CN104851298B - Prediction traffic and running time - Google Patents
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- CN104851298B CN104851298B CN201510312501.8A CN201510312501A CN104851298B CN 104851298 B CN104851298 B CN 104851298B CN 201510312501 A CN201510312501 A CN 201510312501A CN 104851298 B CN104851298 B CN 104851298B
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Abstract
The present invention relates to predict traffic and running time.Road on map is segmented；Obtain the current traffic condition of each segmentation road and the traffic of time before；Traffic based on current traffic condition with time before, calculates the traffic variation tendency of each segmentation road；Current traffic condition and traffic variation tendency based on each segmentation road, estimate the traffic of the future time of each segmentation road；And the traffic of the future time of each segmentation road that will be estimated is presented on map.The present invention can be used to predict running time：Current traffic condition and traffic variation tendency based on each segmentation road, estimate each traffic of segmentation road in the time of estimated arrival, so as to estimate every running time of each segmentation road of candidate's traffic route；Total running time is estimated according to every running time of each segmentation road of candidate's traffic route.
Description
Technical field
The present invention relates to map and navigation, more particularly, to prediction traffic and running time.
Background technology
At present, electronic map is widely used in Mobile solution or desktop application.As long as network support, people can be at any time
Electronic map is checked everywhere, searches the destination for oneself wanting to know about.Current traffic condition can be shown on electronic map.Example
Such as, green represents unimpeded section, and yellow represents low running speed section, red then represent congested link.People drive trip when,
The traffic shown on map is may be referred to, on the one hand there can be certain in-mind anticipation to stroke, on the other hand can be
Select to a certain extent relatively smoothly route to avoid congestion.
But, people are often that map was seen before trip, to be understood stroke or to be planned.That is, seeing
Traffic during map is simultaneously not equal to actual trip to traffic during certain section.
In some electronic navigation applications, a plurality of candidate's traffic route can be provided.For this plurality of alternative route, electronics is led
Boat can estimate the time that may be needed, so that people refer to when route is selected.But, the electronic navigation estimated time
Typically all it is based on current traffic.Traffic during due to selection route and when being not equal to actual trip to the section
Traffic, so the time phase difference that the route is spent when the time for estimating is actually with actual trip is more.
The content of the invention
In view of the situation of the above, it is desirable to add the element of the traffic of prediction future time in map.And, when
During people's selection traffic route, can provide to the prediction of future traffic condition so that when more accurately estimating spent driving
Between, it is for reference.
According to an aspect of the invention, there is provided a kind of method that prediction traffic is embodied on map, including such as
Lower step：Road on map is segmented；Obtain the current traffic condition of each segmentation road and the traffic of time before
Situation；Traffic based on current traffic condition with time before, calculates the traffic variation tendency of each segmentation road；
Current traffic condition and traffic variation tendency based on each segmentation road, estimate the future time of each segmentation road
Traffic；And the traffic of the future time of each segmentation road that will be estimated is presented on map.
Preferably, the traffic is passage rate, by by the passage rate of current passage rate and time before
It is compared and calculates each traffic variation tendency for being segmented road.
Preferably, the traffic is congestion index, by by the congestion index of cur-rent congestion index and time before
It is compared and calculates each traffic variation tendency for being segmented road.
Preferably, except current traffic condition and traffic variation tendency based on each segmentation road, also based on not
Carry out the event that will occur on each segmentation road, estimate the traffic of the future time of each segmentation road.
Preferably, the segmentation road on the map with different traffics is presented in different colors.
According to another aspect of the present invention, there is provided a kind of method for predicting running time, comprise the following steps：According to
Departure place and destination, identify one or more candidate's traffic route on map；Every candidate's traffic route is divided
Section；Obtain the traffic of every current traffic condition of each segmentation road of candidate's traffic route and time before；It is based on
Every current traffic condition of each segmentation road of candidate's traffic route and the traffic of time before, calculate every candidate
The traffic variation tendency of each segmentation road of traffic route；According to current traffic condition, estimate to be reached in every route
The time of each segmentation road；Current traffic condition and traffic variation tendency based on each segmentation road, estimate each
Traffic of the segmentation road in the time of estimated arrival；Traffic of the road in the time of estimated arrival is segmented based on each
Situation, estimates every running time of each segmentation road of candidate's traffic route；And according to every candidate's traffic route
Each is segmented the running time of road and estimates total running time.
Preferably, the traffic is passage rate, by by the passage rate of current passage rate and time before
It is compared and calculates each traffic variation tendency for being segmented road.
Preferably, the traffic is congestion index, by by the congestion index of cur-rent congestion index and time before
It is compared and calculates each traffic variation tendency for being segmented road.
Preferably, except current traffic condition and traffic variation tendency based on each segmentation road, also based on not
Carry out the event that will occur on each segmentation road, estimate the traffic of the future time of each segmentation road.
Preferably, every time is obtained by the way that each running time for being segmented road of every candidate's traffic route is added
Select total running time of traffic route.
Brief description of the drawings
Below with reference to the accompanying drawings it is described in conjunction with the embodiments the present invention.In the accompanying drawings：
Fig. 1 is the flow chart of the method that prediction traffic is embodied on map according to embodiments of the present invention.
Fig. 2 is the flow chart of the method for prediction running time according to embodiments of the present invention.
Specific embodiment
Specific embodiment of the invention is described more fully below.
Fig. 1 is the flow chart 100 of the method that prediction traffic is embodied on map according to embodiments of the present invention.
According to Fig. 1, in step 101, the road on map is segmented first.Current electronic map is basic
Road on map will be segmented, for marking different traffics.For example, the segmentation of road can be based on away from
From for example, every 1 kilometer or every 500 meters, 100 meters, 50 meters, 10 meters or any other suitable distances are used as one section；Road point
Section can also be based on the setting of traffic lights, and the road for example, each two between (or more) traffic lights is used as one
Section；The segmentation of road can also be based on the planning of block, for example, the road between each block, each crossroad is used as one
Section.In theory, roadway segment is thinner, and the traffic for being reflected is also more accurate, but simultaneously for the meter of electronic map
Calculate also higher with the requirement of storage.Further it should be noted that on same path or on same route, the segmentation of road
Standard can with difference, therefore, some sections are 500 meters, 1 kilometer of some sections.
In step 103, the current traffic condition of each segmentation road and the traffic of time before are obtained.
The mode for obtaining the traffic of road has many kinds.For example, investigating the automobile in certain hour by this section
Travel speed, in certain hour by the number of end to end automobile in this section etc..According to different modes, reflection is handed over
The physical quantity of logical situation can be road speed, or congestion index.For example, using road speed as reflection traffic
Physical quantity, speed per hour 40-60 kilometers is regarded as unimpeded, and speed per hour 20-40 kilometers is regarded as low running speed, 20 kilometers of speed per hour with
Under be regarded as congestion, be regarded as heavy congestion, etc. below 5 kilometers of speed per hour.In another example, using congestion index as
Reflect the physical quantity of traffic, it is, for example possible to use the congestion index of 0-10, congestion index is bigger, shows that traffic is got over
Congestion；Conversely, congestion index is smaller, then show that traffic is more unobstructed.Congestion index can be interior by this based on certain hour
The travel speed of the automobile in section is obtained, it is also possible to the number based on the end to end automobile for passing through this section in certain hour
Etc. obtaining.
In step 103, the open real time data of office's actual measurement can be administered by local transit and obtains Current traffic
The passage rate or congestion index of situation, such as section.Meanwhile, the section can be found before according to history big data
The traffic of time, for example the section is in passage rate at that time or congestion index.
In the present invention, also refer to for a period of time 5 minutes, 10 minutes, 15 minutes or any other appropriate times
Before section.
In step 105, the traffic based on current traffic condition with time before calculates the traffic of each segmentation road
Changed condition trend.In one embodiment, current traffic condition is compared with the traffic of time before, to calculate
The traffic variation tendency of each segmentation road.
For example, traffic variation tendency can be the variation tendency of speed, will currently passage rate and before time
Passage rate be compared.Specifically, by current passage rate and the difference of the passage rate of time and before time before
Passage rate compare, the ratio for obtaining be velocity variations Trend index.For example, the current passage rate in a certain section is 50 public
In/hour, 15 minutes passage rates before are 40 kilometers/hour, then the velocity variations Trend index in 15 minutes is：(50-
40)/40=+0.25.In another example, the current passage rate in a certain section is 40 kilometers/hour, and 15 minutes before
Passage rate is 50 kilometers/hour, then the velocity variations Trend index in 15 minutes is：(40-50)/50=-0.20.Namely
Say, the symbol of velocity variations Trend index (+or -) represents that speed is that improving or reduce, and specific numerical value is then change
Degree.
Similarly, traffic variation tendency can be congestion index (for example, between 0 to 10, the bigger expression of numerical value is more gathered around
It is stifled) variation tendency, will cur-rent congestion index be compared with the congestion index of time before.Specifically, will currently gather around
Index is blocked up with the difference of the congestion index of time before compared with the congestion index of time before, the ratio for obtaining is that congestion change becomes
Gesture index.For example, it is 4.0 that the cur-rent congestion index in a certain section is 5.0,15 minutes congestion indexes before, then in 15 minutes
Congestion variation tendency index be：(5.0-4.0)/4.0=+0.25.In another example, the cur-rent congestion in a certain section refers to
Number is 5.0 for 4.0,15 minutes congestion indexes before, then the congestion variation tendency index in 15 minutes is：(4.0-5.0)/
5.0=-0.20.That is, the symbol (+or -) of congestion variation tendency index represents that congestion is that aggravating or alleviate, and have
The numerical value of body is then the degree of change.
Above-mentioned velocity variations Trend index and congestion variation tendency index is all the example of traffic variation tendency.
Additionally, before the traffic of time is probably multiple before the time traffic.Therefore, it can by several
The traffic at time point and obtain the curve of traffic variation tendency.
In general, user wishes to predict the traffic of future time, such as 30 minutes traffics afterwards of prediction.
If being currently 16:00, user wishes prediction 30 minutes afterwards, i.e., 16:30 traffic.
In step 107, current traffic condition and traffic variation tendency based on each segmentation road estimate each point
The traffic of the future time of Duan Daolu.
For example, for a certain segmentation road, 16:16 are predicted when 00:30 traffic, can use 16:00 friendship
Logical situation is multiplied by (1+ traffics variation tendency (such as traffic variation tendency) * time scales), thus estimates to have obtained 16:
30 traffic.The process can be calculated as follows：
Speed：30 kilometers/hour of * (1+0.25*30/15)=45 kilometer/hour
Congestion：4.0* (1-0.20*30/15)=2.4
Here, the speed or 4.0 that the example employed in step 105, i.e. current traffic condition are 30 kilometers/hour is continued to use
Congestion index, traffic variation tendency in 15 minutes is that velocity variations Trend index+0.25 and congestion variation tendency refer to
Number -0.20.
It is noted here that future time should be matched with for calculating the time of variation tendency, for example, after predicting 30 minutes
Traffic, can be used the variation tendency in 15 minutes, and should not be using the variation tendency in 5 minutes.Especially, for when
Between span it is larger, such as half an hour or more than one hour, (curve matching) should be estimated by the way of change trend curve
Count and apply variation tendency.
Except current traffic condition and traffic variation tendency based on each segmentation road, it is also based on following each
The event that will occur on individual segmentation road, estimates the traffic of the future time of each segmentation road.
For example, as it is known that certain section is because foreign affairs activity is 16:30 will carry out traffic control (for example, limitation is current).Estimating
During the traffic of the future time for counting each segmentation road, it is also contemplated that this case, will based on current traffic condition and
The traffic of the future time that traffic variation tendency is estimated further is changed.
In step 109, the traffic of the future time of each segmentation road that will be estimated is presented on map.Pass through
The step of above, each segmentation road on map has estimated the traffic of each comfortable future time.Need these
The traffic of prediction, is presented on map.Wherein, for the segmentation road that prediction traffic is different, on map
Different presentations are carried out respectively.In one embodiment, present in different colors on the map with different prediction traffics
Segmentation road.It will be understood by those skilled in the art that presentation mode besides colour, can also be gray scale, texture, shade,
Flicker, it might even be possible to be the differentiation presentation in terms of auditory tone cues, voice message, tonal variations, or tactile.
By the method for the flow chart 100 of Fig. 1, people are easier to understand traffic by watching map.For example, with
Family can select to check current traffic condition when traffic is checked in selection, it is also possible to selection check following certain time or
The prediction traffic of certain period.So, people can have certain in-mind anticipation to following trip, it is also possible to according to pre-
Survey to plan or adjust time and the stroke of oneself.
Fig. 2 is the flow chart 200 of the method for prediction running time according to embodiments of the present invention.
According to Fig. 2, in step 201, according to departure place and destination, one or more time is identified on map
Select traffic route.Current many electronic maps all have the function of stroke planning or traffic navigation, additionally, automatic navigator is also all
Function with stroke planning or traffic navigation.According to the selected destination of user and user current location (departure place) or
The departure place that person user specifies, identifies one or several candidate's traffic route on map.For example, identifying route 1, route
2nd, three traffic routes such as route 3.
In step 203, every candidate's traffic route is segmented.In step 205, every candidate's traffic route of acquisition
The traffic of the current traffic condition of each segmentation and before time.
Traffic on obtaining every current traffic condition of each segmentation of candidate's traffic route and time before
Mode, be referred to the specific discussion of step 103 in the flow chart of Fig. 1.
In step 207, the friendship based on every current traffic condition of each segmentation of candidate's traffic route with time before
Logical situation, calculates every traffic variation tendency of each segmentation of candidate's traffic route.In one embodiment, the friendship
Logical situation is passage rate, calculates each and is segmented by the way that current passage rate is compared with the passage rate of time before
The traffic variation tendency of road.In another embodiment, the traffic is congestion index, by by cur-rent congestion
Index is compared with the congestion index of time before and calculates each traffic variation tendency for being segmented road.It is referred to
The specific discussion of step 105 in the flow chart of Fig. 1.
It is noted here that future time should be matched with for calculating the time of variation tendency, for example, after predicting 30 minutes
Traffic, can be used the variation tendency in 15 minutes, and should not be using the variation tendency in 5 minutes.Especially, for when
Between span it is larger, such as half an hour or more than one hour, (curve matching) should be estimated by the way of change trend curve
Count and apply variation tendency.
In step 209, according to current traffic condition, estimate to reach each time for being segmented road in every route.It is existing
Electronic navigation application be respectively provided with corresponding function.In fact, equivalent to allowing electronic navigation to be counted respectively according to current traffic condition
Calculate the time from needed for starting point to each segmentation road.For example, in certain alternative route, one has 10 segmentation roads, then
According to each segmentation road current traffic condition calculate respectively from starting point to the 2nd, the 3rd ..., the 10th segmentation road
Time needed for road.For example, be respectively necessary for 10 minutes, 20 minutes ..., 70 minutes.
In step 211, current traffic condition and traffic variation tendency based on each segmentation road estimate each point
Traffics of the Duan Daolu in the time of estimated arrival.
Still continue to use above have 10 segmentation road examples.Obtained the 1st, the 2nd, the 3rd ... the 10th
The current traffic condition of individual segmentation road.For example, current vehicle speed be respectively 40,40,30 ..., 50 kilometers/hour, or work as
Preceding congestion index is respectively 4.0,4.0,4.8 ..., 3.0.And the traffic variation tendency of these segmentation roads is respectively
0.0th ,+0.1 (in 5 minutes) ,+0.2 (in 10 minutes) ... ,+0.2 (in 60 minutes) (speed trend) or 0.0, -0.1 (5 points
In clock), -0.2 (in 10 minutes) ..., -0.2 (in 60 minutes) (congestion tendency).Therefore, it can estimate that each is segmented as follows
Traffic of the road in estimated arrival time：
1st segmentation road：Currently -40 kilometers/hour of speed, congestion index 4.0；
2nd segmentation road：After 10 minutes-and estimate speed 40* (1+0.1*10/5)=48 kilometer/hour, estimate congestion
Index 4.0* (1-0.1*10/5)=3.2；
3rd segmentation road：After 20 minutes-and estimate speed 30* (1+0.2*20/10)=42 kilometer/hour, estimate congestion
Index 4.8* (1-0.2*10/5)=2.88；
……
10th segmentation road：After 70 minutes-and estimate speed 50* (1+0.2*70/60)=61.7 kilometer/hour, estimate
Congestion index 3.0* (1-0.2*70/60)=2.3.
Except current traffic condition and traffic variation tendency based on each segmentation road, it is also based on following each
The event that will occur on individual segmentation road, estimates the traffic of the future time of each segmentation road.
For example, as it is known that certain section will carry out traffic control (for example, limitation is current) due to foreign affairs activity after half an hour.
When estimating the traffic of future time of each segmentation road, it is also contemplated that this case, will be based on current traffic condition
The traffic of the future time estimated with traffic variation tendency is further changed.
In step 213, based on each traffic of segmentation road in the time of estimated arrival, every candidate row is estimated
The running time of each segmentation road of bus or train route line.
For example, the time of the estimated arrival estimated in step 213 is respectively divided by with each length for being segmented road
Speed, has just obtained the running time of each estimated segmentation road.Or, the length of road is segmented and in step based on each
The congestion index of the time of the estimated arrival estimated in rapid 213, when can also obtain the driving of each estimated segmentation road
Between.For example, still continue to use above have 10 segmentation road examples, obtain the 1st, the 2nd, the 3rd ..., the 10th
Be segmented road running time be respectively 10 minutes, 8 minutes, 9 minutes ..., 5 minutes.
In step 215, when estimating always to drive a vehicle according to every running time of each segmentation road of candidate's traffic route
Between.
Obtain every candidate and drive a vehicle by the way that each running time for being segmented road of every candidate's traffic route is added
Total running time of route.For example, still continue to use above have 10 segmentation road examples, by the 1st, the 2nd, the 3rd
It is individual ..., the running time of the 10th segmentation road be separately summed and obtain N=10+8+9+ ...+5.Every candidate's traffic route
Total running time is N minutes.
In some electronic navigation applications, one or more candidate's traffic route can be provided.For this one or more time
Routing line, electronic navigation can estimate the time that may be needed, so that people refer to when route is selected.But, electronic navigation
The estimated time is typically all based on current traffic.Due to selecting traffic during route and being not equal to reality
Go on a journey to the traffic during section, so the time that the route is spent when the time for estimating is actually with actual trip
Difference is more.
In view of the situation of the above, the invention enables when people select traffic route, can provide to future transportation shape
The prediction of condition is for reference so as to more accurately estimate spent running time.
Embodiments of the invention are described above.But the spirit and scope of the present invention not limited to this.This area skill
Art personnel are possible to teaching of the invention and make more applications, and are within the scope of the present invention.
Claims (6)
1. a kind of method that prediction traffic is embodied on map, comprises the following steps：
Road on map is segmented；
Obtain the current traffic condition of each segmentation road and the traffic of time before；
Traffic based on current traffic condition with time before, calculates the traffic variation tendency of each segmentation road；
Based on current traffic condition and the traffic variation tendency of each segmentation road, estimate each segmentation road it is following when
Between traffic；And
The traffic of the future time of each segmentation road that will be estimated is presented on map,
Wherein, the traffic is passage rate or congestion index, and the traffic variation tendency is that velocity variations become
Gesture index or congestion variation tendency index,
By current passage rate with the passage rate of time before difference compared with the passage rate of time before, the ratio for obtaining
It is velocity variations Trend index,
By cur-rent congestion index with the congestion index of time before difference compared with the congestion index of time before, the ratio for obtaining
It is congestion variation tendency index.
2. method according to claim 1, wherein, the current traffic condition based on each segmentation road becomes with traffic
Change trend, estimates the traffic of the future time of each segmentation road, further includes：Except based on each segmentation road
Current traffic condition and traffic variation tendency, also based on the event that will occur on following each segmentation road, estimate each
The traffic of the future time of individual segmentation road.
3. method according to claim 1, wherein, the traffic of the future time of each segmentation road that will be calculated
Being presented on map includes：The segmentation road on the map with different traffics is presented in different colors.
4. a kind of method for predicting running time, comprises the following steps：
According to departure place and destination, one or more candidate's traffic route is identified on map；
Every candidate's traffic route is segmented；
Obtain the traffic of every current traffic condition of each segmentation road of candidate's traffic route and time before；
Based on every current traffic condition of each segmentation road of candidate's traffic route and the traffic of time before, calculate
Every traffic variation tendency of each segmentation road of candidate's traffic route；
According to current traffic condition, estimate to reach each time for being segmented road in every route；
Current traffic condition and traffic variation tendency based on each segmentation road, estimate each segmentation road estimated
The traffic of the time of arrival；
Based on each traffic of segmentation road in the time of estimated arrival, every each point of candidate's traffic route is estimated
The running time of Duan Daolu；And
Total running time is estimated according to every running time of each segmentation road of candidate's traffic route,
Wherein, the traffic is passage rate or congestion index, and the traffic variation tendency is that velocity variations become
Gesture index or congestion variation tendency index,
By current passage rate with the passage rate of time before difference compared with the passage rate of time before, the ratio for obtaining
It is velocity variations Trend index,
By cur-rent congestion index with the congestion index of time before difference compared with the congestion index of time before, the ratio for obtaining
It is congestion variation tendency index.
5. method according to claim 4, wherein, the current traffic condition based on each segmentation road becomes with traffic
Change trend, estimates that each segmentation road, in the traffic of the time of estimated arrival, is further included：Except based on each point
The current traffic condition of Duan Daolu and traffic variation tendency, also based on the thing that will occur on following each segmentation road
Part, estimates the traffic of the future time of each segmentation road.
6. method according to claim 4, wherein, during driving according to every each segmentation road of candidate's traffic route
Between and estimating total running time includes：Obtained by the way that each running time for being segmented road of every candidate's traffic route is added
To every total running time of candidate's traffic route.
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| CN201510312501.8A CN104851298B (en) | 2015-06-09 | 2015-06-09 | Prediction traffic and running time |
| PCT/CN2016/085202 WO2016197936A1 (en) | 2015-06-09 | 2016-06-08 | Method for predicting traffic condition and travel time |
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| CN104851298B (en) * | 2015-06-09 | 2017-06-27 | 刘光明 | Prediction traffic and running time |
| CN106887137B (en) * | 2015-12-15 | 2019-12-17 | 高德信息技术有限公司 | Congestion event prompting method and device |
| CN109872664B (en) * | 2019-01-09 | 2021-04-09 | 武汉中联智诚科技有限公司 | Wisdom guide device |
| EP3767605A4 (en) * | 2019-03-28 | 2021-06-16 | Beijing Baidu Netcom Science and Technology Co., Ltd. | Road conditions prediction method, apparatus, and device, and computer storage medium |
| CN111854777B (en) * | 2019-04-30 | 2023-04-14 | 长城汽车股份有限公司 | Updating method of navigation route driving time, navigation method, navigation system and vehicle |
| CN112288353A (en) * | 2020-10-19 | 2021-01-29 | 河南职业技术学院 | Logistics transportation monitoring system |
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| JP3933127B2 (en) * | 2003-12-26 | 2007-06-20 | 住友電気工業株式会社 | Travel time prediction method, apparatus and program |
| JP4211706B2 (en) * | 2004-07-28 | 2009-01-21 | 株式会社日立製作所 | Traffic information provision device |
| US7813870B2 (en) * | 2006-03-03 | 2010-10-12 | Inrix, Inc. | Dynamic time series prediction of future traffic conditions |
| CN101673463B (en) * | 2009-09-17 | 2011-12-14 | 北京世纪高通科技有限公司 | Traffic information predicting method based on time series and device thereof |
| CN102110364B (en) * | 2009-12-28 | 2013-12-11 | 日电（中国）有限公司 | Traffic information processing method and traffic information processing device based on intersections and sections |
| CN102509470B (en) * | 2011-10-14 | 2013-10-16 | 北京掌城科技有限公司 | System and method for realizing energy conservation and emission reduction of vehicle based on dynamic path planning |
| CN103377552B (en) * | 2012-04-13 | 2016-03-16 | 日立(中国)研究开发有限公司 | traffic information prediction apparatus and method, terminal device and server |
| CN103632542A (en) * | 2012-08-27 | 2014-03-12 | 国际商业机器公司 | Traffic information processing method, device and corresponding equipment |
| KR20140128063A (en) * | 2013-04-26 | 2014-11-05 | 한국교통연구원 | Traffic prediction system |
| CN103606292A (en) * | 2013-11-13 | 2014-02-26 | 山西大学 | Intelligent navigator and realization method for path navigation thereof |
| CN103942955A (en) * | 2014-03-24 | 2014-07-23 | 河北盛航通信科技有限公司 | Traffic road condition trend predicting and prompting system based on mobile network |
| CN104157139B (en) * | 2014-08-05 | 2016-01-13 | 中山大学 | A kind of traffic congestion Forecasting Methodology and method for visualizing |
| CN104851298B (en) * | 2015-06-09 | 2017-06-27 | 刘光明 | Prediction traffic and running time |
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