CN112216099A - Wisdom trip system based on thing networking and artificial intelligence - Google Patents
Wisdom trip system based on thing networking and artificial intelligence Download PDFInfo
- Publication number
- CN112216099A CN112216099A CN202010899801.1A CN202010899801A CN112216099A CN 112216099 A CN112216099 A CN 112216099A CN 202010899801 A CN202010899801 A CN 202010899801A CN 112216099 A CN112216099 A CN 112216099A
- Authority
- CN
- China
- Prior art keywords
- parking
- information
- user
- route
- travel
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/096833—Systems involving transmission of navigation instructions to the vehicle where different aspects are considered when computing the route
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
- G08G1/145—Traffic control systems for road vehicles indicating individual free spaces in parking areas where the indication depends on the parking areas
- G08G1/148—Management of a network of parking areas
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/60—Positioning; Navigation
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Computing Systems (AREA)
- Mathematical Physics (AREA)
- Traffic Control Systems (AREA)
- Navigation (AREA)
Abstract
The invention provides an intelligent travel system based on the Internet of things and artificial intelligence, which comprises: a service platform, the service platform comprising: the public transport unit is used for providing a public transport trip scheme for the user; the roadside parking unit is used for providing a roadside parking scheme for the user; the parking lot parking unit is used for providing a parking lot parking scheme for a user; and the automobile service unit is used for providing automobile repairing and washing services for the user. The intelligent travel system based on the Internet of things and artificial intelligence disclosed by the invention has the advantages that unified standard interface service is formulated, the system is accessed to each independent parking system in a city, parking resources are integrated, public transportation resources and services such as vehicle repair, vehicle washing and vehicle maintenance are integrated, and various requirements of people on travel are met.
Description
Technical Field
The invention relates to the technical field of intelligent travel, in particular to an intelligent travel system based on the Internet of things and artificial intelligence.
Background
At present, with the improvement of living standard of people, automobiles gradually enter thousands of households. However, parking lots in cities all use mutually independent parking systems, and APP of the parking systems are mutually independent, so that users are required to download various different APPs to meet the requirements of traveling; the number of the APPs is large, which is not beneficial to the use and management of the mobile phone of the user.
Disclosure of Invention
One of the purposes of the invention is to provide an intelligent travel system based on the Internet of things and artificial intelligence, which makes a unified standard interface service, accesses each independent parking system in a city, integrates parking resources, integrates public transportation resources and services such as vehicle repair, vehicle washing, vehicle maintenance and the like, and meets various requirements of people on travel.
The embodiment of the invention provides an intelligent travel system based on the Internet of things and artificial intelligence, which comprises: a service platform, the service platform comprising:
the public transport unit is used for providing a public transport trip scheme for the user;
the roadside parking unit is used for providing a roadside parking scheme for the user;
the parking lot parking unit is used for providing a parking lot parking scheme for a user;
and the automobile service unit is used for providing automobile repairing and washing services for the user.
Preferably, the public transportation unit comprises:
a public bicycle management subunit for managing public bicycle data;
the bus management subunit is used for managing bus line information and bus scheduling information;
and the subway management subunit is used for managing subway line information.
Preferably, wisdom trip system based on thing networking and artificial intelligence still includes:
the roadside parking space state detection device is in communication connection with the roadside parking unit and is used for detecting the state of the roadside parking space;
roadside parking space state detection device includes: one or more of a geomagnetic sensor, high-pole video shooting equipment and a video pile.
Preferably, wisdom trip system based on thing networking and artificial intelligence still includes:
the parking equipment of the parking lot is in communication connection with the parking unit of the parking lot and is used for detecting the states of vehicles entering and leaving the parking lot and the parking spaces of the parking lot;
the parking lot parking apparatus includes: one or more of a gate, a license plate recognizer and an ETC are combined.
Preferably, wisdom trip system based on thing networking and artificial intelligence still includes: the travel planning unit is used for providing a travel scheme and travel navigation for the user;
the travel planning unit performs the following operations:
acquiring first information which is input by a user and represents a travel destination;
analyzing the first information, and determining the type of the travel destination, and first position information and second position information of the travel destination; the first position is address information of map navigation of a travel destination; the second position is address information of indoor navigation of the travel destination;
when the type of the travel destination is a merchant name, acquiring a pre-stored communication route of the travel destination;
sending first inquiry information to a merchant and receiving first response information of the merchant to the first inquiry information, wherein the first inquiry information comprises the operation condition of the merchant, and the operation condition of the merchant comprises: a waiting list and/or estimated pick-up time of the customer;
analyzing the first response information, and generating second inquiry information when the number of waiting customers in a waiting list in the first response information is larger than a preset number value and/or the estimated waiting time is larger than a preset time value; the second inquiry information includes: whether to make an appointment or not;
sending the second inquiry to the user and receiving second response information of the user to the second inquiry information;
analyzing the second response information, and generating third inquiry information when the second response information comprises reservation information; the third query information includes a reservation query;
sending the third inquiry information to the merchant and receiving third response information of the merchant to the third inquiry information;
when the third response information comprises reservation success information, sending the reservation success information to the user;
receiving a planning instruction of a user, planning a route based on a first position and a second position, and outputting a planned travel navigation list; the travel navigation list comprises at least one travel navigation route.
Preferably, based on thing networking and artificial intelligence's wisdom trip system, carry out route planning based on first position and second position, include:
acquiring a travel tool type of a user;
when the type of the user's travel tool is the automobile, acquiring the use condition of a parking space in a parking lot corresponding to a merchant; determining a plurality of idle parking spaces based on the using conditions of the parking spaces, and acquiring third positions of the plurality of idle parking spaces;
acquiring an indoor map of a building where a merchant is located and an indoor map of a parking lot, and performing indoor route planning by taking each piece of third position information as a starting point and the second position information as an end point to acquire a plurality of first routes;
acquiring fourth position information of at least one entrance of the parking lot;
respectively taking each fourth position information as a starting point and each third position information as a terminal to plan an indoor route and obtain a plurality of second routes;
acquiring the current fifth position information of the user;
a navigation map is acquired and,
acquiring sixth position information corresponding to the plurality of fourth position information on the navigation map;
performing route planning based on the fifth position information, the first position information and the sixth position information to obtain a plurality of third routes;
integrating the first route, the second route and the third route to determine at least one planned route;
and screening the planned routes based on preset rules, and determining a preset number of the planned routes to form a travel navigation route list.
Preferably, the screening of the planned routes based on the preset rules and the determination of the planned routes in the preset number as the travel navigation include:
obtaining historical traffic data of a first route, historical traffic data of a second route and historical traffic data of a third route in each planned route;
determining a first passing time of the first route, a second passing time of the second route and a third passing time of the third route based on the historical passing data;
determining the recommendation degree of the planned route based on the first passing time, the second passing time and the third passing time, wherein the calculation formula is as follows:
wherein, PjRecommendation for jth planned route, t1,jFor the time value, t, of the first transit time in the jth planned route2,jFor a time value, t, of a second passage time in the jth planned route3,jThe time value of the third passing time in the jth planned route, n the number of the planned routes, alpha the preset relation coefficient of the first passing time, and beta the preset relation coefficient of the second passing time and the third passing time;
and determining a preset number of planned routes based on the recommendation degree to prepare a travel navigation route list.
Preferably, the travel planning unit further performs the following operations:
determining a travel navigation route selected by a user from a travel navigation list;
acquiring information of idle parking spaces in a travel navigation route;
generating parking space reservation information based on the free parking space information;
and sending the parking space reservation information to a parking management system of the parking lot for parking space reservation.
Preferably, wisdom trip system based on thing networking and artificial intelligence still includes: the parking scheduling unit is used for scheduling and adjusting the parking spaces according to the parking instructions sent by the users after the users drive into the parking lot;
the parking scheduling unit performs the following operations:
when the parking space requested to be parked by the user is the parking space reserved by the user, sending a parking instruction to a parking management system, and controlling a parking space lock to be opened by the parking management system;
when the parking space requested to be parked by the user is an idle parking space, sending an instruction for releasing the parking space reserved by the user to a parking management system, and setting the parking space reserved by the user as idle by the parking management system;
when the parking space that the user requested to park in is the parking space reserved by another user, sending a replacement request to the other user, wherein the replacement request comprises: the difference condition of the navigation route and the travel navigation route after the parking space is replaced; the difference situation includes: the variation of the arrival time;
receiving feedback information of agreeing to replacement of the replacement request sent by another user, sending a parking instruction to a parking management system, and controlling the parking space lock to be opened by the parking management system; and sending an instruction for replacing the parking space reserved by the other user with the parking space reserved by the user to the parking management system.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic diagram of an intelligent travel system based on internet of things and artificial intelligence in an embodiment of the present invention;
FIG. 2 is a schematic illustration of a mass transit unit in an embodiment of the present invention;
fig. 3 is a schematic diagram of another intelligent travel system based on the internet of things and artificial intelligence in the embodiment of the present invention.
In the figure:
1. a service platform; 11. a public transportation unit; 12. a roadside parking unit; 13. a parking lot parking unit; 14. a steam clothes unit; 15. a trip planning unit; 16. a parking scheduling unit; 111. a public bicycle management subunit; 112. a bus management subunit; 113. a subway management subunit; 121. roadside parking space state detection means; 131. parking equipment for a parking lot.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The embodiment of the invention provides an intelligent travel system based on the internet of things and artificial intelligence, as shown in fig. 1, the intelligent travel system comprises: the service platform 1, the service platform 1 includes:
the public transport unit 11 is used for providing a public transport trip scheme for a user;
the roadside parking unit 12 is used for providing a roadside parking scheme for the user;
a parking lot parking unit 13 for providing a parking lot parking scheme for a user;
and the automobile clothes unit 14 is used for providing automobile repairing and washing services for users.
The working principle and the beneficial effects of the technical scheme are as follows:
the public transport unit 11 is used for accessing a public transport resource platform and providing a public transport trip scheme for the user according to the destination input by the user; roadside parking unit 12 for access to existing roadside parking system or set up roadside parking system, be used for providing the roadside parking scheme for the user, the roadside parking scheme includes: parking space inquiry, parking space navigation, parking charge and the like; parking area parking unit 13 for insert current parking area parking system or establish parking area parking system for provide the parking area parking scheme for the user, the parking area parking scheme includes: parking space inquiry, parking space navigation, parking charge and the like. And the automobile service unit 14 is linked with each automobile maintenance platform and provides services such as automobile repair, automobile washing, automobile maintenance and the like for users. The parking resources in the whole city are integrated through a set of standards, so that the parking information is completely played on line, and the parking in the whole city has no dead angle; the service system integrates services such as vehicle repairing, vehicle washing, fuel filling and the like of a vehicle surrounding service vehicle owner through the platform besides parking payment, and brings great convenience to the travel of the vehicle owner; compared with the traditional scheme, the scheme has the advantages that the same berth operation needs fewer people; real-time induction ensures that the owner can stop when the rest position is not pushed timely. In addition, big dipper, bluetooth technology can also be integrated and the car is sought in large-scale parking area indoor navigation. Common geomagnetism, NB geomagnetism, high-pole videos, video piles and the like form an urban-level road-occupying parking system through the service platform 1, and a plurality of road-occupying parking systems gather data to the service platform 1 through the roadside parking units 12; the system comprises a common yard, a community yard, a shared yard system integration gate, a license plate recognition instrument, an ETC and other Internet of things equipment to form a single yard system, and thousands of pairs of the systems gather data to a service platform 1 through a parking lot parking unit 13; some public bike, public transport and subway resources also converge data to the service platform 1 through the public transport unit 11; the service platform 1 finally becomes a data center, a monitoring center, an intelligent scheduling center and an inducing center for city intelligent travel. App, applet, life number and the like perform information interaction through the service platform 1 to provide convenient services such as guidance, monthly payment, fee pursuit, car washing, car repairing, merchant ticket, indoor reverse car searching and the like for citizens.
The intelligent travel system based on the Internet of things and artificial intelligence disclosed by the invention has the advantages that unified standard interface service is formulated, the system is accessed to each independent parking system in a city, parking resources are integrated, public transportation resources and services such as vehicle repair, vehicle washing and vehicle maintenance are integrated, and various requirements of people on travel are met.
In one embodiment, as shown in FIG. 2, a mass transit unit 11 comprises:
a public bicycle management subunit 111 for managing public bicycle data;
a bus management subunit 112, configured to manage bus route information and bus scheduling information;
and a subway management subunit 113 for managing subway line information.
The working principle and the beneficial effects of the technical scheme are as follows:
the public bicycle management subunit 111 is accessed to the urban public bicycle management platform to provide public bicycle services for users, such as renting, inquiring and the like; the public transportation management subunit 112 is used for accessing the urban public transportation management platform and providing services such as public transportation route inquiry and the like for the user; and the subway management subunit 113 is used for accessing the subway management platform and providing services such as subway line inquiry and the like for the user.
In one embodiment, as shown in fig. 3, the intelligent travel system based on internet of things and artificial intelligence further includes:
the roadside parking space state detection device 121 is in communication connection with the roadside parking unit 12 and is used for detecting the state of the roadside parking space;
roadside parking space state detection device 121 includes: one or more of a geomagnetic sensor, high-pole video shooting equipment and a video pile.
The working principle and the beneficial effects of the technical scheme are as follows:
monitoring the state of a roadside parking space through a geomagnetic sensor, high-pole video shooting equipment and a video pile; and a data base is provided for the establishment of the roadside parking system.
In one embodiment, as shown in fig. 3, the intelligent travel system based on internet of things and artificial intelligence further includes:
the parking lot parking equipment 131 is in communication connection with the parking lot parking unit 13 and is used for detecting the states of vehicles entering and leaving the parking lot and parking places of the parking lot;
the parking lot parking apparatus 131 includes: one or more of a gate, a license plate recognizer and an ETC are combined.
The working principle and the beneficial effects of the technical scheme are as follows:
the gate, the license plate recognition instrument and the ETC are devices for realizing the access management of the parking lot and are key devices for establishing a parking lot management system. Further, the parking lot parking device 131 may further include: the parking guidance display screen comprises a geomagnetic sensor, a camera arranged in a parking lot, a parking guidance display screen arranged in the parking lot and the like.
In one embodiment, as shown in fig. 3, the intelligent travel system based on internet of things and artificial intelligence further includes: the travel planning unit 15 is configured to provide a travel scheme and travel navigation for the user;
the travel planning unit 15 performs the following operations:
acquiring first information which is input by a user and represents a travel destination;
analyzing the first information, and determining the type of the travel destination, and first position information and second position information of the travel destination; the first position is address information of map navigation of a travel destination; the second position is address information of indoor navigation of the travel destination;
when the type of the travel destination is a merchant name, acquiring a pre-stored communication route of the travel destination;
sending first inquiry information to a merchant and receiving first response information of the merchant to the first inquiry information, wherein the first inquiry information comprises the operation condition of the merchant, and the operation condition of the merchant comprises: a waiting list and/or estimated pick-up time of the customer;
analyzing the first response information, and generating second inquiry information when the number of waiting customers in a waiting list in the first response information is larger than a preset number value and/or the estimated waiting time is larger than a preset time value; the second inquiry information includes: whether to make an appointment or not;
sending the second inquiry to the user and receiving second response information of the user to the second inquiry information;
analyzing the second response information, and generating third inquiry information when the second response information comprises reservation information; the third query information includes a reservation query;
sending the third inquiry information to the merchant and receiving third response information of the merchant to the third inquiry information;
when the third response information comprises reservation success information, sending the reservation success information to the user;
receiving a planning instruction of a user, planning a route based on a first position and a second position, and outputting a planned travel navigation list; the travel navigation list comprises at least one travel navigation route.
In order to realize travel route planning, based on thing networking and artificial intelligence's wisdom trip system carries out route planning based on first position and second position, includes:
acquiring a travel tool type of a user;
when the type of the user's travel tool is the automobile, acquiring the use condition of a parking space in a parking lot corresponding to a merchant; determining a plurality of idle parking spaces based on the using conditions of the parking spaces, and acquiring third positions of the plurality of idle parking spaces;
acquiring an indoor map of a building where a merchant is located and an indoor map of a parking lot, and performing indoor route planning by taking each piece of third position information as a starting point and the second position information as an end point to acquire a plurality of first routes;
acquiring fourth position information of at least one entrance of the parking lot;
respectively taking each fourth position information as a starting point and each third position information as a terminal to plan an indoor route and obtain a plurality of second routes;
acquiring the current fifth position information of the user;
a navigation map is acquired and,
acquiring sixth position information corresponding to the plurality of fourth position information on the navigation map;
performing route planning based on the fifth position information, the first position information and the sixth position information to obtain a plurality of third routes;
integrating the first route, the second route and the third route to determine at least one planned route;
and screening the planned routes based on preset rules, and determining a preset number of the planned routes to form a travel navigation route list.
The working principle and the beneficial effects of the technical scheme are as follows:
the travel route planning provided by the embodiment integrates the map navigation part and the indoor navigation part, realizes the perfect connection of map navigation and indoor navigation, and provides a complete route to a merchant for a user. When the merchant is used as the target, the user can know the operation condition of the merchant and provide the reservation service; the waiting time of the user arriving at the merchant is reduced, convenience is brought to the user for traveling, and the traveling experience of the user is improved.
In one embodiment, screening the planned routes based on preset rules to determine a preset number of the planned routes as travel navigations includes:
obtaining historical traffic data of a first route, historical traffic data of a second route and historical traffic data of a third route in each planned route;
determining a first passing time of the first route, a second passing time of the second route and a third passing time of the third route based on the historical passing data;
determining the recommendation degree of the planned route based on the first passing time, the second passing time and the third passing time, wherein the calculation formula is as follows:
wherein, PjRecommendation for jth planned route, t1,jFor the time value, t, of the first transit time in the jth planned route2,jFor a time value, t, of a second passage time in the jth planned route3,jThe time value of the third passing time in the jth planned route, n the number of the planned routes, alpha the preset relation coefficient of the first passing time, and beta the preset relation coefficient of the second passing time and the third passing time;
and determining a preset number of planned routes based on the recommendation degree to prepare a travel navigation route list.
The working principle and the beneficial effects of the technical scheme are as follows:
the passing time of each sectional route is respectively estimated based on the historical data of each sectional route in the planned route, statistical estimation is carried out by adopting the historical data, the traffic condition of each sectional route is comprehensively considered, and the estimation is closer to the actual condition compared with the estimation according to the speed and the route length. The planned route is subjected to recommendation degree evaluation on the basis of the passing time of each planned route, the shorter the passing time is, the higher the evaluation value is, and the walking and driving parts are evaluated separately, and the correlation coefficient of the walking part (the first passing time) is set to be larger than that of the driving part (the second passing time and the third passing time), so that the recommendation degree of the planned route with less walking time is higher, and the planned route accords with the travel selection of most people at present.
In one embodiment, the travel planning unit 15 further performs the following operations:
determining a travel navigation route selected by a user from a travel navigation list;
acquiring information of idle parking spaces in a travel navigation route;
generating parking space reservation information based on the free parking space information;
and sending the parking space reservation information to a parking management system of the parking lot for parking space reservation.
The working principle and the beneficial effects of the technical scheme are as follows:
when the user chooses the trip navigation route to navigate, in order to realize that the user can stop into the parking space in the trip navigation route when arriving, the user can make an appointment with the parking management system in the parking lot in an appointment mode, the parking management system opens the parking space lock after the appointment, and when the user arrives, the parking space lock is closed, so that convenience is provided for the user to go out.
In one embodiment, as shown in fig. 3, the intelligent travel system based on internet of things and artificial intelligence further includes: the parking scheduling unit 16 is used for scheduling and adjusting the parking spaces according to the parking instructions sent by the users after the users drive into the parking lot;
when the parking space requested to be parked by the user is the parking space reserved by the user, sending a parking instruction to a parking management system, and controlling a parking space lock to be opened by the parking management system;
when the parking space requested to be parked by the user is an idle parking space, sending an instruction for releasing the parking space reserved by the user to a parking management system, and setting the parking space reserved by the user as idle by the parking management system;
when the parking space that the user requested to park in is the parking space reserved by another user, sending a replacement request to the other user, wherein the replacement request comprises: the difference condition of the navigation route and the travel navigation route after the parking space is replaced; the difference situation includes: the variation of the arrival time;
receiving feedback information of agreeing to replacement of the replacement request sent by another user, sending a parking instruction to a parking management system, and controlling the parking space lock to be opened by the parking management system; and sending an instruction for replacing the parking space reserved by the other user with the parking space reserved by the user to the parking management system.
The working principle and the beneficial effects of the technical scheme are as follows:
the embodiment provides a solution when the user drives into the parking lot but does not park into the reserved parking space, and when the user parks into the free parking space, the reserved parking space is directly set to be free; when parking into a parking space reserved by others, the users who reserve the parking space need to agree; and when sending a replacement request to the user of the parking space, the user needs to enumerate the difference before and after replacement, so that the reservation user of the parking space can conveniently judge whether to replace the parking space.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. The utility model provides a wisdom trip system based on thing networking and artificial intelligence, includes: a service platform, characterized in that the service platform comprises:
the public transport unit is used for providing a public transport trip scheme for the user;
the roadside parking unit is used for providing a roadside parking scheme for the user;
the parking lot parking unit is used for providing a parking lot parking scheme for a user;
and the automobile service unit is used for providing automobile repairing and washing services for the user.
2. The intelligent travel system based on internet of things and artificial intelligence of claim 1, wherein the public transportation unit comprises:
a public bicycle management subunit for managing public bicycle data;
the bus management subunit is used for managing bus line information and bus scheduling information;
and the subway management subunit is used for managing subway line information.
3. The internet of things and artificial intelligence based intelligent travel system of claim 1, further comprising:
the roadside parking space state detection device is in communication connection with the roadside parking unit and used for detecting the state of a roadside parking space;
roadside parking space state detection device includes: one or more of a geomagnetic sensor, high-pole video shooting equipment and a video pile.
4. The internet of things and artificial intelligence based intelligent travel system of claim 1, further comprising:
the parking equipment of the parking lot is in communication connection with the parking unit of the parking lot and is used for detecting the states of vehicles entering and leaving the parking lot and the parking spaces of the parking lot;
the parking lot parking apparatus includes: one or more of a gate, a license plate recognizer and an ETC are combined.
5. The internet of things and artificial intelligence based intelligent travel system of claim 1, further comprising: the travel planning unit is used for providing a travel scheme and travel navigation for the user;
the travel planning unit performs the following operations:
acquiring first information which is input by a user and represents a travel destination;
analyzing the first information, and determining the type of a travel destination, and first position information and second position information of the travel destination; the first position is address information of map navigation of the travel destination; the second position is address information of indoor navigation of the travel destination;
when the type of the travel destination is a merchant name, acquiring a pre-stored communication route of the travel destination;
sending first inquiry information to the merchant and accepting first response information of the merchant to the first inquiry information, wherein the first inquiry information comprises the operation condition of the merchant, and the operation condition of the merchant comprises: a waiting list and/or estimated pick-up time of the customer;
analyzing the first response information, and generating second inquiry information when the number of waiting customers in the waiting list in the first response information is larger than a preset number value and/or the estimated waiting time is larger than a preset time value; the second query information includes: whether to make an appointment or not;
sending the second query to the user and receiving second response information of the user to the second query information;
analyzing the second response information, and generating third inquiry information when the second response information comprises reservation information; the third query information comprises a reservation query;
sending the third inquiry information to the merchant and receiving third response information of the merchant for the third inquiry information;
when the third response information comprises reservation success information, sending the reservation success information to the user;
receiving a planning instruction of a user, planning a route based on the first position and the second position, and outputting a planned travel navigation list; the travel navigation list comprises at least one travel navigation route.
6. The internet of things and artificial intelligence based intelligent travel system of claim 5, wherein the route planning based on the first location and the second location comprises:
acquiring a travel tool type of a user;
when the type of the user's travel tool is the automobile, acquiring the use condition of a parking space in the parking lot corresponding to the merchant; determining a plurality of free parking spaces based on the use condition of the parking spaces, and acquiring third positions of the plurality of free parking spaces;
acquiring an indoor map of a building where the merchant is located and an indoor map of the parking lot, and performing indoor route planning by taking each piece of third position information as a starting point and the second position information as an end point to acquire a plurality of first routes;
acquiring fourth position information of at least one entrance of the parking lot;
respectively taking each piece of fourth position information as a starting point and each piece of third position information as a terminal to plan an indoor route and obtain a plurality of second routes;
acquiring the current fifth position information of the user;
a navigation map is acquired and,
acquiring corresponding sixth position information of a plurality of fourth position information on the navigation map;
performing route planning based on the fifth position information, the first position information and the sixth position information to obtain a plurality of third routes;
integrating the first route, the second route, and the third route to determine at least one planned route;
and screening the planned routes based on preset rules, and determining a preset number of the planned routes to form a travel navigation route list.
7. The intelligent travel system based on internet of things and artificial intelligence of claim 6, wherein the screening the planned routes based on preset rules and determining a preset number of the planned routes as travel navigation comprises:
obtaining historical traffic data of the first route, historical traffic data of the second route and historical traffic data of the third route in each planned route;
determining a first transit time for the first route, a second transit time for the second route, and a third transit time for the third route based on the historical transit data;
determining the recommendation degree of the planned route based on the first passing time, the second passing time and the third passing time, wherein the calculation formula is as follows:
wherein, PjThe degree of recommendation, t, for the jth of the planned route1，jFor the time value, t, of the first transit time in the jth of the planned route2，jIs the time value, t, of the second passing time in the jth of the planned route3，jThe time value of a third passing time in the jth planned route is obtained, n is the number of the planned routes, alpha is a preset relation coefficient of the first passing time, and beta is a preset relation coefficient of the second passing time and the third passing time;
and determining a preset number of planned routes based on the recommendation degree to make a travel navigation route list.
8. The intelligent travel system based on internet of things and artificial intelligence of claim 6, wherein the travel planning unit further performs the following operations:
determining the travel navigation route selected by the user from the travel navigation list;
acquiring the information of the idle parking spaces in the travel navigation route;
generating parking space reservation information based on the free parking space information;
and sending the parking space reservation information to a parking management system of the parking lot for parking space reservation.
9. The internet of things and artificial intelligence based intelligent travel system of claim 8, further comprising: the parking scheduling unit is used for scheduling and adjusting the parking spaces according to the parking instructions sent by the users after the users drive into the parking lot;
the parking scheduling unit performs the following operations:
when the parking space requested to be parked by the user is the parking space reserved by the user, sending a parking instruction to the parking management system, and controlling the parking space lock to be opened by the parking management system;
when the parking space requested to be parked by the user is an idle parking space, sending an instruction for releasing the parking space reserved by the user to the parking management system, wherein the parking management system sets the parking space reserved by the user to be idle;
when the parking space requested to be parked by the user is a parking space reserved by another user, sending a replacement request to the other user, wherein the replacement request comprises: the difference condition of the navigation route and the travel navigation route after the parking space is replaced; the difference situation comprises: the variation of the arrival time;
receiving feedback information of approving the replacement of the replacement request sent by another user, and sending a parking instruction to the parking management system, wherein the parking management system controls the parking space lock to be opened; and sending an instruction for replacing the parking space reserved by the other user with the parking space reserved by the user to the parking management system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010899801.1A CN112216099B (en) | 2020-08-31 | 2020-08-31 | Wisdom trip system based on thing networking and artificial intelligence |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010899801.1A CN112216099B (en) | 2020-08-31 | 2020-08-31 | Wisdom trip system based on thing networking and artificial intelligence |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112216099A true CN112216099A (en) | 2021-01-12 |
| CN112216099B CN112216099B (en) | 2021-10-01 |
Family
ID=74059258
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010899801.1A Active CN112216099B (en) | 2020-08-31 | 2020-08-31 | Wisdom trip system based on thing networking and artificial intelligence |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112216099B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113240932A (en) * | 2021-04-07 | 2021-08-10 | 浙江创泰科技有限公司 | Parking space safety verification method and system |
| CN117523913A (en) * | 2024-01-04 | 2024-02-06 | 中建科工集团智慧停车科技有限公司 | Intelligent rod-based road side parking monitoring method, device, equipment and medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180043212A1 (en) * | 2016-08-12 | 2018-02-15 | Seiko Epson Corporation | System, method, and non-transitory computer readable medium for recommending a route based on a user's physical condition |
| CN109559553A (en) * | 2018-12-12 | 2019-04-02 | 重庆邮电大学 | A kind of wisdom shutdown system and its parking management method |
| CN110164175A (en) * | 2019-05-30 | 2019-08-23 | 陕西华标医药项目管理有限公司 | Parking management method, device, medium and Cloud Server based on cloud |
| CN110263955A (en) * | 2019-05-13 | 2019-09-20 | 中装捷顺智慧交通(江苏)有限公司 | A kind of system and terminal of wisdom trip |
| CN110363993A (en) * | 2019-07-24 | 2019-10-22 | 深圳市凯达尔科技实业有限公司 | A kind of city sound state wisdom traffic management platform |
-
2020
- 2020-08-31 CN CN202010899801.1A patent/CN112216099B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180043212A1 (en) * | 2016-08-12 | 2018-02-15 | Seiko Epson Corporation | System, method, and non-transitory computer readable medium for recommending a route based on a user's physical condition |
| CN109559553A (en) * | 2018-12-12 | 2019-04-02 | 重庆邮电大学 | A kind of wisdom shutdown system and its parking management method |
| CN110263955A (en) * | 2019-05-13 | 2019-09-20 | 中装捷顺智慧交通(江苏)有限公司 | A kind of system and terminal of wisdom trip |
| CN110164175A (en) * | 2019-05-30 | 2019-08-23 | 陕西华标医药项目管理有限公司 | Parking management method, device, medium and Cloud Server based on cloud |
| CN110363993A (en) * | 2019-07-24 | 2019-10-22 | 深圳市凯达尔科技实业有限公司 | A kind of city sound state wisdom traffic management platform |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113240932A (en) * | 2021-04-07 | 2021-08-10 | 浙江创泰科技有限公司 | Parking space safety verification method and system |
| CN117523913A (en) * | 2024-01-04 | 2024-02-06 | 中建科工集团智慧停车科技有限公司 | Intelligent rod-based road side parking monitoring method, device, equipment and medium |
| CN117523913B (en) * | 2024-01-04 | 2024-04-09 | 中建科工集团智慧停车科技有限公司 | Intelligent rod-based road side parking monitoring method, device, equipment and medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112216099B (en) | 2021-10-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9734710B2 (en) | Real-time transportation network topology control-combined traffic flow control and dynamic route guidance system using in-vehicle navigator with bidirectional communication and parking guidance and reservation system using the same | |
| Weinberger et al. | Parking search caused congestion: Where’s all the fuss? | |
| CN105976041A (en) | Urban intelligent parking reserving system and method based on Internet of vehicles | |
| CN109637186A (en) | A kind of parking guidance information processing system and method, computer | |
| CN208521463U (en) | Managing system of car parking and its parking space management system, Car license recognition charging system | |
| CN110675649A (en) | Intelligent reserved parking system and method | |
| CN105185149A (en) | Parking lot parking space reservation and navigation system | |
| US20170178511A1 (en) | Determining parking status and parking availability | |
| CN108777076A (en) | A kind of city parking management system | |
| WO2015131646A1 (en) | Method and device for planning driving route for smart garage | |
| CN112216099B (en) | Wisdom trip system based on thing networking and artificial intelligence | |
| CN109389861A (en) | A kind of unattended charging pile management system and Vehicular charging method | |
| CN111553994A (en) | Intelligent management system of parking lot, parking method and parking device | |
| KR20200127842A (en) | Real time shared parking service system | |
| CN109191598A (en) | Parking space management system and its management method | |
| CN106846888A (en) | City parking resource management system and management method | |
| CN111696384B (en) | Intelligent shared parking system and method based on map | |
| CN107480973A (en) | A kind of expressway tol lcollection method of mobile payment | |
| CN108230720A (en) | Parking management method and device | |
| WO2010119509A1 (en) | Parking lot management device | |
| CN111798357A (en) | Full-city intelligent parking integrated service SaaS management system | |
| CN107330989A (en) | A kind of highway tolling system based on mobile payment | |
| CN112150859A (en) | Shared parking system and method based on WIFI | |
| CN113808430A (en) | Garage automatic parking system based on unmanned platform and operation method | |
| CN115100901A (en) | Parking space sharing intelligent management system and method for underground parking lot |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |