CN104916155B - A kind of real-time public communication information service system - Google Patents

A kind of real-time public communication information service system Download PDF

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CN104916155B
CN104916155B CN201510263750.2A CN201510263750A CN104916155B CN 104916155 B CN104916155 B CN 104916155B CN 201510263750 A CN201510263750 A CN 201510263750A CN 104916155 B CN104916155 B CN 104916155B
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CN104916155A (en
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周涌
韩云飞
彭贤斌
林栋�
白雪
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Shenzhen Beidou Application Technology Research Institute Co Ltd
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Shenzhen Beidou Application Technology Research Institute Co Ltd
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Abstract

The present invention discloses a kind of real-time public communication information service system, including attendant application DLL, data access interface, vehicle arrival time prediction module, vehicle arrival time predictablity rate evaluation module, real time data processing module, event statistics module and vehicle real-time status monitoring module, user is inquired about the real-time Bus information including vehicle arrival time, travel condition of vehicle by attendant application DLL.The real-time public communication information service system of the present invention is handled the abnormal conditions of vehicle in public communication information service system, and substantial amounts of Bus information data can be carried out quickly with processing, high efficiency in real time;Abnormal conditions in real-time Bus information are considered comprehensively, the running status of all vehicles in enquiring vehicle and system is shown in real time;There is the quick advantage of inquiry of accurate, the real-time Bus information of the forecast of vehicle arrival time simultaneously.

Description

A kind of real-time public communication information service system
Technical field
The present invention relates to intelligent transportation field, especially a kind of real-time public communication information service system.
Background technology
In intelligent transportation field, Level-of-Services of Public Transit can be significantly improved using real-time public communication information service system, More passengers are attracted to use bus trip mode.Real-time public communication information service system passes through the geographical position to bus timing transmission Put data to be handled in real time, provide real-time Bus information service for the passenger that is waited in bus station, passenger can real-time query car Relevant information, such as current location, distance waits the distance of website, estimates the information such as operation is time-consuming of vehicle.
Position data has following features in the ground that bus is sent in real time:
(1) data volume is big, and city bus quantity is more, and each car produced a data every 20 seconds, these numbers produced According to being processed to provide information service in real time;
(2) data exception situation is more and complicated, and vehicle-mounted location equipment species is various, precision by satellite fix, fixed The a variety of objective and unpredictable factor influence such as limitation, the network signal of position equipment, causes the presence of a large amount of exceptions in data The data of situation.
Existing real-time public communication information service system has the following disadvantages:
One is, it is impossible to which a large amount of position datas are carried out quickly with processing in real time;
Two are, consider not comprehensive enough for the abnormal problem in data.In real traffic circulation environment, the row of bus Abnormal conditions can be present by sailing, and be travelled if do not pressed given line, or midway turns around to travel.Current existing real-time Bus information service The state that system is not directed to vehicle does excessive design, and this can cause some vehicles for being in abnormality to be considered as normal fortune The vehicle of row state is shown to user, while can not understand the overall state of all vehicles in whole system.
Three are, the accuracy rate of the forecast of vehicle arrival time should be appreciable, and the running status of system should be can Monitoring, system operation daily record should be it is analyzable, but existing real-time public communication information service system do not consider comprehensively with Upper problem.
The content of the invention
The technical problem to be solved in the present invention is, for defect present in existing design, to carry a kind of real-time Bus information clothes Business system.
To overcome defect present in prior art, the technical scheme that the present invention takes is as follows:A kind of real-time Bus information Service system, including attendant application DLL, data access interface, vehicle arrival time prediction module, vehicle are reached Time prediction accuracy rate evaluation module, real time data processing module, event statistics module and vehicle real-time status monitoring module; The attendant application DLL provides the passage of access system, and the attendant application DLL, vehicle are reached Time prediction module, vehicle arrival time predictablity rate evaluation module, real time data processing module, event statistics module and Vehicle real-time status monitoring module interdepends with the data access interface to be connected, and system is accessed by the data access interface System database;User is inquired about real-time Bus information by the attendant application DLL;Wherein, the vehicle Arrival time prediction module, is run using several prediction algorithm, and in a distributed way, completes the pre- of vehicle arrival time Survey;
The vehicle arrival time predictablity rate evaluation module, to being predicted in setting time by the vehicle arrival time All predict the outcome that module prediction is produced is counted and verified, verifies accuracy rate;
The real time data processing module, receive uploaded by vehicle by GPS real time data, to every of upload in real time Data are pre-processed, handled the shape of the abnormal problem in real time data and the real time data more new vehicle being used in after processing State;
The event statistics module, what is recorded and count that real-time public communication information service system occurs in the process of running is various Event, and shown with graphical interfaces, the situation to show the system operation;
The vehicle real-time status monitoring module, is monitored to the real time data that vehicle is uploaded, and with graphical interfaces exhibition Show the real time status information of vehicle, the real-time status to fully understand all vehicles;
The GPS real time datas that the vehicle is uploaded include vehicle location coordinate, circuit number, car number, vehicle-state Information;Car status information value of the extractible data of system database including caching, current time in system, vehicle-state Information is updated time, the position coordinates of the up and descending website of each circuit.
It is expanded on further as to above-mentioned technical proposal:
In the above-mentioned technical solutions, in the vehicle arrival time prediction module, predict that vehicle is reached according to below equation Time:
Wherein, the T (j | i) is i for first website in front of current vehicle position, and vehicle reaches website j prediction It is time-consuming;The riFor slave site i to website i+1, m nearest time-consuming average values;The RikIt is slave site i to website i+1, It was observed that take for k-th reciprocal;The L ' is distance of the current vehicle position to first website in front, if vehicle is just On some website, the value is 0;The L ' is website i to website i+1 distance;The n is website sum.
In the above-mentioned technical solutions, the vehicle monitoring module monitors travel condition of vehicle in real time, and the vehicle runs shape State includes off-line state, same position state is stopped for a long time, target line state is being determined, is determining target direction shape State and normal operating condition, vehicle original state be off-line state and all the time be in above-mentioned travel condition of vehicle in one kind, The judgement of the vehicle off-line state is driven by user's inquiry request, and the vehicle stops same position state, for a long time Determine target line state, determine target direction state and GPS numbers that the judgement of normal operating condition is uploaded by vehicle According to driving, and as follows, order judges:
Step 1:Receive the gps data that a vehicle is uploaded;
Step 2:Whether judge vehicle-state is to rest on same position for a long time;
If it is, jumping to step 1, the judgement of next gps data is carried out;Otherwise, with regard to carrying out sentencing for NextState It is fixed;
Step 3:Whether judge vehicle-state is to determine target line;
If it is, jumping to step 1, the judgement of next gps data is carried out;Otherwise, with regard to carrying out sentencing for NextState It is fixed;
Step 4:Whether judge vehicle-state is to determine target direction;
If it is, jumping to step 1, the judgement of next gps data is carried out;Otherwise, with regard to carrying out sentencing for NextState It is fixed;
Step 5:Whether be normal operation, after the completion of judgement, jump to step 1, carry out next GPS if judging vehicle-state The judgement of data.
In the above-mentioned technical solutions, the vehicle off-line state judgement for vehicle on the time span threshold values of setting not Upload gps data.
In the above-mentioned technical solutions, the judgement that the vehicle long-time stops same position state includes same position and length The judgement that time stops, the judgement of the same position is GPS location error of coordinate distance is less than or equal to twice before and after vehicle Twice of GPS location error, what the long-time was stopped judges that the time then as stoppage of vehicle in a certain position has exceeded setting Time span, and the long-time stop judgement carried out after the judgement of the same position.
In the above-mentioned technical solutions, the target line of the vehicle is the circuit that vehicle is currently run, and the vehicle is Determine the position coordinates in the gps data that the judgement of target line state uploads for vehicle not in specified vehicle working line On, while vehicle continues to upload continuous gps data.
In the above-mentioned technical solutions, the vehicle target direction includes the up and down direction of vehicle, and the vehicle is just It is determined that the target line judged for vehicle of target direction state is it has been determined that up and down direction is uncertain and vehicle exists Continuously report gps data;The judgement of the vehicle normal operating condition has determined and target line for the target line of vehicle On up and down direction also determine.
Compared with the existing technology, the beneficial effects of the invention are as follows:
One is, processing, high efficiency in real time are carried out quickly to big data;
Two are, the abnormal conditions in real-time Bus information are considered comprehensively, to the vehicle in traveling not by set Link travel or the abnormal conditions such as traveling that turn around halfway are handled, and all vehicles in enquiring vehicle and system are shown in real time Running status;
Three are, the accuracy rate of the forecast of vehicle arrival time is high, and the running status of system is monitored in real time;
Four are, the inquiry of real-time Bus information is quick, accurate.
Brief description of the drawings
Fig. 1 is the system block diagram of the present invention.
Fig. 2 is dependence annexation schematic diagram between each module of the invention.
Fig. 3 is bus arrival time forecast model schematic diagram of the present invention.
Fig. 4 is travel condition of vehicle decision flow chart of the present invention.
Fig. 5 is vehicle off-line state decision flow chart in Fig. 4.
Fig. 6 is the flow chart of vehicle long-time stop same position condition adjudgement in Fig. 4.
Fig. 7 is the flow chart that vehicle is determining target line condition adjudgement in Fig. 4.
Fig. 8 is the flow chart that vehicle is determining target direction condition adjudgement in Fig. 4.
Embodiment
The invention will now be described in further detail with reference to the accompanying drawings.
Fig. 1-8 illustrates the specific embodiment of the present invention.
Such as Fig. 1, a kind of real-time public communication information service system, including attendant application DLL (service API) 1, number According to access interface 2, vehicle arrival time (BAT:Bus Arrival Time) prediction module 3, vehicle arrival time (BAT:Bus Arrival Time) predictablity rate evaluation module 6, real time data processing module 4, event statistics module 5 and vehicle it is real-time Monitoring module 7, the attendant application DLL (service API) 1 provides the passage of access system, as shown in Fig. 2 The attendant application DLL 1, vehicle arrival time prediction module 3, vehicle arrival time predictablity rate assess mould Block 6, real time data processing module 4, event statistics module 5 and vehicle real-time status monitoring module 7 with the data access Interface 2 interdepends connection, passes through the data access interface 2 and accesses system database;And user is looked into by the service API1 Ask real-time Bus information.
Wherein:The vehicle arrival time (BAT:Bus Arrival Time) prediction module 3, it includes BAT predictions RPC (remote service interface) and BAT prediction nucleus modules, are run using several prediction algorithm, and in a distributed way, completed The prediction of vehicle arrival time, its workflow is:A. user asks vehicle arrival time;B. vehicle location is obtained, to wait Stop spacing is from, the information such as speed, real-time road;C. information obtained in the previous step is brought into forecast model as parameter;D. will prediction As a result user is returned to.
The vehicle arrival time predictablity rate evaluation module 6, to pre- by the vehicle arrival time in setting time All predict the outcome for surveying the prediction generation of module 3 is counted and verified, verifies accuracy rate;The module workflow is:A. mould Intend user's request vehicle arrival time;B. the arrival time for obtaining corresponding requests predicts the outcome;C. since request timing to car Period when being actually reached is as true arrival time;D after predicting after a while, and contrast predicts the outcome and truly tied Really, time prediction model is improved.
The real time data processing module 4, receives real time data, the every reality to upload uploaded by vehicle by GPS When data pre-processed, handle the abnormal problem in real time data and the real time data more new vehicle being used in after processing State;Its specific data handling procedure is:A. receiving real-time data stream;B. data are parsed;C. data filtering;D. event monitoring (stop for a long time, and car etc.);E. the affiliated circuit of vehicle is calculated;F. up-downlink direction is calculated;G. vehicle site location is calculated.
The event statistics module 5, what is recorded and count that real-time public communication information service system occurs in the process of running is each The event of kind, and shown with graphical interfaces, the situation to show the system operation.Occur in real time data processing module Various events all can send an event message to the module, and the module is received event title, event description, event after message Source, generation time etc. is recorded.
The vehicle real-time status monitoring module 7, is monitored to the real time data that vehicle is uploaded, and with graphical interfaces exhibition Show the real time status information of vehicle, to fully understand the real-time status of all vehicles, and have trace playback, map gets work(ready Energy.
The GPS real time datas that the vehicle is uploaded include vehicle location coordinate pos, and (it also includes current position coordinates pos Position coordinates lastPos corresponding with last moment), circuit number lineID, car number BusID, car status information BusState;It is current that the extractible data of system database include the car status information value BusState of caching, system Time curServerTime, car status information BusState be updated time updateTime, each circuit it is up And the position coordinates of descending website, and the form of expression of position coordinates is flex point sequence, it includes up flex point sequence PointListUp and descending flex point sequence PointListDown.
The attendant application DLL is applicable most usage scenario, be user's request is converted into it is corresponding Http request, according to the function and parameter of request, calls specific service logic, with reference to the result calculated in real time and basic number According to drawing the result of needs.
The data access interface to have done one layer of encapsulation on database, the specific Database details of shielding there is provided One general data access interface, for being shared between disparate modules.By the interface, the data of needs can be loaded in advance To internal memory, access efficiency is improved, reduces database access pressure.
It is expanded on further as to above-described embodiment:
Model as shown in Figure 3, in the above-described embodiments, in the vehicle arrival time prediction module 3, according to below equation Predict vehicle arrival time:
Wherein, the T (j | i) is i for first website in front of current vehicle position, and vehicle reaches website j prediction It is time-consuming;The riFor slave site i to website i+1, m nearest time-consuming average values;The RikIt is slave site i to website i+1, It was observed that take for k-th reciprocal;The L ' is distance of the current vehicle position to first website in front;If vehicle is just Fortunately on some website, the value is 0;The LiFor website i to website i+1 distance;The n is website sum.
In the above-described embodiments, the vehicle monitoring module 7 monitors travel condition of vehicle in real time, and the system defines as follows Five kinds of travel condition of vehicle:Off-line state, stop for a long time same position state, determining target line state, it is true Set the goal direction state and normal operating condition, and the original state of each car is " off-line state ", and vehicle it is in office when Hou Douhui is in one of five kinds of shapes of above-mentioned setting, and the state of vehicle can periodically update.The vehicle off-line state Judgement driven by user's inquiry request, gone in the status information of user's enquiring vehicle detection vehicle whether be in " offline " shape State, often receiving a gps data will go to update a vehicle-state.As shown in figure 4, and the vehicle is stopped together for a long time One location status, determining target line state, determining target direction state and the judgement of normal operating condition then It is the gps data driving uploaded by vehicle, and is judged by following sequencing step:
Step S101:Receive the gps data that a vehicle is uploaded;
Step S102:Whether judge vehicle-state is to rest on same position for a long time;
If it is, jumping to step S101, the judgement of next gps data is carried out;Otherwise, with regard to carrying out NextState Judge;
Step S103:Whether judge vehicle-state is to determine target line;
If it is, jumping to step S101, the judgement of next gps data is carried out;Otherwise, with regard to carrying out NextState Judge;
Step S104:Whether judge vehicle-state is to determine target direction;
If it is, jumping to step 1, the judgement of next gps data is carried out;Otherwise, with regard to carrying out sentencing for NextState It is fixed;
Step S105:Whether be normal operation, after the completion of judgement, step S101 is jumped to, under progress if judging vehicle-state The judgement of one gps data.
It should be noted that in the judgement of above-mentioned vehicle-state, it is described to be driven by gps data except the judgement of off-line state The GPS data that all vehicles are uploaded in the judgement of dynamic travel condition of vehicle, wherein system all include same data parameters, Simply in different decision processes, the parameter that system software is transferred is different, meanwhile, the above-mentioned vehicle except off-line state is run In the judgement of state, vehicle is uploaded after a gps data, system can carry out successively above-mentioned long-time stop same position state, Determining target line state, the judgement of target direction state and normal operating condition determined, until determining one The judgement of next travel condition of vehicle can just be carried out by planting travel condition of vehicle.
Such as Fig. 5, the vehicle off-line state is defined as:Vehicle does not upload gps data on the time span threshold values of setting, Namely more than one time span threshold values (such as 300 seconds) does not report gps data, and its decision method is as follows:
Step S201:The numbering (BusID) of user input query parameter vehicle;
Step S202:The car status information of correspondence car number (BusID) is extracted from system database (BusState);
Step S203:Judge whether car status information (BusState) is set to " off-line state ";
If it is, jumping to step S207;Otherwise, next step S204 is jumped to;
Step S204:Following 2 parameters are obtained from system database:
A, server current time curServerTime;
The time updatetime that b, car status information the last time are updated;
Step S205:The time difference of two parameters in calculation procedure S204, and judge whether to meet a-b > 300 seconds;
If it is, jumping to step S206;Otherwise, step S207 is jumped to;
Step S206:Vehicle-state is set for " off-line state ", and changes the value of car status information (BusState) and is " offline " state;
Step S207:Export the Query Result of car status information (BusState).
As shown in fig. 6, the vehicle is stopped in the judgement of same position state for a long time, the judgement of the same position is determined Justice is:GPS location error be vehicle location coordinate lastPos on A (unit is rice), vehicle in a real-time recorded data with It is less than or equal to 2 times of GPS location errors apart from d between the position coordinates pos that current time extracts from gps data, and 2 times of GPS determine Position error statement judges vehicle in same position apart from threshold values D, that is to say, that D=2*A (unit is rice);Set a generation Boundary length threshold values T, if vehicle has exceeded time threshold values T in the residence time of same position, judges that vehicle is in for a long time Rest on same position;Represent that the judgement that the long-time is stopped is carried out after the judgement of the same position simultaneously, it is described Long-time rests on comprising the following steps that for the judgement of same position:
Step S301:Initialize 4 parameters:A real-time recorded data on stoppage of vehicle start time tStart, vehicle In vehicle location coordinate lastPos, judge " resting on same position for a long time " time span threshold values T, judge same Position apart from threshold values D, initialization result is:TStart=Null, lastPos=NULL, T=300 seconds, D=20 meters, NULL represents empty;
Step S302:Receive a gps data (data are represented with record);
Step S303:2 parameters are obtained, the current time curServerTime of server and are extracted from record Position coordinates pos;
Step S304:Judge whether to meet " tStart==NULL or lastPos==NULL ";
If it is, jumping to step S310;Otherwise, step S305 is carried out;
Step S305:Calculate two position coordinateses lastPos and pos between apart from d;
Step S306:Judge whether to meet condition " d <=D ";
If it is, jumping to step S307;Otherwise, step S310 is carried out;
Step S307:Judge whether to meet condition " curServerTime-tStart >=T ";
If it is, jumping to step S308;Otherwise, step S309 is carried out;
Step S308:It is " resting on same position for a long time " to set vehicle-state
Step S309:Vehicle in " resting on same position for a long time " state, does not perform the judgement of other vehicle-states;
Step S310:To following two parameter assignment tStart=curServerTime, lastPos=pos, by present bit Put and present system time is set as next parameter for judging vehicle-state;
Step S311:Judge whether to meet condition " it is determined that vehicle-state rests on same position for long-time ";
If it is, jumping to step S312;Otherwise, step S309 is carried out;
Step S312:Next gps data is received, the judgement of vehicle-state is carried out.
As shown in fig. 7, the target line of the vehicle is the circuit that vehicle is currently run, the vehicle determines mesh
Position coordinates in the gps data that the judgement of graticule line state uploads for vehicle is not in specified vehicle working line On, together
When vehicle continue to upload continuous gps data, its specific judgment step is as follows:
Step S401:Receive a gps data (data are represented with record);
Step S402:Extract 2 parameters from record, the circuit number that position coordinates pos, the vehicle of vehicle are reported lineId;
Step S403:2 flex point sequence (data corresponding to corresponding line numbering lineId are taken out from system database Middle use coordinate representation):The flex point sequence pointListUp of vehicle up direction and the flex point sequence of down direction PointListDown;
Step S404:Judging whether to meet condition coordinate pos can be with pointListUp and pointListDown flex point sequence The coordinate of flex point sequence is to matching on the circuit of one of row;
If it is satisfied, jumping to step S405;Otherwise, step S406 is carried out;
Step S405:Vehicle not can determine that target line, and it is " determining target line " to set vehicle-state, is then held Row step S407;
Step S406:Vehicle is is in " determining target line " state, and the target line numbering for setting vehicle is LineId, then performs step S408;
Step S407:Next new gps data is received, the judgement of vehicle-state is performed;
Step S408:Perform the judgement of other vehicle-states.
As shown in figure 8, the vehicle target direction includes the up and down direction of vehicle, the vehicle is determined
The judgement of target direction state is the target line of vehicle it has been determined that up and down direction is not known and vehicle Continuous
Report gps data;The judgement of the vehicle normal operating condition has determined and target for the target line of vehicle On circuit
Up and down direction also determined, above-mentioned judgement is concretely comprised the following steps:
Step S501:Initialize the listing sequence poslist of a vehicle location coordinate;
Step S502:Receive a gps data (data are represented with record);
Step S503:The position coordinates pos of vehicle is extracted from record, and pos is added to position coordinates list PosList afterbody;
Step S504:Judge whether the position coordinates number in position coordinates list posList is more than 4;
If it is, jumping to step S505;Otherwise, then step S512 is jumped to;
Step S505:First position coordinates of delete position list of coordinates posList stems, and carry out step S507;
Step S506:Following 3 parameters, the target line numbering of vehicle are taken out from system database TargetLineId, the flex point sequence pointListUp of target line up direction, the flex point sequence of target line down direction pointListDown;
Step S507:Judge whether to meet condition that " all coordinates can match what pointListUp was represented in posList Circuit and direction is also matched ";
If it is satisfied, then jumping to step S508, step S509 is otherwise jumped to;
Step S508:The target direction for setting vehicle is " up ", and step S511 is jumped to afterwards;
Step S509:Judge whether to meet condition that " all coordinates can match pointListDown and represent in posList Circuit and direction also match ";
If it is satisfied, then jumping to step S510, step S512 is otherwise jumped to;
Step S510:The target direction for setting vehicle is " descending ", and step S511 is jumped to afterwards;
Step S511:It is " normal operation " to set the state of vehicle, and step S513 is jumped to afterwards;
Step S512:Vehicle not can determine that target direction, and it is " determining target direction " to set vehicle-state, is jumped afterwards Go to step S513;
Step S513:Next gps data is received, the state to vehicle judges.
It is described above, only it is presently preferred embodiments of the present invention, it is described above that any not is made to the technical scope of the present invention Limitation, any modification, equivalent variations and modification that all embodiments according to the technology of the present invention essence to more than are made, still falls within In the range of technical scheme.

Claims (7)

1. a kind of real-time public communication information service system, it is characterised in that connect including attendant application DLL, data access Mouth, vehicle arrival time prediction module, vehicle arrival time predictablity rate evaluation module, real time data processing module, event Statistical module and vehicle real-time status monitoring module;The attendant application DLL provides the passage of access system, The attendant application DLL, vehicle arrival time prediction module, vehicle arrival time predictablity rate evaluation module, Real time data processing module, event statistics module and vehicle real-time status monitoring module are mutual with the data access interface Connection is relied on, and system database is accessed by the data access interface;User is connect by attendant application programming Mouth is inquired about real-time Bus information;
Wherein, the vehicle arrival time prediction module, is run using several prediction algorithm, and in a distributed way, is completed The prediction of vehicle arrival time, wherein, the prediction process includes, user's request vehicle arrival time, obtains vehicle location, arrives Waiting station distance, speed and real-time road simultaneously bring time prediction model into, to obtain vehicle arrival time;
The vehicle arrival time predictablity rate evaluation module, in setting time by the vehicle arrival time prediction module All predict the outcome that prediction is produced is counted and verified, verifies accuracy rate, wherein, the statistics and verification process include: Analog subscriber asks vehicle arrival time, and the arrival time for obtaining corresponding requests predicts the outcome, and timing is to vehicle since request Period when being actually reached, after predicting after a while, contrast predicted the outcome and legitimate reading as true arrival time, Improve the time prediction model;
The real time data processing module, receives real time data, the every real time data to upload uploaded by vehicle by GPS Pre-processed, handled the state of the abnormal problem in real time data and the real time data more new vehicle being used in after processing;
The event statistics module, records and counts the various things that real-time public communication information service system occurs in the process of running Part, and shown with graphical interfaces, the situation to show the system operation;
The vehicle real-time status monitoring module, is monitored to the real time data that vehicle is uploaded, and with graphical interfaces exhibition vehicle Real time status information, the real-time status to fully understand all vehicles;
The GPS real time datas that the vehicle is uploaded include vehicle location coordinate, circuit number, car number, car status information; The extractible data of system database include car status information value, current time in system, the car status information of caching It is updated time, the position coordinates of the up and descending website of each circuit.
2. a kind of real-time public communication information service system according to claim 1, it is characterised in that:The vehicle arrival time In prediction module, vehicle arrival time is predicted according to below equation:
<mrow> <msub> <mi>r</mi> <mi>i</mi> </msub> <mo>=</mo> <mfrac> <mrow> <msubsup> <mi>&amp;Sigma;</mi> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>m</mi> </msubsup> <msub> <mi>R</mi> <mrow> <mi>i</mi> <mi>k</mi> </mrow> </msub> </mrow> <mi>m</mi> </mfrac> </mrow>
<mfenced open = "" close = ""> <mtable> <mtr> <mtd> <mrow> <mi>T</mi> <mrow> <mo>(</mo> <mrow> <mi>j</mi> <mo>|</mo> <mi>i</mi> </mrow> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mi>L</mi> <msub> <mi>L</mi> <mrow> <mi>i</mi> <mo>-</mo> <mn>1</mn> </mrow> </msub> </mfrac> <msub> <mi>r</mi> <mrow> <mi>i</mi> <mo>-</mo> <mn>1</mn> </mrow> </msub> <mo>+</mo> <msubsup> <mi>&amp;Sigma;</mi> <mrow> <mi>k</mi> <mo>=</mo> <mi>i</mi> </mrow> <mrow> <mi>j</mi> <mo>-</mo> <mn>1</mn> </mrow> </msubsup> <msub> <mi>r</mi> <mi>k</mi> </msub> </mrow> </mtd> <mtd> <mrow> <mi>i</mi> <mo>&gt;</mo> <mn>1</mn> <mo>,</mo> <mi>n</mi> <mo>&amp;GreaterEqual;</mo> <mi>j</mi> <mo>&amp;GreaterEqual;</mo> <mi>i</mi> </mrow> </mtd> </mtr> </mtable> </mfenced>
Wherein, the T (j | i) is i for first website in front of current vehicle position, and the prediction that vehicle reaches website j takes; The riFor slave site i to website i+1, m nearest time-consuming average values;The RikFor slave site i to website i+1, observation K-th reciprocal arrived takes;The L ' is distance of the current vehicle position to first website in front, if vehicle is just at certain On individual website, the value is 0;
The LiFor website i to website i+1 distance;The n is website sum.
3. a kind of real-time public communication information service system according to claim 1, it is characterised in that:The vehicle monitoring module Monitoring travel condition of vehicle in real time, the travel condition of vehicle includes off-line state, stops same position state, for a long time Determine target line state, determining target direction state and normal operating condition, vehicle original state is off-line state And one kind in above-mentioned travel condition of vehicle is in all the time, the judgement of the vehicle off-line state is driven by user's inquiry request, The vehicle stop for a long time same position state, determining target line state, determining target direction state and The gps data that the judgement of normal operating condition is uploaded by vehicle drives, and order judges as follows:
Step 1:Receive the gps data that a vehicle is uploaded;
Step 2:Whether judge vehicle-state is to rest on same position for a long time;
If it is, jumping to step 1, the judgement of next gps data is carried out;Otherwise, with regard to the judgement of progress NextState;
Step 3:Whether judge vehicle-state is to determine target line;
If it is, jumping to step 1, the judgement of next gps data is carried out;Otherwise, with regard to the judgement of progress NextState;
Step 4:Whether judge vehicle-state is to determine target direction;
If it is, jumping to step 1, the judgement of next gps data is carried out;Otherwise, with regard to the judgement of progress NextState;
Step 5:Whether be normal operation, after the completion of judgement, jump to step 1, carry out next gps data if judging vehicle-state Judgement.
4. a kind of real-time public communication information service system according to claim 3, it is characterised in that:The vehicle off-line state Judgement do not upload gps data on the time span threshold values of setting for vehicle.
5. a kind of real-time public communication information service system according to claim 3, it is characterised in that:The vehicle stops for a long time Staying the judgement of same position state includes same position and the judgement stopped for a long time, and the judgement of the same position is before vehicle GPS location error of coordinate distance is less than or equal to twice of GPS location error twice afterwards, and what the long-time was stopped judges then as car The time for resting on a certain position has exceeded the time span of setting, and the judgement that the long-time is stopped is in the same position After the judgement put.
6. a kind of real-time public communication information service system according to claim 3, it is characterised in that:The score of the vehicle Road is the circuit that vehicle is currently run, and the vehicle is determining the gps data that the judgement of target line state uploads for vehicle In position coordinates not on specified vehicle working line, while vehicle continues to upload continuous gps data.
7. a kind of real-time public communication information service system according to claim 3, it is characterised in that:The vehicle target direction Up and down direction including vehicle, the vehicle determining target direction state judgement for vehicle target line Through determining, up and down direction is uncertain and vehicle continuously reports gps data;The judgement of the vehicle normal operating condition Target line for vehicle is had determined and the up and down direction in target line is also determined.
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