CN113888857A - Public transportation management system, device and method based on Internet of vehicles - Google Patents
Public transportation management system, device and method based on Internet of vehicles Download PDFInfo
- Publication number
- CN113888857A CN113888857A CN202111179552.XA CN202111179552A CN113888857A CN 113888857 A CN113888857 A CN 113888857A CN 202111179552 A CN202111179552 A CN 202111179552A CN 113888857 A CN113888857 A CN 113888857A
- Authority
- CN
- China
- Prior art keywords
- time
- bus
- acquiring
- station
- internet
- 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
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/20—Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
- G08G1/202—Dispatching vehicles on the basis of a location, e.g. taxi dispatching
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
- G07B15/00—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
- G07B15/02—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points taking into account a variable factor such as distance or time, e.g. for passenger transport, parking systems or car rental systems
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Finance (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention provides a public transport management system, a device and a method based on Internet of vehicles, wherein the method comprises the following steps: acquiring a target route of a bus and a stop list along a driving direction on the target route; acquiring the traffic condition of the current target route according to the target route, and determining the congestion index of the target route according to the acquired current traffic condition; acquiring the current position corresponding to the bus number by combining with base station positioning according to the congestion index, determining the distance between at least one two adjacent buses, and calculating the predicted time difference; counting historical data of a user terminal, and setting initial departure time according to the historical riding time period of passengers; the method comprises the steps of collecting the getting-on time collecting modules of all stations and the latest getting-off time of the same line, counting and calculating the optimal departure time of a time period, and correcting the initial departure time.
Description
Technical Field
The application relates to the technical field of Internet of vehicles, in particular to a public transportation management system, a device and a method based on the Internet of vehicles.
Background
Along with the development of cities, traveling by public transport means is advocated vigorously, and data analysis on traffic traveling data is very important for meeting the requirements of users and scientifically planning public transport networks.
The existing bus management system can acquire the position information and the predicted arrival time of the current bus, but cannot control the departure time of the bus. The existing buses prescribe the departure of the bus at the prescribed time. When a vehicle breaks down, the next bus can wait for the next specified departure time, the waiting time is too long, and people are easily influenced to go out. The reason that the departure interval is not fixed occasionally is because traffic jam or bad weather cause, the dynamic change of the number of passengers in a time period is not considered in the fixed setting of the bus departure interval time, such as the early peak time period and the late peak time period, the number of passengers is more, the bus departure interval time adopting the fixed setting is used for departure, the number of users in the early peak time period and the late peak time period can not be met, for example, a certain time period except the early peak time period and the late peak time period, the number of passengers is very small, the bus departure interval time adopting the fixed setting is used for departure, the waste of bus shift resources can be caused, and the bus financial resources and the labor cost are increased.
Disclosure of Invention
In order to solve the technical problems, the application provides a public transport management system, a device and a method based on the internet of vehicles, which solve the problem that the bus departure time cannot be flexibly changed, and reasonably adjust the departure time.
In order to solve the technical problem, the application provides a public transport management device based on car networking, sets up in user terminal, includes:
the inquiry request receiving module is used for receiving an inquiry request and obtaining the bus number and the concerned station appointed by the request;
the estimated boarding time acquisition module is used for acquiring the estimated boarding time of passengers;
the latest arrival time acquisition module acquires and acquires the time of the passenger arriving at another station at the latest;
the boarding station acquisition module is used for acquiring the time and the station of card swiping;
and the historical data acquisition module is used for acquiring data of the getting-on station acquisition module in a past period of time.
Further, the query request receiving module includes: an attention site obtaining unit, configured to obtain an attention site input by a user; and the bus number obtaining unit is used for obtaining a station list passing along the driving direction on the target line.
The invention also provides a public traffic management device based on the internet of vehicles, which is arranged at the server side and comprises:
the vehicle positioning acquisition module is used for positioning the vehicle and acquiring the information position of the vehicle;
the acquisition station request data module is used for acquiring the times of the current inquiry request receiving modules of all stations;
and the departure instruction module is used for outputting at least one vehicle operation instruction.
Further, the module for acquiring the station request data includes:
an attention site obtaining unit for obtaining the number of sites concerned;
and the bus number obtaining and card swiping unit is used for obtaining the number of bus number card swiping so as to obtain the bus amount.
The invention also provides a public transport management system based on the Internet of vehicles, which comprises:
a user terminal for monitoring the vehicle operation data of at least one vehicle;
the vehicle-mounted terminal is mounted on the at least one vehicle;
and the server is communicated with the user terminal and the vehicle-mounted terminal respectively, and acquires data of each bus stop through the user terminal so as to output a vehicle running instruction.
The invention also provides a public transport management method based on the Internet of vehicles, which comprises the following steps:
acquiring a target route of a bus and a stop list along a driving direction on the target route;
according to a target route, the traffic condition of the current target route is obtained, and the congestion index of the target route is determined according to the obtained current traffic condition.
And according to the congestion index, the current position corresponding to the bus number is obtained by combining with the positioning of the base station, the distance between at least one two adjacent buses is determined, and the predicted time difference is calculated.
Further, after determining the current position of the target bus through base station positioning, the method further comprises the following steps:
obtaining position correction data, and correcting the current position by using the position correction data; and using the corrected current position for the subsequent step.
Further, the congestion index determination method comprises the steps of obtaining the average running speed of a target bus, determining the distance between two adjacent buses and the average running speed, and calculating the time difference between the two adjacent buses.
Further, the congestion index judgment further comprises preset parameters, and a current speed reference value is obtained according to the preset parameters; the speed parameters include: one or more of a weather parameter, a rush hour parameter, and a traffic control parameter;
determining historical driving speed and historical congestion index corresponding to the obtained speed parameter value;
according to the deviation of the current congestion index of the running path relative to the historical congestion index, correcting the historical running speed to obtain the average running speed of the target bus;
and obtaining the estimated arrival time of the target bus according to the quotient of the travel path length and the average travel speed.
Furthermore, the current position corresponding to the bus number is obtained through base station positioning according to the congestion index, the distance between at least one two adjacent buses is determined according to the bus number, and after the predicted time difference is calculated, the historical card swiping stop and data of the target bus are obtained, and the interval time of the initial bus at the end point is prolonged or shortened.
As described above, according to the public transportation management system, the public transportation management device and the public transportation management method based on the internet of vehicles, the congestion index is obtained according to the current traffic condition of the target route, the base station positioning is assisted, the distance between two adjacent buses of the target road section is calculated by collecting, and the predicted time difference is calculated, so that the departure time of the buses is adjusted, the bus operation efficiency is improved, and the experience of taking the buses in the working time period of a user is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application. In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is a schematic flow chart of a public transportation management method based on Internet of vehicles according to an embodiment of the invention;
FIG. 2 is a schematic structural diagram of a public transportation management device based on Internet of vehicles according to an embodiment of the invention;
FIG. 3 is another schematic structural diagram of a public transportation management device based on Internet of vehicles according to an embodiment of the invention;
fig. 4 is a schematic structural diagram of a public transportation management system based on the internet of vehicles according to the embodiment of the invention.
The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings. With the above figures, there are shown specific embodiments of the present application, which will be described in more detail below. These drawings and written description are not intended to limit the scope of the inventive concepts in any manner, but rather to illustrate the inventive concepts to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the recitation of an element by the phrase "comprising an … …" does not exclude the presence of additional like elements in the process, method, article, or apparatus that comprises the element, and further, where similarly-named elements, features, or elements in different embodiments of the disclosure may have the same meaning, or may have different meanings, that particular meaning should be determined by their interpretation in the embodiment or further by context with the embodiment.
As shown in fig. 2, the present invention provides a public transportation management device based on internet of vehicles, which is arranged at a user terminal, and comprises:
a user terminal query request receiving module 110, configured to receive a query request and obtain a bus number and a station of interest specified by the request; the designated bus number and the attention station can be acquired in various ways, and corresponding acquisition ways are adopted according to the unnecessary inquiry ways of the users.
Specifically, the query request receiving module includes 110: an attention site obtaining unit 111 for obtaining an attention site input by a user; the bus number obtaining unit 112 is configured to obtain a list of stations passing along the driving direction on the target route.
Illustratively, a bus number to be inquired, such as '1 way', is input on the page of the APP, attention is obtained from the list of the 1 way buses, and the driving route and the current bus running position of the 1 way buses are inquired, wherein the mode is to obtain the bus number and the attention stop through the input mode of the user.
And the boarding station acquisition module 120 is used for acquiring the card swiping time and station data, storing the time and the station data in a server and forming big data. After a user takes a bus, the time of current card swiping and the current stop of the bus can be acquired and stored in the server after the fare is paid through the two-dimensional code of payment on the APP interface of the user terminal.
In the embodiment, the user can inquire the predicted bus arrival time at the user terminal and predict the departure time; it can be understood that the provided query page can be implemented based on a C/S (client/server) architecture, for example, a user can query through a page in a dedicated query APP, or query through a page such as a public number of a social APP; but also based on the B/S (browser/server) architecture.
And the historical data acquisition module 130 is used for acquiring data of the boarding station acquisition module 120 in a period of time in the past of the user, and storing the data in the server to form big data. The user can inquire the stop stopping time and the card swiping time for getting on the bus within a period of time at the user terminal.
The estimated boarding time acquisition module 140 is used for acquiring the estimated boarding time of passengers, storing the estimated boarding time and forming big data with the server; the user can set the expected boarding time of the concerned station through the user terminal at any place.
The latest arrival time acquisition module acquires and acquires the time of the passenger arriving at another station at the latest; the user can set the latest arrival time of the concerned station through the user terminal at any place.
The user terminal may be an electronic device, such as a mobile phone, a tablet computer, a Personal Computer (PC), a Personal Digital Assistant (PDA), a smart watch, a netbook, a wearable electronic device, an Augmented Reality (AR) device, a Virtual Reality (VR) device, a vehicle-mounted device, a smart car, a smart sound, a robot, a bus stop board, and the like, and the specific form of the user terminal is not particularly limited in this application.
Referring to fig. 3, the present invention provides a public transportation management device based on internet of vehicles, which is disposed at a server side and includes:
the vehicle positioning acquiring module 210 is configured to position a vehicle and acquire an information position of a target vehicle; preferably, the vehicle positioning module 210 uses a GPS, and uses a GPS positioning method to obtain a real-time position of the bus, so as to predict the predicted arrival time of the bus at a certain station, and the GPS positioning is used as a positioning method with higher accuracy, so that the accuracy of the prediction result of the predicted arrival time is higher in the scheme, and the user can query the prediction result through other more convenient channels, rather than having to go to the bus station to view the prediction result.
The user terminal data obtaining module 220 is used for obtaining the predicted boarding time, the latest arrival time and the card swiping time of a past period of time of each current station; the module 220 for obtaining user terminal data reserves and counts the data when the user obtains the estimated boarding time, the latest arrival time and the past card swiping time of each station through the user terminal, uploads the data to the server, and finally is obtained by the module 220 for user terminal data.
The departure instruction module 230 is configured to output at least one vehicle operation instruction. At least one vehicle in the target route acquires a departure instruction, and the vehicle acquiring the departure instruction can be a target vehicle waiting for departure or a target vehicle in a reverse return trip; the departure instruction may be the current departure time or any time after the current departure time.
Specifically, the module 220 for acquiring the user terminal data includes:
the estimated getting-on time acquisition module is used for acquiring the getting-on time of any bus number of any stop; so as to obtain the riding quantity in a certain time period, and check whether the departure time needs to be adjusted according to the riding quantity.
And the acquisition module for arriving at a certain station at the latest is used for acquiring the latest time for arriving at a certain station at the latest from any station so as to acquire the riding amount in a certain period of time.
The invention provides a public transport management system based on Internet of vehicles, comprising:
a user terminal 310 for monitoring vehicle operation data of at least one vehicle; the terminal of the user may be a user terminal such as a mobile phone and a tablet computer, or a terminal such as a desktop computer, and the description does not limit the terminal as long as the query function can be implemented.
The vehicle-mounted terminal 320 is installed on at least one target vehicle, and is used for monitoring data of the current target vehicle.
The server 330 establishes communication with the user terminal 310 and the vehicle-mounted terminal 320, respectively, and acquires data of each bus stop through the user terminal 310 to output a vehicle operation instruction.
Referring to fig. 1, the present invention further provides a public transportation management method based on the internet of vehicles, which includes:
s101: acquiring a target route of a bus and a stop list along a driving direction on the target route;
s103: and acquiring the traffic condition of the current target route according to the target route, and determining the congestion index of the target route according to the acquired current traffic condition. Specifically, the congestion index determination method comprises the steps of obtaining the average running speed of a target bus, determining the distance between two adjacent buses and the average running speed, and calculating the time difference between the two adjacent buses.
Specifically, the congestion index judgment further comprises preset parameters, and a current speed reference value is obtained according to the preset parameters; the speed parameters include: one or more of weather parameters, rush hour parameters, and traffic control parameters. That is, in this embodiment, the reference traveling speed is not directly determined according to the congestion index, but the current weather parameter, rush hour parameter, traffic control parameter and other parameters are combined to determine the historical traveling speed in the same period, and the historical traveling speed is corrected according to the deviation between the historical congestion index and the current congestion index, so as to obtain a more accurate arrival time prediction result. Determining historical driving speed and historical congestion index corresponding to the obtained speed parameter value; and correcting the historical running speed according to the deviation of the current congestion index of the running path relative to the historical congestion index to obtain the average running speed of the target bus.
In one example, the number of vehicles of each type, the driving speed, the traffic lights and other command conditions in the current driving path, and the like can be directly acquired or acquired through other systems (such as a traffic system, other traffic or map application systems), so that the congestion degree of the driving path is determined according to the current traffic conditions, and the corresponding congestion index is determined.
In another example, the map application system may be associated in advance, and the current traffic condition of the travel path represented by the congestion degree in the system is obtained, for example, green is usually used to represent clear, red is used to represent congestion, deep red is used to represent very congestion, and the like, and the congestion index corresponding to each congestion color is preset, such as green corresponds to 0, red corresponds to 1, deep red corresponds to 10, and the like, so that the current traffic condition is obtained directly through the associated map application system and the corresponding congestion index is determined.
S105: and according to the congestion index, the current position corresponding to the bus number is obtained by combining with the positioning of the base station, the distance between at least one two adjacent buses is determined, and the predicted time difference is calculated.
S107: and (3) counting historical data of the user terminal 310, setting initial departure time according to the historical riding time period of passengers and the time peak value, and transmitting and displaying the initial departure time at the user terminal 310. The initial departure time is not constant and is adjusted according to historical data of the statistical user terminal 310 over a period of time.
S109: the method comprises the steps of collecting the getting-on time collecting modules of all stations and the latest getting-off time of the same line, counting and calculating the optimal departure time of a time period, correcting the initial departure time, and transmitting the corrected data to the user terminal 310.
The location of the base station may be obtained by the operator's radio communication network (e.g., GSM network, CDMA network), etc., to obtain location information of the user of the radio communication network. The radio communication network user referred to in the present invention refers to a device capable of performing communication through a radio communication network, for example, the device may be a device equipped in a bus and dedicated for positioning a base station, or other devices equipped in a bus and having a base station positioning module (such as a card swiping machine, etc.), even because the bus and a driver are usually in a one-to-one correspondence relationship, the device may also be a terminal device registered in a bus system, such as a mobile phone of the driver of the bus, and the present specification is not limited specifically.
The base station positioning may be specifically implemented in various specific ways, for example, the prior art includes: determining a Cell transmission user based on a Cell ID (Cell identification code), and converting the Cell transmission user into longitude and latitude information so as to determine a position; positioning is performed based on the incident angles of the signals of the two base stations, such as AOA (Angle of arrival); performing high-precision positioning based on the propagation times of electric waves of three or more base stations, such as TOA (Time of arrival), TDOA (Time Difference of arrival); and the like, the specific implementation manner of the base station positioning is not limited in the embodiments of the present specification, and those skilled in the art may flexibly adopt one or more suitable manners according to actual needs by referring to relevant data.
Specifically, after determining the current position of the target bus through base station positioning, the method further includes: obtaining position correction data, and correcting the current position by using the position correction data; and using the corrected current position for the subsequent step. Specifically, in this embodiment, the current position corresponding to the bus label is obtained through the base station positioning, and the current position can be replaced with the correction data, so as to correct the error position. In some embodiments, the correction data may be obtained by other positioning devices, such as GPS positioning of the user's mobile communications segment, with greater accuracy and without the need for increased cost.
And obtaining the estimated arrival time of the target bus according to the quotient of the travel path length and the average travel speed. When the waiting time is too long, the traveling of passengers is easily influenced, the waiting time is too short, the possible seating rate of the buses is low, and the departure time of the buses is adjusted by acquiring the distance between two adjacent buses in the target road section and calculating the predicted time difference. If the calculated departure result is 8 o 'clock, the "time of departure of the last vehicle is 8 o' clock" may be displayed on the user terminal 310 for the user to plan the travel time.
Specifically, according to the congestion index, the current position corresponding to the bus number is obtained by assisting the base station in positioning, the distance between at least one two adjacent buses is determined according to the bus number, and after the predicted time difference is calculated, the historical card swiping station and data of the target bus are obtained, so that the interval time of the initial bus at the end point is prolonged or shortened. It is worth mentioning that the congestion index can be flexibly set by those skilled in the art according to the actual situation.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. A typical implementation device is a computer, which may take the form of a personal computer, laptop computer, cellular telephone, camera phone, smart phone, personal digital assistant, media player, navigation device, email messaging device, game console, tablet computer, wearable device, or a combination of any of these devices.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
In the present application, the same or similar term concepts, technical solutions and/or application scenario descriptions will be generally described only in detail at the first occurrence, and when the description is repeated later, the detailed description will not be repeated in general for brevity, and when understanding the technical solutions and the like of the present application, reference may be made to the related detailed description before the description for the same or similar term concepts, technical solutions and/or application scenario descriptions and the like which are not described in detail later.
In the present application, each embodiment is described with emphasis, and reference may be made to the description of other embodiments for parts that are not described or illustrated in any embodiment.
The technical features of the technical solution of the present application may be arbitrarily combined, and for brevity of description, all possible combinations of the technical features in the embodiments are not described, however, as long as there is no contradiction between the combinations of the technical features, the scope of the present application should be considered as being described in the present application.
The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application, or which are directly or indirectly applied to other related technical fields, are included in the scope of the present application.
Claims (10)
1. The utility model provides a public transport management device based on car networking, sets up in user terminal which characterized in that includes:
the inquiry request receiving module is used for receiving an inquiry request and obtaining the bus number and the concerned station appointed by the request;
the estimated boarding time acquisition module is used for acquiring the estimated boarding time of passengers;
the latest arrival time acquisition module acquires and acquires the time of the passenger arriving at another station at the latest;
the boarding station acquisition module is used for acquiring the time and the station of card swiping;
and the historical data acquisition module is used for acquiring data of the getting-on station acquisition module in a past period of time.
2. The internet-of-vehicles-based public transportation management apparatus of claim 1, wherein the inquiry request receiving module comprises: an attention site obtaining unit, configured to obtain an attention site input by a user; and the bus number obtaining unit is used for obtaining a station list passing along the driving direction on the target line.
3. The utility model provides a public transport management device based on car networking sets up in the server side, its characterized in that includes:
the vehicle positioning acquisition module is used for positioning the vehicle and acquiring the information position of the vehicle;
the system comprises a user terminal data acquisition module, a card swiping module and a card reading module, wherein the user terminal data acquisition module is used for acquiring the predicted boarding time, the latest arrival time and the card swiping time of a past period of time of each current station;
and the departure instruction module is used for outputting at least one vehicle operation instruction.
4. The internet-of-vehicles-based public transportation management device according to claim 3, wherein the means for acquiring user terminal data comprises:
the estimated getting-on time acquisition module is used for acquiring the getting-on time of any bus number of any stop;
and the acquisition module for arriving at a certain station at the latest is used for acquiring the latest time for arriving at a certain station at the latest.
5. A public transportation management system based on Internet of vehicles is characterized by comprising:
the user terminal is used for monitoring vehicle operation data of at least one vehicle;
the vehicle-mounted terminal is mounted on the at least one vehicle;
and the server is communicated with the user terminal and the vehicle-mounted terminal respectively, and acquires data of each bus stop through the user terminal so as to output a vehicle running instruction.
6. A public transportation management method based on internet of vehicles, the method comprising:
acquiring a target route of a bus and a stop list along a driving direction on the target route;
according to a target route, the traffic condition of the current target route is obtained, and the congestion index of the target route is determined according to the obtained current traffic condition.
Acquiring the current position corresponding to the bus number by combining with base station positioning according to the congestion index, determining the distance between at least one two adjacent buses, and calculating the predicted time difference;
counting historical data of a user terminal, and setting initial departure time according to the historical riding time period of passengers;
the method comprises the steps of collecting the getting-on time collecting modules of all stations and the latest getting-off time of the same line, counting and calculating the optimal departure time of a time period, and correcting the initial departure time.
7. The internet of vehicles based public transportation management method of claim 6, after determining the current position of the target bus by base station location, further comprising:
obtaining position correction data, and correcting the current position by using the position correction data; and using the corrected current position for the subsequent step.
8. The internet-of-vehicles-based public transportation management method according to claim 6, wherein the congestion index determination method comprises obtaining an average traveling speed of a target bus, and determining a distance between two adjacent buses and the average traveling speed to calculate a time difference between the two adjacent buses.
9. The internet of vehicles-based public transportation management method according to claim 8, wherein the congestion index decision further comprises a preset parameter, and the current speed reference value is obtained according to the preset parameter; the speed parameter values include: one or more of a weather parameter, a rush hour parameter, and a traffic control parameter;
determining historical driving speed and historical congestion index corresponding to the obtained speed parameter value;
according to the deviation of the current congestion index of the running path relative to the historical congestion index, correcting the historical running speed to obtain the average running speed of the target bus;
and obtaining the estimated arrival time of the target bus according to the quotient of the travel path length and the average travel speed.
10. The internet of vehicles based public transportation management method of claim 6, wherein: and obtaining the current position corresponding to the bus number through base station positioning according to the congestion index, determining the distance between at least one two adjacent buses according to the bus number, and calculating the predicted time difference, and then obtaining the historical card swiping station and data of the target bus, so as to prolong or shorten the interval time of the initial departure at the end point.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111179552.XA CN113888857A (en) | 2021-10-11 | 2021-10-11 | Public transportation management system, device and method based on Internet of vehicles |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111179552.XA CN113888857A (en) | 2021-10-11 | 2021-10-11 | Public transportation management system, device and method based on Internet of vehicles |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113888857A true CN113888857A (en) | 2022-01-04 |
Family
ID=79005900
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111179552.XA Pending CN113888857A (en) | 2021-10-11 | 2021-10-11 | Public transportation management system, device and method based on Internet of vehicles |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113888857A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115424467A (en) * | 2022-08-19 | 2022-12-02 | 贵阳移动金融发展有限公司 | Information acquisition system based on public transport |
| CN115796788A (en) * | 2022-12-06 | 2023-03-14 | 中南财经政法大学 | Automatic data management system and method |
| CN116127210A (en) * | 2023-04-12 | 2023-05-16 | 深圳柯赛标识智能科技有限公司 | Information data pushing system and method |
| CN117935169A (en) * | 2024-02-20 | 2024-04-26 | 北京市运输事业发展中心 | Passenger transport hub queuing time length prediction system based on image recognition |
| CN117974406A (en) * | 2024-03-28 | 2024-05-03 | 深圳市微克科技股份有限公司 | Public transportation site monitoring method, system and medium based on intelligent wearable device |
| CN117935169B (en) * | 2024-02-20 | 2024-07-09 | 北京市运输事业发展中心 | Passenger transport hub queuing time length prediction system based on image recognition |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103985265A (en) * | 2014-06-03 | 2014-08-13 | 北方工业大学 | Bus priority control method and system for avoiding bus clustering |
| CN105070037A (en) * | 2015-07-15 | 2015-11-18 | 国家电网公司 | Public traffic information platform for comprehensive management and broadcast and operation control method thereof |
| CN107967802A (en) * | 2016-10-19 | 2018-04-27 | 高德信息技术有限公司 | A kind of bus speed determines method and device |
| CN108151757A (en) * | 2017-12-28 | 2018-06-12 | 安徽科硕智谷信息科技有限公司 | One kind is based on smart city public bus network structure system and construction method |
| CN109376928A (en) * | 2018-10-24 | 2019-02-22 | 天津市市政工程设计研究院 | Consider the customization public transport rideshare optimization method of bipartite matching |
| CN111815189A (en) * | 2020-07-15 | 2020-10-23 | 同济大学 | Modular bus dispatching system |
| WO2021159865A1 (en) * | 2020-02-11 | 2021-08-19 | 罗普特科技集团股份有限公司 | Data calibration-based bus route prediction method and system |
-
2021
- 2021-10-11 CN CN202111179552.XA patent/CN113888857A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103985265A (en) * | 2014-06-03 | 2014-08-13 | 北方工业大学 | Bus priority control method and system for avoiding bus clustering |
| CN105070037A (en) * | 2015-07-15 | 2015-11-18 | 国家电网公司 | Public traffic information platform for comprehensive management and broadcast and operation control method thereof |
| CN107967802A (en) * | 2016-10-19 | 2018-04-27 | 高德信息技术有限公司 | A kind of bus speed determines method and device |
| CN108151757A (en) * | 2017-12-28 | 2018-06-12 | 安徽科硕智谷信息科技有限公司 | One kind is based on smart city public bus network structure system and construction method |
| CN109376928A (en) * | 2018-10-24 | 2019-02-22 | 天津市市政工程设计研究院 | Consider the customization public transport rideshare optimization method of bipartite matching |
| WO2021159865A1 (en) * | 2020-02-11 | 2021-08-19 | 罗普特科技集团股份有限公司 | Data calibration-based bus route prediction method and system |
| CN111815189A (en) * | 2020-07-15 | 2020-10-23 | 同济大学 | Modular bus dispatching system |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115424467A (en) * | 2022-08-19 | 2022-12-02 | 贵阳移动金融发展有限公司 | Information acquisition system based on public transport |
| CN115424467B (en) * | 2022-08-19 | 2023-10-24 | 贵阳移动金融发展有限公司 | Information acquisition system based on public transportation |
| CN115796788A (en) * | 2022-12-06 | 2023-03-14 | 中南财经政法大学 | Automatic data management system and method |
| CN116127210A (en) * | 2023-04-12 | 2023-05-16 | 深圳柯赛标识智能科技有限公司 | Information data pushing system and method |
| CN117935169A (en) * | 2024-02-20 | 2024-04-26 | 北京市运输事业发展中心 | Passenger transport hub queuing time length prediction system based on image recognition |
| CN117935169B (en) * | 2024-02-20 | 2024-07-09 | 北京市运输事业发展中心 | Passenger transport hub queuing time length prediction system based on image recognition |
| CN117974406A (en) * | 2024-03-28 | 2024-05-03 | 深圳市微克科技股份有限公司 | Public transportation site monitoring method, system and medium based on intelligent wearable device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113888857A (en) | Public transportation management system, device and method based on Internet of vehicles | |
| US20180315022A1 (en) | Ride sharing management device, ride sharing management method, and program | |
| US10816345B2 (en) | Enhancing navigation experience using V2X supplemental information | |
| EP2332021B1 (en) | System and method for parking time estimations | |
| CN103106702B (en) | Based on the bus trip service system of cloud computing | |
| US20220299324A1 (en) | Accident fault detection based on multiple sensor devices | |
| CN111104990B (en) | Method, device, server and storage medium for determining traffic route | |
| CN105589939B (en) | Method and device for identifying group motion trail | |
| CN109084794B (en) | Path planning method | |
| CN100357986C (en) | Method for transmitting and processing dispatching information in vehicle dispatching system | |
| CN106489173A (en) | For determining method and the free parking space aid system on parking stall | |
| JP5438111B2 (en) | Method and system for automatically and directly contacting a driver with at least one passenger | |
| US11481697B2 (en) | Vehicle dispatch system, server, and information processing method | |
| CN102610118A (en) | Bus information acquiring device, bus positioning system and method | |
| CN106382939A (en) | System and method for predicating driving time on navigation path based on historical data | |
| US20220333937A1 (en) | Method for providing integratednavigation service using vehicle sharing network, and device and system for same | |
| CN105528401A (en) | Bus information inquiry method and apparatus | |
| CN103900592A (en) | Method for reminding in traveling by car | |
| CN108230720A (en) | Parking management method and device | |
| CN101086449B (en) | Navigation device dynamic target tracking method | |
| CN108986512A (en) | A kind of bus arrival time querying method and device | |
| KR20140080012A (en) | Bus information providing system and method applied bus stop order | |
| US20220341742A1 (en) | Systems and methods for route reconstruction | |
| CN113160542A (en) | Riding method and device based on information feedback | |
| US20210116582A1 (en) | Method and system for estimating a wait time at a destination of a vehicle using v2v communication |
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 |
Application publication date: 20220104 |
|
| RJ01 | Rejection of invention patent application after publication |