CN107103506A - The decision method of the heavy duty zone of public bicycles - Google Patents
The decision method of the heavy duty zone of public bicycles Download PDFInfo
- Publication number
- CN107103506A CN107103506A CN201710206750.8A CN201710206750A CN107103506A CN 107103506 A CN107103506 A CN 107103506A CN 201710206750 A CN201710206750 A CN 201710206750A CN 107103506 A CN107103506 A CN 107103506A
- Authority
- CN
- China
- Prior art keywords
- region
- threshold value
- mrow
- probability
- heavy duty
- 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
Links
- 238000000034 method Methods 0.000 title claims abstract description 26
- 230000002123 temporal effect Effects 0.000 claims abstract description 7
- 238000005516 engineering process Methods 0.000 description 5
- 238000006467 substitution reaction Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000009440 infrastructure construction Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000035515 penetration Effects 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0645—Rental transactions; Leasing transactions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Economics (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Finance (AREA)
- Development Economics (AREA)
- Tourism & Hospitality (AREA)
- Educational Administration (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Traffic Control Systems (AREA)
Abstract
Disclose a kind of decision method of the heavy duty zone of public bicycles.This method can include:Based on cartographic information and temporal information, multiple regions and multiple periods are divided;Obtain access times of the public bicycles in each region of each period;Set the first frequency threshold value;If access times of some region in certain period reach the first frequency threshold value, marked region is heavy duty zone in the period.The present invention all-sidedly and accurately judges whether region is busy by various dimensions comprehensive descision, realization, and then lifts the utilization rate of public bicycles.
Description
Technical field
The present invention relates to public bicycles field, more particularly, to a kind of judgement of the heavy duty zone of public bicycles
Method.
Background technology
With the development of China's economic, national income is generally improved, and Chinese residents family private car recoverable amount is notable
Rise, but limited by urban planning and urban infrastructure construction, the development of China's urban road has not caught up with me
The rising of state's private car recoverable amount.The discharge of a large amount of vehicle exhausts, causes air quality drastically to decline, haze is serious simultaneously.Cause
This, current country vigorously advocates Green Travel, low-carbon life.
With the penetration and promotion of public bicycles, increasing people selects public bicycles as short distance walking-replacing tool,
It has become the important component of public transport in some cities of China.It is accustomed to according to urban planning and resident trip,
The movement of population concentration zones such as public transport site, residential block and tourist district have set multiple bicycles to rent station, and user passes through mobile phone
APP, which places an order, to be preengage or the directly rental of the i.e. achievable public bicycles of barcode scanning unlocking.Some current public bicycles skewness
Deng, occur some regions demand is larger but the problem of public bicycles negligible amounts, causes utilization rate low, causes resource
Waste.Therefore, it is necessary to develop a kind of decision method of the heavy duty zone of public bicycles.
The information for being disclosed in background of invention part is merely intended to deepen the reason of the general background technology to the present invention
Solution, and be not construed as recognizing or imply known to those skilled in the art existing of the information structure in any form
Technology.
The content of the invention
The present invention proposes a kind of decision method of the heavy duty zone of public bicycles, and it can be integrated by various dimensions sentences
Disconnected, realization all-sidedly and accurately judges whether region is busy, and then lifts the utilization rate of public bicycles.
According to an aspect of the invention, it is proposed that a kind of decision method of the heavy duty zone of public bicycles.Methods described
It can include:Based on cartographic information and temporal information, multiple regions and multiple periods are divided;Public bicycles are obtained each
The access times in each region of period;Set the first frequency threshold value;If access times of some region in certain period reach
To the first frequency threshold value, it is heavy duty zone in the period to mark the region.
Preferably, the access times include setting out number of times with stopping number of times.
Preferably, in addition to:Searching times of the public bicycles in each region of each period are obtained to meet with search
Number of times;Number of times is met based on searching times and search, search is obtained and meets probability;Setting search meets probability threshold value;If certain
The search of the individual region in certain period meets probability and reaches that the search meets probability threshold value, marks the region at this
Between section be heavy duty zone.
Preferably, the search meets probability and is:
Wherein, PSRepresent that the search meets probability, S represents the searching times, SmRepresent that the search meets number of times.
Preferably, in addition to:Reservation number of times of the public bicycles in each region of each period is obtained to meet with reservation
Number of times;Number of times is met based on reservation number of times and reservation, reservation is obtained and meets probability;Setting reservation meets probability threshold value;If certain
Reservation of the individual region in certain period meets probability and reaches that reservation meets probability threshold value, and it is numerous in the period to mark the region
Busy region.
Preferably, the reservation meets probability and is:
Wherein, PYRepresent that the reservation meets probability, Y represents the reservation number of times, YmRepresent that the reservation meets number of times.
Preferably, in addition to:Set the second frequency threshold value, if some region certain period access times less than the
Two frequency threshold values, it is clear area in the period to mark the region.
Preferably, in addition to:Based on number of times and the number of times that sets out is stopped, acquisition uses probability;Setting uses probability threshold value;Such as
Really use probability of some region in certain period, which is more than, uses probability threshold value, and it is free area in the period to mark the region
Domain.
Preferably, the use probability is:
Wherein, P represents the use probability, and T represents the stop number of times, and C represents the number of times that sets out.
Preferably, in addition to:If some region certain period access times in the first frequency threshold value and second
Between number threshold value, it is normal region in the period to mark the region.
The method of the present invention has other characteristics and an advantage, these characteristics and advantage from the accompanying drawing being incorporated herein and with
It will be apparent in embodiment afterwards, or by the accompanying drawing and subsequent embodiment being incorporated herein
Middle to be stated in detail, these the drawings and specific embodiments are provided commonly for explaining the certain principles of the present invention.
Brief description of the drawings
By the way that exemplary embodiment of the invention is described in more detail with reference to accompanying drawing, it is of the invention above-mentioned and its
Its purpose, feature and advantage will be apparent, wherein, in exemplary embodiment of the invention, identical reference number
Typically represent same parts.
The flow chart for the step of Fig. 1 shows the decision method of the heavy duty zone of the public bicycles according to the present invention.
Embodiment
The present invention is more fully described below with reference to accompanying drawings.Although showing the side of being preferable to carry out of the present invention in accompanying drawing
Formula, however, it is to be appreciated that may be realized in various forms the present invention without that should be limited by embodiments set forth herein.Phase
Instead there is provided these embodiments be in order that the present invention is more thorough and complete, and can be by the scope of the present invention intactly
Convey to those skilled in the art.
Embodiment
The flow chart for the step of Fig. 1 shows the decision method of the heavy duty zone of the public bicycles according to the present invention.
In this embodiment, it can be included according to the decision method of the heavy duty zone of the public bicycles of the present invention:Step
Rapid 101, based on cartographic information and temporal information, divide multiple regions and multiple periods;Step 102, public bicycles are obtained
Access times in each region of each period;Step 103, the first frequency threshold value is set;And step 104, if some
Access times of the region in certain period reach the first frequency threshold value, and marked region is heavy duty zone in the period.
The embodiment all-sidedly and accurately judges whether region is busy by various dimensions comprehensive descision, realization, and then is lifted
The utilization rate of public bicycles.
The following detailed description of the specific steps of the decision method of the heavy duty zone of the public bicycles according to the present invention.
In one example, based on cartographic information and temporal information, multiple regions and multiple periods are divided;Obtain public
Access times of the bicycle in each region of each period;Set the first frequency threshold value;If some region is in certain period
Access times reach the first frequency threshold value, marked region is heavy duty zone in the period.
In one example, access times include setting out number of times with stopping number of times.
In one example, set the second frequency threshold value, if some region certain period access times less than the
Two frequency threshold values, marked region is clear area in the period.
In one example, if some region certain period access times in the first frequency threshold value and second number
Between threshold value, marked region is normal region in the period.
Specifically, information and temporal information according to the map, divide multiple regions and multiple periods;Obtain public bicycles
Access times in each region of each period, wherein, access times include setting out number of times with stopping number of times;Setting is for the first time
Number threshold value and the second frequency threshold value, if access times of some region in certain period reach the first frequency threshold value, mark zone
Domain is heavy duty zone in the period;If some region certain period access times in the first frequency threshold value and second
Between number threshold value, marked region is normal region in the period;If access times of some region in certain period are less than
Second frequency threshold value, marked region is clear area in the period.
In one example, based on number of times and the number of times that sets out is stopped, acquisition uses probability;Setting uses probability threshold value;Such as
Really use probability of some region in certain period, which is more than, uses probability threshold value, and marked region is clear area in the period.
In one example, it is using probability:
Wherein, P represents to use probability, and T represents to stop number of times, and C represents the number of times that sets out.
Specifically, setting uses probability threshold value, will stop number of times and the number of times that sets out substitutes into formula (1), acquisition uses probability,
If use probability of some region in certain period, which is more than, uses probability threshold value, marked region is free area in the period
Domain, probability threshold value is used if be less than or equal to using probability, and marked region is heavy duty zone in the period.
In one example, searching times of the public bicycles in each region of each period are obtained and meet secondary with search
Number;Number of times is met based on searching times and search, search is obtained and meets probability;Setting search meets probability threshold value;If some
Search of the region in certain period meets probability and reaches that search meets probability threshold value, and marked region is busy area in the period
Domain.
In one example, search meets probability and is:
Wherein, PSRepresent that search meets probability, S represents searching times, SmRepresent that search meets number of times.
Specifically, setting search meets probability threshold value, and the search by public bicycles in each region of each period is secondary
Number meets number of times with search and substitutes into formula (2), calculates search and meets probability, if search meets probability and meets probability less than search
Threshold value, marked region is clear area in the period, if search meets probability and meets probability threshold value more than or equal to search,
Marked region is heavy duty zone in the period.
In one example, obtain reservation number of times of the public bicycles in each region of each period and meet secondary with reservation
Number;Number of times is met based on reservation number of times and reservation, reservation is obtained and meets probability;Setting reservation meets probability threshold value;If some
Reservation of the region in certain period meets probability and reaches that reservation meets probability threshold value, and marked region is busy area in the period
Domain.
In one example, reservation meets probability and is:
Wherein, PYRepresent that reservation meets probability, Y represents to preengage number of times, YmRepresent that reservation meets number of times.
Specifically, setting reservation meets probability threshold value, and the reservation by public bicycles in each region of each period is secondary
Number meets number of times with reservation and substitutes into formula (3), calculates reservation and meets probability, if reservation meets probability and meets probability less than reservation
Threshold value, marked region is clear area in the period, if reservation meets probability and meets probability threshold value more than or equal to reservation,
Marked region is heavy duty zone in the period.
Using example
For ease of understanding the scheme and its effect of embodiment of the present invention, a concrete application example given below.Ability
Field technique personnel should be understood that the example only for the purposes of understanding the present invention, and its any detail is not intended in any way
The limitation present invention.
Information and temporal information, divide multiple regions and multiple periods, set the first frequency threshold value as 50 according to the map
Secondary, the second frequency threshold value is 20 times, the use of probability threshold value is 0, and it is 0 that search, which meets probability threshold value, and reservation meets probability threshold value and is
0.Commercial circle is in the morning 8 near certain subway station:00-10:The number of times that sets out of 00 period is 50 time, and it is 20 times to stop number of times, then makes
It it is 70 times with number of times, searching times are 70 times, search meets number of times for 50 times, reservation number of times is 25 times, and reservation meets number of times and is
20 times.Access times are more than the first frequency threshold value, judge the region in the morning 8 according to this:00-10:00 period was heavy duty zone;
To be set out number of times 50 times, be stopped number of times and substituted into formula (1) for 20 times, it is -1.5 that calculating, which is obtained using probability, less than using probability
Threshold value, judges the region in the morning 8 according to this:00-10:00 period was heavy duty zone;By searching times 70 times, search is met time
In 50 substitution formula (2) of number, it is 0.4 that calculating, which obtains search and meets probability, and more than probability threshold value is used, the region is judged according to this
In the morning 8:00-10:00 period was heavy duty zone;Number of times will be preengage 25 times, reservation meets 20 substitution formula (3) of number of times
In, it is 0.4 that calculating, which is obtained using probability, more than probability threshold value is used, judges the region in the morning 8 according to this:00-10:00 time
Section is heavy duty zone, to sum up, and commercial circle is in the morning 8 near the subway station:00-10:00 period was heavy duty zone.
In summary, this method is by various dimensions comprehensive descision, and realization all-sidedly and accurately judges whether region is busy, and then
Lift the utilization rate of public bicycles.
It will be understood by those skilled in the art that the purpose of the description above to embodiments of the present invention is only for exemplarily
Illustrate the beneficial effect of embodiments of the present invention, be not intended to embodiments of the present invention being limited to given any show
Example.
It is described above the embodiments of the present invention, described above is exemplary, and non-exclusive, and
It is also not necessarily limited to disclosed each embodiment.It is right in the case of without departing from the scope and spirit of illustrated each embodiment
Many modifications and changes will be apparent from for those skilled in the art.The choosing of term used herein
Select, it is intended to best explain the principle, practical application or the improvement to the technology in market of each embodiment, or make this technology
Other those of ordinary skill in field are understood that each embodiment disclosed herein.
Claims (10)
1. a kind of decision method of the heavy duty zone of public bicycles, including:
Based on cartographic information and temporal information, multiple regions and multiple periods are divided;
Obtain access times of the public bicycles in each region of each period;
Set the first frequency threshold value;
If access times of some region in certain period reach the first frequency threshold value, the mark region is in the period
Heavy duty zone.
2. the decision method of the heavy duty zone of public bicycles according to claim 1, wherein, the access times include
Number of times set out with stopping number of times.
3. the decision method of the heavy duty zone of public bicycles according to claim 1, wherein, in addition to:
Obtain searching times of the public bicycles in each region of each period and meet number of times with search;
Number of times is met based on searching times and search, search is obtained and meets probability;
Setting search meets probability threshold value;
If the search of some region in certain period, which meets probability, reaches that the search meets probability threshold value, mark is described
Region is heavy duty zone in the period.
4. the decision method of the heavy duty zone of public bicycles according to claim 3, wherein, the search meets probability
For:
<mrow>
<msub>
<mi>P</mi>
<mi>S</mi>
</msub>
<mo>=</mo>
<mfrac>
<mrow>
<mi>S</mi>
<mo>-</mo>
<msub>
<mi>S</mi>
<mi>m</mi>
</msub>
</mrow>
<msub>
<mi>S</mi>
<mi>m</mi>
</msub>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>2</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein, PSRepresent that the search meets probability, S represents the searching times, SmRepresent that the search meets number of times.
5. the decision method of the heavy duty zone of public bicycles according to claim 1, wherein, in addition to:
Obtain reservation number of times of the public bicycles in each region of each period and meet number of times with reservation;
Number of times is met based on reservation number of times and reservation, reservation is obtained and meets probability;
Setting reservation meets probability threshold value;
If reservation of some region in certain period, which meets probability, reaches that reservation meets probability threshold value, the region is marked at this
Period is heavy duty zone.
6. the decision method of the heavy duty zone of public bicycles according to claim 5, wherein, the reservation meets probability
For:
<mrow>
<msub>
<mi>P</mi>
<mi>Y</mi>
</msub>
<mo>=</mo>
<mfrac>
<mrow>
<mi>Y</mi>
<mo>-</mo>
<msub>
<mi>Y</mi>
<mi>m</mi>
</msub>
</mrow>
<msub>
<mi>Y</mi>
<mi>m</mi>
</msub>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>3</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein, PYRepresent that the reservation meets probability, Y represents the reservation number of times, YmRepresent that the reservation meets number of times.
7. the decision method of the heavy duty zone of public bicycles according to claim 1, wherein, in addition to:Setting second
Frequency threshold value, if access times of some region in certain period are less than the second frequency threshold value, marks the region at this
Between section be clear area.
8. the decision method of the heavy duty zone of public bicycles according to claim 7, wherein, in addition to:
Based on number of times and the number of times that sets out is stopped, acquisition uses probability;
Setting uses probability threshold value;
If use probability of some region in certain period, which is more than, uses probability threshold value, the mark region is in the period
Clear area.
9. the decision method of the heavy duty zone of public bicycles according to claim 8, wherein, the use probability is:
<mrow>
<mi>P</mi>
<mo>=</mo>
<mfrac>
<mrow>
<mi>T</mi>
<mo>-</mo>
<mi>C</mi>
</mrow>
<mi>T</mi>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein, P represents the use probability, and T represents the stop number of times, and C represents the number of times that sets out.
10. the decision method of the heavy duty zone of public bicycles according to claim 7, wherein, in addition to:If some
Region certain period access times between the first frequency threshold value and the second frequency threshold value, mark the region in the time
Section is normal region.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710206750.8A CN107103506A (en) | 2017-03-31 | 2017-03-31 | The decision method of the heavy duty zone of public bicycles |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710206750.8A CN107103506A (en) | 2017-03-31 | 2017-03-31 | The decision method of the heavy duty zone of public bicycles |
Publications (1)
Publication Number | Publication Date |
---|---|
CN107103506A true CN107103506A (en) | 2017-08-29 |
Family
ID=59675350
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710206750.8A Pending CN107103506A (en) | 2017-03-31 | 2017-03-31 | The decision method of the heavy duty zone of public bicycles |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107103506A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110118561A (en) * | 2019-06-10 | 2019-08-13 | 华东师范大学 | A kind of unmanned boat paths planning method and unmanned boat |
CN113903122A (en) * | 2021-09-30 | 2022-01-07 | 宁波小遛共享信息科技有限公司 | Temporary locking method and device for shared vehicle and computer equipment |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105528749A (en) * | 2015-11-27 | 2016-04-27 | 浙江科技学院 | Fault detection system and method for public bicycles |
CN105590288A (en) * | 2015-11-27 | 2016-05-18 | 浙江科技学院 | Public bike fault bike determination system and method |
CN105719019A (en) * | 2016-01-21 | 2016-06-29 | 华南理工大学 | Public bicycle peak time demand prediction method considering user reservation data |
CN105809833A (en) * | 2016-02-24 | 2016-07-27 | 北京易代步科技有限公司 | Bicycle management method and system |
-
2017
- 2017-03-31 CN CN201710206750.8A patent/CN107103506A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105528749A (en) * | 2015-11-27 | 2016-04-27 | 浙江科技学院 | Fault detection system and method for public bicycles |
CN105590288A (en) * | 2015-11-27 | 2016-05-18 | 浙江科技学院 | Public bike fault bike determination system and method |
CN105719019A (en) * | 2016-01-21 | 2016-06-29 | 华南理工大学 | Public bicycle peak time demand prediction method considering user reservation data |
CN105809833A (en) * | 2016-02-24 | 2016-07-27 | 北京易代步科技有限公司 | Bicycle management method and system |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110118561A (en) * | 2019-06-10 | 2019-08-13 | 华东师范大学 | A kind of unmanned boat paths planning method and unmanned boat |
CN113903122A (en) * | 2021-09-30 | 2022-01-07 | 宁波小遛共享信息科技有限公司 | Temporary locking method and device for shared vehicle and computer equipment |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US8504034B2 (en) | System and method for population tracking, counting, and movement estimation using mobile operational data and/or geographic information in mobile network | |
US20150181374A1 (en) | Mobile device, method and recording medium | |
CN108288321A (en) | Method is determined based on the volume of the flow of passengers above and below the bus station of IC card data and vehicle GPS information | |
CN111861022B (en) | Method for optimizing electric vehicle charging station site selection based on big data analysis | |
CN111415021A (en) | Charging pile optimal position recommendation management system and method based on intelligent vehicle-mounted terminal | |
CN108932561B (en) | Electric vehicle charging path selection method considering nonlinear charging function | |
CN105809962A (en) | Traffic trip mode splitting method based on mobile phone data | |
CN109729518B (en) | Mobile phone signaling-based urban traffic early peak congestion source identification method | |
CN107103506A (en) | The decision method of the heavy duty zone of public bicycles | |
CN105336155A (en) | Bus frequency increasing method and system | |
Li et al. | Estimating crowd flow and crowd density from cellular data for mass rapid transit | |
Taniguchi et al. | The compact city as a means of reducing reliance on the car: A model-based analysis for a sustainable urban layout | |
Li et al. | Public transportation mode detection from cellular data | |
CN108304470A (en) | A kind of city underground paths planning method based on ArcGIS | |
CN106960566A (en) | The preferential method for pushing of public bicycles | |
Ayuningtyas et al. | Network analysis of intercity bus terminal and inner-city toll road development–the case of Bandung City | |
CN107238433A (en) | Road conditions recognition methods and system based on public bicycles | |
CN107240271A (en) | Cycling behavioural norm method and system based on public bicycles | |
CN109447882A (en) | A kind of population exchange amount estimation method based on signaling data | |
CN107393300A (en) | Road conditions recognition methods and system based on public bicycles | |
CN107194470A (en) | The maintaining method of public bicycles | |
CN107253503A (en) | The alarm method and system of public bicycles | |
Chen et al. | The Efficiency Evaluation of Transit-oriented Development Focusing on an Integrated Multi-mode Public Transport System | |
CN107449701A (en) | Air quality monitoring method and system based on public bicycles | |
Bansal et al. | On using crowd for measuring traffic at aggregate level for emerging countries |
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 | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170829 |