CN104848871A - Map having traffic condition change trend, and drive route - Google Patents
Map having traffic condition change trend, and drive route Download PDFInfo
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- CN104848871A CN104848871A CN201510312371.8A CN201510312371A CN104848871A CN 104848871 A CN104848871 A CN 104848871A CN 201510312371 A CN201510312371 A CN 201510312371A CN 104848871 A CN104848871 A CN 104848871A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3492—Special cost functions, i.e. other than distance or default speed limit of road segments employing speed data or traffic data, e.g. real-time or historical
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- Radar, Positioning & Navigation (AREA)
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- Automation & Control Theory (AREA)
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- General Physics & Mathematics (AREA)
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Abstract
The invention relates to a map having traffic condition change trend, and a drive route. A method for embodying the traffic condition change trend on the map comprises the steps of segmenting the roads on the map; acquiring the current traffic situations and the previous traffic situations of all the segmented roads; calculating the traffic condition change trends of all the segmented roads based on the current traffic situations and the previous traffic situations; and presenting the calculated traffic condition change trends of all the segmented roads on the map. A method for selecting the drive route comprises the steps of recognizing a plurality of candidate routes on the map according to the starting point and the terminal point; acquiring the current traffic situations and the previous traffic situations of all the candidate routes; calculating the traffic condition change trends of all the candidate routes based on the current traffic situations and the previous traffic situations; and selecting the drive route according to the traffic condition change trends of all the candidate routes.
Description
Technical field
The present invention relates to map and navigation, more specifically, relate to the map with traffic variation tendency and traffic route.
Background technology
At present, electronic chart is widely used in Mobile solution or desktop application.As long as network support, people can check electronic chart whenever and wherever possible, search the destination oneself wanting to understand.Electronic chart can show current traffic condition.Such as, green represents unimpeded section, and yellow represents low running speed section, and redness then represents congested link.People are when driving trip, and the traffic that can Reference Map show, can have certain in-mind anticipation to stroke on the one hand, can select to a certain extent on the other hand relatively smoothly route to avoid blocking up.
In the metropolis such as Beijing, Shanghai, traffic congestion becomes serious urban issues gradually.The people gone on a journey for driving, some section and some period (such as morning peak on and off duty) can present normalization and block up.People can gradually be accustomed to or be familiar with the traffic congestion of these sections and these periods.When normalization is blocked up, people are not necessarily responsive for the absolute traffic situation numerical value that namely definitely blocks up.On the contrary, if trickle change occurs traffic, such as, the weight change of jam situation, then can make people feel responsive.On the other hand, people may take notice of the variation tendency of traffic, and such as certain section is tending towards blocking up or be tending towards unimpeded, have more navigational significance for people's trip.
In addition, traffic is also judge one of certain section judgement reference whether occurring burst or unscheduled event.Wherein, occur definitely blocking up, may indicate that certain section occurs accident so that affects traffic.But, in peak time morning and evening, the generation of some accident may cover by normalization jam; In the case, the variation tendency of traffic may have meaning more.
In the application of some electronic navigations, many candidate's traffic routes can be provided.Generally can follow the option such as " shortest time ", " short line ", " whether walking toll road " to distinguish.But do not consider the variation tendency of traffic, ignore the relative situation of change that people can be more responsive.In fact, under congestion, people not necessarily can select " shortest time ", because current selected route and time may be inaccurate, and the variation tendency of traffic, then more can affect the selection of people to traffic route.
Summary of the invention
Consider above situation, wish the element adding reflection traffic variation tendency in map.And, when people select traffic route, traffic variation tendency can be provided for reference.
According to an aspect of the present invention, provide a kind of method embodying traffic variation tendency on map, comprise the steps: the road on map to carry out segmentation; The traffic of the current traffic condition obtaining each segmentation road and time before; Based on the traffic of current traffic condition with time before, calculate the traffic variation tendency of each segmentation road; And the traffic variation tendency of each segmentation road calculated is presented on map.
Preferably, described traffic is passage rate.The traffic variation tendency of each segmentation road is calculated by being compared with the passage rate of time before by current passage rate.
Preferably, described traffic is congestion index.The traffic variation tendency of each segmentation road is calculated by being compared with the congestion index of time before by cur-rent congestion index.
Preferably, the traffic variation tendency of each segmentation road calculated is presented on map comprises: present the segmentation road on the map with different traffic variation tendency with different colours.
According to another aspect of the present invention, provide a kind of selection traffic route method, comprise the steps: according to departure place and destination, map identifies many candidate's traffic routes; The traffic of the current traffic condition obtaining every bar candidate traffic route and time before; Based on the traffic of current traffic condition with time before, calculate the traffic variation tendency of every bar candidate traffic route; And select traffic route according to the traffic variation tendency of every bar candidate traffic route.
Preferably, every bar candidate traffic route is carried out segmentation, the traffic of the current traffic condition obtaining each segmentation of every bar candidate traffic route and time before.Based on the current traffic condition of each segmentation of every bar candidate traffic route and the traffic of time before, calculate the traffic variation tendency of each segmentation of every bar candidate traffic route.
Preferably, traffic route is selected according to the traffic variation tendency of each segmentation of every bar candidate traffic route.
Preferably, the traffic variation tendency of each segmentation of every bar candidate traffic route is weighted summation according to each point of segment distance respectively, obtains every bar candidate traffic route comprehensive traffic changed condition trend separately.Then, traffic route is selected according to the respective comprehensive traffic changed condition trend of every bar candidate traffic route.
Accompanying drawing explanation
Below with reference to the accompanying drawings the present invention is described in conjunction with the embodiments.In the accompanying drawings:
Fig. 1 is the process flow diagram embodying the method for traffic variation tendency on map according to the embodiment of the present invention.
Fig. 2 is the process flow diagram of the selection traffic route method according to the embodiment of the present invention.
Embodiment
Specific embodiments of the invention will be described in detail below.
Fig. 1 is the flow process Figure 100 embodying the method for traffic variation tendency on map according to the embodiment of the present invention.
According to Fig. 1, in step 101, first the road on map is carried out segmentation.Current electronic chart substantially all can carry out segmentation to the road on map, is used for marking different traffics.Such as, the segmentation of road can based on distance, such as, every 1 kilometer or every 500 meters, 100 meters, 50 meters, 10 meters or arbitrarily other suitable distances as one section; The segmentation of road also can based on the setting of traffic lights, and such as, the road between every two (or more) traffic lights is as one section; The segmentation of road also can based on the planning of block, and such as, the road between each block, each crossroad is as one section.In theory, roadway segment is thinner, and the traffic reflected is also more accurate, but simultaneously for the calculating of electronic chart and the requirement of storage also higher.In addition, it should be noted that on same path or on same route, the segmentation criteria of road can be different, and therefore, some sections are 500 meters, 1 kilometer, some sections.
In step 103, the traffic of the current traffic condition obtaining each segmentation road and time before.
The mode obtaining the traffic of road has a variety of.Such as, investigate in certain hour by passing through the number etc. of the end to end automobile in this section in the travel speed of the automobile in this section, certain hour.According to different modes, the physical quantity of reflection traffic can be road speed, also can be congestion index.Such as, the physical quantity using road speed as reflection traffic, speed per hour 40-60 kilometer can be thought unimpeded, and speed per hour 20-40 kilometer can think low running speed, and speed per hour less than 20 kilometers can be thought to block up, and speed per hour less than 5 kilometers can think heavy congestion, etc.In another example, the physical quantity using congestion index as reflection traffic, such as, can use the congestion index of 0-10, congestion index is larger, shows that traffic is more blocked up; Otherwise congestion index is less, then show that traffic is more unobstructed.Congestion index can obtain based on the travel speed of the automobile by this section in certain hour, also can obtain based on the number etc. of the end to end automobile by this section in certain hour.
In step 103, current traffic condition can be obtained, the passage rate in such as this section or congestion index by the open real time data of local transit administration office actual measurement.Meanwhile, can according to the large data of history, find the traffic of this section in time before, such as this section is in passage rate at that time or congestion index.
In the present invention, a period of time can refer to 5 minutes, 10 minutes, 15 minutes or arbitrarily before other appropriate time sections.
In step 105, based on the traffic of current traffic condition with time before, calculate the traffic variation tendency of each segmentation road.In one embodiment, the traffic of current traffic condition with time is before compared, to calculate the traffic variation tendency of each segmentation road.
Such as, traffic variation tendency can be the variation tendency of speed, compares by the passage rate of current passage rate with time before.Specifically, by the difference of current passage rate and the passage rate of time before compared with the passage rate of time before, the ratio obtained is velocity variations Trend index.Such as, the current passage rate in a certain section is 50 kilometers/hour, and the passage rate before 5 minutes is 40 kilometers/hour, then velocity variations Trend index is: (50-40)/40=+0.25.In another example, the current passage rate in a certain section is 40 kilometers/hour, and the passage rate before 5 minutes is 50 kilometers/hour, then velocity variations Trend index is: (40-50)/50=-0.20.That is, the symbol of velocity variations Trend index (+or-) expression speed is in raising or reduces, and concrete numerical value is then the degree of change.
Similarly, traffic variation tendency can be the variation tendency of congestion index (such as, between 0 to 10, the larger expression of numerical value is more blocked up), compares by the congestion index of cur-rent congestion index with time before.Specifically, by the difference of cur-rent congestion index and the congestion index of time before compared with the congestion index of time before, the ratio obtained is the variation tendency index that blocks up.Such as, the cur-rent congestion index in a certain section is the congestion index before 5.0,5 minutes is 4.0, then variation tendency of blocking up index is: (5.0-4.0)/4.0=+0.25.In another example, the cur-rent congestion index in a certain section is the congestion index before 4.0,5 minutes is 5.0, then variation tendency of blocking up index is: (4.0-5.0)/5.0=-0.20.That is, the symbol of variation tendency of blocking up index (+or-) represent and block up in aggravation or alleviate, concrete numerical value is then the degree of change.
Above-mentioned velocity variations Trend index and the variation tendency index that blocks up are all the examples of traffic variation tendency.
In addition, the traffic of time may be the traffic of multiple time before before.Therefore, the curve of traffic variation tendency can be obtained by the traffic of several time point.
In step 107, the traffic variation tendency of each segmentation road calculated is presented on map.By above step, each segmentation road on map has calculated respective traffic variation tendency.Need, by these traffic variation tendencies, map to present.Wherein, for the segmentation road that traffic variation tendency is different, map carries out different presenting respectively.In one embodiment, the segmentation road on the map with opposing traffic changed condition trend (variation tendency index is for plus or minus) is presented with different colours (such as red and green).Meanwhile, the numerical value (such as, the green of green than+0.5 of+1.0 is darker, represents that traffic behavior takes a turn for the better fast) of concrete variation tendency index is presented by the depth (the such as red depth and the green depth) of color.It will be understood by those skilled in the art that presentation mode besides colour, can also be gray scale, texture, shade, flicker, arrow, can be even auditory tone cues, voice message, tonal variations, or the differentiation of sense of touch aspect presents.
And traffic variation tendency can be presented on map together with current traffic condition.Such as, represent current traffic condition by red, yellow, green, use simultaneously or under arrow to represent that traffic variation tendency is better or poorer, the length of arrow can represent concrete numerical value, i.e. amplitude of variation.
By the method for flow process Figure 100 of Fig. 1, people are easier to understand traffic by viewing map.Such as, user, when selecting to check traffic, can select the absolute figure checking current traffic condition, also can select the variation tendency of checking traffic, can also the two watch together.Like this, people can experience absolute magnitude, also can experience relative quantity and trend.
Such as, traffic variation tendency be there is to the section of abnormal (change is large especially, and namely the numerical value of variation tendency is large especially), likely occur some situations about happening suddenly, be worth other information of related departments' reference to be disposed rapidly and make a response.Such as, catch fire, sewer blockage, means of transportation or billboard collapse, gathering of people, traffic hazard etc. all can cause traffic abnormal, the relevant departments such as fire-fighting can in time for site of an accident eliminating accident.
Fig. 2 is flow process Figure 200 of the selection traffic route method according to the embodiment of the present invention.
According to Fig. 2, in step 201, according to departure place and destination, map identifies many candidate's traffic routes.Current many electronic charts all have the function of stroke planning or traffic navigation, and in addition, automatic navigator also all has the function of stroke planning or traffic navigation.According to the departure place that user-selected destination and user's current location (departure place) or user are specified, map identifies several candidate's traffic routes.Such as, three traffic routes such as route 1, route 2, route 3 are identified.
In step 203, the traffic of the current traffic condition obtaining every bar candidate traffic route and time before.
In one embodiment, every bar candidate traffic route is carried out segmentation, the traffic of the current traffic condition obtaining each segmentation of every bar candidate traffic route and time before.About obtaining the current traffic condition of each segmentation of every bar candidate traffic route and the mode of the traffic of time before, can with reference to the concrete discussion of step 103 in the process flow diagram of Fig. 1.
In step 205, based on the traffic of current traffic condition with time before, calculate the traffic variation tendency of every bar candidate traffic route.
In one embodiment, based on the current traffic condition of each segmentation of every bar candidate traffic route and the traffic of time before, the traffic variation tendency of each segmentation of every bar candidate traffic route is calculated.In one embodiment, the traffic of current traffic condition with time is before compared, to calculate the traffic variation tendency of each segmentation road.Can with reference to the concrete discussion of step 105 in the process flow diagram of Fig. 1.In addition, the traffic of time may be the traffic of multiple time before before.Therefore, the curve of traffic variation tendency can be obtained by the traffic of several time point.
In step 207, select traffic route according to the traffic variation tendency of every bar candidate traffic route.
In one embodiment, traffic route is selected according to the traffic variation tendency of each segmentation of every bar candidate traffic route.Such as, the traffic variation tendency of each segmentation of every bar candidate traffic route is presented on map, as described in the step 107 in the process flow diagram of Fig. 1.User, when checking the traffic of every bar candidate traffic route, can select the absolute figure checking current traffic condition, also can select the variation tendency of checking traffic.Like this, people can experience absolute magnitude, also can experience relative quantity (i.e. variation tendency).
In another embodiment, the traffic variation tendency of each segmentation of every bar candidate traffic route is weighted summation according to each point of segment distance respectively, obtains every bar candidate traffic route comprehensive traffic changed condition trend separately.Such as, article one, have three segmentations in candidate's traffic route, the distance of segmentation is respectively 500 meters, 1 kilometer, 500 meters, traffic variation tendency index (velocity variations Trend index) is respectively 0.0 ,+0.2 ,-0.1, then the comprehensive traffic changed condition Trend index (velocity variations Trend index) of this candidate's traffic route obtained after being weighted summation according to each point of segment distance is: 0.0*1/4+0.2*2/4-0.1*1/4=+0.075.Four segmentations are had in another candidate's traffic route, segment distance is divided to be all 500 meters, traffic variation tendency index (velocity variations Trend index) is-0.1 ,-0.1 ,-0.2 ,+0.2 respectively, then the comprehensive traffic changed condition Trend index (velocity variations Trend index) of this candidate's traffic route obtained after being weighted summation according to each point of segment distance is :-0.1*1/4-0.1*1/4-0.2*1/4+0.2*1/4=-0.05.
Then, traffic route is selected according to the respective comprehensive traffic changed condition trend of every bar candidate traffic route.In the example above, in the meaning of traffic variation tendency, more preferably select last bar route, because its velocity variations Trend index is not just only, and there is certain numerical value, mean if select this road, can feel more more unobstructed; And if select a rear route, can feel to become to block up.
The route be generally familiar with for one or several due to user can spend how long substantially have number in the heart, by the numerical value of comprehensive traffic changed condition trend above, if user is easy to estimate a current selection route institute spended time.Even if need not estimate institute's spended time, as long as be aware of traffic variation tendency, the traffic on user just can satisfy the need has had an expection, selects thus.
In the application of some electronic navigations, many candidate's traffic routes can be provided.Generally can follow the option such as " shortest time ", " short line ", " whether walking toll road " to distinguish.But do not consider current traffic condition and the contrast situation of the traffic of time before, ignore the variation tendency situation that people can be more responsive.In fact, under congestion, people not necessarily can select " shortest time ", because the difference of time is probably trickle, and driving experience, particularly to the impression of change relatively of blocking up, then more can affect the selection of people to traffic route.According to the present invention, in the application of these navigation through electronic, except the option such as " shortest time ", " short line ", also can add the option of traffic variation tendency (such as, " maximum comprehensive speed variation tendency index ", " the minimum variation tendency index that comprehensively blocks up "), or, directly in the explanation of every bar alternative route, provide traffic variation tendency (such as, " comprehensive speed variation tendency index=+ 0.075 ", " variation tendency of comprehensively blocking up index=-0.05 ").Thus, the user of electronic navigation more can respect the impression of oneself (such as, the requirement for the time, the requirement for path length or the impression for traffic change, or consider above) and makes a choice.
Be described above embodiments of the invention.But the spirit and scope of the present invention are not limited thereto.Those skilled in the art can make more application according to instruction of the present invention, and all within the scope of the present invention.
Claims (10)
1. on map, embody a method for traffic variation tendency, comprise the steps:
Road on map is carried out segmentation;
The traffic of the current traffic condition obtaining each segmentation road and time before;
Based on the traffic of current traffic condition with time before, calculate the traffic variation tendency of each segmentation road; And
The traffic variation tendency of each segmentation road calculated is presented on map.
2. method according to claim 1, wherein, described traffic is passage rate.
3. method according to claim 2, wherein, calculates the traffic variation tendency of each segmentation road by being compared with the passage rate of time before by current passage rate.
4. method according to claim 1, wherein, described traffic is congestion index.
5. method according to claim 4, wherein, calculates the traffic variation tendency of each segmentation road by being compared with the congestion index of time before by cur-rent congestion index.
6. method according to claim 1, wherein, is presented on the traffic variation tendency of each segmentation road calculated on map and comprises: present the segmentation road on the map with different traffic variation tendency with different colours.
7. select a traffic route method, comprise the steps:
According to departure place and destination, map identifies many candidate's traffic routes;
The traffic of the current traffic condition obtaining every bar candidate traffic route and time before;
Based on the traffic of current traffic condition with time before, calculate the traffic variation tendency of every bar candidate traffic route; And
Traffic route is selected according to the traffic variation tendency of every bar candidate traffic route.
8. method according to claim 7, wherein:
The current traffic condition obtaining every bar candidate traffic route and the traffic of time before, comprising: every bar candidate traffic route is carried out segmentation, the traffic of the current traffic condition obtaining each segmentation of every bar candidate traffic route and time before; And
Based on the traffic of current traffic condition with time before, calculate the traffic variation tendency of every bar candidate traffic route, comprise: based on the current traffic condition of each segmentation of every bar candidate traffic route and the traffic of time before, calculate the traffic variation tendency of each segmentation of every bar candidate traffic route.
9. method according to claim 8, wherein, selects traffic route according to the traffic variation tendency of every bar candidate traffic route, comprising: select traffic route according to the traffic variation tendency of each segmentation of every bar candidate traffic route.
10. method according to claim 8, wherein, select traffic route according to the traffic variation tendency of every bar candidate traffic route, comprising:
The traffic variation tendency of each segmentation of every bar candidate traffic route is weighted summation according to each point of segment distance respectively, obtains every bar candidate traffic route comprehensive traffic changed condition trend separately; And
Traffic route is selected according to the respective comprehensive traffic changed condition trend of every bar candidate traffic route.
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| CN201510312371.8A CN104848871B (en) | 2015-06-09 | 2015-06-09 | Map and traffic route with traffic condition variation tendency |
| PCT/CN2016/085218 WO2016197937A1 (en) | 2015-06-09 | 2016-06-08 | Map with traffic situation variation tendency and drive route |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106052709A (en) * | 2016-05-16 | 2016-10-26 | 腾讯科技（深圳）有限公司 | Congestion information processing method and device |
| WO2016197937A1 (en) * | 2015-06-09 | 2016-12-15 | 刘光明 | Map with traffic situation variation tendency and drive route |
| CN108507584A (en) * | 2017-02-24 | 2018-09-07 | 高德信息技术有限公司 | A kind of update method and device of navigation routine |
| CN109631917A (en) * | 2018-12-11 | 2019-04-16 | 斑马网络技术有限公司 | Processing method, device, electronic equipment and the storage medium of map datum |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20230230472A1 (en) * | 2022-01-14 | 2023-07-20 | Here Global B.V. | Method and apparatus for road segment traffic tendency determinations |
Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1323432A (en) * | 1998-09-15 | 2001-11-21 | 李兴洙 | Method and apparatus for providing time-variant geographical information and a user device therefor |
| EP1484581A2 (en) * | 2003-06-03 | 2004-12-08 | Robert Bosch Gmbh | System and method for calculating and/or for determining routes |
| CN1576789A (en) * | 2003-07-30 | 2005-02-09 | 日本先锋公司 | Device, system, method and program for notifying traffic condition and recording medium storing the program |
| CN1611917A (en) * | 2003-10-28 | 2005-05-04 | 日本先锋公司 | Device, system and method for reporting a traffic condition and program and recording medium |
| CN101546481A (en) * | 2009-04-30 | 2009-09-30 | 江苏新科软件有限公司 | Navigation and display method based on real time traffic information |
| CN101667339A (en) * | 2009-09-23 | 2010-03-10 | 北京交通大学 | Modeling system and method based on measured traffic service level of urban road area |
| KR100990446B1 (en) * | 2008-02-27 | 2010-10-29 | 오영섭 | Method and apparatus of selecting the shortest path using normal equation division method |
| CN102208132A (en) * | 2010-03-29 | 2011-10-05 | 电装It研究所 | Traffic predicting device, traffic predicting method and program thereof |
| JP2013019683A (en) * | 2011-07-07 | 2013-01-31 | Hitachi Ltd | Route creating system, route creating method and program |
| CN103377552A (en) * | 2012-04-13 | 2013-10-30 | 日立(中国)研究开发有限公司 | Traffic information prediction apparatus and method, terminal device and server |
| CN103712630A (en) * | 2014-01-09 | 2014-04-09 | 上海安吉星信息服务有限公司 | Vehicle navigation system and vehicle navigation method |
| US8798910B2 (en) * | 2012-01-17 | 2014-08-05 | International Business Machines Corporation | Method, apparatus and computer program for estimating driver's personality of route selection |
| CN104050809A (en) * | 2014-06-03 | 2014-09-17 | 北京航天福道高技术股份有限公司 | Method for automatically analyzing and predicting traffic condition |
| CN104101347A (en) * | 2013-04-10 | 2014-10-15 | 夏汇 | Modern control theory state equation-based optimum dynamic navigation method |
| CN104408916A (en) * | 2014-10-31 | 2015-03-11 | 重庆大学 | Road segment speed and flow data-based road traffic operating state evaluation method |
| CN104567898A (en) * | 2013-10-17 | 2015-04-29 | ***通信集团公司 | Traffic route planning method, system and device |
| CN104567897A (en) * | 2013-10-16 | 2015-04-29 | 大陆汽车投资（上海）有限公司 | Road condition forecast combined path planning method and navigation device |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH09113290A (en) * | 1995-10-18 | 1997-05-02 | Sumitomo Electric Ind Ltd | Road map displaying device |
| KR101061460B1 (en) * | 2005-05-18 | 2011-09-02 | 엘지전자 주식회사 | Method and apparatus for providing prediction information about communication status and using it |
| CN1828226B (en) * | 2005-09-28 | 2011-02-09 | 广东瑞图万方科技有限公司 | Real-time traffic information system and its navigation method |
| CN104157139B (en) * | 2014-08-05 | 2016-01-13 | 中山大学 | A kind of traffic congestion Forecasting Methodology and method for visualizing |
| CN104848871B (en) * | 2015-06-09 | 2018-11-16 | 刘光明 | Map and traffic route with traffic condition variation tendency |
-
2015
- 2015-06-09 CN CN201510312371.8A patent/CN104848871B/en active Active
-
2016
- 2016-06-08 WO PCT/CN2016/085218 patent/WO2016197937A1/en active Application Filing
Patent Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1323432A (en) * | 1998-09-15 | 2001-11-21 | 李兴洙 | Method and apparatus for providing time-variant geographical information and a user device therefor |
| EP1484581A2 (en) * | 2003-06-03 | 2004-12-08 | Robert Bosch Gmbh | System and method for calculating and/or for determining routes |
| CN1576789A (en) * | 2003-07-30 | 2005-02-09 | 日本先锋公司 | Device, system, method and program for notifying traffic condition and recording medium storing the program |
| CN1611917A (en) * | 2003-10-28 | 2005-05-04 | 日本先锋公司 | Device, system and method for reporting a traffic condition and program and recording medium |
| KR100990446B1 (en) * | 2008-02-27 | 2010-10-29 | 오영섭 | Method and apparatus of selecting the shortest path using normal equation division method |
| CN101546481A (en) * | 2009-04-30 | 2009-09-30 | 江苏新科软件有限公司 | Navigation and display method based on real time traffic information |
| CN101667339A (en) * | 2009-09-23 | 2010-03-10 | 北京交通大学 | Modeling system and method based on measured traffic service level of urban road area |
| CN102208132A (en) * | 2010-03-29 | 2011-10-05 | 电装It研究所 | Traffic predicting device, traffic predicting method and program thereof |
| JP2013019683A (en) * | 2011-07-07 | 2013-01-31 | Hitachi Ltd | Route creating system, route creating method and program |
| US8798910B2 (en) * | 2012-01-17 | 2014-08-05 | International Business Machines Corporation | Method, apparatus and computer program for estimating driver's personality of route selection |
| CN103377552A (en) * | 2012-04-13 | 2013-10-30 | 日立(中国)研究开发有限公司 | Traffic information prediction apparatus and method, terminal device and server |
| CN104101347A (en) * | 2013-04-10 | 2014-10-15 | 夏汇 | Modern control theory state equation-based optimum dynamic navigation method |
| CN104567897A (en) * | 2013-10-16 | 2015-04-29 | 大陆汽车投资（上海）有限公司 | Road condition forecast combined path planning method and navigation device |
| CN104567898A (en) * | 2013-10-17 | 2015-04-29 | ***通信集团公司 | Traffic route planning method, system and device |
| CN103712630A (en) * | 2014-01-09 | 2014-04-09 | 上海安吉星信息服务有限公司 | Vehicle navigation system and vehicle navigation method |
| CN104050809A (en) * | 2014-06-03 | 2014-09-17 | 北京航天福道高技术股份有限公司 | Method for automatically analyzing and predicting traffic condition |
| CN104408916A (en) * | 2014-10-31 | 2015-03-11 | 重庆大学 | Road segment speed and flow data-based road traffic operating state evaluation method |
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| CN106052709A (en) * | 2016-05-16 | 2016-10-26 | 腾讯科技（深圳）有限公司 | Congestion information processing method and device |
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