CN102819962A - Digital-map-based urban traffic flow network parallel information system - Google Patents
Digital-map-based urban traffic flow network parallel information system Download PDFInfo
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Abstract
The invention discloses a digital-map-based urban traffic flow network parallel information system. A location-based service (LBS) system is used as a framework, and a browser and Android application are used as a display platform. The system comprises a positioning service module, a road condition service module, a path planning service module and a traffic information prediction module, wherein the positioning service module provides a positioning parameter for the road condition service module and the path planning service module; the road condition service module receives positioning information provided by the positioning service module, and displays the road condition information of an urban region on a digital map; the path planning service module performs path selection service between a starting point and an ending point or between a current position and a destination according to a request of a user to select an optimal path between the starting point and the ending point or between the current position and the destination; and the traffic information prediction module is a core program for predicting traffic road condition information. The system has the advantages that the road conditions of a city can be comprehensively and accurately displayed by road condition service; and real-time road conditions and predicted road conditions are comprehensively taken into account by path planning service, and the optimal path can be accurately planned.
Description
Technical field
The present invention relates to a kind of urban traffic flow network parallel infosystem based on numerical map, the service that is used for urban transportation information is used.
Background technology
Nowadays, the traffic in city goes from bad to worse, and road often stops up, vehicle crowded, the traffic hazard incidence is high, has brought inconvenience for vast traveler.So, how to know the traffic information of road in advance, and know that the path an of the best becomes the active demand of traveler.At present, on numerical map, show urban traffic situation information, and on numerical map, cook up suitable path according to departure place and destination and become a kind of trend.But traffic information all is to be presented on the numerical map with mode qualitatively, this mode with telecommunication flow information divide more coarse, can not reflect the congested conditions on the road more accurately; The planning in path then is to plan according to current real-time road, and the road conditions that do not look to the future factor is to the influence of path planning.
Summary of the invention
The purpose of this invention is to provide a kind of urban traffic flow network parallel infosystem based on numerical map.Subject matter to be solved by this invention is, can be on numerical map qualitatively, quantitative demonstration urban transportation traffic information real-time and following certain time; Path planning module is cooked up optimal path according to real-time traffic information with prediction, at the mobile phone application end, according to real-time positioning and dynamic balance of real-time road and modification path.
According to technical scheme provided by the invention; Said urban traffic flow network parallel infosystem based on numerical map comprises Web Application Server, client and database, is framework with the LBS geographical position service system; Client is sent request to Web Application Server; Web Application Server receives and analysis request, takes out corresponding data through handling and calculating from database, and the result is returned to client; It is characterized in that: said client comprises browser end and mobile phone application end; Said Web Application Server comprises: positioning service module, road conditions service module, path planning service module, traffic information predicting module, said positioning service module are that road conditions service module and path planning service module provide positional parameter; The road conditions service module receives the locating information that the positioning service module provides, and city, place or regional traffic information are presented on the numerical map; The path planning service module carrying out the routing service between starting point and the terminal point or between current location location and the destination, is realized the optimal route selection between the two places according to user's request; The traffic information predicting module is analyzed and is calculated according to the predictions request that path planning service module and road conditions service module are sent; The following transport information constantly of asking is predicted; And return relevant transport information and carry out that road conditions appear and path planning; Transport information with prediction deposits prediction telecommunication flow information database in order to using simultaneously, and said predictions request comprises highway section and time; Said database comprises digital map database, IP address database, real-time traffic stream information database and prediction telecommunication flow information database.
Said positioning service module positions the user, and browser client can navigate to current city, and the mobile phone application end subscriber can navigate to mobile phone present located zone.
City, current place or zone that said road conditions service module provides according to the positioning service module; From real-time traffic stream information database and prediction telecommunication flow information database, take out relevant road condition data, qualitatively, quantitative, multiattribute traffic information is presented on the numerical map; The said traffic information that shows qualitatively; Be meant that the road conditions service module is according to comprising that the information of vehicle flowrate of average speed, vehicle flowrate, space occupancy, time occupancy, queue length, following distance calculates the jam situation of road; And with the degree of blocking up of road be divided into unimpeded, jogging, crowded, stop up four grades, on numerical map, draw out different road conditions colors according to different grade; Said quantitative demonstration traffic information is meant that the road conditions service module can be presented on concrete information of vehicle flowrate, Weather information, road information, traffic signals information on the numerical map; Said multiattribute demonstration traffic information is meant that the road conditions service module can be presented on accident, control traffic message on the numerical map.
Said road conditions service module comprises qualitative traffic information display module, quantitative traffic information display module, multiattribute traffic information display module; The workflow of said quantitative traffic information display module is: the user asks the concrete traffic information of certain some q on the highway section; Client will be submitted to and ask Web Application Server, comprising time tag and latitude and longitude coordinates; The Web Application Server request of receiving is also resolved latitude and longitude coordinates and time tag, and will put the highway section L that q navigates to its place; Whether the judgement time label is greater than 0, if time tag equals 0, then from the real-time traffic stream information database, takes out the concrete traffic information of highway section L; If time tag greater than 0, then takes out the concrete traffic information of highway section L from prediction telecommunication flow information database according to time tag; Last Web Application Server sends to client with the traffic information that inquires, and client is drawn out the coverage diagram layer and shown quantitative traffic information.
The workflow of said path service module is: receive the path planning request that client is sent, and comprising the latitude and longitude coordinates of starting point and terminal point, and COS; Coordinate transformation with starting point is the next crossing S of starting point along road direction then, is the last crossing E of terminal point along road direction with the coordinate transformation of terminal point; Obtain the optimal path Path of crossing S E to the crossing according to the optimal path algorithm, the optimal path of finally cooking up is: the highway section sequence that highway section sequence, Path and the crossing E of starting point S to the crossing breasts the tape; At last the data of optimal path, spended time and path are returned to client; Client is drawn out the optimal path overlayer, is shown to the user.
Said optimal path algorithm is: being connected line segment with crossing E with crossing S is the part on the rectangle axis, confirms a rectangular extent R, and the crossing in the R is joined among the set M; Judge whether COS is short type of time; If then crossing V is to the weights of its adjacent intersection A among the initialization set M, the adjacent intersection A of crossing V is meant any road of the V from the crossing; The nearest crossing that can arrive, said weights adopt the spended time of V A to the crossing from the crossing; If COS is not short type of time, then be the short type of distance, among the initialization set M crossing V to the weights of adjacent intersection A be between two crossings apart from length; Be starting point according to dijkstra's algorithm with crossing S at last, crossing E is that terminal point is selected an optimal path Path.
The ratio sum of the length that said spended time from crossing V to crossing A is highway section two crossings and the average velocity of this highway section prediction is made up of n highway section to crossing A like crossing V, is respectively L1; L2;, Ln, the time that initial crossing S arrives crossing V is t; From prediction telecommunication flow information database, take out the average velocity V1 of t moment highway section L1 and the length S1 of highway section L1, then the time through highway section L1 is T1=S1/V1; Then, from prediction telecommunication flow information database, take out the average velocity V2 of t+T1 moment highway section L2 and the length S2 of highway section L2, then the time through highway section L2 is T2=S2/V2; By that analogy, the spended time that obtains crossing V A to the crossing is T1+T2+ ... + Tn, Tn is the time through highway section Ln.
Beneficial effect of the present invention is: urban traffic flow network parallel infosystem and method based on numerical map provided by the invention; The road conditions service is than the road conditions that presents the city more comprehensively, accurately; People can more grasp traffic information, so that how decision-making goes on a journey; The path planning service can be cooked up optimum path accurately, can help people's trip route of making a strategic decision, and has avoided the overcrowding of road, and the traffic administration and the environment of entire city brought benefit.
Description of drawings
Fig. 1 is the general structure design figure of urban traffic flow network parallel infosystem of the present invention.
Fig. 2 is the structural representation of road conditions service module among Fig. 1.
Fig. 3 is the work synoptic diagram of quantitative traffic information display module among Fig. 2.
Fig. 4 is the process flow diagram of step among Fig. 3 (2).
Fig. 5 is the work synoptic diagram of path planning service module among Fig. 1.
Fig. 6 is the process flow diagram of step among Fig. 5 (2).
Fig. 7 is the process flow diagram of optimal path algorithm among Fig. 6.
Embodiment
Below in conjunction with accompanying drawing and embodiment the present invention is described further.
The present invention is a framework with LBS (Location Based Service) system; Parallel parsing, displaying and the application urban traffic flow network information; Especially in real time and the traffic information of prediction, dynamically cook up optimal path and according to traffic information real-time, prediction based on quantitative, the multiattribute demonstration of numerical map.
As shown in Figure 1, Fig. 1 is the general structure design figure of urban traffic flow network parallel infosystem of the present invention.Mainly comprise client 1, Web Application Server 2 and database side 3.Wherein client 1 comprises browser end 10 and mobile phone application end 11 (be installed in the client software on the mobile phone operating system, panel computer or other intelligent terminals roughly the same for explaining conveniently, are referred to as the mobile phone application end), is used as the display platform of this system.Web Application Server 2 comprises positioning service module 20, road conditions service module 21, path service module 22 and traffic information predicting module 23.Wherein, positioning service module 20 positions the user, and browser client can navigate to current city, pacifies tall and erect user and can navigate to the present located zone, for road conditions service module and path planning service module provide positional parameter; Road conditions service module 21 receives the locating information that the positioning service module provides, the urban area, current place that provides according to positioning service; From the traffic flow data storehouse, take out relevant road condition data; Qualitatively, quantitative, multiattribute traffic information is plotted on the numerical map; Path service module 22; Request according to the user; (mobile phone application end) carries out the routing service based on current real-time road and future anticipation road conditions between between starting point and the terminal point or current location location and destination, realizes the optimal route selection between the two places.At the mobile phone application end, system dynamics according to the balance of current real-time positioning and real-time road and revise the path; Traffic information predicting module 23; Serve the predictions request (comprising highway section and time) of being sent according to path service and road conditions; In conjunction with analysis that influences the multiple factor of traffic flow and calculating; Completion predicts following certain transport information constantly, returns relevant transport information and carries out that road conditions appear and path planning, and the information with prediction deposits prediction traffic flow data storehouse in order to using simultaneously.Being the tie between connection request road conditions and path planning service and the database, is the kernel program to the traffic information prediction.Database side 3 comprises digital map database 30, IP address database 31, real-time traffic stream information database 32 and prediction telecommunication flow information database 33.Client 1 is sent request to Web Application Server 2, and Web Application Server 2 receives and analysis request, takes out corresponding data through handling and calculating from database side 3, and the result is returned to client 1.
As shown in Figure 2, it is the structural representation of the road conditions service module 21 among Fig. 1.It comprises qualitative traffic information display module 210, quantitatively traffic information display module 211, multiattribute traffic information display module 212.What is called shows traffic information qualitatively; Be meant that this module weighs the congested conditions that road according to information of vehicle flowrate (comprising average speed, vehicle flowrate, space occupancy, time occupancy, queue length, following distance); And with the degree of blocking up of road be divided into unimpeded, jogging, crowded, stop up (accident or traffic control etc.) four grades, on numerical map, draw out different road conditions colors according to different grade; So-called quantitative demonstration traffic information is meant that this module can be presented on numerical map with concrete information of vehicle flowrate, Weather information, road information, traffic signals information etc.; So-called multiattribute demonstration traffic information is meant that this module is presented on information such as accident, traffic control on the numerical map.Wherein quantitatively the method for work of traffic information display module 211 is like Fig. 3, shown in 4, and the user asks the concrete traffic information of certain some q on the highway section, and client will be submitted to and ask server, comprising time tag and latitude and longitude coordinates.Latitude and longitude coordinates and time tag (step S11) are also resolved in the server request of receiving, the q point location are arrived the highway section L (step S12) at its place according to respective algorithms.Whether the judgement time label if time tag equal 0, then from real-time traffic flow database takes out the concrete traffic information (step S14) of highway section L greater than 0 (step S13); If time tag greater than 0, then takes out the concrete traffic information (step S15) of highway section L from prediction traffic flow data storehouse according to time tag.Last server sends to client with the traffic information that inquires, and client is drawn out the coverage diagram layer and shown quantitative traffic information.
Be illustrated in figure 5 as the work synoptic diagram of the path service module 22 among Fig. 1.Explain as follows in conjunction with Fig. 6 and Fig. 7.Like Fig. 6, user by selecting starting point and terminal point, the request that client 1 is planned to Web Application Server 2 transmit paths, comprising the latitude and longitude coordinates of starting point and terminal point, and COS.Path service module 22 receives request and the relevant parameters (step S21) that client 1 is submitted to; Coordinate transformation with starting point is the next crossing S of starting point along road direction then, is the last crossing E (step S22) of terminal point along road direction with the coordinate transformation of terminal point.Obtain the optimal path Path (step S23) of crossing S E to the crossing according to the optimal path algorithm.The optimal path of finally cooking up is the highway section sequence (step S24) that highway section sequence, Path and the crossing E of starting point S to the crossing breasts the tape.At last the data such as sequence, spended time and path of optimal path are returned to client 1 (step S25).Client 1 receives the data of optimal path, draws out the optimal path overlayer, is shown to the user.
The optimal path algorithm, as shown in Figure 7, being connected line segment with crossing E with crossing S is the part on the rectangle axis, confirms a rectangular extent R, and the crossing in the R is joined among the set M (step S31).Judge whether COS is short type (step 32) of time; If; Crossing V is to its adjacent intersection A (any road of V from the crossing among the initialization set M; The nearest crossing that can arrive) weights, weights adopt the spended time of V A to the crossing from the crossing, and spended time is according to the length in highway section between two crossings and the ratio sum of the average velocity of this highway section prediction.For example, crossing V is made up of n highway section to crossing A, is respectively L1; L2;, Ln, the time that initial crossing S arrives crossing V is t; From prediction telecommunication flow information database 33, take out the average velocity V1 of t moment highway section L1 and the length S1 of highway section L1, then the time through highway section L1 is T1=S1/V1.Then, from prediction telecommunication flow information database 33, take out the average velocity V2 of t+T1 moment highway section L2 and the length S2 of highway section L2, then the time through highway section L2 is T2=S2/V2.By that analogy, then the weights of crossing V A to the crossing are T1+T2+ ... + Tn (step 33).If COS is not short type of time, then be the short type of distance, among the initialization set M crossing V to the weights of its adjacent intersection A be between two crossings apart from length (step 34).Is starting point according to dijkstra's algorithm with crossing S, and crossing E is that terminal point is selected an optimal path Path (step S35).
Mobile phone application end 11 in the client; After submitting the path services request to, t sends one-time request to server end at set intervals, and present position, terminal point and COS are submitted to server; Parameter that path service module 22 is submitted to according to client again and the road condition data that has changed are cooked up an optimal path again; So that optimal route more accurately is provided to the user, let the user avoid crowded section of highway, arrive the destination faster.
Claims (7)
1. based on the urban traffic flow network parallel infosystem of numerical map; Comprise Web Application Server (2), client (1) and database (3); With the LBS geographical position service system is framework, and client (1) is sent request to Web Application Server (2), and Web Application Server (2) receives and analysis request; Take out corresponding data through handling and calculating from database (3), the result is returned to client (1); It is characterized in that: said client (1) comprises browser end (10) and mobile phone application end (11); Said Web Application Server (2) comprising: positioning service module (20), road conditions service module (21), path planning service module (22), traffic information predicting module (23), and said positioning service module (20) provides positional parameter for road conditions service module (21) and path planning service module (22); Road conditions service module (21) receives the locating information that positioning service module (20) provides, and city, place or regional traffic information are presented on the numerical map; Path planning service module (22) carrying out the routing service between starting point and the terminal point or between current location location and the destination, is realized the optimal route selection between the two places according to user's request; Traffic information predicting module (23) is analyzed and is calculated according to the predictions request that path planning service module (22) and road conditions service module (21) are sent; The following transport information constantly of asking is predicted; And return relevant transport information and carry out that road conditions appear and path planning; Transport information with prediction deposits prediction telecommunication flow information database (33) in order to using simultaneously, and said predictions request comprises highway section and time; Said database (3) comprises digital map database (30), IP address database (31), real-time traffic stream information database (32) and prediction telecommunication flow information database (33).
2. the urban traffic flow network parallel infosystem based on numerical map as claimed in claim 1; It is characterized in that; Said positioning service module (20) positions the user, and browser client can navigate to current city, and the mobile phone application end subscriber can navigate to mobile phone present located zone.
3. the urban traffic flow network parallel infosystem based on numerical map as claimed in claim 1; It is characterized in that; City, current place or zone that said road conditions service module (21) provides according to positioning service module (20); The relevant road condition data of taking-up from real-time traffic stream information database (32) and prediction telecommunication flow information database (33), qualitatively, quantitative, multiattribute traffic information is presented on the numerical map; The said traffic information that shows qualitatively; Be meant that road conditions service module (21) is according to comprising that the information of vehicle flowrate of average speed, vehicle flowrate, space occupancy, time occupancy, queue length, following distance calculates the jam situation of road; And with the degree of blocking up of road be divided into unimpeded, jogging, crowded, stop up four grades, on numerical map, draw out different road conditions colors according to different grade; Said quantitative demonstration traffic information is meant that road conditions service module (21) can be presented on concrete information of vehicle flowrate, Weather information, road information, traffic signals information on the numerical map; Said multiattribute demonstration traffic information is meant that road conditions service module (21) can be presented on accident, control traffic message on the numerical map.
4. the urban traffic flow network parallel infosystem based on numerical map as claimed in claim 3; It is characterized in that; Said road conditions service module (21) comprises qualitative traffic information display module (210), quantitative traffic information display module (211), multiattribute traffic information display module (212); The workflow of said quantitative traffic information display module (211) is: the user asks the concrete traffic information of certain some q on the highway section; Client (1) will be submitted to and ask Web Application Server (2), comprising time tag and latitude and longitude coordinates; Web Application Server (2) request of receiving is also resolved latitude and longitude coordinates and time tag, and will put the highway section L that q navigates to its place; Whether the judgement time label is greater than 0, if time tag equals 0, then from real-time traffic stream information database (32), takes out the concrete traffic information of highway section L; If time tag greater than 0, then takes out the concrete traffic information of highway section L from prediction telecommunication flow information database (33) according to time tag; Last Web Application Server (2) sends to client (1) with the traffic information that inquires, and client (1) is drawn out the coverage diagram layer and shown quantitative traffic information.
5. the urban traffic flow network parallel infosystem based on numerical map as claimed in claim 1; It is characterized in that; The workflow of said path service module (22) is: receive the path planning request that client (1) is sent; Comprising the latitude and longitude coordinates of starting point and terminal point, and COS; Coordinate transformation with starting point is the next crossing S of starting point along road direction then, is the last crossing E of terminal point along road direction with the coordinate transformation of terminal point; Obtain the optimal path Path of crossing S E to the crossing according to the optimal path algorithm, the optimal path of finally cooking up is: the highway section sequence that highway section sequence, Path and the crossing E of starting point S to the crossing breasts the tape; At last the data of optimal path, spended time and path are returned to client (1); Client (1) is drawn out the optimal path overlayer, is shown to the user.
6. the urban traffic flow network parallel infosystem based on numerical map as claimed in claim 5; It is characterized in that; Said optimal path algorithm is: being connected line segment with crossing E with crossing S is the part on the rectangle axis; Confirm a rectangular extent R, the crossing in the R is joined among the set M; Judge whether COS is short type of time; If then crossing V is to the weights of its adjacent intersection A among the initialization set M, the adjacent intersection A of crossing V is meant any road of the V from the crossing; The nearest crossing that can arrive, said weights adopt the spended time of V A to the crossing from the crossing; If COS is not short type of time, then be the short type of distance, among the initialization set M crossing V to the weights of adjacent intersection A be between two crossings apart from length; Be starting point according to dijkstra's algorithm with crossing S at last, crossing E is that terminal point is selected an optimal path Path.
7. the urban traffic flow network parallel infosystem based on numerical map as claimed in claim 6 is characterized in that, the ratio sum of the length that said spended time from crossing V to crossing A is highway section two crossings and the average velocity of this highway section prediction; Form by n highway section to crossing A like crossing V; Be respectively L1, L2 ... Ln; The time that initial crossing S arrives crossing V is t, from prediction telecommunication flow information database (33), takes out the average velocity V1 of t moment highway section L1 and the length S1 of highway section L1, and then the time through highway section L1 is T1=S1/V1; Then, from prediction telecommunication flow information database (33), take out the average velocity V2 of t+T1 moment highway section L2 and the length S2 of highway section L2, then the time through highway section L2 is T2=S2/V2; By that analogy, the spended time that obtains crossing V A to the crossing is T1+T2+ ... + Tn, Tn is the time through highway section Ln.
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