CN102353380A - Road condition prediction and query system and method - Google Patents
Road condition prediction and query system and method Download PDFInfo
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- CN102353380A CN102353380A CN2011101852611A CN201110185261A CN102353380A CN 102353380 A CN102353380 A CN 102353380A CN 2011101852611 A CN2011101852611 A CN 2011101852611A CN 201110185261 A CN201110185261 A CN 201110185261A CN 102353380 A CN102353380 A CN 102353380A
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Abstract
The invention provides a road condition prediction and query method and a road condition prediction and query system. The road condition prediction and query method comprises the following steps of: receiving a road condition prediction and query request which at least corresponds to a specific time period from the beginning time to the end time; acquiring a related path preengage program result based on the specific time period; and carrying out road condition prediction based on the related path preengage program result so as to generate a road condition prediction result.
Description
Technical field
The present invention relates to a kind of path planning technology, especially relate to prediction of a kind of path and inquiry system and method.
Background technology
At present, the vehicle spreading speed is very fast, and the required traffic capacity of the vehicle in nearly all city all surpasses the actual increase-volume amount of urban transportation, and the traffic congestion phenomenon is of common occurrence.
And, the lasting raising of sustained and rapid development of economy and people's living standard, the speedup of all trades and professions and privately owned vehicle is also more and more faster, and is also increasingly high to the requirement of the path planning of trip.It is fewer and feweri that yet development of city causes can be used for the land used that urban transportation builds, also increasing with the contradiction that the traffic dilatation is actual required, certainly will cause more serious and more frequent traffic congestion phenomenon.
The phenomenon of traffic congestion not only can reduce the efficient of logistics greatly, wastes people's great amount of time, influences people's mood, causes accident to take place frequently, and also can waste a large amount of energy, discharges a large amount of tail gas, and contaminated environment causes various adverse consequencess.
The application that planning technology is preengage in a kind of emerging path will effectively improve the service efficiency with the balance urban traffic road, can effectively reduce the frequency and the seriousness of traffic congestion.This path main function of reservation planning technology is that all types of user or industry can be preengage a preferable driving path that can arrive the destination from starting point in advance according to plan, and the path reservation program results that this reserve route is corresponding is mainly calculated through the current total amount of road, existing path reservation program results and other traffic informations according to the path by specific server and forms.
This emerging path reservation planning technology is dynamically updating of support path reservation program results also, and the reservation program results is generated between the actual use because special circumstances cause this path reservation program results correspondence driving path from the starting point to the destination is not the situation of a more optimal way in the path with the reply traffic information.
But; This emerging path reservation planning technology does not provide road condition predicting and query function for all trades and professions or individual; There is not relevant reference information to supply the user to work out effective driving plan; The user preengages failure probably, and perhaps the corresponding starting point of the path of gained reservation program results is longer than the path that reality can reach greatly to the path of destination.
Summary of the invention
The technical matters that the present invention solves is to provide a kind of road condition predicting and inquiry system and method, can reference information that work out the driving plan be provided for all trades and professions or private user, helps improving validity and the practicality that program results is preengage in the path.
A kind of road condition predicting and querying method that embodiment of the present invention provides comprise: receive road condition predicting and query requests, the certain period of time of corresponding at least start time and concluding time appointment in the described request; Obtain relevant path reservation program results based on said certain period of time; Based on said relevant path reservation program results, carry out road condition predicting, generate the road condition predicting result.
The said road condition predicting that carries out comprises: based on said associated pathway reservation program results, the reservation magnitude of traffic flow of relevant road segments generates the road condition predicting result in the said path reservation of the analytical calculation program results.
Also comprise: obtain other traffic informations such as relevant historical traffic data and incident based on said certain period of time; Said road condition predicting is also based on other traffic informations such as said relevant historical traffic data and incidents.
The said road condition predicting that carries out comprises: based on said associated pathway reservation program results, and the reservation magnitude of traffic flow of relevant road segments in the said path reservation of the analytical calculation program results; Based on other traffic informations such as said relevant historical traffic data and incidents, the historical traffic flows of relevant road segments in the said path reservation of the analytical calculation program results; Based on the said reservation magnitude of traffic flow and historical traffic flows, generate the prediction magnitude of traffic flow of said relevant road segments by certain weight, generate the road condition predicting result.
Also comprise: other traffic informations such as program results corresponding historical traffic data and incident are preengage in the non-path that regularly obtains all highway sections, generate basic road condition predicting information based on said other traffic informations; Based on the analytical calculation of said associated pathway reservation program results, generate said road condition predicting result after, from said basic road condition predicting information, obtain other relevant basic road condition predicting information according to said certain period of time again; Based on said other relevant basic road condition predicting information, analyze the historical traffic flows of relevant road segments; Based on the historical traffic flows of said relevant road segments, by certain weight, revise the road condition predicting result who generates based on said relevant path reservation program results, generate final road condition predicting result.
Also comprise: based on the analytical calculation of said associated pathway reservation program results, generate said road condition predicting result after, obtain other traffic informations such as relevant historical traffic data and incident according to said certain period of time again; Based on said other relevant basic road condition predicting information, analyze the historical traffic flows of relevant road segments; Based on the historical traffic flows of said relevant road segments, by certain weight, revise the road condition predicting result who generates based on said relevant path reservation program results, generate final road condition predicting result.
Also comprise: said road condition predicting and query requests also comprise starting point, destination and/or the intermediate point that identifies road section information, perhaps territorial scope.
Said road condition predicting also comprises: the information based on sign highway section in said road condition predicting and the query requests is obtained the correlation map data; The said relevant path reservation program results that obtains is also based on said correlation map data; Said other traffic informations such as relevant historical traffic data and incident that obtain are also based on described correlation map data.
Embodiment of the present invention also provides a kind of road condition predicting and inquiry system, comprising: the path planning database is used to road condition predicting reservation program results in path is provided; Server is used to receive road condition predicting and query requests, and described request comprises start time and concluding time at least; Realize road condition predicting, according to described request, from the path planning database, obtain associated pathway reservation program results, the highway section reservation flow based on said associated pathway reservation program results analytical calculation relevant road segments generates the road condition predicting result; Send the road condition predicting result to designated equipment.
Also comprise: at least one road condition data storehouse, comprise real time traffic data storehouse, historical traffic database, event database and weather data storehouse, other traffic informations such as historical traffic data and event data are provided for road condition predicting; Said road condition predicting also obtains the historical traffic data and the event data of relevant road segments from least one road condition data storehouse; Based on said historical traffic data and event data, the historical traffic flows of analytical calculation relevant road segments; Based on the historical traffic flows of said relevant road segments,, said road condition predicting result is revised by certain weight.
Also comprise: map data base, for road condition predicting provides map datum; In said road condition predicting and the query requests also the information of carrying starting point, destination and/or intermediate point are arranged, perhaps highway section identification information such as territorial scope; Said road condition predicting also from map data base inquiry with said in the relevant map datum of relevant road segments that identifies in the request; Said relevant route programming result is also inquired about from the path planning database and is got based on said correlation map data; The historical traffic data of said relevant road segments and event data are also inquired about from least one road condition data storehouse and are got based on said correlation map data.
Said path planning database part is deployed in server this locality and perhaps and between the server realizes alternately through network; Said at least one road condition data storehouse is deployed in server this locality and perhaps and between the server realizes alternately through network; Said map data base is deployed in server this locality and perhaps and between the server realizes alternately through network.
Also comprise: be suitable for the call center system with the coupling of said server, be used for receipt of call and send request, feed back the road condition predicting result that said server generates to said server.
Compare with prior art; The beneficial effect of the road condition predicting of embodiment of the present invention and inquiry system and method is: the reference information of working out the driving plan is provided for all trades and professions or private user; Help avoiding the peak that blocks up; Work out optimum driving plan, effectively improve the validity and the practicality of path reservation program results, have to utilize and reduce driving planned time cost and financial cost; Can valuable information be provided for dredging of urban transportation; Can also be for Urban Traffic Planning provide valuable reference data, the design of optimizing urban traffic route.
Description of drawings
Fig. 1 is the road condition predicting of embodiment of the present invention and a kind of road condition predicting and the inquiry system synoptic diagram of querying method;
Fig. 2 is the synoptic diagram of a kind of embodiment of road condition predicting of the present invention and querying method;
Fig. 3 is the synoptic diagram of the another kind of embodiment of road condition predicting of the present invention and querying method;
Fig. 4 is the synoptic diagram of the another kind of embodiment of road condition predicting of the present invention and querying method;
Fig. 5 is the road condition predicting of embodiment of the present invention and the another kind of road condition predicting and the inquiry system synoptic diagram of querying method;
Fig. 6 is the synoptic diagram of another kind of embodiment of road condition predicting and the querying method of embodiment of the present invention.
Embodiment
A kind of road condition predicting and inquiry system and method that the present invention implements can provide the reference information of working out the driving plan for all trades and professions or private user, are mainly used in to solve the path and preengage the defective in planning system and the method.
In path reservation planning system and method; The foundation and the storage of path reservation program results only are provided; There is not relevant reference information to supply the user to work out effective driving plan; The user preengages failure probably, and perhaps the corresponding starting point of the path of gained reservation program results is longer than the path that reality can reach greatly to the path of destination, and this has just reduced the usability and the practicality of path reservation program results.
A kind of road condition predicting and inquiry system and method that the present invention implements can provide the road condition predicting information in a period of time, and the user can select window of opportunity with reference to the road conditions information of forecasting when working out the driving plan, avoid the peak, to work out optimum driving plan.
A kind of road condition predicting and inquiry system and method that the present invention implements can also provide valuable information for dredging of urban transportation, for the construction of urban transportation provides valuable reference information.
With reference to figure 1, be the road condition predicting of embodiment of the present invention and a kind of road condition predicting and the inquiry system synoptic diagram of querying method.
In said road condition predicting and the inquiry system, comprise display device 101, traffic system server 102, server 103 and path planning database 104 and other application data bases 105.
Wherein, can connect through diverse network between display device 101 and the transportation server 102, realize data communication.Said network can adopt existing diverse network technology to implement, and this does not give unnecessary details.During practical implementation, can adopt B/S (Browse/Server) or C/S (Client/Server) framework between said access device 101 and the traffic system server 102.
Said path planning database 104 is respectively traffic system server 102 with other application data bases 105 and with server 103 path planning record data and other traffic information data is provided, and realizes road condition predicting with auxiliary said server 102.
In the embodiment of the present invention; Said road condition predicting and inquiry are meant; Traffic system server 102 sends road condition predicting and query requests according to demand to server 103; Server 103 comprehensively generates the new more comprehensive road condition predicting information of ratio according to the information in said road condition predicting and the query requests inquiry associated pathway reservation program results and historical traffic information from path planning database 104 and other application data bases 105 according to certain proportion.
In concrete the realization, display device 101 can be the electronic equipment that possesses data processing and communication function, like PC terminal and other display terminals etc.
Wherein, the path reservation program results that generates before the storage in the path planning database 104.In concrete the realization, can adopt the mode of path planning record to store said path reservation program results.For saving resource, improve data processing efficiency, can only store the current path planning record that remains valid.
Usually, in the paths plan record, information such as starting point, destination, zero-time can be comprised, information such as running time, average velocity and expense can also be comprised.In addition; The multistage route programming result information that can also comprise intermediate point in the path planning record; Comprise interim point information, segmentation speed per hour, segmentation running time and sectional charge etc., segmentation speed per hour, segmentation running time and sectional charge are that item is informed in optional requirement.
Other application data bases 105 provide other traffic informations for road condition predicting; Include but not limited to real time traffic data storehouse, historical traffic database and incident and weather data storehouse etc.; Related data can be obtained through sensor acquisition terminal and other data collection stations (being primarily aimed at real-time traffic or accident); Also can obtain, can also import by the user through the data server of partner.
The overall procedure of a kind of embodiment of road condition predicting and inquiry is; Traffic system server 102 sends road condition predicting and query requests to server 103; Server 103 is according to the solicited message of receiving inquiry associated pathway reservation program results and other traffic informations from path planning database 104 and other application data bases 105; By the new more comprehensive traffic information of ratio of the comprehensive generation of certain weight; The traffic information that generates is sent to display device 101, and display device 101 presents the traffic information of receiving to the client.
With reference to figure 2, a kind of embodiment of said road condition predicting of the present invention and querying method comprises:
Step S101, traffic system server 102 sends road condition predicting and query requests to server 103.
Can carry the information of special time periods such as necessary start time and concluding time in said road condition predicting and the query requests.
Said certain period of time can comprise in the past, present or future.
Step S102 after server 103 is received road condition predicting and query requests, inquires about relevant path according to information such as start time in said road condition predicting and the query requests and concluding times and preengages program results from path planning database 104.
Step S103, server 103 obtains other traffic informations such as relevant historical average data and event data according to information such as start time in road condition predicting described in road condition predicting and the query requests and the query requests and concluding times from other databases 105.
Step S104, server 103 generates required road condition predicting result according to the traffic informations such as path reservation program results, historical average certificate and event data that obtain according to certain weight.
A kind of implementation method that generates required road condition predicting result can be the said associated pathway reservation of analytical calculation program results, the reservation magnitude of traffic flow of acquisition relevant road segments; Likewise, based on other traffic informations such as said relevant historical average data and event data, the historical traffic flows of analytical calculation relevant road segments; According to the said reservation magnitude of traffic flow and historical traffic flows, be created in said road condition predicting and the query requests prediction magnitude of traffic flow of relevant road segments on the fixed time section by certain weight, as the road condition predicting result.
Step S105, server 103 returns the road condition predicting result to traffic system server 102.
Step S106, traffic system server 102 sends this road condition predicting result to display device 101.
The overall procedure of the another kind of embodiment of road condition predicting mechanism is that traffic system server 102 regularly obtains historical average certificate and event data from other application data bases, generate basic road condition predicting information; Traffic system server 102 sends road condition predicting and query requests to server 103; Server 103 is inquired about associated pathway reservation program results according to the solicited message of receiving from path planning database 104; Generate the road condition predicting result according to associated pathway reservation program results; Server 103 sends to traffic system server 102 with this result; The road condition predicting result that traffic system server 102 is received according to the basic road condition predicting information correction that regularly generates sends to display device 101 with revised road condition predicting result, and display device 101 presents with the mode of tabulation and/or figure the road condition predicting result who receives to the client.
With reference to figure 3, the another kind of embodiment of said road condition predicting of the present invention and querying method comprises:
Step S201, traffic system server 102 regularly obtains historical average certificate and event data from other application data bases, generate basic road condition predicting information.
Said basic road condition predicting information can comprise the prediction magnitude of traffic flow of all highway sections based on historical traffic flows and incident generation.
Step S202, traffic system server 102 sends road condition predicting and query requests to server 103.
Can carry the information of special time periods such as necessary start time and concluding time in said road condition predicting and the query requests.
Said certain period of time can comprise in the past, present or future.
Step S203 after server 103 is received road condition predicting and query requests, inquires about relevant path according to information such as start time in said road condition predicting and the query requests and concluding times and preengages program results from path planning database 104.
Step S204, server 103 generates part road condition predicting result according to the relevant path reservation program results that obtains.
A kind of implementation method that generates part road condition predicting result can be that the said associated pathway of analytical calculation is preengage program results, obtains the prediction magnitude of traffic flow of relevant road segments, should predict that the magnitude of traffic flow was as part road condition predicting result.
Step S205, server 103 is to traffic system server 102 returning part road condition predicting results.
Step S206, traffic system server 102 revise the part road condition predicting result who receives from server 102 according to the basic road condition predicting information that regularly generates.
A kind of implementation method that generates the road condition predicting result can be; Transportation server 102 obtains the basic road condition predicting result of relevant road segments from said basic road condition predicting information based on information such as start time and concluding time in said road condition predicting and the query requests; This basic road condition predicting result of foundation and the said part road condition predicting result who receives from server 103; Re-generate the prediction magnitude of traffic flow of relevant road segments by certain ratio, as required road condition predicting result.
Step S207, the road condition predicting result that traffic system server 102 sends to display device 101.
The overall procedure of the another kind of embodiment of road condition predicting mechanism is; Traffic system server 102 sends road condition predicting and query requests to server 103; Server 103 is inquired about the associated pathway plan record according to the solicited message of receiving from path planning database 104; Generate the road condition predicting information result according to the associated pathway plan record; Server 103 sends to traffic system server 102 with this result, traffic system server 102 according to the historical average certificate of from other application data bases, obtaining and event data corrected received to the road condition predicting result, by the new more comprehensive traffic information of ratio of the comprehensive generation of certain weight; The traffic information that generates is sent to display device 101, and display device 101 presents the traffic information of receiving to the client.
With reference to figure 4, the another kind of embodiment of said road condition predicting of the present invention and querying method comprises:
Step S301, traffic system server 102 sends road condition predicting and query requests to server 103.
Can carry the information of special time periods such as necessary start time and concluding time in said road condition predicting and the query requests.
Said certain period of time can comprise in the past, present or future.
Step S302 after server 103 is received road condition predicting and query requests, inquires about the path relevant with the request of reception according to information such as the start time in said road condition predicting and the query requests and concluding times and preengages program results from path planning database 104.
Step S303, server 103 generates part road condition predicting result according to the path reservation program results that obtains.
A kind of implementation method that generates part road condition predicting result can be that the said associated pathway of analytical calculation is preengage program results, obtains the prediction magnitude of traffic flow of relevant road segments, should predict that the magnitude of traffic flow was as part road condition predicting result.
Step S304, server 103 is to traffic system server 102 returning part road condition predicting results.
Step S305, traffic system server 102 obtain the historical average certificate and the event data of relevant road segments from other application data bases according to information such as start time and concluding time in said road condition predicting and the query requests.
Step S306, traffic system server 102 revise the part road condition predicting result who receives from server 102 according to obtain other traffic informations such as relevant historical average certificate and event data.
Implementation method according to the said part road condition predicting of other traffic information corrections results such as said relevant historical average certificate and event datas can be; Based on other traffic informations such as said relevant historical average data of obtaining and event datas; Analytical calculation obtains the historical traffic flows of relevant road segments; According to the reservation magnitude of traffic flow among said historical traffic flows and the said part road condition predicting result, by the prediction magnitude of traffic flow of certain weight generation relevant road segments, as the road condition predicting result.
Step S307, traffic system server 102 sends this road condition predicting result to display device 101.
With reference to figure 5, be the road condition predicting of embodiment of the present invention and the another kind of road condition predicting and the inquiry system synoptic diagram of querying method.
In the said road condition query method system, comprise access device 201, server 202 and map data base 203 and path planning database 204 based on the existing route program results.
Wherein, can connect through diverse network between access device 201 and the server 202, realize data communication.Said network can adopt existing diverse network technology to implement, and this does not give unnecessary details.During practical implementation, can adopt B/S (Browse/Server) or C/S (Client/Server) framework between said access device 201 and the server 202.
Said map data base 203 is respectively server 202 with path planning database 204 provides map datum and path planning record data, with the road condition query of auxiliary said server 202 realizations based on the existing route program results.
In the embodiment of the present invention; Said road condition predicting and querying method are meant; Server 202 obtains relevant map datum and path reservation program results based on described request behind the road condition predicting and query requests that receive from access device 201, generate the traffic information result.
Using the user of access device 201 can be various roles such as domestic consumer, industry user, government customer.
In concrete the realization, access device 201 can be the electronic equipment that possesses data processing and communication function, in-vehicle navigation apparatus terminal for example, PC terminal and portable terminal etc.
Wherein, map data base 203 is used for store map data.Said map data base can be that the operator of server 202 is owned, also can be to be provided to the operator of server 202 by map datum provider.Provide in map datum provider under the situation of map data base, the operator of server 202 can further put in order and process map datum, to adapt to demand for services.
The path reservation program results that generates before the storage in the path planning database 204.In concrete the realization, can adopt the mode of path planning record to store said path reservation program results.For saving resource, improve data processing efficiency, can only store the current path planning record that remains valid.
Usually, in the paths plan record, information such as starting point, destination, zero-time can be comprised, information such as running time, average velocity and expense can also be comprised.In addition; The multistage route programming result information that can also comprise intermediate point in the path planning record; Comprise interim point information, segmentation speed per hour, segmentation running time and sectional charge etc., segmentation speed per hour, segmentation running time and sectional charge are that item is informed in optional requirement.
In the implementation process of road condition predicting and querying method; Generally be that access device 201 sends instruction to server 202; Server 202 is according to instruction manipulation map data base that receives 203 and path planning database 204; Set up the road condition predicting result, server 102 sends the road condition predicting results to access device 201 afterwards, and access device 201 presents the result to the user.
With reference to figure 6, the another kind of embodiment of said road condition predicting of the present invention and querying method comprises:
Step S401, access device 201 send the road condition predicting and the query requests in certain highway section to server 202.
Can carry necessary destination and starting point, start time and concluding time etc. in said road condition predicting and the query requests identifies the information of highway section characteristic and special time period.
Said special time period can comprise in the past, present or future.
Step S402, server 202 from map data base 203, inquire about with said road condition predicting and query requests in the correlation map data of starting point to the possible path of destination.
Step S403 after server 203 is received road condition predicting and query requests, preengages program results according to information such as the start time in said map datum and the described request and concluding times from path planning database 204, inquiring about relevant path.
Step S404, server 202 generates required road condition predicting result according to the relevant map datum and the path reservation program results of inquiry gained.
Said generation road condition predicting result's implementation method can be; Based on said correlation map data of obtaining and associated pathway reservation program results; Can generate the road condition predicting result through analyzing and calculate the at the appointed time reservation magnitude of traffic flow on the section of relevant road segments.
Step S405, server 202 returns the road condition predicting result to access device 101.
Step S406, access device 201 presents traffic information with tabulation and/or figure to the user.
In said road condition predicting and the query requests, can also replace destination and start point information with the mode of region.Corresponding therewith, in step S402, server 202 from map data base 203, inquire about with this region in the relevant map datum in all highway sections; In step S403, server 202 will be according to the information such as time period of appointment in said relevant map datum and the described request, from path planning database 204, obtain with this region in the relevant path reservation program results in all highway sections; In step S404, the required road condition predicting result's of said generation implementation method also will be according to obtaining associated pathway reservation program results and map datum, and the reservation magnitude of traffic flow in all highway sections in this region of analytical calculation is as the road condition predicting result.
It will be appreciated by those skilled in the art that; Similar with above-mentioned embodiment, in the process of said road condition predicting, the historical traffic data and the event data of the relevant road segments that can also from other application data bases, obtain; Based on the historical traffic data of relevant road segments and the historical traffic flows of event data analytical calculation relevant road segments; Based on the historical traffic flows of relevant road segments, by certain former road condition predicting result of weight correction, this does not give unnecessary details.
Those skilled in the art will appreciate that with above-mentioned embodiment similar, when adopting call center system (figure does not show) as a kind of access approach; The user is through call center system and server interaction road condition predicting and query statement; Mutual road condition predicting object information, and road condition predicting and query statement that associated server also can the receipt of call centring system generate the road condition predicting result; To call center system or access device or display device transmission road condition predicting result, this does not give unnecessary details.
Though the present invention through the preferred embodiment explanation as above, these preferred embodiments are not in order to limit the present invention.Those skilled in the art is not breaking away from the spirit and scope of the present invention, should have the ability various corrections and additional are made in this preferred embodiment, and therefore, protection scope of the present invention is as the criterion with the scope of claims.And the implication of the term of using among the present invention, words and claim can not only limit to its literal and common implication and go to understand, and also should comprise the implication and the notion that conform to technology of the present invention.
Claims (13)
1. road condition predicting and querying method is characterized in that, comprising:
Receive road condition predicting and query requests, the certain period of time of corresponding at least start time and concluding time appointment in the described request;
Obtain relevant path reservation program results based on said certain period of time;
Based on said relevant path reservation program results, carry out road condition predicting, generate the road condition predicting result.
2. road condition predicting as claimed in claim 1 and querying method is characterized in that, the said road condition predicting that carries out comprises:
Based on said associated pathway reservation program results, the reservation magnitude of traffic flow of relevant road segments generates the road condition predicting result in the said path reservation of the analytical calculation program results.
3. road condition predicting as claimed in claim 1 and querying method is characterized in that, also comprise:
Obtain other traffic informations such as relevant historical traffic data and incident based on said certain period of time;
Said road condition predicting is also based on other traffic informations such as said relevant historical traffic data and incidents.
4. road condition predicting as claimed in claim 3 and querying method is characterized in that, the said road condition predicting that carries out comprises:
Based on said associated pathway reservation program results, the reservation magnitude of traffic flow of relevant road segments in the said path reservation of the analytical calculation program results;
Based on other traffic informations such as said relevant historical traffic data and incidents, the historical traffic flows of relevant road segments in the said path reservation of the analytical calculation program results;
Based on the said reservation magnitude of traffic flow and historical traffic flows, generate the prediction magnitude of traffic flow of said relevant road segments by certain weight, generate the road condition predicting result.
5. according to claim 1 or claim 2 road condition predicting and querying method is characterized in that, also comprises:
Regularly obtain the non-path in all highway sections and preengage other traffic informations such as program results corresponding historical traffic data and incident, generate basic road condition predicting information based on said other traffic informations;
Based on the analytical calculation of said associated pathway reservation program results, generate said road condition predicting result after, from said basic road condition predicting information, obtain other relevant basic road condition predicting information according to said certain period of time again;
Based on said other relevant basic road condition predicting information, analyze the historical traffic flows of relevant road segments;
Based on the historical traffic flows of said relevant road segments, by certain weight, revise the road condition predicting result who generates based on said relevant path reservation program results, generate final road condition predicting result.
6. according to claim 1 or claim 2 road condition predicting and querying method is characterized in that, also comprises:
Based on the analytical calculation of said associated pathway reservation program results, generate said road condition predicting result after, obtain other traffic informations such as relevant historical traffic data and incident according to said certain period of time again;
Based on said other relevant basic road condition predicting information, analyze the historical traffic flows of relevant road segments;
Based on the historical traffic flows of said relevant road segments, by certain weight, revise the road condition predicting result who generates based on said relevant path reservation program results, generate final road condition predicting result.
7. like each described road condition predicting and querying method in the claim 1 to 4, it is characterized in that, also comprise:
Said road condition predicting and query requests also comprise starting point, destination and/or the intermediate point that identifies road section information, perhaps territorial scope.
8. road condition predicting as claimed in claim 7 and querying method is characterized in that, said road condition predicting also comprises:
Information based on sign highway section in said road condition predicting and the query requests is obtained the correlation map data;
The said relevant path reservation program results that obtains is also based on said correlation map data;
Said other traffic informations such as relevant historical traffic data and incident that obtain are also based on described correlation map data.
9. road condition predicting and inquiry system is characterized in that, comprising:
The path planning database is used to road condition predicting reservation program results in path is provided;
Server is used to receive road condition predicting and query requests, and described request comprises start time and concluding time at least; Realize road condition predicting, according to described request, from the path planning database, obtain associated pathway reservation program results, the highway section reservation flow based on said associated pathway reservation program results analytical calculation relevant road segments generates the road condition predicting result; Send the road condition predicting result to designated equipment.
10. road condition predicting as claimed in claim 9 and inquiry system also comprise:
At least one road condition data storehouse comprises real time traffic data storehouse, historical traffic database, event database and weather data storehouse, and other traffic informations such as historical traffic data and event data are provided for road condition predicting;
Said road condition predicting also obtains the historical traffic data and the event data of relevant road segments from least one road condition data storehouse;
Based on said historical traffic data and event data, the historical traffic flows of analytical calculation relevant road segments;
Based on the historical traffic flows of said relevant road segments,, said road condition predicting result is revised by certain weight.
11., also comprise like claim 9 or 10 described road condition predicting and inquiry systems:
Map data base is for road condition predicting provides map datum;
In said road condition predicting and the query requests also the information of carrying starting point, destination and/or intermediate point are arranged, perhaps highway section identification information such as territorial scope;
Said road condition predicting also from map data base inquiry with said in the relevant map datum of relevant road segments that identifies in the request;
Said relevant route programming result is also inquired about from the path planning database and is got based on said correlation map data;
The historical traffic data of said relevant road segments and event data are also inquired about from least one road condition data storehouse and are got based on said correlation map data.
12. like claim 9 or 10 described road condition predicting and inquiry systems, said path planning database part is deployed in server this locality and perhaps and between the server realizes alternately through network; Said at least one road condition data storehouse is deployed in server this locality and perhaps and between the server realizes alternately through network; Said map data base is deployed in server this locality and perhaps and between the server realizes alternately through network.
13., also comprise like claim 9 or 10 described road condition predicting and inquiry systems:
Be suitable for the call center system with the coupling of said server, be used for receipt of call and send request, feed back the road condition predicting result that said server generates to said server.
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| Application Number | Priority Date | Filing Date | Title |
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| CN2011101852611A CN102353380A (en) | 2011-06-30 | 2011-06-30 | Road condition prediction and query system and method |
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| CN2011101852611A CN102353380A (en) | 2011-06-30 | 2011-06-30 | Road condition prediction and query system and method |
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| CN102914316A (en) * | 2012-10-11 | 2013-02-06 | 广东欧珀移动通信有限公司 | Path planning method and system of mobile terminal |
| CN104596534A (en) * | 2015-01-07 | 2015-05-06 | 诚迈科技（南京）股份有限公司 | Method for calculating optimum driving path |
| CN105046983A (en) * | 2015-08-14 | 2015-11-11 | 奇瑞汽车股份有限公司 | Traffic flow prediction system and method based on vehicle-road cooperation |
| WO2016192668A1 (en) * | 2015-06-05 | 2016-12-08 | 刘光明 | Traffic condition and vehicle travelling time prediction |
| CN107045794A (en) * | 2017-01-16 | 2017-08-15 | 百度在线网络技术（北京）有限公司 | Road conditions processing method and processing device |
| CN107144286A (en) * | 2016-03-01 | 2017-09-08 | 阿里巴巴集团控股有限公司 | Air navigation aid and device |
| CN107218948A (en) * | 2016-03-21 | 2017-09-29 | 福特全球技术公司 | System, method and apparatus for the fusion of predicted path attribute and driving history |
| CN107702729A (en) * | 2017-09-06 | 2018-02-16 | 东南大学 | A kind of automobile navigation method and system for considering expected road conditions |
| CN108074008A (en) * | 2016-11-18 | 2018-05-25 | 腾讯科技（深圳）有限公司 | A kind of method and device in predicted congestion section |
| CN109388139A (en) * | 2017-08-14 | 2019-02-26 | 德尔福技术公司 | Automate guidance system |
| CN110220527A (en) * | 2019-05-31 | 2019-09-10 | 中国四维测绘技术有限公司 | A kind of paths planning method and device based on public activity prediction |
| CN110619748A (en) * | 2019-10-22 | 2019-12-27 | 江苏广宇协同科技发展研究院有限公司 | Traffic condition analysis and prediction method, device and system based on traffic big data |
| CN111081010A (en) * | 2018-10-18 | 2020-04-28 | 阿里巴巴集团控股有限公司 | Method and device for predicting traffic flow or travel time |
| CN111951583A (en) * | 2020-08-31 | 2020-11-17 | 维沃移动通信有限公司 | Prompting method and electronic equipment |
| CN113420835A (en) * | 2021-07-21 | 2021-09-21 | 中睿信数字技术有限公司 | Short-term traffic congestion index prediction method based on CPSO-LSTM |
| CN113724497A (en) * | 2021-11-01 | 2021-11-30 | 深圳市城市交通规划设计研究中心股份有限公司 | Method and device for predicting real-time traffic flow of target road |
| CN114694400A (en) * | 2020-12-25 | 2022-07-01 | 上海棋语智能科技有限公司 | Traffic guidance dispatching system and dispatching method thereof |
| CN115457759A (en) * | 2022-07-22 | 2022-12-09 | 中智行(苏州)科技有限公司 | Road traffic real-time road condition information analysis system and method based on vehicle-road cooperation |
| CN117078020A (en) * | 2023-10-12 | 2023-11-17 | 山东龙翼航空科技有限公司 | Logistics transportation data management system based on unmanned aerial vehicle |
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2011
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| CN102914316A (en) * | 2012-10-11 | 2013-02-06 | 广东欧珀移动通信有限公司 | Path planning method and system of mobile terminal |
| CN104596534A (en) * | 2015-01-07 | 2015-05-06 | 诚迈科技（南京）股份有限公司 | Method for calculating optimum driving path |
| WO2016192668A1 (en) * | 2015-06-05 | 2016-12-08 | 刘光明 | Traffic condition and vehicle travelling time prediction |
| CN105046983B (en) * | 2015-08-14 | 2019-01-25 | 奇瑞汽车股份有限公司 | A kind of traffic flow forecasting system and method based on bus or train route collaboration |
| CN105046983A (en) * | 2015-08-14 | 2015-11-11 | 奇瑞汽车股份有限公司 | Traffic flow prediction system and method based on vehicle-road cooperation |
| CN107144286B (en) * | 2016-03-01 | 2021-08-24 | 阿里巴巴集团控股有限公司 | Navigation method and device |
| CN107144286A (en) * | 2016-03-01 | 2017-09-08 | 阿里巴巴集团控股有限公司 | Air navigation aid and device |
| CN107218948A (en) * | 2016-03-21 | 2017-09-29 | 福特全球技术公司 | System, method and apparatus for the fusion of predicted path attribute and driving history |
| CN108074008B (en) * | 2016-11-18 | 2022-01-07 | 腾讯科技（深圳）有限公司 | Method and device for predicting congested road section |
| CN108074008A (en) * | 2016-11-18 | 2018-05-25 | 腾讯科技（深圳）有限公司 | A kind of method and device in predicted congestion section |
| CN107045794A (en) * | 2017-01-16 | 2017-08-15 | 百度在线网络技术（北京）有限公司 | Road conditions processing method and processing device |
| CN109388139A (en) * | 2017-08-14 | 2019-02-26 | 德尔福技术公司 | Automate guidance system |
| CN107702729A (en) * | 2017-09-06 | 2018-02-16 | 东南大学 | A kind of automobile navigation method and system for considering expected road conditions |
| CN111081010A (en) * | 2018-10-18 | 2020-04-28 | 阿里巴巴集团控股有限公司 | Method and device for predicting traffic flow or travel time |
| CN110220527A (en) * | 2019-05-31 | 2019-09-10 | 中国四维测绘技术有限公司 | A kind of paths planning method and device based on public activity prediction |
| CN110619748A (en) * | 2019-10-22 | 2019-12-27 | 江苏广宇协同科技发展研究院有限公司 | Traffic condition analysis and prediction method, device and system based on traffic big data |
| CN111951583A (en) * | 2020-08-31 | 2020-11-17 | 维沃移动通信有限公司 | Prompting method and electronic equipment |
| CN114694400A (en) * | 2020-12-25 | 2022-07-01 | 上海棋语智能科技有限公司 | Traffic guidance dispatching system and dispatching method thereof |
| CN113420835A (en) * | 2021-07-21 | 2021-09-21 | 中睿信数字技术有限公司 | Short-term traffic congestion index prediction method based on CPSO-LSTM |
| CN113724497A (en) * | 2021-11-01 | 2021-11-30 | 深圳市城市交通规划设计研究中心股份有限公司 | Method and device for predicting real-time traffic flow of target road |
| CN115457759A (en) * | 2022-07-22 | 2022-12-09 | 中智行(苏州)科技有限公司 | Road traffic real-time road condition information analysis system and method based on vehicle-road cooperation |
| CN117078020A (en) * | 2023-10-12 | 2023-11-17 | 山东龙翼航空科技有限公司 | Logistics transportation data management system based on unmanned aerial vehicle |
| CN117078020B (en) * | 2023-10-12 | 2024-01-30 | 山东龙翼航空科技有限公司 | Logistics transportation data management system based on unmanned aerial vehicle |
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