CN112001542A - Bus segmented calculation carbon emission reduction assessment method based on relative comparison principle - Google Patents
Bus segmented calculation carbon emission reduction assessment method based on relative comparison principle Download PDFInfo
- Publication number
- CN112001542A CN112001542A CN202010854144.9A CN202010854144A CN112001542A CN 112001542 A CN112001542 A CN 112001542A CN 202010854144 A CN202010854144 A CN 202010854144A CN 112001542 A CN112001542 A CN 112001542A
- Authority
- CN
- China
- Prior art keywords
- bus
- user
- carbon emission
- emission reduction
- mobile terminal
- 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
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 title claims abstract description 55
- 229910052799 carbon Inorganic materials 0.000 title claims abstract description 55
- 230000009467 reduction Effects 0.000 title claims abstract description 32
- 238000000034 method Methods 0.000 title claims abstract description 26
- 238000004364 calculation method Methods 0.000 title claims abstract description 10
- 230000008569 process Effects 0.000 claims abstract description 9
- 238000004891 communication Methods 0.000 claims abstract description 6
- 239000000446 fuel Substances 0.000 claims abstract description 3
- 238000011156 evaluation Methods 0.000 claims description 8
- 238000001514 detection method Methods 0.000 claims description 4
- 238000012937 correction Methods 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005265 energy consumption Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000010295 mobile communication Methods 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000008094 contradictory effect Effects 0.000 description 1
- 230000010485 coping Effects 0.000 description 1
- 230000001186 cumulative effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Images
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
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- 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
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/04—Payment circuits
- G06Q20/06—Private payment circuits, e.g. involving electronic currency used among participants of a common payment scheme
- G06Q20/065—Private payment circuits, e.g. involving electronic currency used among participants of a common payment scheme using e-cash
-
- 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
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
-
- 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
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
- G06Q30/0226—Incentive systems for frequent usage, e.g. frequent flyer miles programs or point systems
-
- G06Q50/40—
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/80—Management or planning
- Y02P90/84—Greenhouse gas [GHG] management systems
Abstract
A bus subsection calculation carbon emission reduction assessment method based on a relative comparison principle comprises the following steps: s1, the mobile terminal collects user data including the geographic position of a user and judges whether the user takes a bus or not according to a bus taking judgment condition; s2, after finding that the user takes the bus, continuously recording the geographic position of the user through the mobile terminal, establishing communication with a bus OBD system, and synchronously recording the bus position and oil consumption information acquired by the bus OBD system until the user meets the getting-off judgment condition; s3, acquiring and calculating data of a user in a bus taking process from getting on to getting off to obtain the fuel consumption of the bus taking mileage in the bus taking process; and S4, evaluating the carbon emission reduction of the user. The method calculates the carbon emission intensity reduced by the bus selected by the user by selecting the accumulated oil consumption of the unit mileage in the real-time OBD data, and can evaluate more accurately under the condition of traffic jam in the peak of work or normal running.
Description
Technical Field
The invention belongs to the technical field of environmental protection, relates to carbon emission reduction assessment, and particularly relates to a bus sectional calculation carbon emission reduction assessment method based on a relative comparison principle.
Background
The policy of China for coping with climate change and action 2019 annual report indicate that China has become the main international carbon emission resource providing country in the world at present.
The bus belongs to one of public transport means with obvious carbon emission slowing effect; many methods have been derived to track and encourage the reduction of personal carbon emissions, such as the information technology services company sources (Atos Origin) announcements that personal carbon emission intensity can be automatically captured and recorded by various means, such as credit cards, debit cards, and membership and fueling cards; the Nanchang subway aigrette APP combined industry partner jointly releases subway passenger carbon emission reduction service, each subway exit of citizens is brought into a personal carbon emission reduction account, and the passengers can freely borrow 5000 copies of original electronic books according to the personal carbon account points; nanjing purple cloud technology introduced activities of carbon credit virtual currency to real currency, and the like.
The methods encourage users to go out with low carbon to some extent, but unreasonable points exist in the specific algorithm process, for example, the personal carbon emission intensity is simply and roughly calculated by judging the times of using a credit card, the times of taking a bus or a subway, the travel, the time and other parameters of the users, the accuracy and the scientificity are lacked, the key point is that the personal carbon emission intensity is calculated by more accurate evaluation, and the reduced carbon emission intensity contributed by each person is quantitatively evaluated.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention discloses a bus sectional calculation carbon emission reduction assessment method based on a relative comparison principle.
The invention discloses a bus subsection calculation carbon emission reduction assessment method based on a relative comparison principle, which comprises the following steps:
s1, the mobile terminal collects user data including the geographic position of a user and judges whether the user takes a bus or not according to a bus taking judgment condition;
s2, after finding that the user takes the bus, continuously recording the geographical position of the user through the mobile terminal, establishing communication with a bus OBD system, and synchronously recording the bus position and oil consumption information acquired by the bus OBD system; until the user meets the getting-off judgment condition;
s3, acquiring and calculating data of a user in a bus taking process from getting on to getting off to obtain the fuel consumption of the bus taking mileage in the bus taking process;
and S4, evaluating the carbon emission reduction of the user.
Preferably: and the bus taking judgment condition is that the mobile terminal is found to carry out code scanning bus taking on the bus.
Preferably: the getting-off judgment condition is that after taking a bus, the distance between the user and the geographic position of the bus is found to exceed a threshold value.
Preferably: geographical location distance of user and bus
Wherein difference of longitude distance
Difference of latitude
(xi,yi) The actual longitude and latitude coordinate position of the ith trip of the vehicle is obtained; (x)i',yi') And the actual longitude and latitude coordinate position of the ith trip of the user.
Preferably: in step S4, the specific manner of carbon emission reduction assessment by the user taking the bus each time is as follows:
total stroke CO2Comprehensive emission relative intensity:
average of hundred kilometers of CO per kilometer2Intensity of discharge
FnThe accumulated oil consumption of the bus ending at the nth kilometer; f. ofnAnd a, b and c are correction parameters of buses with different energy types.
Preferably: in step S4, when the user takes the bus for a distance greater than the basic distance, the specific carbon emission reduction assessment mode for the ith trip is
CniAverage units per hundred kilometers of reference cars CO2The discharge intensity; cni' average unit CO per hundred kilometers of bus taken by user2The discharge intensity; num is the estimated number of passengers on the bus; length is the mileage.
Specifically, in step S2, the specific manner of establishing communication with the bus OBD system and acquiring information is as follows:
the method comprises the following steps: the user scans the bus two-dimensional code through the mobile terminal and simultaneously sends an access request to the server
Step two: the server end finishes receiving the request and sends an instruction to order the mobile terminal to be mutually connected with the bus;
step three: after receiving the instruction, the mobile terminal turns on Wi-Fi or Bluetooth;
step four: the server sends wireless network matching information of the other party to the mobile terminal and the bus;
step five: the mobile terminal is connected with the bus, and the bus OBD detection data system is obtained.
The method calculates the carbon emission intensity reduced by the user when the user selects the bus and takes the private car by selecting the accumulated oil consumption of the unit mileage in the real-time OBD data, and can calculate more accurately under the condition of traffic jam in the rush hour or normal running; and (3) a basic point and reward point superposition mode is implemented, the carbon emission intensity of the cars under the same condition is compared, the emission reduction contribution made by the user is quantitatively evaluated by utilizing the carbon emission intensity reduced by the bus, and guidance in a point encouraging mode is carried out on the user taking the bus.
Drawings
FIG. 1 is a diagram of an exemplary hardware system upon which the present invention may be implemented;
FIG. 2 is a schematic diagram of an embodiment of the present invention;
fig. 3 is a schematic overall flow chart of an embodiment of the present invention.
Detailed Description
The following provides a more detailed description of the present invention.
The invention discloses a bus subsection calculation carbon emission reduction assessment method based on a relative comparison principle, which comprises the following steps:
s1, the mobile terminal collects user data including the geographical position of the user, and judges whether the user takes the bus or not according to the bus taking judgment condition;
s2, after finding that the user takes the bus, continuously recording the geographical position of the user, and synchronously recording the bus movement and oil consumption information acquired by the bus OBD system; until the user meets the get-off judgment condition.
Mobile terminal-bus-server data transmission flow
The bus provided with the OBD real-time monitoring system is a networked bus, and when the bus is started in operation, the self-contained Wi-Fi or Bluetooth automatic connection server cloud end can be opened.
The bus OBD system data can be obtained through the following steps
The method comprises the following steps: the user scans the bus two-dimensional code through the mobile terminal and simultaneously sends an access request to the server
Step two: the server end finishes receiving the request and sends an instruction to order the mobile terminal to be mutually connected with the bus;
step three: after receiving the instruction, the mobile terminal turns on Wi-Fi or Bluetooth;
step four: the server sends wireless network matching information of the other party to the mobile terminal and the bus;
step five: the mobile terminal is connected with the bus, and the bus OBD detection data system is obtained.
The taking judgment condition is generally that a distance set according to the positioning accuracy is continuously smaller than a certain distance within a certain time in a moving state according to the geographic position between the user and the bus, for example, if the spatial distance between the user and the bus is continuously smaller than 10 meters within a time length of 20 seconds, the user is considered to be on the bus. The getting-off judgment condition is that the user is considered to have got off when the space distance between the user and the bus is larger than a certain distance, for example, 50 meters.
S3, collecting and calculating data of the user in the process from getting on to getting off to obtain the riding mileage, wherein the specific mode is as follows:
and (3) a travel data set of the ith trip of the user:
B＝{loc[(xi,yi),(xi',yi')],(Fni,fni)}，
wherein i belongs to {1,2, 3.., N }; loc [ (x)i,yi),(xi',yi')]In (x)i,yi) The actual longitude and latitude coordinate position of the ith trip of the vehicle is obtained; (x)i',yi') The actual longitude and latitude coordinate position of the ith trip of the user is obtained; (F)ni,fni) Middle FnThe accumulated oil consumption (L/Kg), f within the nth unit travel of the ith trip of the user is endednThe cumulative oil consumption (L/Kg) starting in the nth unit journey in the ith trip of the user is obtained; the unit journey is a journey within a certain distance, for example, 1 kilometer is defined as the unit journey.
The difference in longitude distance is calculated according to:
and difference in latitude distance:
thereby obtaining the man-vehicle distance at any time:
judging whether the user meets the getting-off judgment condition or not according to the distance between the person and the vehicle;
when a user gets off the bus, estimating the carbon emission reduction amount according to the oil consumption read from the bus OBD system between the getting-on time point and the getting-off time point of the user;
estimating carbon emission reduction according to the driving mileage, specifically:
average of hundred kilometers of CO per kilometer2Emission intensity:
Fnthe accumulated oil consumption (L/Kg) of the bus ending at the nth kilometer;
fnthe method is characterized in that the accumulated oil consumption (L/Kg) of a car at the end of the nth kilometer is provided, a, b and c are correction parameters of buses with different energy types, and a specific reference value is as follows:
CO of the total stroke can be obtained2Comprehensive emission relative intensity:
the method can encourage users to take buses for many times and establish a segmented carbon integration model through the following calculation mode.
When the travel distance is less than the base distance, in order to encourage the user to pick up public transport, within the same mileage, the evaluation value of the carbon emission reduction intensity by taking the bus is equal to the carbon emission intensity of the car within the same mileage, which is called the base carbon integral, and the carbon emission reduction intensity is converted into the carbon emission reduction intensity of the user, so as to stimulate the user, for example, assuming that the base distance is 3 km.
Selecting the ith carbon integral of the bus trip:
calculating the formula:
when the trip distance is greater than the basic distance, in the same mileage, the absolute value of the difference between the carbon emission intensity of the bus and the carbon emission intensity of the car in the same mileage is converted into the estimated value of the carbon emission intensity reduced by the user, and the calculation formula is as follows:
selecting the total carbon integral of the bus for one trip:
Wbi＝WBCi+WREi
in the formula WbiSelecting the total score obtained at the ith bus trip time for the user; wBCiTo useThe base points obtained by the user; wREiThe bonus points earned for the user.
And calculating a basic integral within 3 kilometers, starting from the fourth kilometer, a more real reward integral, and a total carbon integral for selecting the bus to travel for i times:
a typical hardware system on which the present invention is implemented is shown in fig. 1, and mainly includes: positioner, OBD detecting system, mobile terminal, positioner usually installs on mobile terminal, and specific basic requirement is as follows:
positioning devices such as GPS locators: the terminal with built-in GPS module and mobile communication module is used to transmit the positioning data obtained by GPS module to a server on Internet through mobile communication module (gsm/gprs network), so as to realize the inquiry of terminal position on computer or mobile phone.
Basic configuration requirements of an OBD detection system on a bus are as follows:
standardized data diagnostic interfaces such as SAE-J1962;
standardized decoders such as SAE-J1978;
standardized electronic communication protocols, e.g. Kw2000, CAN, CLASSII, ISO9141, etc
Standardized diagnostic trouble codes such as DTC, SAE-J2012;
standardized repair services intelligence such as SAE-J2000;
the basic requirements of the mobile terminal configuration hardware are as follows:
the mobile terminal can reserve enough space in the nonvolatile memory for implanting DM client software, and the reserved space can store information.
The terminal should reserve enough RAM space for the operation of the implanted DM client software. The space size is generally not less than 500K
The terminal device should support OMA, version dm1.1.2 and need to support OMA DL1.0, OMA FUM01.0, etc.
The invention calculates the carbon emission intensity reduced by the user when selecting the bus to take the bus compared with the private bus by selecting the accumulated oil consumption of the unit mileage in the real-time OBD data, can calculate more accurately under the condition of traffic jam in the rush hour or normal driving, implements a basic point and reward point superposition mode, quantitatively evaluates the emission reduction contribution made by the user by comparing the carbon emission intensity of the cars under the same condition and utilizing the reduced carbon emission intensity of the buses, and guides the user in the form of encouraging points when taking the buses.
The foregoing is a description of preferred embodiments of the present invention, and the preferred embodiments in the preferred embodiments may be combined and combined in any combination, if not obviously contradictory or prerequisite to a certain preferred embodiment, and the specific parameters in the examples and the embodiments are only for the purpose of clearly illustrating the inventor's invention verification process and are not intended to limit the patent protection scope of the present invention, which is defined by the claims and the equivalent structural changes made by the content of the description of the present invention are also included in the protection scope of the present invention.
Claims (7)
1. A bus subsection calculation carbon emission reduction assessment method based on a relative comparison principle is characterized by comprising the following steps:
s1, the mobile terminal collects user data including the geographic position of a user and judges whether the user takes a bus or not according to a bus taking judgment condition;
s2, after finding that the user takes the bus, continuously recording the geographical position of the user through the mobile terminal, establishing communication with a bus OBD system, and synchronously recording the bus position and oil consumption information acquired by the bus OBD system; until the user meets the getting-off judgment condition;
s3, acquiring and calculating data of a user in a bus taking process from getting on to getting off to obtain the fuel consumption of the bus taking mileage in the bus taking process;
and S4, evaluating the carbon emission reduction of the user.
2. The carbon emission reduction evaluation method according to claim 1, characterized in that: and the bus taking judgment condition is that the mobile terminal is found to carry out code scanning bus taking on the bus.
3. The carbon emission reduction evaluation method according to claim 1, characterized in that: the getting-off judgment condition is that after taking a bus, the distance between the user and the geographic position of the bus is found to exceed a threshold value.
4. The carbon emission reduction evaluation method according to claim 3, characterized in that: geographical location distance of user and bus
Wherein difference of longitude distance
Difference of latitude
(xi,yi) The actual longitude and latitude coordinate position of the ith trip of the vehicle is obtained; (x)i',yi') And the actual longitude and latitude coordinate position of the ith trip of the user.
5. The carbon emission reduction evaluation method according to claim 1, characterized in that: in step S4, the specific manner of carbon emission reduction assessment by the user taking the bus each time is as follows:
total stroke CO2Comprehensive emission relative intensity:
average of hundred kilometers per kilometer CO2Intensity of discharge
FnThe accumulated oil consumption of the bus ending at the nth kilometer; f. ofnAnd a, b and c are correction parameters of buses with different energy types.
6. The carbon emission reduction evaluation method according to claim 1, characterized in that: in step S4, when the user takes the bus for a distance greater than the basic distance, the specific carbon emission reduction assessment mode for the ith trip is
CniAverage units per hundred kilometers of reference cars CO2The discharge intensity; cni' average unit CO per hundred kilometers of bus taken by user2The discharge intensity; num is the estimated number of passengers on the bus; length is the mileage.
7. The carbon emission reduction evaluation method according to claim 1, characterized in that: in step S2, the specific manner of establishing communication with the bus OBD system and acquiring information is as follows:
the method comprises the following steps: the user scans the bus two-dimensional code through the mobile terminal and simultaneously sends an access request to the server
Step two: the server end finishes receiving the request and sends an instruction to order the mobile terminal to be mutually connected with the bus;
step three: after receiving the instruction, the mobile terminal turns on Wi-Fi or Bluetooth;
step four: the server sends wireless network matching information of the other party to the mobile terminal and the bus;
step five: the mobile terminal is connected with the bus, and the bus OBD detection data system is obtained.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010854144.9A CN112001542A (en) | 2020-08-21 | 2020-08-21 | Bus segmented calculation carbon emission reduction assessment method based on relative comparison principle |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010854144.9A CN112001542A (en) | 2020-08-21 | 2020-08-21 | Bus segmented calculation carbon emission reduction assessment method based on relative comparison principle |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112001542A true CN112001542A (en) | 2020-11-27 |
Family
ID=73473107
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010854144.9A Pending CN112001542A (en) | 2020-08-21 | 2020-08-21 | Bus segmented calculation carbon emission reduction assessment method based on relative comparison principle |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112001542A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20110071734A (en) * | 2009-12-21 | 2011-06-29 | 성균관대학교산학협력단 | System and method for calculating carbon emission reduction using traffic card usage information |
| CN108551651A (en) * | 2018-04-08 | 2018-09-18 | 深圳卡通新技术有限公司 | Bus block meter rate method based on mobile terminal |
| KR20190143247A (en) * | 2018-06-20 | 2019-12-30 | 박지우 | System of authenticating certificated emissions reduction according to the use of public transportation |
| KR20200023889A (en) * | 2018-08-27 | 2020-03-06 | 박지우 | Certified emission reductions authentication system using wearable smart device |
-
2020
- 2020-08-21 CN CN202010854144.9A patent/CN112001542A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20110071734A (en) * | 2009-12-21 | 2011-06-29 | 성균관대학교산학협력단 | System and method for calculating carbon emission reduction using traffic card usage information |
| CN108551651A (en) * | 2018-04-08 | 2018-09-18 | 深圳卡通新技术有限公司 | Bus block meter rate method based on mobile terminal |
| KR20190143247A (en) * | 2018-06-20 | 2019-12-30 | 박지우 | System of authenticating certificated emissions reduction according to the use of public transportation |
| KR20200023889A (en) * | 2018-08-27 | 2020-03-06 | 박지우 | Certified emission reductions authentication system using wearable smart device |
Non-Patent Citations (1)
| Title |
|---|
| 封学军等, 机械工业出版社 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10719996B2 (en) | Determining vehicle occupancy using sensors | |
| US20210407015A1 (en) | Methods of determining accident cause and/or fault using telematics data | |
| US20220084129A1 (en) | Recording and reporting of driving characteristics using wireless mobile device | |
| CN103886741B (en) | A kind of public transportation management system based on Intelligent bus card and method | |
| US10580085B1 (en) | Detecting transportation company trips in a vehicle based upon on-board audio signals | |
| US9367967B2 (en) | Systems and methods for odometer monitoring | |
| US20140129132A1 (en) | Recommendation information provision system | |
| US11676425B2 (en) | System and method for speech recognition for occupancy detection in high occupancy toll applications | |
| CN103985256A (en) | Vehicle identification data processing method, device and system | |
| CN110969861B (en) | Vehicle identification method, device, equipment and computer storage medium | |
| CN109145982A (en) | The personal identification method and device of driver, storage medium, terminal | |
| EP2658291A1 (en) | Method for automated detection of the location of a person | |
| CN107154165A (en) | Bus driving information inquiry system | |
| CN108389392A (en) | A kind of traffic accident responsibility identification system based on machine learning | |
| KR101731786B1 (en) | IoT-BASED IMPLICIT CONTROL SYSTEM OF VEHICLE MANAGEMENT CORRESPONDING TO REAL-TIME SENSING OF EXHAUST EMISSION | |
| CN111078973B (en) | Fake-licensed car identification method, equipment and storage medium based on big data | |
| Mishalani et al. | Use of mobile device wireless signals to determine transit route-level passenger origin–destination flows: Methodology and empirical evaluation | |
| CN110334858A (en) | A kind of bus remaining seat intelligent Forecasting and device | |
| CN115083161B (en) | Vehicle stay point evaluation method and device, electronic equipment and readable storage medium | |
| CN114501336A (en) | Road traffic volume measuring and calculating method and device, electronic equipment and storage medium | |
| CN112001542A (en) | Bus segmented calculation carbon emission reduction assessment method based on relative comparison principle | |
| Bagheri et al. | A computational framework for revealing competitive travel times with low-carbon modes based on smartphone data collection | |
| Corpuz et al. | The development of a Sydney VKT regression model | |
| CN111882353A (en) | Bus segmented carbon integration calculation method based on relative comparison principle | |
| CN111417088B (en) | Identity attribute authentication method for Internet of vehicles data |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20201127 |
|
| WD01 | Invention patent application deemed withdrawn after publication |