CN115240423B - Internet-based intelligent urban traffic allocation method and system - Google Patents
Internet-based intelligent urban traffic allocation method and system Download PDFInfo
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- 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
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- G—PHYSICS
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- 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
- G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
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Abstract
The application relates to an Internet-based smart city traffic allocation method and system, comprising the steps of acquiring first traffic travel resource usage data occupied by traffic travel plans of first traffic travel subjects based on a preset Internet information acquisition module, acquiring traffic travel coincidence data of the first traffic travel subjects, and generating current traffic resource occupancy rate according to the traffic travel coincidence data; generating a traffic resource occupation comparison result; and when judging that the current traffic resource occupancy rate exceeds the preset standard resource occupancy rate according to the traffic resource occupancy rate comparison result, generating traffic resource exceeding data according to the traffic resource occupancy rate comparison result, and generating traffic trip allocation suggestions according to the resource traffic exceeding data. According to the intelligent urban traffic resource allocation method, more convenient travel is realized, allocation of intelligent urban traffic resources is realized, traffic resource allocation tension is relieved, and intelligent urban traffic allocation is improved.
Description
Technical Field
The application relates to the technical field of traffic resource allocation, in particular to an Internet-based intelligent city traffic allocation method and system.
Background
The smart city is a new ecological state which is developed by taking the whole course of serving people, the efficient and ordered urban management, the open and shared data, the green open source of economic development and the safe clear network space as main targets, and advancing the advanced integration and iterative evolution of the new generation information technology and the urban modernization through system planning, information leading and reform innovation. The essence is the concrete measures and manifestations which serve people all around.
At present, an important part in smart cities is traffic resource allocation in urban management, and various methods for traffic resource allocation in the market are available, such as a method and a system for realizing reasonable allocation and coordination of traffic hub passenger flow based on mobile phone signaling disclosed in the invention patent with the application number of CN202111147669.X, wherein the system for realizing reasonable allocation and coordination of traffic hub passenger flow based on mobile phone signaling comprises: the system comprises a traffic video camera, a central processing unit, a wireless communicator and a mobile terminal, wherein the central processing unit is provided with a passenger flow volume statistics module, a deployment coordination module, a traffic safety judgment module, a cloud storage module and a display module.
Although the above method can be applied to passenger flow statistics for intelligent buses; meanwhile, the traffic safety judging module is used for constructing the station/line urban rail transit operation safety models oriented to different levels, so that an information-driven urban rail transit network operation safety judging method is formed, but the method still has the defect that the method can only aim at real-time traffic statistics and cannot be used for allocating traffic resources occupied by users who are going to go out or have a travel plan, so that the method is not applicable any more, and the same defects are also caused as the navigation functions of other general navigation software on the market, so that the problems that the users are inconvenient to go out and the traffic resources are not allocated intelligently are obviously seen in the current urban resource allocation.
Disclosure of Invention
Based on the above, it is necessary to provide an internet-based intelligent urban traffic allocation method and system capable of improving the travel convenience of users and realizing intelligent allocation of urban traffic resources.
The technical scheme of the invention is as follows:
an internet-based intelligent urban traffic allocation method, the method comprising:
acquiring first traffic travel resource usage data occupied by a traffic travel plan of each first traffic travel body based on a preset internet information acquisition module, wherein one first traffic travel body has one traffic travel plan, and one traffic travel plan corresponds to one first traffic travel resource usage data; acquiring traffic trip coincidence data of each first traffic trip main body according to each first traffic trip resource use data, and generating current traffic resource occupancy rate according to the traffic trip coincidence data; comparing the current traffic resource occupancy rate with a preset standard resource occupancy rate, and generating a traffic resource occupancy comparison result; and when judging that the current traffic resource occupancy rate exceeds the preset standard resource occupancy rate according to the traffic resource occupancy rate comparison result, generating traffic resource exceeding data according to the traffic resource occupancy rate comparison result, generating traffic trip allocation suggestions according to the resource traffic exceeding data, and transmitting the traffic trip allocation suggestions to each first traffic trip main body based on an Internet technology.
Further, the first traffic travel resource usage data includes an actual travel planning path and an actual travel planning time;
the traffic travel coincidence data comprise a plurality of groups of road section travel data, and each group of road section travel data comprises a current coincidence road section and the number of expected travel subjects corresponding to the current coincidence road section;
acquiring traffic trip coincidence data of each first traffic trip main body according to each first traffic trip resource use data, and generating current traffic resource occupancy rate according to the traffic trip coincidence data; the method specifically comprises the following steps: segmenting an actual travel planning path in each first traffic travel resource usage data based on a preset path segmentation rule, correspondingly generating a plurality of current segmentation road sections, and combining each current segmentation road section split from one first traffic travel resource usage data to obtain a corresponding actual travel planning path; segmenting the actual travel planning time according to each current segmented road section and the actual travel planning time, and correspondingly generating a plurality of road section estimated occupied time, wherein one current segmented road section corresponds to one road section estimated occupied time; comparing the current segmented road sections and screening out the same road sections, wherein the same current segmented road sections are set as initial same road sections; acquiring estimated occupation time of a road section corresponding to each initial same road section, judging whether the estimated occupation time of the acquired road section coincides or not, and setting the estimated occupation time of the coincident road section as contradiction and conflict time; setting the initial identical road section corresponding to the contradictory conflict time as the current coincident road section; setting the number of the first traffic traveling subjects corresponding to the contradiction and conflict time as the number of the expected traveling subjects, wherein the combination of the number of the expected traveling subjects and the current coincident road section is the traffic traveling coincident data; and generating the current traffic resource occupancy rate according to the number of the estimated travel subjects and the current coincident road section.
Further, generating the current traffic resource occupancy rate according to the number of the estimated travel subjects and the current coincident road section specifically includes:
acquiring obstacle points of the current coincident road sections based on a preset road detection device, wherein the obstacle points at least comprise road repairing points and accident points; generating a road obstruction section according to the road repair point and the accident point; generating a blocked road section occupancy rate according to the road blocked road section; and generating a first occupancy rate according to the number of the estimated travel subjects, generating a second occupancy rate according to the current coincident road section, adding the first occupancy rate, the second occupancy rate and the occupancy rate of the obstructing road section, and generating the current traffic resource occupancy rate.
Further, when the current traffic resource occupancy rate exceeds the preset standard resource occupancy rate according to the traffic resource occupancy rate comparison result, traffic resource exceeding data is generated according to the traffic resource occupancy rate comparison result, traffic trip allocation suggestions are generated according to the traffic resource exceeding data, and the traffic trip allocation suggestions are sent to each first traffic trip main body based on an internet technology, and the method specifically comprises the following steps:
When judging that the current traffic resource occupancy rate exceeds the preset standard resource occupancy rate according to the traffic resource occupancy rate comparison result, generating traffic resource exceeding data according to the traffic resource occupancy rate comparison result, and generating a resource allocation instruction according to the traffic resource exceeding data; comparing the traffic resource exceeding data with preset standard data in a preset standard resource matching library according to the resource allocation instruction, and respectively obtaining actual matching values, wherein each preset standard data is provided with a standard resource allocation grade correspondingly; screening out preset standard data matched with the traffic resource exceeding data according to the actual matching values, and setting a standard resource allocation level corresponding to the screened preset standard data as a current resource allocation level; selecting a resource allocation proposal matched with the current resource allocation grade from a preset resource allocation proposal library according to the current resource allocation grade, and setting the selected resource allocation proposal as a traffic trip allocation proposal; and sending the traffic trip allocation advice to each first traffic trip main body based on an internet technology.
Further, first traffic travel resource usage data occupied by traffic travel plans of all first traffic travel subjects are obtained based on a preset internet information collection module, wherein one first traffic travel subject has one traffic travel plan, and one traffic travel plan corresponds to one first traffic travel resource usage data; the method specifically comprises the following steps:
acquiring an initial travel plan of each first traffic travel subject at the current moment based on a preset internet information acquisition module; acquiring road resource use data corresponding to the initial travel plan according to the initial travel plan, wherein the road resource use data is road resource data occupied by the traffic travel plans of other traffic travel subjects before the current moment; generating initial road recommendation data according to the road resource use data, and displaying the initial road recommendation data on the first traffic travel main body; acquiring road selection feedback information of the first traffic trip main body on the initial road recommendation data; generating a current selected road resource according to the road selection feedback information; and generating first traffic travel resource use data according to the currently selected road resource, wherein one first traffic travel body has one traffic travel plan, and one traffic travel plan corresponds to one first traffic travel resource use data.
Further, the invention correspondingly provides an internet-based intelligent urban traffic allocation system, which comprises:
the travel resource acquisition module is used for acquiring first travel resource use data occupied by the travel plans of each first travel principal based on a preset Internet information acquisition module, wherein one first travel principal has one travel plan, and one travel plan corresponds to one first travel resource use data;
the coincidence data generation module is used for acquiring traffic coincidence data of each first traffic main body according to each first traffic resource usage data and generating current traffic resource occupancy rate according to the traffic coincidence data;
the comparison result generation module is used for comparing the current traffic resource occupancy rate with a preset standard resource occupancy rate and generating a traffic resource occupancy comparison result;
and the allocation suggestion generation module is used for generating traffic resource exceeding data according to the traffic resource occupation comparison result when judging that the current traffic resource occupation degree exceeds the preset standard resource occupation degree according to the traffic resource occupation comparison result, generating traffic trip allocation suggestions according to the resource traffic exceeding data, and transmitting the traffic trip allocation suggestions to each first traffic trip main body based on an internet technology.
Further, the coincidence data generating module is further configured to:
segmenting an actual travel planning path in each first traffic travel resource usage data based on a preset path segmentation rule, correspondingly generating a plurality of current segmentation road sections, and combining each current segmentation road section split from one first traffic travel resource usage data to obtain a corresponding actual travel planning path; segmenting the actual travel planning time according to each current segmented road section and the actual travel planning time, and correspondingly generating a plurality of road section estimated occupied time, wherein one current segmented road section corresponds to one road section estimated occupied time; comparing the current segmented road sections and screening out the same road sections, wherein the same current segmented road sections are set as initial same road sections; acquiring estimated occupation time of a road section corresponding to each initial same road section, judging whether the estimated occupation time of the acquired road section coincides or not, and setting the estimated occupation time of the coincident road section as contradiction and conflict time; setting the initial identical road section corresponding to the contradictory conflict time as the current coincident road section; setting the number of the first traffic traveling subjects corresponding to the contradiction and conflict time as the number of the expected traveling subjects, wherein the combination of the number of the expected traveling subjects and the current coincident road section is the traffic traveling coincident data; generating current traffic resource occupancy rate according to the number of the estimated travel subjects and the current coincident road section;
The coincidence data generation module is further configured to:
acquiring obstacle points of the current coincident road sections based on a preset road detection device, wherein the obstacle points at least comprise road repairing points and accident points; generating a road obstruction section according to the road repair point and the accident point; generating a blocked road section occupancy rate according to the road blocked road section; and generating a first occupancy rate according to the number of the estimated travel subjects, generating a second occupancy rate according to the current coincident road section, adding the first occupancy rate, the second occupancy rate and the occupancy rate of the obstructing road section, and generating the current traffic resource occupancy rate.
Further, the allocation proposal generating module is further used for:
when judging that the current traffic resource occupancy rate exceeds the preset standard resource occupancy rate according to the traffic resource occupancy rate comparison result, generating traffic resource exceeding data according to the traffic resource occupancy rate comparison result, and generating a resource allocation instruction according to the traffic resource exceeding data; comparing the traffic resource exceeding data with preset standard data in a preset standard resource matching library according to the resource allocation instruction, and respectively obtaining actual matching values, wherein each preset standard data is provided with a standard resource allocation grade correspondingly; screening out preset standard data matched with the traffic resource exceeding data according to the actual matching values, and setting a standard resource allocation level corresponding to the screened preset standard data as a current resource allocation level; selecting a resource allocation proposal matched with the current resource allocation grade from a preset resource allocation proposal library according to the current resource allocation grade, and setting the selected resource allocation proposal as a traffic trip allocation proposal; and sending the traffic trip allocation advice to each first traffic trip main body based on an internet technology.
A computer device comprising a memory and a processor, said memory storing a computer program, said processor implementing the steps of the internet-based smart city traffic deployment method described above when said computer program is executed.
A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the internet-based smart city traffic deployment method described above.
The invention has the following technical effects:
according to the Internet-based smart city traffic allocation method and system, first traffic travel resource usage data occupied by the traffic travel plans of all the first traffic travel subjects are sequentially acquired through the Internet information acquisition module, wherein one first traffic travel subject has one traffic travel plan, and one traffic travel plan corresponds to one first traffic travel resource usage data; acquiring traffic trip coincidence data of each first traffic trip main body according to each first traffic trip resource use data, and generating current traffic resource occupancy rate according to the traffic trip coincidence data; comparing the current traffic resource occupancy rate with a preset standard resource occupancy rate, and generating a traffic resource occupancy comparison result; when the current traffic resource occupancy rate exceeds the preset standard resource occupancy rate, traffic resource occupancy data are generated according to the traffic resource occupancy rate comparison result, traffic trip allocation suggestions are generated according to the resource traffic occupancy rate comparison result, and the traffic trip allocation suggestions are sent to the first traffic trip main bodies based on the Internet technology.
Drawings
FIG. 1 is a flow chart of an Internet-based intelligent urban traffic allocation method according to an embodiment;
FIG. 2 is a block diagram of an Internet-based intelligent urban traffic distribution system according to one embodiment;
FIG. 3 is an internal block diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
In one embodiment, the invention provides an application scenario of an internet-based smart city traffic allocation method, which comprises an application terminal, wherein the application terminal is used for acquiring first traffic travel resource usage data occupied by traffic travel plans of first traffic travel subjects based on a preset internet information acquisition module, one of the first traffic travel subjects has one traffic travel plan, and one of the traffic travel plans corresponds to one of the first traffic travel resource usage data; acquiring traffic trip coincidence data of each first traffic trip main body according to each first traffic trip resource use data, and generating current traffic resource occupancy rate according to the traffic trip coincidence data; comparing the current traffic resource occupancy rate with a preset standard resource occupancy rate, and generating a traffic resource occupancy comparison result; and when judging that the current traffic resource occupancy rate exceeds the preset standard resource occupancy rate according to the traffic resource occupancy rate comparison result, generating traffic resource exceeding data according to the traffic resource occupancy rate comparison result, generating traffic trip allocation suggestions according to the resource traffic exceeding data, and transmitting the traffic trip allocation suggestions to each first traffic trip main body based on an Internet technology.
The terminal may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices.
In one embodiment, as shown in fig. 1, there is provided an internet-based smart city traffic allocation method, the method comprising:
step S100: acquiring first traffic travel resource usage data occupied by a traffic travel plan of each first traffic travel body based on a preset internet information acquisition module, wherein one first traffic travel body has one traffic travel plan, and one traffic travel plan corresponds to one first traffic travel resource usage data;
specifically, in this step, the first traffic trip subject is a subject to be tripped, or may be understood that the first traffic trip subject is a user having a trip requirement. In order to improve the reliability of the acquired travel data, first travel resource usage data of a plurality of first travel subjects are acquired. In order to realize one-to-one correspondence of the data, it is provided that the one first transportation trip body has one transportation trip plan, and one transportation trip plan corresponds to one first transportation trip resource use data.
Further, in order to promote subsequent traceability of data, every first transportation trip main part all has the main part data label, every main part data label that first transportation trip main part had all is different, and every that corresponds simultaneously the main part data label that first transportation trip main part had all with corresponding transportation trip plan with first transportation trip resource usage data is correlated with, like this through setting up different main part data labels, has promoted the traceability of data.
Step S200: acquiring traffic trip coincidence data of each first traffic trip main body according to each first traffic trip resource use data, and generating current traffic resource occupancy rate according to the traffic trip coincidence data;
specifically, in this step, the traffic overlapping data is data occupying the same traffic resources in the first traffic resource usage data, and the more the occupied resources, the higher the value of the current traffic resource occupancy rate generated according to the traffic overlapping data. Therefore, the traffic trip coincidence data of each first traffic trip main body are obtained according to the traffic trip resource use data, and the current traffic resource occupancy rate is generated according to the traffic trip coincidence data, so that the occupancy rate of the traffic resource is reflected by specific values, and the follow-up intelligent resource allocation is promoted.
Step S300: comparing the current traffic resource occupancy rate with a preset standard resource occupancy rate, and generating a traffic resource occupancy comparison result;
step S400: and when judging that the current traffic resource occupancy rate exceeds the preset standard resource occupancy rate according to the traffic resource occupancy rate comparison result, generating traffic resource exceeding data according to the traffic resource occupancy rate comparison result, generating traffic trip allocation suggestions according to the resource traffic exceeding data, and transmitting the traffic trip allocation suggestions to each first traffic trip main body based on an Internet technology.
Specifically, in this step, firstly, the current traffic resource occupancy is compared with a preset standard resource occupancy, and a traffic resource occupancy comparison result is generated, then when the current traffic resource occupancy exceeds the preset standard resource occupancy according to the traffic resource occupancy comparison result, traffic resource exceeding data are generated according to the traffic resource occupancy comparison result, and traffic trip allocation advice is generated according to the resource traffic exceeding data, and the traffic trip allocation advice is transmitted to each first traffic trip subject based on the internet technology, so that the comparison of the actual resource occupancy and the standard resource occupancy is performed before the resource allocation is performed, and then, whether the current traffic resource occupancy exceeds the preset standard resource occupancy is judged based on the traffic resource occupancy, and when the current traffic resource occupancy is judged to exceed the preset standard resource occupancy, traffic advice is generated according to the traffic resource traffic exceeding data, wherein the traffic trip advice comprises the first traffic trip subject but is not limited to the first traffic trip subject, and the first traffic advice is more convenient and time-consuming to-saving trip advice is realized by the first traffic subject based on the internet, and on the basis of the first traffic trip advice is adjusted, and on the basis of the first traffic trip advice is realized, the intellectualization of urban traffic allocation is improved.
In summary, the first traffic travel resource usage data occupied by the traffic travel plans of the first traffic travel subjects are acquired sequentially through the preset internet information acquisition module, wherein one of the first traffic travel subjects has one traffic travel plan, and one of the traffic travel plans corresponds to one of the first traffic travel resource usage data; acquiring traffic trip coincidence data of each first traffic trip main body according to each first traffic trip resource use data, and generating current traffic resource occupancy rate according to the traffic trip coincidence data; comparing the current traffic resource occupancy rate with a preset standard resource occupancy rate, and generating a traffic resource occupancy comparison result; when the current traffic resource occupancy rate exceeds the preset standard resource occupancy rate, traffic resource occupancy data are generated according to the traffic resource occupancy rate comparison result, traffic trip allocation suggestions are generated according to the resource traffic occupancy rate comparison result, and the traffic trip allocation suggestions are sent to the first traffic trip main bodies based on the Internet technology.
In one embodiment, the first traffic travel resource usage data includes an actual travel planning path and an actual travel planning time;
the traffic travel coincidence data comprise a plurality of groups of road section travel data, and each group of road section travel data comprises a current coincidence road section and the number of expected travel subjects corresponding to the current coincidence road section;
step S200: acquiring traffic trip coincidence data of each first traffic trip main body according to each first traffic trip resource use data, and generating current traffic resource occupancy rate according to the traffic trip coincidence data; the method specifically comprises the following steps:
step S210: segmenting an actual travel planning path in each first traffic travel resource usage data based on a preset path segmentation rule, correspondingly generating a plurality of current segmentation road sections, and combining each current segmentation road section split from one first traffic travel resource usage data to obtain a corresponding actual travel planning path;
in this step, the path segmentation rule includes two types, and the first type is to divide the path into two types according to traffic lights, for example, a road segment is divided between every two traffic lights on a road. The second is to divide the path length into one road section every 2 km. In practical use, the division mode is selected by the person skilled in the art. The first division method is used, for example, in a road section with fewer traffic lights.
Step S220: segmenting the actual travel planning time according to each current segmented road section and the actual travel planning time, and correspondingly generating a plurality of road section estimated occupied time, wherein one current segmented road section corresponds to one road section estimated occupied time;
step S230: comparing the current segmented road sections and screening out the same road sections, wherein the same current segmented road sections are set as initial same road sections;
step S240: acquiring estimated occupation time of a road section corresponding to each initial same road section, judging whether the estimated occupation time of the acquired road section coincides or not, and setting the estimated occupation time of the coincident road section as contradiction and conflict time;
further, when the actual travel planning time is segmented according to the current segmented road segments and the actual travel planning time, and a plurality of road segments are correspondingly generated to estimate the occupied time, the same road segments required by the first traffic traveling main body are screened out, namely, the current segmented road segments are compared and the same road segments are screened out.
And then, obtaining the estimated occupation time of the road sections corresponding to the initial same road sections, judging whether the obtained estimated occupation time of the road sections is coincident, and setting the estimated occupation time of the coincident road sections as contradiction and conflict time. Further, the initial same road section is obtained first, and then whether the estimated occupation time of the road section is coincident or not is judged, so that the screening of the contradiction conflict time is realized.
Further, in this embodiment, taking the first traffic travel body as 2 examples, the first traffic travel body is respectively a body Q1 and a body Q2, the first traffic travel resource usage data corresponding to the traffic travel plans of the body Q1 and the body Q2 respectively have a Q1 current segmented road section and a Q2 current segmented road section, and the Q1 current segmented road section and the Q2 current segmented road section are the same road section, that is, the Q1 current segmented road section and the Q2 current segmented road section are the initial same road section.
Then, the estimated occupation time of the road section of the current segmented road section of the main body Q1 at Q1 is t1-t2, and the estimated occupation time of the road section of the current segmented road section of the main body Q2 at Q2 is also t1-t2, so that whether the obtained estimated occupation time of the road section is coincident or not is judged, and the estimated occupation time t1-t2 of the coincident road section is set as contradiction and conflict time.
And then, setting the initial same road section corresponding to the contradiction conflict time as a current coincident road section, namely setting the q1 current segmented road section and the q2 current segmented road section corresponding to t1-t2 as the current coincident road section.
Then, setting the number of the first traffic traveling subjects corresponding to the contradiction conflict time as the number of the expected traveling subjects, wherein the combination of the number of the expected traveling subjects and the current coincident road section is the traffic traveling coincident data; finally, generating a current traffic resource occupancy rate according to the number of the estimated travel subjects and the current coincident road sections, segmenting the actual travel planning time according to each current segmented road section and the actual travel planning time, correspondingly generating a plurality of road section estimated occupancy times, and comparing each current segmented road section and screening out the same road sections, wherein the same current segmented road section is set as an initial same road section; then, obtaining estimated occupation time of the road sections corresponding to the initial same road sections, judging whether the estimated occupation time of the obtained road sections is coincident, and setting the estimated occupation time of the coincident road sections as contradiction conflict time; then, setting the initial identical road section corresponding to the contradiction conflict time as the current coincident road section; and finally, generating the current traffic resource occupancy rate according to the number of the estimated travel subjects and the current coincident road section, so that the efficient allocation of the follow-up resources is realized by judging how many subjects are based on the same road condition, the allocation of the intelligent urban traffic resources is realized, the shortage of traffic resource allocation is relieved, and the intellectualization of urban traffic allocation is promoted.
Step S250: setting the initial identical road section corresponding to the contradictory conflict time as the current coincident road section;
step S260: setting the number of the first traffic traveling subjects corresponding to the contradiction and conflict time as the number of the expected traveling subjects, wherein the combination of the number of the expected traveling subjects and the current coincident road section is the traffic traveling coincident data;
step S270: and generating the current traffic resource occupancy rate according to the number of the estimated travel subjects and the current coincident road section.
Specifically, in this step, the step of the method,
in one embodiment, step S270: generating the current traffic resource occupancy rate according to the number of the estimated travel subjects and the current coincident road section specifically comprises the following steps:
step S271: acquiring obstacle points of the current coincident road sections based on a preset road detection device, wherein the obstacle points at least comprise road repairing points and accident points;
step S272: generating a road obstruction section according to the road repair point and the accident point;
in this step, if the current coincident road section is four lanes, i.e. A, B, C and D four lanes, then the repair point obtained by detection is located in the lane a, and the duration length is a length, and the a length results in that the lane a cannot pass, so that the lane a can be set as a road blocking road section.
Step S273: generating a blocked road section occupancy rate according to the road blocked road section;
further, the length a in the lane a affects the running and reaches the degree of obstructing the whole lane a, at this time, the lane a is set to be in a completely unavailable state, and the obstructing road section occupancy is obtained by considering the proportion of the lane a occupying the whole currently overlapped road section, so in the embodiment, the obstructing road section occupancy is 25% on the premise that the lane a is a road obstructing road section and the currently overlapped road section is a four-lane.
In practice, the lane a is not completely unavailable, but is set as a completely unavailable road blocking section, which is equivalent to leaving a part of empty lanes, that is, the actual blocking section occupation degree is not 25% but is less than 25%, so that the road pressure can be better relieved by setting, because the road pressure is better relieved according to the road blocking section occupation degree which is higher than the actual blocking section occupation degree in the blending process, which is equivalent to leaving a part of lanes to prevent excessive traffic flow caused by special conditions, further to prevent the occurrence of excessive traffic jam and other problems, and further indirectly improve the distribution efficiency and reliability of traffic resources.
Step S274: and generating a first occupancy rate according to the number of the estimated travel subjects, generating a second occupancy rate according to the current coincident road section, adding the first occupancy rate, the second occupancy rate and the occupancy rate of the obstructing road section, and generating the current traffic resource occupancy rate.
Specifically, in this step, in order to take the road obstacle condition possibly occurring in the travel process into the resource consideration range, and further implement more accurate resource calculation and allocation by considering the road obstacle occupation problem of the road resource in the actual condition, the road obstacle blocking points of each current coincident road section are acquired firstly based on a preset road detection device, where the road obstacle blocking points at least include a road repairing point and an accident point; then generating a road obstruction section according to the road repair point and the accident point; then, generating a blocked road section occupation degree according to the road blocked road section; and finally, generating a first occupancy rate according to the number of the estimated travel subjects, generating a second occupancy rate according to the current coincident road section, adding the first occupancy rate, the second occupancy rate and the occupancy rate of the obstructing road section, and generating the current traffic resource occupancy rate, so that the generation of the current traffic resource occupancy rate is realized by integrating all total resources of the first occupancy rate, the second occupancy rate and the occupancy rate of the obstructing road section, and further greatly improving the breadth of data contained in the current traffic resource occupancy rate, and providing data support for subsequent accurate resource allocation.
In addition, by arranging the road detection device, such as a road detection camera and other image capturing devices including but not limited to, the reliability and accuracy of the obtained obstacle point of the obstacle road are greatly improved, and the road repairing point and the accident point can be intelligently and accurately acquired.
In one embodiment, step S400: when judging that the current traffic resource occupancy rate exceeds the preset standard resource occupancy rate according to the traffic resource occupancy rate comparison result, generating traffic resource exceeding data according to the traffic resource occupancy rate comparison result, generating traffic trip allocation suggestions according to the resource traffic exceeding data, and transmitting the traffic trip allocation suggestions to each first traffic trip main body based on an internet technology, wherein the method specifically comprises the following steps of:
step S410: when judging that the current traffic resource occupancy rate exceeds the preset standard resource occupancy rate according to the traffic resource occupancy rate comparison result, generating traffic resource exceeding data according to the traffic resource occupancy rate comparison result, and generating a resource allocation instruction according to the traffic resource exceeding data;
step S420: comparing the traffic resource exceeding data with preset standard data in a preset standard resource matching library according to the resource allocation instruction, and respectively obtaining actual matching values, wherein each preset standard data is provided with a standard resource allocation grade correspondingly;
Step S430: screening out preset standard data matched with the traffic resource exceeding data according to the actual matching values, and setting a standard resource allocation level corresponding to the screened preset standard data as a current resource allocation level;
step S440: selecting a resource allocation proposal matched with the current resource allocation grade from a preset resource allocation proposal library according to the current resource allocation grade, and setting the selected resource allocation proposal as a traffic trip allocation proposal;
step S450: and sending the traffic trip allocation advice to each first traffic trip main body based on an internet technology.
Specifically, in the step, traffic resource exceeding data is generated according to the traffic resource occupation comparison result, and a resource allocation instruction is generated according to the traffic resource exceeding data; and then comparing the traffic resource exceeding data with preset standard data in a preset standard resource matching library according to the resource allocation instruction, and respectively acquiring actual matching values, so that the comparison based on the traffic resource exceeding data is realized, and the comparison is carried out with the preset standard data in the standard resource matching library, so that the preset standard data matched with the traffic resource exceeding data is screened out according to each actual matching value, the standard resource allocation grade corresponding to the screened preset standard data is set as the current resource allocation grade, the resource allocation proposal scheme matched with the current resource allocation grade can be selected from a preset resource allocation scheme library according to the current resource allocation grade, and the traffic allocation proposal can be sent to each first traffic main body through an Internet technology after the traffic allocation proposal is acquired, wherein the traffic allocation proposal is quickly sent through the Internet technology step, particularly by adopting a mail mode or a SMS mode or a WeChat information mode, so that the information interaction based on the Internet technology is realized, and the efficiency and the convenience of information receiving and transmitting are improved.
In one embodiment, step S100: acquiring first traffic travel resource usage data occupied by a traffic travel plan of each first traffic travel body based on a preset internet information acquisition module, wherein one first traffic travel body has one traffic travel plan, and one traffic travel plan corresponds to one first traffic travel resource usage data; the method specifically comprises the following steps:
step S110: acquiring an initial travel plan of each first traffic travel subject at the current moment based on a preset internet information acquisition module;
step S120: acquiring road resource use data corresponding to the initial travel plan according to the initial travel plan, wherein the road resource use data is road resource data occupied by the traffic travel plans of other traffic travel subjects before the current moment;
step S130: generating initial road recommendation data according to the road resource use data, and displaying the initial road recommendation data on the first traffic travel main body;
step S140: acquiring road selection feedback information of the first traffic trip main body on the initial road recommendation data;
step S150: generating a current selected road resource according to the road selection feedback information;
Step S160: and generating first traffic travel resource use data according to the currently selected road resource, wherein one first traffic travel body has one traffic travel plan, and one traffic travel plan corresponds to one first traffic travel resource use data.
In the step, firstly, in order to acquire road resources occupied by travel plans made by other users before the current moment, after acquiring an initial travel plan of each first traffic travel subject at the current moment based on a preset internet information acquisition module, acquiring road resource usage data corresponding to the initial travel plan according to the initial travel plan, so that more accurate allocation of resources required by the first traffic travel subject can be realized on the basis of the road resource usage data, and then, in order to further intelligently allocate, road selection feedback information of the first traffic travel subject on the initial road recommendation data is acquired; and then generating a current selected road resource according to the road selection feedback information, further realizing more accurate and refined line planning recommendation, and generating first traffic trip resource use data according to the current selected road resource, wherein one first traffic trip main body has one traffic trip plan, and one traffic trip plan corresponds to one first traffic trip resource use data.
In addition, the road selection feedback information includes, but is not limited to, demand information for road planning, such as demand for setting a break point, setting a purchase point, and the like. Compared with the navigation in the prior art, the navigation method and the navigation device directly provide the navigation path, on one hand, the display of the road resource data occupied by the traffic travel plans of other traffic travel subjects before the current moment is set, and on the other hand, the road selection feedback information of the first traffic travel subject on the initial road recommendation data is obtained, so that on the one hand, the data is displayed, on the other hand, the feedback of the user is obtained, and after the navigation method and the navigation device are combined, the flexibility and the convenience which cannot be realized in the navigation in the prior art are realized, and the use effect is greatly improved.
In one embodiment, as shown in fig. 2, the present invention further provides an internet-based smart city traffic allocation system, the system comprising:
the travel resource acquisition module is used for acquiring first travel resource use data occupied by the travel plans of each first travel principal based on a preset Internet information acquisition module, wherein one first travel principal has one travel plan, and one travel plan corresponds to one first travel resource use data;
The coincidence data generation module is used for acquiring traffic coincidence data of each first traffic main body according to each first traffic resource usage data and generating current traffic resource occupancy rate according to the traffic coincidence data;
the comparison result generation module is used for comparing the current traffic resource occupancy rate with a preset standard resource occupancy rate and generating a traffic resource occupancy comparison result;
and the allocation suggestion generation module is used for generating traffic resource exceeding data according to the traffic resource occupation comparison result when judging that the current traffic resource occupation degree exceeds the preset standard resource occupation degree according to the traffic resource occupation comparison result, generating traffic trip allocation suggestions according to the resource traffic exceeding data, and transmitting the traffic trip allocation suggestions to each first traffic trip main body based on an internet technology.
In one embodiment, the coincidence data generation module is further configured to:
segmenting an actual travel planning path in each first traffic travel resource usage data based on a preset path segmentation rule, correspondingly generating a plurality of current segmentation road sections, and combining each current segmentation road section split from one first traffic travel resource usage data to obtain a corresponding actual travel planning path; segmenting the actual travel planning time according to each current segmented road section and the actual travel planning time, and correspondingly generating a plurality of road section estimated occupied time, wherein one current segmented road section corresponds to one road section estimated occupied time; comparing the current segmented road sections and screening out the same road sections, wherein the same current segmented road sections are set as initial same road sections; acquiring estimated occupation time of a road section corresponding to each initial same road section, judging whether the estimated occupation time of the acquired road section coincides or not, and setting the estimated occupation time of the coincident road section as contradiction and conflict time; setting the initial identical road section corresponding to the contradictory conflict time as the current coincident road section; setting the number of the first traffic traveling subjects corresponding to the contradiction and conflict time as the number of the expected traveling subjects, wherein the combination of the number of the expected traveling subjects and the current coincident road section is the traffic traveling coincident data; generating current traffic resource occupancy rate according to the number of the estimated travel subjects and the current coincident road section;
The coincidence data generation module is further configured to:
acquiring obstacle points of the current coincident road sections based on a preset road detection device, wherein the obstacle points at least comprise road repairing points and accident points; generating a road obstruction section according to the road repair point and the accident point; generating a blocked road section occupancy rate according to the road blocked road section; and generating a first occupancy rate according to the number of the estimated travel subjects, generating a second occupancy rate according to the current coincident road section, adding the first occupancy rate, the second occupancy rate and the occupancy rate of the obstructing road section, and generating the current traffic resource occupancy rate.
In one embodiment, the deployment recommendation generation module is further to:
when judging that the current traffic resource occupancy rate exceeds the preset standard resource occupancy rate according to the traffic resource occupancy rate comparison result, generating traffic resource exceeding data according to the traffic resource occupancy rate comparison result, and generating a resource allocation instruction according to the traffic resource exceeding data; comparing the traffic resource exceeding data with preset standard data in a preset standard resource matching library according to the resource allocation instruction, and respectively obtaining actual matching values, wherein each preset standard data is provided with a standard resource allocation grade correspondingly; screening out preset standard data matched with the traffic resource exceeding data according to the actual matching values, and setting a standard resource allocation level corresponding to the screened preset standard data as a current resource allocation level; selecting a resource allocation proposal matched with the current resource allocation grade from a preset resource allocation proposal library according to the current resource allocation grade, and setting the selected resource allocation proposal as a traffic trip allocation proposal; and sending the traffic trip allocation advice to each first traffic trip main body based on an internet technology.
In one embodiment, the travel resource obtaining module is further configured to: acquiring an initial travel plan of each first traffic travel subject at the current moment based on a preset internet information acquisition module; acquiring road resource use data corresponding to the initial travel plan according to the initial travel plan, wherein the road resource use data is road resource data occupied by the traffic travel plans of other traffic travel subjects before the current moment; generating initial road recommendation data according to the road resource use data, and displaying the initial road recommendation data on the first traffic travel main body; acquiring road selection feedback information of the first traffic trip main body on the initial road recommendation data; generating a current selected road resource according to the road selection feedback information; and generating first traffic travel resource use data according to the currently selected road resource, wherein one first traffic travel body has one traffic travel plan, and one traffic travel plan corresponds to one first traffic travel resource use data.
In one embodiment, as shown in fig. 3, a computer device includes a memory and a processor, where the memory stores a computer program, and the processor implements the steps described in the internet-based smart city traffic deployment method when the computer program is executed.
A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the internet-based smart city traffic deployment method described above.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.
Claims (7)
1. An internet-based intelligent urban traffic allocation method, which is characterized by comprising the following steps:
acquiring first traffic travel resource usage data occupied by a traffic travel plan of each first traffic travel body based on a preset internet information acquisition module, wherein one first traffic travel body has one traffic travel plan, and one traffic travel plan corresponds to one first traffic travel resource usage data; acquiring traffic trip coincidence data of each first traffic trip main body according to each first traffic trip resource use data, and generating current traffic resource occupancy rate according to the traffic trip coincidence data; comparing the current traffic resource occupancy rate with a preset standard resource occupancy rate, and generating a traffic resource occupancy comparison result; when judging that the current traffic resource occupancy rate exceeds the preset standard resource occupancy rate according to the traffic resource occupancy rate comparison result, generating traffic resource exceeding data according to the traffic resource occupancy rate comparison result, generating traffic trip allocation suggestions according to the traffic resource exceeding data, and transmitting the traffic trip allocation suggestions to each first traffic trip main body based on an internet technology;
The first traffic travel resource use data comprises an actual travel planning path and an actual travel planning time;
the traffic travel coincidence data comprise a plurality of groups of road section travel data, and each group of road section travel data comprises a current coincidence road section and the number of expected travel subjects corresponding to the current coincidence road section;
acquiring traffic trip coincidence data of each first traffic trip main body according to each first traffic trip resource use data, and generating current traffic resource occupancy rate according to the traffic trip coincidence data; the method specifically comprises the following steps: segmenting an actual travel planning path in each first traffic travel resource usage data based on a preset path segmentation rule, correspondingly generating a plurality of current segmentation road sections, and combining each current segmentation road section split from one first traffic travel resource usage data to obtain a corresponding actual travel planning path; segmenting the actual travel planning time according to each current segmented road section and the actual travel planning time, and correspondingly generating a plurality of road section estimated occupied time, wherein one current segmented road section corresponds to one road section estimated occupied time; comparing the current segmented road sections and screening out the same road sections, wherein the same current segmented road sections are set as initial same road sections; acquiring estimated occupation time of a road section corresponding to each initial same road section, judging whether the estimated occupation time of the acquired road section coincides or not, and setting the estimated occupation time of the coincident road section as contradiction and conflict time; setting the initial identical road section corresponding to the contradictory conflict time as the current coincident road section; setting the number of the first traffic traveling subjects corresponding to the contradiction and conflict time as the number of the expected traveling subjects, wherein the combination of the number of the expected traveling subjects and the current coincident road section is the traffic traveling coincident data; generating current traffic resource occupancy rate according to the number of the estimated travel subjects and the current coincident road section;
Generating the current traffic resource occupancy rate according to the number of the estimated travel subjects and the current coincident road section specifically comprises the following steps:
acquiring obstacle points of the current coincident road sections based on a preset road detection device, wherein the obstacle points at least comprise road repairing points and accident points; generating a road obstruction section according to the road repair point and the accident point; generating a blocked road section occupancy rate according to the road blocked road section; and generating a first occupancy rate according to the number of the estimated travel subjects, generating a second occupancy rate according to the current coincident road section, adding the first occupancy rate, the second occupancy rate and the occupancy rate of the obstructing road section, and generating the current traffic resource occupancy rate.
2. The internet-based smart city traffic allocation method according to claim 1, wherein when the current traffic resource occupancy exceeds a preset standard resource occupancy according to the traffic resource occupancy comparison result, traffic resource occupancy data is generated according to the traffic resource occupancy comparison result, traffic trip allocation suggestions are generated according to the resource traffic occupancy data, and the traffic trip allocation suggestions are sent to each of the first traffic trip subjects based on an internet technology, and the method specifically comprises:
When judging that the current traffic resource occupancy rate exceeds the preset standard resource occupancy rate according to the traffic resource occupancy rate comparison result, generating traffic resource exceeding data according to the traffic resource occupancy rate comparison result, and generating a resource allocation instruction according to the traffic resource exceeding data; comparing the traffic resource exceeding data with preset standard data in a preset standard resource matching library according to the resource allocation instruction, and respectively obtaining actual matching values, wherein each preset standard data is provided with a standard resource allocation grade correspondingly; screening out preset standard data matched with the traffic resource exceeding data according to the actual matching values, and setting a standard resource allocation level corresponding to the screened preset standard data as a current resource allocation level; selecting a resource allocation proposal matched with the current resource allocation grade from a preset resource allocation proposal library according to the current resource allocation grade, and setting the selected resource allocation proposal as a traffic trip allocation proposal; and sending the traffic trip allocation advice to each first traffic trip main body based on an internet technology.
3. The internet-based smart city traffic allocation method according to claim 2, wherein first traffic travel resource usage data occupied by a traffic travel plan of each first traffic travel subject is acquired based on a preset internet information acquisition module, wherein one of the first traffic travel subjects has one traffic travel plan, and one of the traffic travel plans corresponds to one of the first traffic travel resource usage data; the method specifically comprises the following steps:
acquiring an initial travel plan of each first traffic travel subject at the current moment based on a preset internet information acquisition module; acquiring road resource use data corresponding to the initial travel plan according to the initial travel plan, wherein the road resource use data is road resource data occupied by the traffic travel plans of other traffic travel subjects before the current moment; generating initial road recommendation data according to the road resource use data, and displaying the initial road recommendation data on the first traffic travel main body; acquiring road selection feedback information of the first traffic trip main body on the initial road recommendation data; generating a current selected road resource according to the road selection feedback information; and generating first traffic travel resource use data according to the currently selected road resource, wherein one first traffic travel body has one traffic travel plan, and one traffic travel plan corresponds to one first traffic travel resource use data.
4. An internet-based intelligent urban traffic allocation system, the system comprising:
the travel resource acquisition module is used for acquiring first travel resource use data occupied by the travel plans of each first travel principal based on a preset Internet information acquisition module, wherein one first travel principal has one travel plan, and one travel plan corresponds to one first travel resource use data;
the coincidence data generation module is used for acquiring traffic coincidence data of each first traffic main body according to each first traffic resource usage data and generating current traffic resource occupancy rate according to the traffic coincidence data;
the comparison result generation module is used for comparing the current traffic resource occupancy rate with a preset standard resource occupancy rate and generating a traffic resource occupancy comparison result;
the allocation suggestion generation module is used for generating traffic resource exceeding data according to the traffic resource occupation comparison result when judging that the current traffic resource occupation degree exceeds the preset standard resource occupation degree according to the traffic resource occupation comparison result, generating traffic trip allocation suggestions according to the traffic resource exceeding data, and sending the traffic trip allocation suggestions to each first traffic trip main body based on an internet technology;
The coincidence data generation module is further configured to:
segmenting an actual travel planning path in each first traffic travel resource usage data based on a preset path segmentation rule, correspondingly generating a plurality of current segmentation road sections, and combining each current segmentation road section split from one first traffic travel resource usage data to obtain a corresponding actual travel planning path; segmenting the actual travel planning time according to each current segmented road section and the actual travel planning time, and correspondingly generating a plurality of road section estimated occupied time, wherein one current segmented road section corresponds to one road section estimated occupied time; comparing the current segmented road sections and screening out the same road sections, wherein the same current segmented road sections are set as initial same road sections; acquiring estimated occupation time of a road section corresponding to each initial same road section, judging whether the estimated occupation time of the acquired road section coincides or not, and setting the estimated occupation time of the coincident road section as contradiction and conflict time; setting the initial identical road section corresponding to the contradictory conflict time as the current coincident road section; setting the number of the first traffic traveling subjects corresponding to the contradiction and conflict time as the number of the expected traveling subjects, wherein the combination of the number of the expected traveling subjects and the current coincident road section is the traffic traveling coincident data; generating current traffic resource occupancy rate according to the number of the estimated travel subjects and the current coincident road section;
The coincidence data generation module is further configured to:
acquiring obstacle points of the current coincident road sections based on a preset road detection device, wherein the obstacle points at least comprise road repairing points and accident points; generating a road obstruction section according to the road repair point and the accident point; generating a blocked road section occupancy rate according to the road blocked road section; and generating a first occupancy rate according to the number of the estimated travel subjects, generating a second occupancy rate according to the current coincident road section, adding the first occupancy rate, the second occupancy rate and the occupancy rate of the obstructing road section, and generating the current traffic resource occupancy rate.
5. The internet-based intelligent urban traffic allocation system according to claim 4, wherein the allocation proposal generation module is further configured to:
when judging that the current traffic resource occupancy rate exceeds the preset standard resource occupancy rate according to the traffic resource occupancy rate comparison result, generating traffic resource exceeding data according to the traffic resource occupancy rate comparison result, and generating a resource allocation instruction according to the traffic resource exceeding data; comparing the traffic resource exceeding data with preset standard data in a preset standard resource matching library according to the resource allocation instruction, and respectively obtaining actual matching values, wherein each preset standard data is provided with a standard resource allocation grade correspondingly; screening out preset standard data matched with the traffic resource exceeding data according to the actual matching values, and setting a standard resource allocation level corresponding to the screened preset standard data as a current resource allocation level; selecting a resource allocation proposal matched with the current resource allocation grade from a preset resource allocation proposal library according to the current resource allocation grade, and setting the selected resource allocation proposal as a traffic trip allocation proposal; and sending the traffic trip allocation advice to each first traffic trip main body based on an internet technology.
6. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 3 when the computer program is executed.
7. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 3.
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