CN104240500A - Road condition information predicting method and system - Google Patents
Road condition information predicting method and system Download PDFInfo
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- CN104240500A CN104240500A CN201410421768.6A CN201410421768A CN104240500A CN 104240500 A CN104240500 A CN 104240500A CN 201410421768 A CN201410421768 A CN 201410421768A CN 104240500 A CN104240500 A CN 104240500A
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Abstract
The invention discloses a road condition information predicting method and system and belongs to the field of dynamic traffic information services. The road condition information predicting method comprises the steps that a vehicle networking server obtains vehicle position information sent by all mobile terminals; the vehicle networking server predicts the future road condition information of all road sections of a preset road according to the vehicle position information, wherein the future road condition information refers to the road condition information in a preset period of time from the current moment; the first mobile terminal sends a road condition information obtaining request to the vehicle networking server, wherein the road condition information obtaining request includes the road section identification of the first road section; the vehicle networking server determines the future road condition information of the first road section from the future road condition information of all the road sections of the preset road according to the road section identification of the first road section; the vehicle networking server sends the future road condition information of the first road section to the first mobile terminal. By the adoption of the road condition information predicting method and system, the problem that the timeliness and the reliability of road condition information are poor can be solved, and the timeliness and the reliability of road condition information are effectively improved. The road condition information predicting method and system are used for predicting road condition information.
Description
Technical field
The present invention relates to dynamic information service field, particularly a kind of traffic information Forecasting Methodology and system.
Background technology
Current, China's automobile pollution sharply increases, and the speed of development of road capacity is delayed, and the congestion in road phenomenon therefore brought also manifests day by day.Particularly during spring transportation, the mid-autumn, during the great festivals or holidays such as National Day, blocking up of road is even more serious, brings huge pressure to our control of traffic and road work.
In prior art, in order to reduce congestion in road, user can obtain the traffic information in current a certain section by media, or by the traffic information of vehicle-mounted navigating instrument to the current a certain section of car networked server request, then according to the traffic information obtained, user judges whether vehicle will pass through this section, when blocking up appears in this section current, avoid from then on passing through as far as possible, it should be noted that, car networking is a kind of with car Intranet, based on car border net and vehicle-mounted mobile internet, according to communication protocol and the Data Exchange Standard of agreement, between car and other equipment, carry out the network of wireless telecommunications and message exchange, this car networked server is the server for data interaction and storage in car networking.
But, the traffic information obtained by media or car networked server is the information of current time, road conditions due to each section are real-time change, cannot ensure after certain hour section, this section or identical road conditions, along with passage of time, the accuracy of the traffic information originally obtained reduces, and therefore the time-reliability of traffic information is lower.
Summary of the invention
In order to the problem that the time-reliability solving traffic information is lower, embodiments provide a kind of traffic information Forecasting Methodology and system.Described technical scheme is as follows:
On the one hand, provide a kind of traffic information Forecasting Methodology, for traffic information prognoses system, described method comprises:
Car networked server obtains the vehicle position information that each mobile terminal sends;
Described car networked server presets the following traffic information in each section of road according to described vehicle position information prediction, and described following traffic information is the traffic information in the preset time period from current time;
First mobile terminal sends traffic information to described car networked server and obtains request, and described traffic information obtains request and comprises: the section mark in the first section;
Described car networked server is identified at the following traffic information determining described first section in the following traffic information in each section of described default road according to the section in described first section;
The following traffic information in described first section is sent to described first mobile terminal by described car networked server.
Optionally, described vehicle position information comprises: the travel direction of the position of Current vehicle, the speed of vehicle and vehicle, and described following traffic information comprises vehicle flowrate,
Described car networked server presets the following traffic information in each section of road according to described vehicle position information prediction, comprising:
Described car networked server determines according to arbitrary vehicle position information the vehicle future location information that described vehicle position information is corresponding, and described vehicle future location information is the positional information of described vehicle in described preset time period;
Described car networked server, by adding up the travel direction of vehicle future location information corresponding to all described vehicle position informations and all described vehicles, determines the vehicle flowrate of each travel direction in each section in described preset time period.
Optionally, described following traffic information also comprises: block up indication information,
Described car networked server presets the following traffic information in each section of road according to described vehicle position information prediction, also comprises:
Described car networked server is according to the speed of vehicle of all described vehicle position informations and the travel direction of vehicle, obtain in described preset time period the speed of all vehicles of the first travel direction being positioned at the second section, described second section is the arbitrary section in described default road, and described first travel direction is the either direction in the preset travel direction in described second section;
Described car networked server is according to the speed of all vehicles of the first travel direction being positioned at described second section in described preset time period, determine the first average velocity, described first average velocity is in described preset time period, the vehicle average velocity of first travel direction in the second section;
The pre-set velocity threshold value in described first average velocity and described second section compares by described car networked server;
Described car networked server generates according to comparative result the indication information that blocks up, the described indication information that blocks up is used to indicate the jam situation in described second section, wherein, the pre-set velocity threshold value in described second section and the difference of described first average velocity larger, described in the block up rank of indication information higher.
Optionally, after the following traffic information in described first section is sent to described first mobile terminal by described car networked server, described method also comprises:
Described first mobile terminal adopts the rank of the indication information that to block up described in different color markings on electronic chart.
Optionally, described mobile terminal is mobile phone or car-mounted terminal.
On the other hand, a kind of traffic information prognoses system is provided, comprises:
Car networked server and multiple mobile terminal,
The vehicle position information that described car networked server sends for obtaining each mobile terminal;
Described car networked server is also for presetting the following traffic information in each section of road according to described vehicle position information prediction, described following traffic information is the traffic information in the preset time period from current time;
First mobile terminal is used for sending traffic information to described car networked server and obtains request, and described traffic information obtains request and comprises: the section mark in the first section, and described first mobile terminal is any one in described multiple mobile terminal;
Described car networked server also for be identified at each section of described default road according to the section in described first section following traffic information in determine the following traffic information in described first section;
Described car networked server is also for being sent to described first mobile terminal by the following traffic information in described first section.
Optionally, described vehicle position information comprises: the travel direction of the position of Current vehicle, the speed of vehicle and vehicle, and described following traffic information comprises vehicle flowrate,
Described car networked server specifically for:
Determine according to arbitrary vehicle position information the vehicle future location information that described vehicle position information is corresponding, described vehicle future location information is the positional information of described vehicle in described preset time period;
By adding up the travel direction of vehicle future location information corresponding to all described vehicle position informations and all described vehicles, determine the vehicle flowrate of each travel direction in each section in described preset time period.
Optionally, described following traffic information also comprises: block up indication information,
Described car networked server specifically for:
According to the speed of vehicle and the travel direction of vehicle of all described vehicle position informations, obtain in described preset time period the speed of all vehicles of the first travel direction being positioned at the second section, described second section is the arbitrary section in described default road, and described first travel direction is the either direction in the preset travel direction in described second section;
According to the speed of all vehicles of the first travel direction being positioned at described second section in described preset time period, determine the first average velocity, described first average velocity is in described preset time period, the vehicle average velocity of first travel direction in the second section;
The pre-set velocity threshold value in described first average velocity and described second section is compared;
The indication information that blocks up is generated according to comparative result, the described indication information that blocks up is used to indicate the jam situation in described second section, wherein, the pre-set velocity threshold value in described second section and the difference of described first average velocity larger, described in the block up rank of indication information higher.
Optionally, described first mobile terminal also for adopting the rank of the indication information that to block up described in different color markings on electronic chart.
Optionally, described mobile terminal is mobile phone or car-mounted terminal.
A kind of traffic information Forecasting Methodology that the embodiment of the present invention provides and system, because car networked server is according to the following traffic information in each section of the default road of described vehicle position information prediction, and this following traffic information is the traffic information in preset time period from current time, make the first mobile terminal can obtain the following traffic information in the first section, therefore, in preset time period, along with passage of time, traffic information still can be comparatively accurate, effectively improves the time-reliability of traffic information.
Accompanying drawing explanation
In order to be illustrated more clearly in the technical scheme in the embodiment of the present invention, below the accompanying drawing used required in describing embodiment is briefly described, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the environment map of a kind of traffic information prognoses system involved by a kind of traffic information Forecasting Methodology that the embodiment of the present invention provides;
Fig. 2 is a kind of traffic information Forecasting Methodology process flow diagram that the embodiment of the present invention provides;
Fig. 3 is the another kind of traffic information Forecasting Methodology process flow diagram that the embodiment of the present invention provides;
Fig. 4 is the vehicle travel situations schematic diagram that the embodiment of the present invention provides;
Fig. 5 is a kind of traffic information prognoses system structural representation that the embodiment of the present invention provides.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly, below in conjunction with accompanying drawing, embodiment of the present invention is described further in detail.
Fig. 1 shows the environment map of a kind of traffic information prognoses system 00 involved by a kind of traffic information Forecasting Methodology that the embodiment of the present invention provides, this traffic information prognoses system 00 comprises multiple mobile terminal 001 and car networked server 002, and each mobile terminal 001 can be any one in mobile phone, palm PC, car-mounted terminal and navigating instrument; This car networked server 002 can communicate with mobile terminal 001, and process and the storage action of data can be carried out, in embodiments of the present invention, car networked server 002 can pass through GPRS (General Packet Radio Service with mobile terminal 001, general packet radio service technology) or the communication such as 3G (3rd Generation, G mobile communication) communicate.
The embodiment of the present invention provides a kind of traffic information Forecasting Methodology, as shown in Figure 2, for traffic information prognoses system as shown in Figure 1, the embodiment of the present invention is for the first mobile terminal, the concrete action of other mobile terminals can with reference to this first mobile terminal, this first mobile terminal is any one in the multiple mobile terminals described in Fig. 1, and the first section is the section that the first mobile terminal needs inquiry, and this traffic information Forecasting Methodology comprises:
Step 201, car networked server obtain the vehicle position information that each mobile terminal sends.
Each mobile terminal described refers to the mobile terminal normally carrying out vehicle position information monitoring in traffic information prognoses system, and this vehicle position information can comprise: the travel direction of the position of Current vehicle, the speed of vehicle and vehicle.
Step 202, car networked server preset the following traffic information in each section of road according to vehicle position information prediction, and this following traffic information is the traffic information in the preset time period from current time.
Following traffic information can comprise vehicle flowrate and the indication information that blocks up.
Step 203, the first mobile terminal send traffic information to car networked server and obtain request, and traffic information obtains request and comprises: the section mark in the first section.
Step 204, car networked server are identified at the following traffic information determining the first section in the following traffic information in each section of default road according to the section in the first section.
The following traffic information in the first section is sent to the first mobile terminal by step 205, car networked server.
In sum, because car networked server is according to the following traffic information in each section of the default road of vehicle position information prediction, and this following traffic information is the traffic information in preset time period from current time, make the first mobile terminal can obtain the following traffic information in the first section, therefore, in preset time period, along with passage of time, traffic information still can be comparatively accurate, effectively improves the time-reliability of traffic information.
Example, step 202 comprises:
According to arbitrary vehicle position information, car networked server can determine that the vehicle future location information that this vehicle position information is corresponding, vehicle future location information are the positional information of vehicle in preset time period; Then by adding up the travel direction of vehicle future location information corresponding to all vehicle position informations and all vehicles, the vehicle flowrate of each travel direction in each section in preset time period is determined.
Car networked server according to the travel direction of the speed of the vehicle of all vehicle position informations and vehicle, can obtain the speed being positioned at all vehicles of first travel direction in the second section in preset time period; Car networked server is according to the speed of all vehicles of the first travel direction being positioned at the second section in preset time period, determine the first average velocity, second section is the arbitrary section in default road, first travel direction is either direction first average velocity in the preset travel direction in the second section is in preset time period, the vehicle average velocity of first travel direction in the second section; The pre-set velocity threshold value in the first average velocity and the second section compares by car networked server; Car networked server generates according to comparative result and to block up indication information, and the indication information that blocks up is used to indicate the jam situation in the second section, wherein, the pre-set velocity threshold value in the second section and the difference of the first average velocity larger, the rank of the indication information that blocks up is higher.
Further, after step 205, first mobile terminal can be blocked up indication information by electronic chart display after receiving the following traffic information in the first section, and such as, this first mobile terminal adopts different color markings to block up the rank of indication information on electronic chart.
In sum, the traffic information Forecasting Methodology that the embodiment of the present invention provides, because car networked server is according to the following traffic information in each section of the default road of vehicle position information prediction, and this following traffic information is the traffic information in preset time period from current time, make the first mobile terminal can obtain the following traffic information in the first section, therefore, in preset time period, along with passage of time, traffic information still can be comparatively accurate, effectively improves the time-reliability of traffic information.
The embodiment of the present invention provides a kind of traffic information Forecasting Methodology, as shown in Figure 3, for traffic information prognoses system as shown in Figure 1, the embodiment of the present invention is for car-mounted terminal, the concrete action of other mobile terminals can with reference to this car-mounted terminal, this car-mounted terminal is any one in the multiple mobile terminals described in Fig. 1, and the first section is the section that car-mounted terminal needs inquiry, and this traffic information Forecasting Methodology comprises:
Step 301, car networked server obtain the vehicle position information that each mobile terminal sends.
Vehicle position information can comprise: the travel direction of the position of Current vehicle, the speed of vehicle and vehicle.Because vehicle is not when starting, be usually located in parking lot or garage, the traffic of its positional information on road does not affect substantially, therefore, vehicle position information in the embodiment of the present invention is generally positional information when vehicle travels or suspends on road, provided by the mobile terminal normally worked.After user starts vehicle, the unlatching of the vehicle position information monitoring function of the mobile terminal be positioned on vehicle can be triggered, mobile terminal correspondingly detects the position of Current vehicle, the speed of vehicle and the travel direction of vehicle, this mobile terminal can for being arranged on car-mounted terminal on vehicle or navigating instrument, also can for being placed on the mobile phone or panel computer etc. on vehicle, example, when obtaining current vehicle position, on the one hand, mobile terminal can arrange locating module, mobile terminal can obtain the position of Current vehicle by this locating module, on the other hand, the position of the Current vehicle that the locating module that mobile terminal also can receive vehicle self setting sends, such as, this locating module can be GPS (Global Positioning System, GPS), wherein, the position of Current vehicle can identify with longitude and latitude, when obtaining the speed of vehicle, mobile terminal can obtain running time and the operating range of vehicle, then calculates the speed of vehicle, and the knotmeter that also can be arranged by vehicle self obtains the speed of vehicle, or the speed of the vehicle of reception user input, when obtaining the travel direction of vehicle, mobile terminal by the travel direction of the change in location determination vehicle of Current vehicle, also can receive starting point and the destination of user's setting, determine the travel direction of vehicle according to this starting point and destination.
Step 302, car networked server preset the following traffic information in each section of road according to vehicle position information prediction.
This default road is any one or more road that traffic information prognoses system can be monitored, following traffic information is the traffic information in the preset time period from current time, in practical application, this following traffic information can comprise the traffic information of current time, also the traffic information of current time can not be comprised, this following traffic information of the invention process example assumes comprises the traffic information of current time, this preset time period specifically can be arranged according to the road conditions of default road, example, when this default road is highway, this preset time period can be set to 10 minutes, when this default road is common street, this preset time period can be set to 30 minutes.It should be noted that, time information can also be comprised in vehicle position information, this time information is for identifying the generation moment of this vehicle position information, this generation moment can as current time, because the communication delay of mobile terminal and car networked server is less, moment or the car networked server that also mobile terminal can be sent vehicle position information receive the moment of this vehicle position information as current time, and the embodiment of the present invention does not limit this.Such as, current time is 9:00, if preset time period is set to 30 minutes, then following traffic information is the traffic information of 9:00-9:30.
Optionally, following traffic information can comprise vehicle flowrate and the indication information that blocks up, and wherein, vehicle flowrate is used to indicate by being queried the number of vehicles in section in the unit interval, and the indication information that blocks up is used to indicate the jam situation being queried section.The embodiment of the present invention is for first travel direction in the second section, second section is the arbitrary section in default road, first travel direction is the either direction in the preset travel direction in the second section, then the following traffic information that car networked server presets each section of road according to vehicle position information prediction specifically comprises:
On the one hand, car networked server presets the vehicle flowrate in each section of road according to vehicle position information prediction.
Example, car networked server determines according to arbitrary vehicle position information the vehicle future location information that this vehicle position information is corresponding, and this vehicle future location information is the positional information of vehicle in preset time period.Such as, the positional information of mobile terminal a to vehicle A is monitored, vehicle position information to the vehicle A of car networked server transmission comprises: the position of Current vehicle A, the speed of vehicle A and the travel direction of vehicle A, suppose as shown in Figure 4, the position of Current vehicle A is north latitude 39.6 ", east longitude 115.9 ", the speed of vehicle A is 70km/h (thousand ms/h), travel direction is x direction in Fig. 4, then the speed of vehicle A can be multiplied by running time Tmin (minute) and obtain the distance that this vehicle A travels Tmin in the x-direction, be north latitude 39.6 according to the position of Current vehicle A ", east longitude 115.9 " and the distance travelling Ts in the x-direction that calculates can calculate position apart from vehicle A during current time Ts.
Car networked server, by adding up the travel direction of vehicle future location information corresponding to all vehicle position informations and all vehicles, determines the vehicle flowrate of each travel direction in each section in preset time period.
Suppose that vehicle position information that car networked server obtains is respectively the vehicle position information of vehicle A, B, C and D, then the travel direction of adding up vehicle future location information corresponding to all vehicle position informations of obtaining and all vehicles can be as shown in table 1.Each section generally includes both direction in embodiments of the present invention, is respectively first direction and second direction, and the sensing of this first direction and second direction is contrary.Example, in Fig. 4, x direction is the first direction in section 1, then the second direction in section 1 is contrary with the sensing in x direction, then when apart from current time 5min, the first direction in section 1 travels vehicle A and B, and the first direction in section 2 travels vehicle D, and the first direction in section 3 travels vehicle C; When apart from current time 10min, the first direction in section 1 travels vehicle A and B, and the first direction in section 2 travels vehicle D, and the second direction in section 2 travels vehicle C; When apart from current time 15min, the first direction in section 1 travels vehicle A, and the second direction in section 2 travels vehicle B and C, and the second direction in section 3 travels vehicle D; When apart from current time 20min, the first direction in section 1 travels vehicle A, and the second direction in section 2 travels vehicle B and C, and the second direction in section 3 travels vehicle D.It should be noted that, in practical application, the travel direction of the vehicle future location information that each vehicle position information that statistics obtains is corresponding and all vehicles is all the information of Time Continuous in preset time period, and the embodiment of the present invention just takes concrete several time points citings.
Table 1
On the other hand, car networked server presets the indication information that blocks up in each section of road according to vehicle position information prediction.
The first, car networked server according to the travel direction of the speed of the vehicle of all vehicle position informations and vehicle, can obtain the speed being positioned at all vehicles of first travel direction in the second section in preset time period.
Concrete, car networked server can according to the travel direction of the speed of the vehicle of all vehicle position informations and vehicle, determine all vehicles of the first travel direction being positioned at the second section in preset time period, then in all vehicle position informations, inquiry obtains the speed of this all vehicle.This second section of the invention process example assumes first direction that to be section 1, first travel direction in table 1 be in table 1, then all vehicles being positioned at first travel direction in the second section in preset time period comprise: when apart from current time 5min, vehicle A and B; When apart from current time 10min, vehicle A and B; When apart from current time 15min, vehicle A; When apart from current time 20min, vehicle A.Car networked server can inquire about the speed obtaining this vehicle A and B respectively in all vehicle position informations.
The second, car networked server is according to the speed of all vehicles of the first travel direction being positioned at the second section in preset time period, determines the first average velocity.
First average velocity is in preset time period, the vehicle average velocity of first travel direction in the second section.This first average velocity comprises the vehicle average velocity in multiple moment.
Example, when apart from current time 5min, travel and have vehicle A and B at the vehicle of first travel direction in the second section, when namely the average velocity of calculating vehicle A and B obtain apart from current time 5min, travel the vehicle average velocity of the first travel direction in the second section, in like manner, at distance current time 10min, 15min, during 20min, travel and also can calculate at the vehicle average velocity of first travel direction in the second section, then the first average velocity comprises apart from current time 5min, 10min, 15min, during 20min, travel the vehicle average velocity of the first travel direction in the second section.It should be noted that, in practical application, the first average velocity is the velocity information of Time Continuous in preset time period, and the embodiment of the present invention just takes the average velocity citing of concrete several time points.
Three, the pre-set velocity threshold value in the first average velocity and the second section compares by car networked server.
In practical application, each section is according to the lane design situation in its section, section load-bearing capacity can design corresponding velocity range, this pre-set velocity threshold value is generally the speed maximal value in this velocity range, such as, the velocity range in section 1 is [60km/h, 200km/h], then pre-set velocity threshold value is 200km/h.Suppose that the vehicle average velocity that the first average velocity of first travel direction in the second section comprises apart from current time 5min is 100km/h, vehicle average velocity apart from current time 15min is 180km/h, vehicle average velocity apart from current time 20min is 60km/h, and the vehicle average velocity apart from current time 25min is 10km/h.
Four, car networked server generates according to comparative result the indication information that blocks up.
The indication information that blocks up is used to indicate the jam situation in the second section.Wherein, the pre-set velocity threshold value in the second section and the difference of the first average velocity larger, the rank of the indication information that blocks up is higher.
Example, car networked server can arrange difference interval, each difference interval is provided with the rank of the indication information that blocks up accordingly, difference is done to the pre-set velocity threshold value in the second section and the first average velocity and obtains difference, and this difference and difference interval are compared, to determine belonging to this difference that difference is interval, and determine to block up accordingly the rank of indication information in difference interval belonging to this difference.Suppose that difference is interval as shown in table 2 with the corresponding relation of the rank of the indication information that blocks up, arrange the rank of the interval indication information that blocks up accordingly of each difference according to the concrete condition in section, numerical value is larger, represents rank higher, then jam situation is more serious.Such as, it is 100km/h that the pre-set velocity threshold value in the second section and the first average velocity do the difference that difference do not obtain apart from current time 5min, rank apart from the indication information that blocks up of current time 15min is 20km/h, difference apart from current time 20min is 140km/h, and the rank apart from the indication information that blocks up of current time 25min is 190km/h.After the difference interval of recording with table 2 compares, the rank determining the indication information that blocks up apart from current time 5min is 3, rank apart from the indication information that blocks up of current time 15min is 1, difference apart from current time 20min is 4, rank apart from the indication information that blocks up of current time 25min is 5, time then apart from current time 25min, the jam situation of first travel direction in the second section is the most serious.
Table 2
| Difference is interval | To block up the rank of indication information |
| [0km/h，40km/h) | 1 |
| [40km/h，80km/h) | 2 |
| [80km/h，120km/h) | 3 |
| [120km/h，160km/h) | 4 |
| [160km/h，200km/h] | 5 |
Especially, when following traffic information comprises the traffic information of current time, car networked server directly can determine current traffic information according to the traffic information of current time, car networked server also according to the method for step 302, can calculate the traffic information in each section apart from current time 0min.
Example, when car networked server directly determines current traffic information according to the traffic information of current time, car networked server by all positions of vehicle position information Current vehicle of statistics and the travel direction of vehicle, can determine the vehicle flowrate of each travel direction in each section of current time.Car networked server according to the travel direction of the speed of the vehicle of all vehicle position informations and vehicle, can obtain the speed that current time is positioned at all vehicles of first travel direction in the second section; Car networked server is positioned at the speed of all vehicles of first travel direction in the second section according to current time, determine the second average velocity; The pre-set velocity threshold value in the second average velocity and the second section compares by car networked server; Car networked server generates the indication information that blocks up of current time according to comparative result.
Step 303, car-mounted terminal send traffic information to car networked server and obtain request.
The embodiment of the present invention is for car-mounted terminal, and the course of work of other mobile terminals can with reference to this car-mounted terminal.Traffic information obtains request and comprises: the section mark in the first section.This car-mounted terminal can provide querying condition to user, the selection in the section needing inquiry is carried out by user, querying condition can reduce successively according to province, city, counties and districts, certain road, certain section, also querying condition directly can be provided to be certain highway, certain section according to current vehicle position, after user selects, car-mounted terminal receives corresponding section mark.
Step 304, car networked server are identified at the following traffic information determining the first section in the following traffic information in each section of default road according to the section in the first section.
Due in step 302, car networked server has determined the following traffic information that each section of road is preset in prediction, then car networked server identifies according to the section in the first section, can inquire about the following traffic information obtaining the first section in the following traffic information in each section of default road.
The following traffic information in the first section is sent to car-mounted terminal by step 305, car networked server.
Step 306, car-mounted terminal show the following traffic information in the first section.
Car-mounted terminal shows the following traffic information in the first section, and in prompting user future time section, the road conditions in the first section, are judged whether through the first section by user.
Especially, car-mounted terminal can adopt different color markings to block up the rank of indication information on electronic chart, can provide the state of vehicle congestion so intuitively to user.Example, can be by the rank of the indication information that blocks up 5 section be designated as redness, by the rank of the indication information that blocks up be 4 section be designated as orange, the rank of indication information of blocking up be 3 section be designated as yellow, the rank of indication information of blocking up be 2 section be designated as green, the rank of the indication information that blocks up be 1 section be designated as white.
It should be noted that, when mobile terminal is that mobile phone or panel computer etc. can when the terminals of outside vehicle use, this terminal device can without the need to carrying out the acquisition of vehicle position information, directly carry out the inquiry of traffic information, example, the inquiry of following traffic information can be carried out by this mobile phone before user drives, as the reference selecting trade road and travel time before setting out, realize the judgement of route in early stage; After unlocking vehicle, send vehicle position information to car networked server in real time according to mobile terminal vehicle being arranged or places again and/or carry out the inquiry of following traffic information, such as, suppose that user selects highway to go on a journey, on the one hand, vehicle position information is uploaded to car networked server by car-mounted terminal, on the other hand user can inquire about certain section of certain highway now and in the future a period of time vehicle flowrate and jam situation by car-mounted terminal, Query Result can be constantly updated, and whole process lasts is to vehicle arrives destination.If vehicle is when highway driving, find that section, front blocks up comparatively serious by inquiry, user can select nearby under road junction at a high speed, avoid blocking up, current side can normal pass time, also can select nearby on road junction at a high speed, can very large alleviation highway jam, that improves user goes out line efficiency.
In sum, because car networked server is according to the following traffic information in each section of the default road of vehicle position information prediction, and this following traffic information is the traffic information in preset time period from current time, make car-mounted terminal can obtain the following traffic information in the first section, therefore, in preset time period, along with passage of time, traffic information still can be comparatively accurate, effectively improves the time-reliability of traffic information.
The embodiment of the present invention provides a kind of traffic information prognoses system 50, as shown in Figure 5, comprising:
Car networked server 501 and multiple mobile terminal 502.
The vehicle position information that car networked server 501 sends for obtaining each mobile terminal 502.
Car networked server 501 is also for presetting the following traffic information in each section of road according to vehicle position information prediction, following traffic information is the traffic information in the preset time period from current time.
First mobile terminal 5021 obtains request for sending traffic information to car networked server, and traffic information obtains request and comprises: the section mark in the first section, the first mobile terminal 5021 is any one in multiple mobile terminal 502.
Car networked server 501 also for be identified at each section of default road according to the section in the first section following traffic information in determine the following traffic information in the first section.
Car networked server 501 is also for being sent to the first mobile terminal by the following traffic information in the first section.
In sum, because car networked server is according to the following traffic information in each section of the default road of vehicle position information prediction, and this following traffic information is the traffic information in preset time period from current time, make the first mobile terminal can obtain the following traffic information in the first section, therefore, in preset time period, along with passage of time, traffic information still can be comparatively accurate, effectively improves the time-reliability of traffic information.
Vehicle position information comprises: the travel direction of the position of Current vehicle, the speed of vehicle and vehicle, and following traffic information comprises vehicle flowrate,
Car networked server 501 specifically may be used for:
The vehicle future location information corresponding according to arbitrary vehicle position information determination vehicle position information, vehicle future location information is the positional information of vehicle in preset time period; By adding up the travel direction of vehicle future location information corresponding to all vehicle position informations and all vehicles, determine the vehicle flowrate of each travel direction in each section in preset time period.
Following traffic information also comprises: block up indication information,
Car networked server 501 specifically may be used for:
According to the speed of the vehicle of all vehicle position informations and the travel direction of vehicle, obtain the speed being positioned at all vehicles of first travel direction in the second section in preset time period, second section is the arbitrary section in default road, and the first travel direction is the either direction in the preset travel direction in the second section; According to the speed of all vehicles of the first travel direction being positioned at the second section in preset time period, determine the first average velocity, the first average velocity is in preset time period, the vehicle average velocity of first travel direction in the second section; The pre-set velocity threshold value in the first average velocity and the second section is compared; Generate according to comparative result and to block up indication information, the indication information that blocks up is used to indicate the jam situation in the second section, wherein, the pre-set velocity threshold value in the second section and the difference of the first average velocity larger, the rank of the indication information that blocks up is higher.
First mobile terminal 5021 also for adopting different color markings to block up the rank of indication information on electronic chart.
Mobile terminal 502 is mobile phone or mobile terminal.
In sum, because car networked server is according to the following traffic information in each section of the default road of vehicle position information prediction, and this following traffic information is the traffic information in preset time period from current time, make the first mobile terminal can obtain the following traffic information in the first section, therefore, in preset time period, along with passage of time, traffic information still can be comparatively accurate, effectively improves the time-reliability of traffic information.
Those skilled in the art can be well understood to, and for convenience and simplicity of description, the system of foregoing description, the specific works process of device, with reference to the corresponding process in preceding method embodiment, can not repeat them here.
One of ordinary skill in the art will appreciate that all or part of step realizing above-described embodiment can have been come by hardware, the hardware that also can carry out instruction relevant by program completes, described program can be stored in a kind of computer-readable recording medium, the above-mentioned storage medium mentioned can be ROM (read-only memory), disk or CD etc.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. a traffic information Forecasting Methodology, is characterized in that, for traffic information prognoses system, described method comprises:
Car networked server obtains the vehicle position information that each mobile terminal sends;
Described car networked server presets the following traffic information in each section of road according to described vehicle position information prediction, and described following traffic information is the traffic information in the preset time period from current time;
First mobile terminal sends traffic information to described car networked server and obtains request, and described traffic information obtains request and comprises: the section mark in the first section;
Described car networked server is identified at the following traffic information determining described first section in the following traffic information in each section of described default road according to the section in described first section;
The following traffic information in described first section is sent to described first mobile terminal by described car networked server.
2. method according to claim 1, is characterized in that, described vehicle position information comprises: the travel direction of the position of Current vehicle, the speed of vehicle and vehicle, and described following traffic information comprises vehicle flowrate,
Described car networked server presets the following traffic information in each section of road according to described vehicle position information prediction, comprising:
Described car networked server determines according to arbitrary vehicle position information the vehicle future location information that described vehicle position information is corresponding, and described vehicle future location information is the positional information of described vehicle in described preset time period;
Described car networked server, by adding up the travel direction of vehicle future location information corresponding to all described vehicle position informations and all described vehicles, determines the vehicle flowrate of each travel direction in each section in described preset time period.
3. method according to claim 2, is characterized in that, described following traffic information also comprises: block up indication information,
Described car networked server presets the following traffic information in each section of road according to described vehicle position information prediction, also comprises:
Described car networked server is according to the speed of vehicle of all described vehicle position informations and the travel direction of vehicle, obtain in described preset time period the speed of all vehicles of the first travel direction being positioned at the second section, described second section is the arbitrary section in described default road, and described first travel direction is the either direction in the preset travel direction in described second section;
Described car networked server is according to the speed of all vehicles of the first travel direction being positioned at described second section in described preset time period, determine the first average velocity, described first average velocity is in described preset time period, the vehicle average velocity of first travel direction in the second section;
The pre-set velocity threshold value in described first average velocity and described second section compares by described car networked server;
Described car networked server generates according to comparative result the indication information that blocks up, the described indication information that blocks up is used to indicate the jam situation in described second section, wherein, the pre-set velocity threshold value in described second section and the difference of described first average velocity larger, described in the block up rank of indication information higher.
4. method according to claim 3, is characterized in that, after the following traffic information in described first section is sent to described first mobile terminal by described car networked server, described method also comprises:
Described first mobile terminal adopts the rank of the indication information that to block up described in different color markings on electronic chart.
5. method according to claim 1, is characterized in that,
Described mobile terminal is mobile phone or car-mounted terminal.
6. a traffic information prognoses system, is characterized in that, comprising:
Car networked server and multiple mobile terminal,
The vehicle position information that described car networked server sends for obtaining each mobile terminal;
Described car networked server is also for presetting the following traffic information in each section of road according to described vehicle position information prediction, described following traffic information is the traffic information in the preset time period from current time;
First mobile terminal is used for sending traffic information to described car networked server and obtains request, and described traffic information obtains request and comprises: the section mark in the first section, and described first mobile terminal is any one in described multiple mobile terminal;
Described car networked server also for be identified at each section of described default road according to the section in described first section following traffic information in determine the following traffic information in described first section;
Described car networked server is also for being sent to described first mobile terminal by the following traffic information in described first section.
7. method according to claim 6, is characterized in that, described vehicle position information comprises: the travel direction of the position of Current vehicle, the speed of vehicle and vehicle, and described following traffic information comprises vehicle flowrate,
Described car networked server specifically for:
Determine according to arbitrary vehicle position information the vehicle future location information that described vehicle position information is corresponding, described vehicle future location information is the positional information of described vehicle in described preset time period;
By adding up the travel direction of vehicle future location information corresponding to all described vehicle position informations and all described vehicles, determine the vehicle flowrate of each travel direction in each section in described preset time period.
8. method according to claim 7, is characterized in that, described following traffic information also comprises: block up indication information,
Described car networked server specifically for:
According to the speed of vehicle and the travel direction of vehicle of all described vehicle position informations, obtain in described preset time period the speed of all vehicles of the first travel direction being positioned at the second section, described second section is the arbitrary section in described default road, and described first travel direction is the either direction in the preset travel direction in described second section;
According to the speed of all vehicles of the first travel direction being positioned at described second section in described preset time period, determine the first average velocity, described first average velocity is in described preset time period, the vehicle average velocity of first travel direction in the second section;
The pre-set velocity threshold value in described first average velocity and described second section is compared;
The indication information that blocks up is generated according to comparative result, the described indication information that blocks up is used to indicate the jam situation in described second section, wherein, the pre-set velocity threshold value in described second section and the difference of described first average velocity larger, described in the block up rank of indication information higher.
9. method according to claim 7, is characterized in that,
Described first mobile terminal also for adopting the rank of the indication information that to block up described in different color markings on electronic chart.
10. method according to claim 6, is characterized in that,
Described mobile terminal is mobile phone or car-mounted terminal.
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| CN201410421768.6A CN104240500A (en) | 2014-08-25 | 2014-08-25 | Road condition information predicting method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105046955A (en) * | 2015-06-23 | 2015-11-11 | 章书毅 | Method and system for acquiring traffic conditions of motor vehicles on the roads in real time |
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE10136342A1 (en) * | 2000-08-29 | 2002-03-14 | Mitsubishi Electric Corp | Traffic information collection and distribution system evaluates position information provided by mobile objects for formation of traffic information fed to identified users |
| JP2005196756A (en) * | 2003-12-30 | 2005-07-21 | Hyundai Motor Co Ltd | Judging method and forecasting method of road traffic condition |
| CN101136140A (en) * | 2006-08-29 | 2008-03-05 | 亿阳信通股份有限公司 | Roads traffic speed calculating and matching method and system |
| CN101777253A (en) * | 2009-12-24 | 2010-07-14 | 戴磊 | Real-time road condition acquiring, analyzing and back-feeding and intelligent transportation integrated service system |
| CN101996487A (en) * | 2010-10-21 | 2011-03-30 | 上海海洋大学 | Vehicle networking intelligent traffic information system and implementation method thereof |
| CN103557870A (en) * | 2013-10-09 | 2014-02-05 | 董路 | Dynamic trajectory navigation method and cloud platform |
| CN103996306A (en) * | 2014-06-06 | 2014-08-20 | 奇瑞汽车股份有限公司 | Intelligent traffic system and control method thereof |
-
2014
- 2014-08-25 CN CN201410421768.6A patent/CN104240500A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE10136342A1 (en) * | 2000-08-29 | 2002-03-14 | Mitsubishi Electric Corp | Traffic information collection and distribution system evaluates position information provided by mobile objects for formation of traffic information fed to identified users |
| JP2005196756A (en) * | 2003-12-30 | 2005-07-21 | Hyundai Motor Co Ltd | Judging method and forecasting method of road traffic condition |
| CN101136140A (en) * | 2006-08-29 | 2008-03-05 | 亿阳信通股份有限公司 | Roads traffic speed calculating and matching method and system |
| CN101777253A (en) * | 2009-12-24 | 2010-07-14 | 戴磊 | Real-time road condition acquiring, analyzing and back-feeding and intelligent transportation integrated service system |
| CN101996487A (en) * | 2010-10-21 | 2011-03-30 | 上海海洋大学 | Vehicle networking intelligent traffic information system and implementation method thereof |
| CN103557870A (en) * | 2013-10-09 | 2014-02-05 | 董路 | Dynamic trajectory navigation method and cloud platform |
| CN103996306A (en) * | 2014-06-06 | 2014-08-20 | 奇瑞汽车股份有限公司 | Intelligent traffic system and control method thereof |
Cited By (42)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105046955A (en) * | 2015-06-23 | 2015-11-11 | 章书毅 | Method and system for acquiring traffic conditions of motor vehicles on the roads in real time |
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| CN108885111A (en) * | 2016-03-23 | 2018-11-23 | 宝马股份公司 | The method and apparatus of data are provided for the driver assistance system for motor vehicle |
| CN108885111B (en) * | 2016-03-23 | 2022-12-13 | 宝马股份公司 | Method and device for providing data for a driver assistance system of a motor vehicle |
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| CN112131326A (en) * | 2019-06-25 | 2020-12-25 | 上海擎感智能科技有限公司 | Map display method and device |
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Application publication date: 20141224 |