of people when on foot can be 1m or smaller, therefore combine the fortune of monitoring object Dynamic speed and turning radius are to be convenient to judge the trip mode of monitoring object.Data needed for the above method are few, and calculation amount is small, Judgement is simple accurate, therefore can effectively save computing capability, it is convenient, fast, judge in time magnanimity monitoring object out Line mode is particularly suitable for the even ten million above large size city of population million.
In some cases, the mobile terminal further includes accelerometer or gyroscope for more accurately measurement monitoring pair The motion profile of elephant, and the more accurate radius of curvature for each bending part being calculated in motion profile accordingly.For example, working as The matched curve of the motion profile of the monitoring object obtained according to GPS or Beidou positioning device is indicated by following parametric equation (1) When,
Wherein x, y are the coordinate of t moment monitoring object;
Positioning accuracy although current high-precision GPS and Beidou positioning device can achieve 0.3m hereinafter, According to environment and appointed condition, the positioning accuracy of GPS and Beidou positioning device is only capable of reaching about 5-10 meters in many cases, phase Error is declined with speed and is increased, therefore as the t in the travel time sectioniMoment is to ti+1There is movement velocity v in moment When less than the case where First Speed threshold value, can be measured by accelerometer on mobile terminal or gyroscope monitoring object plus Velocity amplitude, wherein the parametric equation of acceleration value can be
Wherein, axAnd ayIt is tiMoment is to ti+1Arbitrary t moment monitoring object is in x-axis direction and y-axis direction in moment Acceleration;
Then tiMoment is to ti+1The motion profile of arbitrary t moment monitoring object is indicated by formula (4) in moment,
Wherein xiAnd yiIt is tiThe position of moment monitoring object, vxiAnd vyiIt is tiMoment, monitoring object was in x-axis direction and y-axis The speed in direction, these data for example can be by GPS or Beidou positioning device in tiThe motion profile of chronometry determines.
In some cases, the travel time section is the time between the two neighboring halted state of the monitoring object Length namely travel time section do not include halted state, and monitoring object described in the travel time section continuously moves;Or Person, the travel time section are first halted state and end halted state in continuous multiple halted states of the monitoring object Between time span namely travel time section in include continuous multiple halted states and multiple time subsegments, wherein often The duration of a halted state is no more than 15min, such as no more than 10min or 5min, monitors described in each time subsegment Object continuously moves.In general, when the halted state duration be no more than 15min when, it can be determined that monitoring object be in etc. To traffic lights or it is in congestion status, therefore the time subsegment before and after halted state can be included in the travel time section;And When the halted state is too long, then it may determine that monitoring object has been detached from trip state.By daily each of monitoring object Travel time section, especially in certain special time periods (such as morning peak or evening peak), is counted by trip mode The Green Travel time of monitoring object is obtained, to provide basic data for the carbon generalized system of preferences.
In some cases, the movement velocity is the monitoring object in the travel time section maximum speed or Average speed of the monitoring object described in person between two neighboring halted state.When the travel time section includes continuously multiple stops Only state and when multiple time subsegments, the movement velocity be the monitoring object in the multiple time subsegment it is each most The maximum of maximum value or the monitoring object in each average speed in the multiple time subsegment in big speed Value.Judged using maximum speed, advantageously reduce will take run at a low speed motor vehicle monitoring object be mistaken for walking or It rides;And the monitoring object that will be run once in a while is advantageously reduced using average speed and is mistaken for non-manner of walking.
In step s310, can also motor vehicle querying motion database, if existing in identical travel time section and institute Monitoring object is stated when two or more halted states synchronize start-stop and distance is less than the motor vehicle of first distance threshold value, judgement The trip mode of the monitoring object is third trip mode, and the first distance threshold value is 2-15m.In step s 320, it looks into Motor vehicle motion database is ask, if existing in identical travel time section same in each halted state with the monitoring object Walk start-stop and distance be less than first distance threshold value motor vehicle when, judge the trip mode of the monitoring object for third trip side Formula, the first distance threshold value are 2-15m.Different first distance threshold values can be chosen for different motor vehicles.For example, working as When monitoring object takes car, the mobile terminal of monitoring object is usually at a distance from the GPS of car or Beidou positioning device Typically not greater than 2m, and the relative position of the two is basically unchanged;And when monitoring object takes full-sized bus, monitoring object Mobile terminal may reach 10m at a distance from positioning device for public bus, and relative position may be with monitoring object on bus Movement and change, however monitoring object will start-stop synchronous with bus.If the motor vehicle is public transit vehicle, it can determine whether The trip mode of the monitoring object is vehicle trip of taking pubic transport, this can also be used as a kind of Green Travel mode.
According to disclosed specification of the invention, other realizations of the invention are obvious for those skilled in the art 's.The various aspects of embodiment and/or embodiment can be used for system of the invention and side individually or with any combination In method.Specification and example therein should be only be regarded solely as it is exemplary, the actual scope of the present invention and spirit by appended right Claim indicates.

Claims (8)

1. a kind of judgment method of the trip mode based on mobile terminal characterized by comprising
Step S100, the movement velocity and fortune of monitoring object in the acquisition for mobile terminal travel time section carried by monitoring object Dynamic rail mark;
Step S200 calculates the radius of curvature of each bending part in the motion profile;
Step S300 judges the trip mode of the monitoring object according to above-mentioned movement velocity and motion profile, comprising:
Step S310, when movement velocity is less than or equal to First Speed threshold value and there are the radius of curvature of bending part to be less than or equal to the When one radius of curvature, judge the trip mode of monitoring object for the first trip mode;
Step S320, when movement velocity is greater than First Speed threshold value and is less than or equal to second speed threshold value, and all bending sections When the radius of curvature divided is all larger than first curvature radius and is less than or equal to second curvature radius, the trip mode of monitoring object is judged For the second trip mode;
Step S330, when movement velocity is greater than second speed threshold value, and the radius of curvature of all bending parts is all larger than second When radius of curvature, judge the trip mode of monitoring object for third trip mode.
2. the judgment method of the trip mode based on mobile terminal according to claim 1, which is characterized in that described first Threshold speed is 5-10km/h, first curvature radius 1m;Second speed threshold value is 15-30km/h, second curvature radius 3m; First trip mode is manner of walking;Second trip mode is mode of riding;The third trip mode is motor-driven Vehicle trip mode.
3. the judgment method of the trip mode according to claim 1 or 2 based on mobile terminal, which is characterized in that described Time span namely travel time section of the travel time section between the two neighboring halted state of the monitoring object are not Including halted state, monitoring object described in the travel time section is continuously moved;Alternatively, the travel time section is the prison Survey time span in continuous multiple halted states of object between first halted state and end halted state namely it is described go out It include continuous multiple halted states and multiple time subsegments in the row period, wherein the duration of each halted state is no more than 15min, monitoring object described in each time subsegment continuously move.
4. the judgment method of the trip mode based on mobile terminal as claimed in one of claims 1-3, feature exist In the movement velocity is maximum speed or the monitoring object of the monitoring object in the travel time section in phase Average speed between adjacent two halted states.
5. the judgment method of the trip mode based on mobile terminal according to claim 4, which is characterized in that in step In S310, when the travel time section includes continuous multiple halted states and multiple time subsegments, the movement velocity is institute Maximum value or the monitoring object of the monitoring object in each maximum speed in the multiple time subsegment are stated described The maximum value in each average speed in multiple time subsegments.
6. the judgment method of the trip mode according to any one of claim 3-5 based on mobile terminal, feature exist In,
In the step s 100, the motion profile of the monitoring object is indicated by parametric equation (1),
Wherein x, y are the coordinate of t moment monitoring object;
The monitoring object t moment movement velocity v by shown in equation (2),
In step s 200, radius of curvature R of the monitoring object in t momenttBy shown in formula (3),
7. the judgment method of the trip mode based on mobile terminal as claimed in one of claims 1-6, feature exist In in the step s 100, the motion profile of the monitoring object is by being set to the GPS or Beidou positioning device of the mobile terminal Measurement.
8. the judgment method of the trip mode based on mobile terminal according to claim 7, which is characterized in that in step In S100, as the t in the travel time sectioniMoment is to ti+1There are the feelings that movement velocity v is less than First Speed threshold value in moment When condition, the acceleration value of monitoring object is measured by accelerometer or gyroscope, the parametric equation of acceleration value is
Wherein, axAnd ayIt is t respectivelyiMoment is to ti+1Arbitrary t moment monitoring object is in x-axis direction and y-axis direction in moment Acceleration;
Then tiMoment is to ti+1The motion profile of arbitrary t moment monitoring object is indicated by formula (4) in moment,
Wherein xiAnd yiIt is tiThe position of moment monitoring object, vxiAnd vyiIt is tiMoment monitoring object is in x-axis direction and y-axis direction Speed.
CN201811200473.0A 2018-10-16 2018-10-16 A kind of judgment method of the trip mode based on mobile terminal Pending CN109413567A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811200473.0A CN109413567A (en) 2018-10-16 2018-10-16 A kind of judgment method of the trip mode based on mobile terminal

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811200473.0A CN109413567A (en) 2018-10-16 2018-10-16 A kind of judgment method of the trip mode based on mobile terminal

Publications (1)

Publication Number Publication Date
CN109413567A true CN109413567A (en) 2019-03-01

Family

ID=65467183

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811200473.0A Pending CN109413567A (en) 2018-10-16 2018-10-16 A kind of judgment method of the trip mode based on mobile terminal

Country Status (1)

Country Link
CN (1) CN109413567A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111125552A (en) * 2019-11-11 2020-05-08 北京金山安全软件有限公司 Movement track drawing method and device, electronic equipment and storage medium
CN113256830A (en) * 2021-05-07 2021-08-13 广州红海云计算股份有限公司 Intelligent real-time attendance checking method and device of attendance checking management device
EP4075372A1 (en) * 2021-04-16 2022-10-19 National Chung Hsing University Method of calculating a carbon credit

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140200768A1 (en) * 2013-01-11 2014-07-17 Denso Corporation Vehicle travel assisting device
CN105117789A (en) * 2015-07-29 2015-12-02 西南交通大学 Resident trip mode comprehensive judging method based on handset signaling data
CN105303854A (en) * 2015-09-11 2016-02-03 百度在线网络技术(北京)有限公司 Travel route data processing method and device
CN108229567A (en) * 2018-01-09 2018-06-29 北京荣之联科技股份有限公司 Driver identity recognition methods and device
CN109886724A (en) * 2018-12-29 2019-06-14 中南大学 A kind of resident trip track recognizing method of robustness

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140200768A1 (en) * 2013-01-11 2014-07-17 Denso Corporation Vehicle travel assisting device
CN105117789A (en) * 2015-07-29 2015-12-02 西南交通大学 Resident trip mode comprehensive judging method based on handset signaling data
CN105303854A (en) * 2015-09-11 2016-02-03 百度在线网络技术(北京)有限公司 Travel route data processing method and device
CN108229567A (en) * 2018-01-09 2018-06-29 北京荣之联科技股份有限公司 Driver identity recognition methods and device
CN109886724A (en) * 2018-12-29 2019-06-14 中南大学 A kind of resident trip track recognizing method of robustness

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111125552A (en) * 2019-11-11 2020-05-08 北京金山安全软件有限公司 Movement track drawing method and device, electronic equipment and storage medium
CN111125552B (en) * 2019-11-11 2024-02-13 北京金山安全软件有限公司 Method and device for drawing moving track, electronic equipment and storage medium
EP4075372A1 (en) * 2021-04-16 2022-10-19 National Chung Hsing University Method of calculating a carbon credit
CN113256830A (en) * 2021-05-07 2021-08-13 广州红海云计算股份有限公司 Intelligent real-time attendance checking method and device of attendance checking management device
CN113256830B (en) * 2021-05-07 2022-02-22 广州红海云计算股份有限公司 Intelligent real-time attendance checking method and device of attendance checking management device

Similar Documents

Publication Publication Date Title
CN109413567A (en) A kind of judgment method of the trip mode based on mobile terminal
CN111091720B (en) Congestion road section identification method and device based on signaling data and floating car data
CN105547322B (en) A kind of method that VMT Vehicle-Miles of Travel calculating is carried out using satellite location data
CN113240938B (en) Method for intelligently changing urban traffic light phase sequence and urban comprehensive intelligent traffic system thereof
CN101339042A (en) Personalized dynamic road condition information creation and navigation system
CN105606120B (en) The control method and device of pedometer
CN107240264B (en) A kind of non-effective driving trace recognition methods of vehicle and urban road facility planing method
CN106952493A (en) A kind of control method and system of shared vehicle management system
CN109598977A (en) Vehicle checking method, device, system and server based on video monitoring
CN103065497B (en) A kind of method and system of parking stall measure
CN105682034A (en) Step counting method and related device, detection method and related device
CN113052405B (en) Traffic jam prediction and optimization method based on Internet of things and artificial intelligence
Arab et al. Magnopark-locating on-street parking spaces using magnetometer-based pedestrians' smartphones
CN105160867B (en) Traffic message Forecasting Methodology
CN109146506A (en) Examine method and system, terminal device, the computer equipment of cheating order
CN113139410A (en) Road surface detection method, device, equipment and storage medium
CN112579915B (en) Analysis method and device for trip chain
CN111723835A (en) Vehicle movement track distinguishing method and device and electronic equipment
CN110633558A (en) Urban traffic system modeling system
CN112508228A (en) Driving behavior risk prediction method and system
CN114997493A (en) Method and system for predicting carbon emission of vehicles on highway
CN105825675B (en) A kind of road trip time calculation method and device based on big data
Cherry et al. Alternative methods of measuring operating speed of electric and traditional bikes in China-implications for travel demand models
CN109327798A (en) A kind of judgment method of the trip mode based on mobile terminal
CN103310633A (en) Traffic congestion evaluation method

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
WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20190301