CN110827561B - Road condition information forecasting system and method based on vehicles - Google Patents
Road condition information forecasting system and method based on vehicles Download PDFInfo
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Abstract
The invention provides a road condition information forecasting system and method based on vehicles, which can intelligently provide corresponding decision information to drivers according to the familiarity of the drivers with surrounding information, environmental change factors, vehicle running tracks, expected destination routes and other factors, wherein the decision information comprises road condition information, road use information, meteorological disaster information, various auxiliary driving information and the like. Different from the prior art that only one route is recommended according to the information of the starting point and the destination set by the user and is not changed any more, the technical scheme of the invention can enable the driver to automatically receive the updated decision information in the traveling process, and the decision information is actively pushed without the intervention of the driver, so that the driving efficiency is improved to the maximum extent and the safety is ensured. According to the scheme, various possible factors are considered, including the actual road condition in the actual data acquisition, the inferred road condition based on the actual data acquisition, the predicted road condition based on the inferred road condition and the like.
Description
Technical Field
The invention belongs to the technical field of communication, and particularly relates to a road condition information forecasting system and method based on vehicles.
Background
At present, a driver often receives road condition information when driving a vehicle on a road, and makes a prejudgment on the road condition ahead according to the road condition information to plan a road route. The road condition is a technology provided aiming at the congestion condition of the current urban traffic road, and the technology can reflect the traffic road condition in an area in real time, guide the best and quickest driving route and improve the use efficiency of roads and vehicles.
With the rapid development of the automobile industry, more and more vehicle-mounted devices are developed, such as a vehicle-mounted navigation system, a gps (global Positioning system) Positioning, a tts (text to speech) broadcasting, a vehicle-mounted DVD playing, a vehicle-mounted communication, and the like. Currently, the application of positioning the current Position of a vehicle by using a GPS (Global positioning system) is widespread. Vehicle-mounted navigation devices formed by combining a positioning system with electronic map data are also increasingly applied to daily life of people. At present, vehicle navigation has the functions of real-time road condition prediction, route optimization and congestion avoidance, but the functions can be realized only by starting an automobile, starting navigation, inputting a destination and starting navigation, and the operation is complex and not intelligent enough.
In order to achieve intelligent road condition information acquisition, US patent 5173691 discloses a real-time traffic flow data fusion method, which provides real-time traffic information by using a mobile communication network and the internet, so that the real-time traffic information is accurate and fast, but is completely dependent on the mobile communication network and the internet. When an extreme condition or network abnormal interruption occurs, the system can not work, and traffic accidents and even traffic network paralysis can be caused. Chinese patent application CN201210573174 provides a method for providing real-time traffic information, which obtains vehicle position, driving purpose and driving condition information through a Global Positioning System (GPS), and uploads the information to a server, and the server calculates and processes the information to obtain traffic information, which is sent to a user terminal by a traffic information provider. However, in special road environments such as tunnels, the GPS signal is weak, so that accurate location information cannot be provided, and the technology also needs to be realized by depending on a network; chinese patent CN200510100141 discloses a real-time traffic information system and a navigation method thereof, which determines congestion conditions by means of traffic information issued by paging stations, but most of them provide traffic information by drivers, so the accuracy and effectiveness are not good enough; chinese utility model patent CN201320735586 discloses a temporary road condition information forecasting apparatus, which utilizes a vehicle-mounted radar and a single chip microcomputer to process information and acquire road condition information around a vehicle. The information of surrounding road conditions is acquired more accurately and timely through the vehicle-mounted radar, but the detection range of the vehicle-mounted radar is limited, and is only a range of hundreds of meters around the vehicle; the chinese patent document discloses a navigation route planning method, a system and a navigation terminal with patent number 201611262788.9, when a planned route is generated, a common route corresponding to the planned route is searched from a navigation history record, whether the planned route is overlapped with the searched common route is judged, if not, the common route is obtained as current road condition information, and the current road condition information of the common route is prompted, although the system can prompt a driver to know the current road condition of the common route when the planned route is not in accordance with the common route, so that the driver knows the reason for changing the route, and the travel delay is avoided. However, the system needs to judge and prompt the common route when the vehicle is started to navigate and search for the route planning. The method has the advantages that the vehicle route information cannot be acquired before the automobile is started, waiting time is needed, meanwhile, operation is needed, and the navigation is not intelligent and convenient enough. In chinese patent document No. CN101571401A, a navigation system is disclosed, which considers the traffic restriction factor of the road when planning the navigation path, but does not consider actively forecasting the road condition information to the user and further avoiding the path in the congested area; the degree of fit with the actual traffic and vehicle conditions is not high enough, and the device is not humanized.
In view of the above, the prior art is obviously inconvenient and disadvantageous in practical use, and needs to be improved.
Disclosure of Invention
In order to solve the technical problems, the invention provides a road condition information forecasting system and method based on vehicles.
By adopting the technical scheme of the invention, corresponding decision information including road condition information, road use information, meteorological disaster information, various auxiliary driving information and the like can be intelligently provided for the driver according to the familiarity of the driver with the surrounding information, environmental change factors, vehicle running tracks, expected destination routes and other factors. Different from the prior art that only one route is recommended according to the information of the starting point and the destination set by the user and is not changed any more, the technical scheme of the invention can enable the driver to automatically receive the updated decision information in the traveling process, and the decision information is actively pushed without the intervention of the driver, so that the driving efficiency is improved to the maximum extent and the safety is ensured.
In a first aspect of the present invention, a vehicle-based road condition information forecasting system is provided, which includes a traffic information monitoring system, a communication transmission subsystem, a central control subsystem, a path guidance subsystem, and an early warning subsystem.
The traffic information monitoring system is used for monitoring road conditions on a current driving route, wherein the road conditions comprise road facility information and weather condition information;
the communication transmission subsystem is used for transmitting the monitoring information obtained by the traffic information monitoring system to the central control subsystem;
the central control subsystem receives the monitoring information for summarizing processing and feeds back a control decision to the path guidance subsystem;
the path induction subsystem provides an adjustment strategy of the current navigation route through a navigation module according to the control decision;
and the early warning subsystem is used for sending out an early warning signal to prompt a driver when the adjustment strategy provided by the path induction subsystem fails to take effect.
As a first innovative point of the present invention, the central control subsystem receives the monitoring information for summary processing and feedback control decision, and includes:
setting a starting time point within a current preset time period, and acquiring position information of a preset number of vehicles on a current driving route, wherein the position information is a travel distance of the vehicles on a current road from the starting time point;
receiving road facility information, road use information, meteorological disaster information and graphic identification information which are acquired by the traffic information monitoring system within the current predetermined time period;
judging whether the position information is suitable for the current road condition or not based on the identification results of the road facility information, the road use information, the meteorological disaster information and the graphic identification information;
if not, a control decision is fed back to the path inducement subsystem.
As a second innovative point of the present invention, the collecting of the position information of the predetermined number of vehicles on the current driving route includes: the predetermined number is N, and the current predetermined time period comprises a plurality of time periods T1，......TN(ii) a In the j (j) th time period, the position information of the i (i) th vehicle is L (1)i，j，
Calculating the speed sequence V of the vehicle by adopting the following formulaij，VijThe average speed of the i (i ═ 1.... N) th vehicle in the j time period:
where t is calculated position information Li，jThe time node variable used;
calculating the velocity sequence VijIf at least one of the characteristic values is smaller than 0, judging that the position information is not suitable for the current road condition.
As another advantage of the present invention, if at least one of the characteristic values is smaller than 0, the path guidance subsystem provides an adjustment strategy for the current navigation route through the navigation module, predicts an adjustment direction of the current driving route according to the adjustment strategy, and determines whether the position information is suitable for a road condition on the driving route after the adjustment direction according to the road condition information on the driving route after the adjustment direction is monitored and obtained by the traffic information monitoring system.
Specifically, the traffic information on the driving route includes:
the road facility information mainly comprises information of a highway entrance/exit, a steep slope, a curve and the like;
the road use information comprises information such as local congestion indexes, speed limit signs, traffic accident indexes and dangerous case indexes;
weather condition information including wind speed, rainfall, weather forecast information, weather disaster information, and the like;
graphic identification information including road warnings, road signs, tunnels, bridges, lane markings, speed limit boards, and the like;
based on the identification results of the road facility information, the road use information, the weather disaster information and the graphic identification information, whether the position information is suitable for the current road condition is judged, and the method specifically comprises the following steps:
obtaining a speed sequence V of the same vehicle, e.g. the x-th vehiclex1，Vx2，...Vxj...VxN}；
Calculating the difference between all adjacent speeds to obtain a difference sequence { VxN-VxN-1，VxN-1-VxN-2，...V2-V1}；
Will be describedSaid sequence of difference values and said plurality of time periods T1，......TNThe visualization is embodied on a two-dimensional plane by drawing;
obtaining the time periods T corresponding to the plurality of time periods1，......TNIdentifying results of the road facility information, the road use information, the meteorological disaster information and the graphic identification information;
judging whether the identification result corresponds to the variation trend of the difference value sequence in the corresponding time period of the two-dimensional plane graph,
and if not, judging that the position information is not suitable for the current road condition.
As a further innovation of the invention, the speed sequence V based on the vehicle is usedijPredicting a speed sequence of the vehicle in a next predetermined time period:
wherein the content of the first and second substances,
is the speed sequence of the vehicle in the P-th preset time period;
therefore, the method can predict the future speed sequence based on the existing speed sequence, thereby avoiding repeated calculation; after obtaining the future speed sequence, it can predict whether the future road condition is suitable according to the same method.
As a further innovative aspect of the present invention, the speed sequence of the vehicle in the P-th predetermined time period is obtained
Then, the method further comprises the following steps:
computing
And
the fit between:
to represent
The constituent determinant or matrix traces; namely, it is
In the technical scheme of the invention, the current scheduled time period comprises a plurality of time periods T1，......TNMay be identical to the number N of vehicles collecting the predetermined number, i.e. VijThe matrix is just an N-order matrix or an N-order determinant;
however, if not kept consistent, e.g. when the next predetermined time period comprises a plurality of time periods T1，......TN.... the number of m does not affect the above
In this case, the conventional trace definition can be broadly understood and still be based on
Calculating; likewise, the conventional feature vector can be broadly understood, for example, to calculate the velocity sequence VijIf the vector sequence forms a matrix VijFor m rows and N columns, but m ≠ N, then only V needs to be calculatedijThe characteristic vector of the min { m, N } order matrix formed by the min { m, N } row min { m, N } column elements in the previous min { m, N } row;
if the | mu | is smaller than a preset threshold value, the prediction effect is satisfied; the predetermined threshold is a set positive number, for example a positive number less than 1.
Otherwise, the prediction effect is not satisfied, the prediction is stopped, a starting time point is reset, and the position information of a preset number of vehicles on the current driving route is collected in a preset time period.
In a second aspect of the present invention, a method for forecasting road condition information based on vehicles is provided, the method is implemented based on the information forecasting system, and includes the following steps:
s1: setting a starting time point within a P-th preset time period, and acquiring position information of a preset number of vehicles on a current driving route, wherein the position information is a traveling distance of the vehicles on a current road from the starting time point;
s2: calculating the speed sequence of the vehicle in the P-th preset time period by adopting the following formula based on the acquired position information
S3: based on the speed sequence V of the vehicle at the current timeijPredicting a speed sequence of the vehicle within a P +1 predetermined time period:
s4: calculating the velocity sequence
Characteristic value of
And
s5: judgmentWhether or not there is a break
If so, go to step S6:
s6: and providing an adjustment strategy of the current navigation route through a navigation module, predicting the adjustment direction of the current driving route according to the adjustment strategy, monitoring and obtaining road condition information on the driving route after the adjustment direction according to the traffic information monitoring system, and judging whether the position information is suitable for the road condition on the driving route after the adjustment direction.
It should be noted that the steps described above are embodied when the next predetermined time period includes a plurality of time periods T1，......TN.... times, m (m and N may be the same or different).
As a further preferred aspect of the present invention, the method further includes, after step S2:
s21: obtaining speed sequence of the Xth vehiclex1，Vx2，...Vxj...VxN}；x＝1，2，......，N；
S22: calculating the difference between all adjacent speeds to obtain a difference sequence { VxN-VxN-1，VxN-1-VxN-2，...V2-V1}；
S23: comparing the difference sequence with the plurality of time periods T1，......TNThe visualization is embodied on a two-dimensional plane by drawing;
s24: obtaining the time periods T corresponding to the plurality of time periods1，......TNIdentifying results of the road facility information, the road use information, the meteorological disaster information and the graphic identification information;
s25: judging whether the identification result is the same as the variation trend of the difference value sequence in the corresponding time period of the two-dimensional plane graph,
and if not, judging that the position information is not suitable for the current road condition.
As a further preferred aspect of the present invention, the method further includes, after step S3:
s31 calculation
And
the fit between:
watch holder
The constituent determinant or matrix traces; namely, it is
S32, if the | mu | is smaller than the preset threshold, the prediction effect is satisfied; proceeding to step S6;
otherwise, the prediction effect is not satisfied, the prediction is stopped, and the step S1 is returned to.
In a third aspect of the present invention, a human-computer interaction client application for an automobile is provided, which is used for implementing the vehicle-based road condition information forecasting method. The client application comprises a set of instructions (program code) or other functional descriptive material in a code module that may, for example, be resident in the random access memory of the computer. Until required by the computer, the set of instructions may be stored in another computer memory, for example, in a hard disk drive, or in a removable memory such as an optical disk (for eventual use in a CD RON) or floppy disk (for eventual use in a floppy disk drive), or downloaded via the Internet or other computer network. Accordingly, the present invention may be embodied as a computer program product or a computer-readable storage medium for use in a computer. In addition, although the various methods described are conveniently implemented in a general purpose computer selectively activated or reconfigured by software, one of ordinary skill in the art would also recognize that such methods may be carried out in hardware, in firmware, or in more specialized apparatus constructed to perform the required method steps. Functional descriptive material is information that imparts functionality to a machine. Functional descriptive material includes, but is not limited to, computer programs, instructions, rules, facts, definitions of computable functions, objects, and data structures.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
In the drawings:
fig. 1 is a frame diagram of a vehicle-based road condition information forecasting system according to the present embodiment;
FIG. 2 is a schematic diagram of an implementation of a subsystem for collecting location information according to the present embodiment;
fig. 3 is a visualized two-dimensional plan view of the road condition information forecasting system of the embodiment;
fig. 4 is a detailed step diagram of the method for forecasting road condition information based on vehicles according to the embodiment;
fig. 5 is a more preferred flowchart of the method for forecasting road condition information based on vehicles according to the present embodiment.
DETAILED DESCRIPTION OF EMBODIMENT (S) OF INVENTION
It should be noted that, in the present specification, the embodiments are all described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other. For the system-class embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
Referring to fig. 1, a frame diagram of a vehicle-based road condition information forecasting system according to the present embodiment is shown. The road condition information forecasting system based on the vehicle comprises a traffic information monitoring system, a communication transmission subsystem, a central control subsystem, a path guidance subsystem and an early warning subsystem.
The traffic information monitoring system is used for monitoring road conditions on a current driving route, wherein the road conditions comprise road facility information and weather condition information;
the communication transmission subsystem is used for transmitting the monitoring information obtained by the traffic information monitoring system to the central control subsystem;
the central control subsystem receives the monitoring information for summarizing processing and feeds back a control decision to the path guidance subsystem;
the path induction subsystem provides an adjustment strategy of the current navigation route through a navigation module according to the control decision;
and the early warning subsystem is used for sending out an early warning signal to prompt a driver when the adjustment strategy provided by the path induction subsystem fails to take effect.
As a preferred embodiment, the central control subsystem receives the monitoring information for summary processing, and feeds back a control decision, including:
setting a starting time point within a current preset time period, and acquiring position information of a preset number of vehicles on a current driving route, wherein the position information is a travel distance of the vehicles on a current road from the starting time point;
receiving road facility information, road use information, meteorological disaster information and graphic identification information which are acquired by the traffic information monitoring system within the current predetermined time period;
judging whether the position information is suitable for the current road condition or not based on the identification results of the road facility information, the road use information, the meteorological disaster information and the graphic identification information;
if not, a control decision is fed back to the path inducement subsystem.
In this example, for the sake of generality, referring to fig. 2, the collecting the position information of the predetermined number of vehicles on the current driving route includes: the predetermined number is N, and the current predetermined time period comprises a plurality of time periods T1，......TN(ii) a In the j (j) th time period, the position information of the i (i) th vehicle is L (1)i，j，
Calculating the speed sequence V of the vehicle by adopting the following formulaij，VijAn average speed of an i (i ═ 1.... N) th vehicle in a j time period;
where t is calculated position information Li，jThe time node variable used;
as an illustrative example, if the starting time point T is 0, then in the time period T1In (1), there is a time node interval [0, T1]；t∈[0，T1](ii) a At t ═ 0, L i，j0; at t ≠ 0, Li，jIncrease with increasing t, i.e. Li，jIs a dependent variable of t, and t is a time node independent variable; therefore, an integral equation may be used;
calculating the velocity sequence ViiIf at least one of the characteristic values is smaller than 0, judging that the position information is not suitable for the current road condition.
As previously mentioned, the general feature vector is broadly understood if m is not equal to N, e.g. the velocity sequence V is calculatedijIf the vector sequence forms a matrix VijFor m rows and N columns, but m ≠ N, then only V needs to be calculatedijThe characteristic vector of the min { m, N } order matrix formed by the min { m, N } row min { m, N } column elements in the previous min { m, N } row;
the characteristic value here means a velocity sequence VijComposed matrix (or V)ijThe characteristic value of min { m, N } order matrix composed of min { m, N } row min { m, N } column elements); as a two-dimensional matrix, with at least 2 eigenvalues (including the case where two eigenvalues are equal);
if at least one of the characteristic values is smaller than 0, the path guidance subsystem provides an adjustment strategy of the current navigation route through a navigation module, predicts the adjustment direction of the current driving route according to the adjustment strategy, and judges whether the position information is suitable for the road condition on the driving route after the adjustment direction according to the road condition information on the driving route after the adjustment direction monitored and obtained by the traffic information monitoring system.
Specifically, the traffic information on the driving route includes:
the road facility information mainly comprises information of a highway entrance/exit, a steep slope, a curve and the like;
the road use information comprises information such as local congestion indexes, speed limit signs, traffic accident indexes and dangerous case indexes;
weather condition information including wind speed, rainfall, weather forecast information, weather disaster information, and the like;
graphic identification information including road warnings, road signs, tunnels, bridges, lane markings, speed limit boards, and the like;
based on the identification results of the road facility information, the road use information, the weather disaster information and the graphic identification information, whether the position information is suitable for the current road condition is judged, and the method specifically comprises the following steps:
obtaining a speed sequence V for the same vehicle, e.g. the Xth vehiclex1，Vx2，...Vxj...VxN}；
Calculating the difference between all adjacent speeds to obtain a difference sequence { VxN-VxN-1，VxN-1-VxN-2，...V2-V1}；
Comparing the difference sequence with the plurality of time periods T1，......TNThe visualization is embodied on a two-dimensional plane by drawing;
obtaining the time periods T corresponding to the plurality of time periods1，......TNIdentifying results of the road facility information, the road use information, the meteorological disaster information and the graphic identification information;
judging whether the identification result is the same as the variation trend of the difference value sequence in the corresponding time period of the two-dimensional plane graph,
and if not, judging that the position information is not suitable for the current road condition.
If the characteristic values are all larger than 0, the speed sequence V is based on the current timeijPredicting a speed sequence of the vehicle within a next predetermined time period;
referring to fig. 3, fig. 3 is an effect diagram of suitability of a visualized two-dimensional plane diagram of the road condition information forecasting system of the embodiment.
In FIG. 3, the recognition result shows, TjTo Tj+1In the time period, the road speed limit is changed from 80 to 120, and on the road section with the speed limit of 80, the road section comprises rainy and snowy weather (represented by a first icon on the mark of the speed limit 80) and a two-lane mark (represented by a second icon on the mark of the speed limit 80); and no obvious warning information exists on the road with the speed limit of 120. If the road condition is normal, the speed should be gradually increased, and the speed difference should be gradually increased; however, comparing the recognition result with the difference sequence, it can be seen that the two differences indicated by the arrow are in a downward trend, which indicates that the road condition of the road section is abnormal, i.e. the position information does not adapt to the current road condition.
Of course, fig. 3 is merely a schematic illustration. One skilled in the art will appreciate that other two-dimensional visualization indicators may be used to quantify this evaluation.
Referring to fig. 4, the detailed steps of the method for forecasting road condition information based on vehicles in this embodiment are shown, and the main steps include:
s1: setting a starting time point within a P-th preset time period, and acquiring position information of a preset number of vehicles on a current driving route, wherein the position information is a traveling distance of the vehicles on a current road from the starting time point;
s2: calculating the speed sequence of the vehicle in the P-th preset time period by adopting the following formula based on the acquired position information
S3: based on the speed sequence V of the vehicle at the current timeijPredicting a speed sequence of the vehicle within a P +1 predetermined time period:
s4: calculating the velocity sequence
Characteristic value of
And
s5: determine if there is
If so, go to step S6:
s6: and providing an adjustment strategy of the current navigation route through a navigation module, predicting the adjustment direction of the current driving route according to the adjustment strategy, monitoring and obtaining road condition information on the driving route after the direction is adjusted according to the traffic information monitoring system, and judging whether the position information is suitable for the road condition on the driving route after the direction is adjusted.
Fig. 5 is a more preferred flowchart of the method for forecasting road condition information based on vehicles according to the present embodiment based on fig. 4. Namely, after the step S2, the method further includes:
s21: obtaining speed sequence of the Xth vehiclex1，Vx2，...Vxj...VxN}；x＝1，2，......，N；
S22: calculating the difference between all adjacent speeds to obtain a difference sequence { VxN-VxN-1，VxN-1-VxN-2，...V2-V1}；
S23: comparing the difference sequence with the plurality of time periods T1，......TNThe visualization is embodied on a two-dimensional plane by drawing;
s24: obtaining the time periods T corresponding to the plurality of time periods1，......TNIdentifying results of the road facility information, the road use information, the meteorological disaster information and the graphic identification information;
s25: judging whether the identification result is the same as the variation trend of the difference value sequence in the corresponding time period of the two-dimensional plane graph,
if not, judging that the position information is not suitable for the current road condition; adjustments are required.
If yes, the next step is entered to continue the flow.
Therefore, by adopting the technical scheme of the invention, corresponding decision information including road condition information, road use information, weather disaster information, various auxiliary driving information and the like can be intelligently provided for the driver according to the familiarity of the driver with the surrounding information, environmental change factors, vehicle running tracks, expected destination routes and other factors. Different from the prior art that only one route is recommended according to the information of the starting point and the destination set by the user and is not changed any more, the technical scheme of the invention can enable the driver to automatically receive the updated decision information in the traveling process, and the decision information is actively pushed without the intervention of the driver, so that the driving efficiency is improved to the maximum extent and the safety is ensured.
According to the scheme, various possible factors are considered, including the actual road condition in the actual data acquisition, the inferred road condition based on the actual data acquisition, the predicted road condition based on the inferred road condition and the like, the road condition prediction information is provided more comprehensively for a driver to make a decision, and an adjusting strategy can be provided when the road condition is not ideal.
With reference to the aforementioned computer system, a preferred implementation of the invention might also be a client application, namely, a set of instructions (program code) or other functional descriptive material in a code module that may, for example, be resident in the random access memory of the computer. Until required by the computer, the set of instructions may be stored in another computer memory, for example, in a hard disk drive, or in a removable memory such as an optical disk (for eventual use in a CD RON) or floppy disk (for eventual use in a floppy disk drive), or downloaded via the Internet or other computer network. Thus, the present invention may be implemented as a computer program product for use in a computer. In addition, although the various methods described are conveniently implemented in a general purpose computer selectively activated or reconfigured by software, one of ordinary skill in the art would also recognize that such methods may be carried out in hardware, in firmware, or in more specialized apparatus constructed to perform the required method steps. Functional descriptive material is information that imparts functionality to a machine. Functional descriptive material includes, but is not limited to, computer programs, instructions, rules, facts, definitions of computable functions, objects, and data structures.
The method and system provided by the present invention are described in detail above, and the principle and the implementation of the present invention are explained in the present document by applying specific examples, and the above description of the examples is only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (7)
1. A road condition information forecasting system based on vehicles comprises a traffic information monitoring system, a communication transmission subsystem, a central control subsystem and a path guidance subsystem;
the traffic information monitoring system is used for monitoring road conditions on a current driving route, and the road conditions comprise road facility information and weather condition information;
the communication transmission subsystem is used for transmitting the monitoring information obtained by the traffic information monitoring system to the central control subsystem;
the central control subsystem receives the monitoring information for summarizing processing and feeds back a control decision to the path guidance subsystem;
the path induction subsystem provides an adjustment strategy of the current navigation route through a navigation module according to the control decision;
the method is characterized in that:
the central control subsystem receives the monitoring information for summary processing and feeds back a control decision, and the control decision comprises the following steps: setting a starting time point within a current preset time period, and acquiring position information of a preset number of vehicles on a current driving route, wherein the position information is a travel distance of the vehicles on a current road from the starting time point;
receiving road facility information, road use information, meteorological disaster information and graphic identification information which are acquired by the traffic information monitoring system within the current predetermined time period;
judging whether the position information is suitable for the current road condition or not based on the identification results of the road facility information, the road use information, the meteorological disaster information and the graphic identification information;
if not, feeding back a control decision to the path guidance subsystem;
the system also comprises an early warning subsystem used for sending out an early warning signal to prompt a driver when the adjusting strategy provided by the path induction subsystem fails to take effect;
the collecting of the position information of the predetermined number of vehicles on the current driving route includes: said predetermined numberThe quantity is N, and the current predetermined time period comprises a plurality of time periods T1，......TN；
In the j time period, the position information of the ith vehicle is Li，jWherein i, j is E [1, N)]；
Calculating the speed sequence V of the vehicle by adopting the following formulaij，VijThe average speed of the ith vehicle in the jth time period;
calculating the velocity sequence ViiIf at least one of the characteristic values is smaller than 0, judging that the position information is not suitable for the current road condition.
2. The system according to claim 1, wherein if at least one of the characteristic values is smaller than 0, the path guidance subsystem provides an adjustment strategy for a current navigation route through a navigation module, predicts an adjustment direction of the current driving route according to the adjustment strategy, and determines whether the position information on the driving route after the adjustment direction is suitable for the road condition on the driving route after the adjustment direction according to the road condition information on the driving route after the adjustment direction monitored and obtained by the traffic information monitoring system.
3. The system according to claim 1, wherein the determining whether the location information is suitable for the current traffic conditions based on the recognition results of the asset information, the road usage information, the weather hazard information, and the graphic identification information includes:
obtaining speed sequence of the x-th vehicle Vx1，Vx2，...Vxj...VxN}；
Calculating the difference between all adjacent speeds to obtain a difference sequence { VxN-VxN-1，VxN-1-VxN-2，...V2-V1}；
Comparing the difference sequence with the plurality of time periods T1，......TNThe visualization is embodied on a two-dimensional plane by drawing;
obtaining the time periods T corresponding to the plurality of time periods1，......TNIdentifying results of the road facility information, the road use information, the meteorological disaster information and the graphic identification information;
judging whether the identification result corresponds to the variation trend of the difference value sequence in the corresponding time period of the two-dimensional plane graph,
and if not, judging that the position information is not suitable for the current road condition.
4. A method for forecasting road condition information based on vehicles, the method being implemented based on the information forecasting system of any one of claims 1 to 3, the method comprising the steps of:
s1: setting a starting time point within a P-th preset time period, and acquiring position information of a preset number of vehicles on a current driving route, wherein the position information is a traveling distance of the vehicles on a current road from the starting time point;
s2: calculating the speed sequence of the vehicle in the P-th preset time period by adopting the following formula based on the acquired position information
S3: speed sequence of the vehicle based on the current time
Predicting a speed sequence of the vehicle within a P +1 th predetermined time period:
s4: calculating the velocity sequence
Characteristic value of
And
s5: determine if there is
If so, go to step S6:
s6: and providing an adjustment strategy of the current navigation route through a navigation module, predicting the adjustment direction of the current driving route according to the adjustment strategy, monitoring and obtaining road condition information on the driving route after the adjustment direction according to the traffic information monitoring system, and judging whether the position information is suitable for the road condition on the driving route after the adjustment direction.
5. The method according to claim 4, further comprising, after the step S2:
s21: obtaining speed sequence of the x-th vehicle Vx1，Vx2，...Vxj...VxN}；x＝1，2，......，N；
S22: calculating the difference between all adjacent speeds to obtain a difference sequence { VxN-VxN-1，VxN-1-VxN-2，...V2-V1}；
S23: will be described inDifference sequence and the plurality of time periods T1，......TNThe visualization is embodied on a two-dimensional plane by drawing;
s24: obtaining the time periods T corresponding to the plurality of time periods1，......TNIdentifying results of the road facility information, the road use information, the meteorological disaster information and the graphic identification information;
s25: judging whether the identification result corresponds to the variation trend of the difference value sequence in the corresponding time period of the two-dimensional plane graph,
and if not, judging that the position information is not suitable for the current road condition.
6. The method according to claim 4, further comprising, after the step S3:
s31 calculation
And
the fit between:
wherein the content of the first and second substances,
to represent
Traces of constituent determinants;
s32, if the | mu | is smaller than the preset threshold, the prediction effect is satisfied; proceeding to step S6;
otherwise, the prediction effect is not satisfied, the prediction is stopped, and the step S1 is returned to.
7. A computer-readable storage medium having stored thereon a set of computer-executable instructions, which are executable by a human-computer interaction client application of an automobile for implementing the vehicle-based road condition information forecasting method according to any one of claims 5 to 6.
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