AU2021105752A4 - Multi-mode Transportation Sharing Travel Platform Under SaaS Mode - Google Patents
Multi-mode Transportation Sharing Travel Platform Under SaaS Mode Download PDFInfo
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- 238000012545 processing Methods 0.000 claims abstract description 37
- 238000012544 monitoring process Methods 0.000 claims description 14
- 238000007726 management method Methods 0.000 claims description 11
- 238000004422 calculation algorithm Methods 0.000 claims description 10
- 238000013473 artificial intelligence Methods 0.000 claims description 6
- 238000004458 analytical method Methods 0.000 claims description 5
- 238000013523 data management Methods 0.000 claims description 5
- 238000007619 statistical method Methods 0.000 claims description 3
- 239000008186 active pharmaceutical agent Substances 0.000 description 9
- 230000003068 static effect Effects 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 4
- 238000000034 method Methods 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
- 238000013500 data storage Methods 0.000 description 2
- 230000007423 decrease Effects 0.000 description 2
- 238000005065 mining Methods 0.000 description 2
- 238000012795 verification Methods 0.000 description 2
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- 101001072091 Homo sapiens ProSAAS Proteins 0.000 description 1
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- 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
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q50/40—Business processes related to the transportation industry
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- G—PHYSICS
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- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
- G06Q10/047—Optimisation of routes or paths, e.g. travelling salesman problem
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G99/00—Subject matter not provided for in other groups of this subclass
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- 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]
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Abstract
The invention discloses a multi-mode traffic sharing travel platform under SaaS mode
(Software-as-a-service), which comprises an acquisition module, a processing module and an
intelligent terminal; the acquisition module is used for acquiring multi-mode traffic state data;
the processing module is connected with the acquisition module and used for analysing and
processing the traffic state data and transmitting the processing result to the intelligent terminal;
the intelligent terminal is connected with the processing module and used for receiving the
processing result and reasonably selecting different traffic mode combinations, transfer points
and travel paths according to the processing result. According to the user's habits, preferences
and characteristics, the invention can optimize the travel route and make the user avoid the
travel peak, which not only saves time and reduces road congestion, but also has simple
operation and high intelligence, which greatly improves the convenience of people's travel.
1/1
FIGURES
Acquisition module
Processing module
Intelligentteminal
Figure 1
Description
1/1
Acquisition module
Processing module
Intelligentteminal
Figure 1
Multi-mode Transportation Sharing Travel Platform Under SaaS Mode
The invention belongs to the field of intelligent transportation, and particularly
relates to a multi-mode transportation sharing travel platform under a SaaS mode.
With the continuous improvement of people's living standards, people's travel
selectivity has also increased. However, more and more means of transportation,
complicated roads and the increasing number of people traveling make it more
difficult for people to travel, and it is difficult to carry out them in the planned time,
whether traveling, working or driving, and it is difficult to arrive on time on the
planned route; because of the large number of people, more vehicles and traffic jams,
people's travel comfort decreases; with the continuous improvement of big data
technology, how to combine big data with personalized travel service has become
another research focus. However, most of the existing travel service systems passively
provide users with the choice of travel means, and the travel scheme is relatively
fixed, which cannot generate personalized travel service recommendations according
to the characteristics of users' time, economy and different needs, and cannot carry out
intelligent route optimization, which will waste a lot of travel time for users, so as to
easily reduce their travel efficiency and travel experience. Therefore, it is of great
imoprtance to invent a personalized travel service big data application system and
method.
According to the invention, a multi-mode shared travel platform under the SaaS
mode (Software-as-a-service) is established based on user requirements, personalized
travel requirements of users in terms of time, economy, comfort and carbon emission
are weighed, and comprehensive travel planning services of various public
transportation are realized.
To achieve the above purpose, the present invention provides the following
scheme: the multi-mode transportation sharing travel platform under SaaS mode
includes:
An acquisition module, a processing module and an intelligent terminal;
The acquisition module is used for acquiring multi-mode traffic state data;
The processing module is connected with the acquisition module and used for
analysing and processing the multi-mode traffic state data and transmitting the
processing result to the intelligent terminal;
The intelligent terminal is connected with the processing module and used for
receiving the processing result and reasonably selecting a travel mode according to
the processing result.
Preferably, the multi-mode traffic state data includes vehicle state data, driving
route information data, passenger information data, city monitoring information data
and meteorological environment data.
Preferably, the vehicle state data includes vehicle scheduling data, vehicle stop
time data and vehicle station data.
Preferably, the processing module comprises an IaaS unit (Infrastructure as a
Service), a PaaS unit (Platform as a Service), a DaaS unit (Data as a Service) and a
SaaS unit;
The IaaS unit is used to provide computing infrastructure services to enable
related software to run;
The PaaS unit is connected with the IaaS unit and is used for providing a basic
service platform, and supports artificial intelligence computing, big data services,
index computing services, electronic map services, unified authentication services,
message buses and other micro services according to the basic service platform;
The DaaS unit is connected with the PaaS unit and is used for providing open
data, algorithm and report services to the outside world;
The SaaS unit is connected with the DaaS unit, and is used for supporting the
travel demand service from the intelligent terminal and the front-end service display
of the intelligent terminal.
Preferably, the DaaS unit is provided with a cloud service support platform,
which includes a big data management platform, a sharing exchange platform, an
algorithm platform and a BI analysis platform.
Preferably, the SaaS unit comprises a payment management layer, an intelligent
scheduling layer, a front-end framework and an API interface;
The intelligent scheduling layer is used for realizing intelligent scheduling of
traffic by adopting an intelligent scheduling strategy after analyzing the received
traffic state data;
And the payment management layer is used for collecting and calling payment
data, carrying out statistical analysis on the payment data, classifying the payment
data and storing the payment data.
Preferably, the payment data includes transaction completion data and
transaction quota data.
Preferably, the SaaS unit further comprises an API interface, and the data of the
DaaS unit is accessed by calling the API interface;
The SaaS unit also includes a front-end framework including VUE, H5 and ES6.
Preferably, the intelligent terminal comprises a user terminal, a vehicle-mounted
terminal and a monitoring terminal;
The user terminal is used for realizing identity authentication, access control, trip
prediction, driving route image display and payment settlement based on the mobile
phone APP;
The vehicle-mounted terminal is connected with the user terminal, and is used
for sending the transportation vehicle state data, the driving route information data
and the passenger information data to the SaaS unit, so as to reasonably allocate a
travel mode;
The monitoring terminal is respectively connected with the user terminal and the
vehicle-mounted terminal, and is used for sending the city monitoring information
data and the meteorological environment data to the SaaS unit.
Preferably, the vehicle-mounted terminal at least includes bike-sharing, taxi, bus,
subway, train, plane and ship.
The invention discloses the following technical effects:
The multi-mode transportation sharing travel platform under the SAAS mode
provided by the invention is based on the SaaS mode, and builds a multi-mode
intelligent travel platform according to the cloud computing technology and the
service-oriented model which greatly improves the convenience of people traveling.
The invention can plan and detect that location information that the user wants to
obtain, optimize and provide a plurality of road information; what's more, it will
actively optimize the route according to the user's habits, preferences and
characteristics, which will not only save time, but also reduce the congestion, make
the user avoid the peak and traffic, and make the user experience stronger and the
service better. The invention has the advantages of convenient operation, strong
intelligence and convenient travel of users; for users, they can reach the desired place
within the required time, saving time; for businesses such as maps, the user
experience is improved, the user's viscosity is higher, the corporate image is
improved, and time is saved.
In order to explain the embodiments of the present invention or the technical
scheme in the prior art more clearly, the figure needed in the embodiments will be
briefly introduced below. Obviously, the figure in the following description is only
some embodiments of the present invention, and for ordinary technicians in the field,
other figures can be obtained according to the figure without paying creative labor.
Figure 1 is a schematic diagram of a system structure according to an
embodiment of the present invention.
The technical scheme in the embodiments of the present invention will be
described clearly and completely with reference to the figure in the embodiments of
the present invention. Obviously, the described embodiments are only part of the
embodiments of the present invention, not all of them. Based on the embodiments of
the present invention, all other embodiments obtained by ordinary technicians in the
field without creative labor belong to the scope of protection of the present invention.
In order to make the above objects, features and advantages of the present
invention more obvious and easy to understand, the present invention will be further
explained in detail with reference to the drawings and specific embodiments.
As shown in fig. 1, the present invention provides a multi-mode transportation
sharing travel platform under SaaS mode, including:
An acquisition module, a processing module and an intelligent terminal;
The acquisition module is used for acquiring multi-mode traffic state data;
The processing module is connected with the acquisition module and used for
analysing and processing the multi-mode traffic state data and transmitting the
processing result to the intelligent terminal;
The intelligent terminal is connected with the processing module and used for
receiving the processing result and reasonably selecting a travel mode according to
the processing result.
Multi-mode traffic state data includes vehicle state data, driving route
information data, passenger information data, city monitoring information data and
meteorological environment data.
The vehicle state data includes transportation vehicle scheduling data,
transportation vehicle stop time data and transportation vehicle station data.
The processing module includes IaaS unit, PaaS unit, DaaS unit and SaaS unit.
IaaS unit, which is used to provide computing infrastructure services to enable
relevant software to run;
PaaS unit, connected with IaaS unit, for providing basic service platform and
supporting artificial intelligence calculation, big data service, index calculation
service, electronic map service, unified authentication service, message bus and other
micro services according to the basic service platform;
The DaaS unit connect with the PaaS unit for providing open data, algorithm and
report services to the outside world;
The SaaS unit connect with DaaS unit, for supporting travel demand service
from intelligent terminal and front-end service display of intelligent terminal.
The DaaS unit is equipped with a cloud service support platform, which includes
a big data management platform, a shared exchange platform, an algorithm platform
and a BI analysis platform.
SaaS unit includes payment management layer, intelligent scheduling layer,
front-end framework and API interface.
The payment management layer of the invention is used for setting the payment
mode, and the transaction mode is completed by establishing a two-dimensional code
scanning mode between the user terminal and the processing module and the
vehicle-mounted terminal, which requires the payment management layer to establish
a specific setting mode of code scanning; payment management has a unified payment
docking interface and supports WeChat, Ali pay or POS payment methods. Payment
category terminals in the payment management layer use the preset two-dimensional
code method to receive the passenger's two-dimensional code and complete the
payment by scanning the two-dimensional code. Payment category terminals realize
the storage of payment transaction data by identifying different types of payment
terminals and classifying them.
The mobile terminal of the mobile phone is responsible for completing the
generation of the two-dimensional code, and at the same time, the user certificate of
the passenger is embedded in the process of generating the two-dimensional code.
Passengers take offline mode when trading, and the terminal checks the time validity
of the user certificate offline when trading. The validity period of the user certificate
is set, which requires passengers to update online regularly and automatically through
the mobile APP. The online update period can be configured according to the
application needs of specific industries, and is temporarily set to 12 hours. By setting
the online update cycle reasonably, the risks of two-dimensional code theft and
malicious overdraft of passengers can be reduced in the all-offline mode.
In order to ensure the security of transaction data, the transaction security of the
present invention is set to adopt a combination of static authentication and dynamic
authentication: the user certificate of the passenger adopts a static authentication
mode, the user certificate is valid in the same day, and the static authentication data is
generated online. In order to further reduce the risk of theft, dynamic authentication is
added on the basis of static authentication. Different from static authentication data,
dynamic authentication data is embedded with time stamp when generating
two-dimensional code, and the default refresh period is 1 minute. Considering the
possible deviation of the passenger's mobile phone clock, the mobile phone terminal
needs to regularly update the deviation rate with the system background clock, and the
terminal needs to allow a certain time deviation when verifying the time validity, that
is, the time validity of two-dimensional code transaction is within the dynamic
authentication period parameter range (adjustable) required by terminal rules.
In the specific security mode, asymmetric key system is combined with
symmetric key system: asymmetric key system can reduce the cost of key
transmission and storage compared with symmetric key system, but asymmetric key
has a large amount of data transmission, and too much data of two-dimensional code
will lead to a decrease in recognition rate and speed. Therefore, this study adopts the
combination of asymmetric key system and symmetric key system, and the digital
certificate based on asymmetric key system is adopted for the static authentication of
passengers. Asymmetric key can reduce the risk caused by terminal key leakage. In
dynamic authentication, symmetric key is used. The terminal updates the verification master key in the dynamic key update cycle, and the passengers update the distributed verification master key in the dynamic key update cycle. The message digest of the transaction is obtained by using the symmetric key to verify the validity of the transaction.
The intelligent scheduling layer is used for realizing intelligent traffic scheduling
by adopting an intelligent scheduling strategy after analyzing the received traffic state
data;
Payment management layer is used to collect and call payment data, make
statistical analysis on payment data, classify payment data and store them.
Payment data includes transaction completion data and transaction quota data.
The SaaS unit also includes an API interface to access the data of the DaaS unit
by calling the API interface.
The SaaS unit also includes a front-end framework, which includes VUE, H5 and
ES6.
Intelligent terminal includes user terminals, vehicle-mounted terminals and
monitoring terminals.
The user terminal is used for realizing identity authentication, access control, trip
prediction, driving route image display and payment settlement based on the mobile
phone APP;
The vehicle-mounted terminal is connected with the user terminal, and is used
for sending the state data of the transportation vehicle, the driving route information data and the passenger information data to the SaaS unit, and reasonably distributing the travel modes;
The monitoring terminal is respectively connected with the user terminal and the
vehicle-mounted terminal, and is used for sending urban monitoring information data
and meteorological environment data to the SaaS unit.
Vehicle terminals at least include bike-sharing, taxi, bus, subway, train, plane
and ship.
Furthermore, if the received traffic vehicle state data is traffic vehicle state data,
service data based on the traffic vehicle state data is generated to send help signals to
nearby vehicles, and vehicles of the same class are dispatched to carry out personnel
transportation in time; if the received driving route information data, the driving route
information data and the city monitoring information data are gathered to form service
data of the monitoring category to be processed, and when the congestion state of the
driving route reaches a preset level, the information is released in time to dispatch
vehicles to run orderly and reduce traffic pressure; if meteorological environment data
is received, analyze the received environmental data, identify the location where
abnormal meteorological environment occurs, and form climate environment service
data, which can help airlines judge whether the aircraft is flying or not according to
the data processing structure.
Further, the processing module of the present invention includes IaaS unit, PaaS
unit, DaaS unit and SaaS unit. SaaS unit is a mode of providing software through the
Internet. Manufacturers deploy application software on their own servers in a unified way. Customers can order required application software services from manufacturers through the internet according to their actual needs, pay fees to manufacturers according to the number and duration of ordered services, and obtain services provided by manufacturers through the internet.
IaaS unit is used to provide customers with computing infrastructure services to
enable users to run related software. IaaS unit provides host, cloud storage and lake
storage technologies. Cloud hosts can use, expand and deploy the required server
environment according to business requirements. Data are stored in cloud storage and
lake storage, and the security of computing, storage and network is ensured by cloud
host. Cloud storage and lake storage meet the security and stability of data storage.
PaaS unit uses the basic open platform to support artificial intelligence
computing, big data service, index computing service, electronic map service, unified
authentication service, message bus and other micro services. Artificial intelligence
adopts a mature artificial intelligence framework to complete the analysis and mining
of huge amounts of data and pattern recognition. Big data uses Hadoop cluster
technology to store massive data and provide data storage services to the outside
world; then uses Spark engine to complete various operations, including SQL query,
text processing, machine learning, etc., and provide real-time computing services to
the outside world. The mature index algorithm system of index calculation integration
TOCC platform provides algorithm services to the outside world through unified API.
Electronic maps integrate Arcgis, internet maps and other professional maps, and
provide map services to the outside world by unifying GC maps; unified authentication, in order to ensure API service security through token authentication, all APIs ensure interface security and data security through unified authentication; micro-service provides business data services, integrates business requirements, and unifies external data services through horizontal expansion of micro-service. Message bus uses mature message middleware to access and distribute billions of data. PaaS unit is connected with IaaS unit.
DaaS unit forms a cloud service support platform with big data management
platform, sharing exchange platform, algorithm platform and BI analysis platform,
which is used to provide open data, algorithm and report services, integrate PaaS unit
services, and provide data management, data sharing exchange, data analysis and data
operation management services for business units. The DaaS unit is connected with
the PaaS unit; the SaaS unit is used to form personalized front-end display services
such as PC, big screen and mobile terminal, and is connected with the DaaS unit.
Through IaaS unit, PaaS unit, DaaS unit and SaaS unit, the data analysis and value
mining of the data collected in the early stage are realized. Through the technical
framework of the above four units, massive data is analyzed and processed, which is
available for enterprises and the public in an orderly manner, and realizes host
security, network security, data security and application security.
The above embodiments only describe the preferred mode of the invention, but
do not limit the scope of the invention. On the premise of not departing from the
design spirit of the invention, various modifications and improvements made by ordinary technicians in the field to the technical scheme of the invention shall fall within the protection scope determined by the claims of the invention.
Claims (10)
1. A multi-mode transportation sharing travel platform under SaaS mode is
characterized by comprising:
An acquisition module, a processing module and an intelligent terminal;
The acquisition module is used for acquiring multi-mode traffic state data;
The processing module is connected with the acquisition module and used for
analysing and processing the multi-mode traffic state data and transmitting the
processing result to the intelligent terminal;
The intelligent terminal is connected with the processing module and used for
receiving the processing result and reasonably selecting a travel mode according to
the processing result.
2. The multi-mode transportation sharing travel platform under SaaS mode
according to claim 1 is characterized in that the multi-mode traffic state data includes
vehicle state data, driving route information data, passenger information data, city
monitoring information data and meteorological environment data.
3. The multi-mode transportation sharing travel platform under SaaS mode
according to claim 2 is characterized in that the vehicle state data includes vehicle
scheduling data, vehicle stop time data and vehicle station data.
4. The multi-mode transportation sharing travel platform under SaaS mode
according to claim 1 is characterized in that the processing module comprises an IaaS
unit, a PaaS unit, a DaaS and a SaaS unit;
The IaaS unit is used to provide computing infrastructure services to enable
related software to run;
The PaaS unit is connected with the IaaS unit and is used for providing a basic
service platform, and supports artificial intelligence computing, big data services,
index computing services, electronic map services, unified authentication services,
message buses and other micro services according to the basic service platform;
The DaaS unit is connected with the PaaS unit and is used for providing open
data, algorithm and report services to the outside world;
The SaaS unit is connected with the DaaS unit, and is used for supporting the
travel demand service from the intelligent terminal and the front-end service display
of the intelligent terminal.
5. The multi-mode transportation sharing travel platform under SaaS mode
according to claim 4 is characterized in that the DaaS unit is provided with a cloud
service support platform, which includes a big data management platform, a sharing
exchange platform, an algorithm platform and a BI analysis platform.
6. The multi-mode transportation sharing travel platform under SaaS mode
according to claim 4 is characterized in that the SaaS unit comprises a payment
management layer, an intelligent scheduling layer, a front-end framework and an API
interface;
The intelligent scheduling layer is used for realizing intelligent scheduling of
traffic by adopting an intelligent scheduling strategy after analyzing the received
traffic state data;
And the payment management layer is used for collecting and calling payment
data, carrying out statistical analysis on the payment data, classifying the payment
data and storing the payment data.
7. The multi-mode transportation sharing travel platform under SaaS mode
according to claim 6 is characterized in that the payment data includes transaction
completion data and transaction quota data.
8. The multi-mode transportation sharing travel platform under SaaS mode
according to claim 4 is characterized in that the SaaS unit further comprises an API
interface, and the data of the DaaS unit is accessed by calling the API interface;
The SaaS unit also includes a front-end framework including VUE, H5 and ES6.
9. The multi-mode transportation sharing travel platform under SaaS mode
according to claim 2 is characterized in that the intelligent terminal comprises a user
terminal, a vehicle-mounted terminal and a monitoring terminal;
The user terminal is used for realizing identity authentication, access control, trip
prediction, driving route image display and payment settlement based on the mobile
phone APP;
The vehicle-mounted terminal is connected with the user terminal, and is used
for sending the transportation vehicle state data, the driving route information data
and the passenger information data to the SaaS unit, so as to reasonably allocate a
travel mode;
The monitoring terminal is respectively connected with the user terminal and the
vehicle-mounted terminal, and is used for sending the city monitoring information
data and the meteorological environment data to the SaaS unit.
10. The multi-mode transportation sharing travel platform under SaaS mode
according to claim 9 is characterized in that the vehicle-mounted terminal at least
includes bike-sharing, taxi, bus, subway, train, plane and ship.
FIGURES 1/1
Figure 1
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| AU2021105752A AU2021105752A4 (en) | 2021-08-18 | 2021-08-18 | Multi-mode Transportation Sharing Travel Platform Under SaaS Mode |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| AU2021105752A AU2021105752A4 (en) | 2021-08-18 | 2021-08-18 | Multi-mode Transportation Sharing Travel Platform Under SaaS Mode |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| AU2021105752A4 true AU2021105752A4 (en) | 2021-10-21 |
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| AU2021105752A Ceased AU2021105752A4 (en) | 2021-08-18 | 2021-08-18 | Multi-mode Transportation Sharing Travel Platform Under SaaS Mode |
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2021
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