CN112729863B - Vehicle actual measurement road selection method - Google Patents
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Abstract
The invention discloses a method for selecting an actual measurement road of a vehicle, wherein the actual measurement road selection scheme is based on the running working conditions of a Chinese light passenger vehicle, namely the high-speed, medium-speed and low-speed working conditions specified by CLTC-P, and selects an actual measurement road combination of which the road traffic scene can meet the CLTC-P working condition test requirement by carrying out statistical calculation on road static parameters and road traffic conditions in a test area. The method can select the vehicle actual road test route meeting the driving condition requirements of the light passenger vehicle in China, and the CLTC-P working condition curve is materialized to the specific road of the city to provide the oil consumption test result of the vehicle actual road, thereby effectively making up the limitation of the working condition laboratory test in reflecting the actual oil consumption level of the vehicle in China.
Description
Technical Field
The invention belongs to the field of application of automobile running conditions, and particularly relates to a method for selecting an actually measured road of a vehicle.
Background
The automobile driving condition is an important basic standard in the automobile industry and is an important design input in the automobile product development process. The GB/T38146 China automobile driving condition published in 2019 part 1 specifies the driving condition (CLTC-P condition for short) of the Chinese light passenger vehicle. The working condition is researched and developed based on information such as road actual measurement data and GIS traffic flow data of a plurality of cities in China, and the actual road driving characteristics of passenger vehicles in China can be well reflected.
The CLTC-P working condition is mainly used for evaluating and authenticating the vehicle oil consumption level, and the current evaluation method is to restore the specified running working condition on a rotary drum test bed to evaluate and authenticate the vehicle oil consumption level. Although the rotary drum test can accurately meet the requirement of the running condition of the vehicle, the test result cannot fully reflect the influence of various external factors on the oil consumption of the vehicle when the vehicle actually runs, so that the method for representing the oil consumption emission level of the vehicle under the CLTC-P working condition by using the rotary drum test result is not comprehensive.
In order to comprehensively and accurately evaluate the oil consumption level of the light passenger vehicle in China and make up for the defects of the drum test evaluation method, the drum test evaluation method can be supplemented by introducing an actual road test conforming to the CLTC-P working condition. However, the speed limit requirements and the road characteristics such as the traffic flow of different actual roads are greatly different, so that the test road needs to be reasonably selected in order to enable the running condition of the vehicle in the test on the actual road to be as close to the CLTC-P condition as possible.
Disclosure of Invention
In view of this, the present invention aims to provide a method for selecting an actual measurement road of a vehicle, so that the coincidence degree of the traffic condition of a road combination included in an actual test route of the vehicle in a specific time period and the driving scenario represented by the CLTC-P working condition is high, the driving working condition of the vehicle on the actual measurement road can be as close to the CLTC-P working condition as possible, and the representativeness and the reference value of the actual road test result are increased.
In order to achieve the above object, the present invention provides a method for selecting a vehicle actual measurement road, comprising the steps of:
1) collecting static information and GIS traffic flow data of each road in a test area, calculating the stable average speed of each road, and recording the static information and the stable average speed of each road into a road information table;
2) taking the speed and the mileage parameters of the high-speed working condition specified in the driving working condition of the Chinese light passenger vehicle, namely CLTC-P, as screening conditions, and extracting the road with the speed limit condition and the road length meeting the requirement of the high-speed working condition from the road information table in the step 1) as an alternative set of the high-speed road;
3) taking the average speed and the mileage parameter of the middle-speed working condition specified in the CLTC-P as screening conditions, and extracting a road which has a combination point with the road in the high-speed road candidate set and meets the requirement of the middle-speed working condition on the stable average speed and the road length from the road information table as a middle-speed road candidate set;
4) for each road sample in the intermediate speed road alternative set in the step 3), acquiring actual measurement speed data of a vehicle running on the road, calculating stable speed-acceleration distribution corresponding to the road traffic condition on the basis of the actual measurement speed data, performing chi-square test on the speed-acceleration distribution of the road sample in the intermediate speed road alternative set by taking the speed-acceleration distribution corresponding to the CLTC-P intermediate speed working condition as a reference, and selecting the intermediate speed road set according to chi-square test results;
5) taking the average speed and the mileage parameter of the low-speed working condition specified in the CLTC-P as screening conditions, and extracting the road which has a combination point with the road in the medium-speed road set and meets the requirement of the low-speed working condition on the stable average speed and the road length from the road information table as a low-speed road alternative set;
6) for each road sample in the low-speed road alternative set in the step 5), acquiring actually measured speed data of vehicles running on the road, calculating the stable speed-acceleration distribution corresponding to the road traffic condition on the basis of the actually measured speed data, simultaneously carrying out chi-square test on the speed-acceleration distribution of the road samples in the low-speed road alternative set by taking the speed-acceleration distribution corresponding to the CLTC-P low-speed working condition as a reference, selecting the low-speed road set according to chi-square test results,
7) extracting the high-speed, medium-speed and low-speed roads sequentially connected in the road set generated in the step 6), the step 4) and the step 2) to form an actual measurement route representing the CLTC-P overall working condition.
Further, in the vehicle measured road selection method, the road static information includes: road name, road length, road speed limit information, congestion level and the combination relation between roads.
Further, in the vehicle actual measurement road selection method, the stable average speed is a stable average speed in a peak time period and a non-peak time period, and the peak time period is 7:00-10:00 and 17:00-20:00, said off-peak hours being 11:00-15: 00.
Further, in the vehicle actual measurement road selection method, the stable average speed is calculated according to the whole-road average vehicle speed data of the road in the GIS, which is updated at regular time, and the preferred whole-road average vehicle speed data updating frequency is once updated every 5 minutes.
Further, in the vehicle actual measurement road selection method, the alternative road set mentioned in step 3), step 5) includes an alternative road set in a peak time period and an alternative road set in a non-peak time period, and the road set mentioned in step 4), step 6) includes a road set in a peak time period and a road set in a non-peak time period; the peak time period road set is obtained by screening the peak time period alternative road set, and the off-peak time period road set is obtained by screening the off-peak time period alternative road set.
Further, in the vehicle actual measurement road selection method, the method for extracting the medium speed road and the low speed road in the step 7) includes: and extracting the connected middle-speed road and low-speed road in the same time period.
Further, in the method for selecting the vehicle actual measurement road, the actual measurement vehicle speed data of the vehicle mentioned in the step 4) and the step 6) is actual measurement vehicle speed data collected on the road by a fleet, which is extracted from a Chinese working condition project database according to GPS information.
Further, in the method for selecting the actual measurement road of the vehicle, when the average speed of the working conditions is used as the screening condition to select the road in the step 3) and the step 5), the speed difference between the stable average speed of the road to be selected and the average speed of the working conditions is lower than 10Km/h, the screening condition is satisfied, when the alternative selection set of the medium speed road is preferably selected, the speed difference is lower than 5Km/h, and when the alternative selection set of the low speed road is preferably selected, the speed difference is lower than 3 Km/h.
The invention has the following beneficial effects:
the invention can select the vehicle actual road test route which meets the requirements of the driving condition (CLTC-P) of the Chinese light passenger vehicle, materializes the CLTC-P working condition curve to the specific road of the city, provides the oil consumption test result of the vehicle actual road, and effectively makes up the limitation of the working condition laboratory test in reflecting the actual oil consumption level of the vehicle in China. The Chinese working condition can be more effectively used for energy consumption evaluation, thus being beneficial to leading in the technology which accords with the Chinese actual operation characteristics in the vehicle optimization calibration of enterprises, being beneficial to enhancing the automobile product management of the government and practically promoting the energy conservation and emission reduction of the automobile industry; has good social effect and practical economic benefit.
Drawings
FIG. 1 shows a standard condition curve diagram specified by the driving condition (CLTC-P) of a Chinese light passenger vehicle;
FIG. 2 schematically shows a flow chart of actual measurement road selection under a medium speed condition according to the present invention;
fig. 3 schematically shows a flow chart of the actual measurement road selection under the low-speed working condition according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the CLTC-P operating condition curve is composed of 3 speed intervals of low speed, medium speed and high speed; the working conditions of different sections reflect the driving situations of vehicles under different road types and traffic conditions, roads which accord with the working conditions of the three sections are respectively selected according to the sequence of high, middle and low during actual road testing, the continuity among the three sections is ensured, and finally, a road combination which is close to the overall characteristics of the CLTC-P working conditions is formed in a combined mode.
In this embodiment, the tianjin city is taken as an example to further explain the proposed actual measurement road selection method in detail, and the method includes the following steps:
step one, data acquisition
In the embodiment, data acquisition is carried out by utilizing a working condition vehicle operation actual measurement database of a Chinese working condition project and a road traffic volume big database (GIS). The actual measurement database of the running of the vehicle under the working condition comprises data such as GPS (global positioning system), speed and the like of the vehicle acquired by a method for acquiring the autonomous running of Chinese working condition projects in an acquired fleet of Tianjin for a long time at the acquisition frequency of 1Hz, the acquired road covers different road types and running conditions, and the database also comprises road static information of most roads of Tianjin: road names and corresponding IDs, congestion levels, road lengths, speed limit information, combination relation information among roads and the like; and updating the whole road average speed of each road once every 5 minutes by a road traffic volume big database (GIS).
Step two, road information arrangement
Extracting road length, speed limit and binding point information from a working condition vehicle operation actual measurement database; and acquiring the average speed information of all roads for a period of time, which fully reflects the long-term stable running condition of each road, from a GIS database. And extracting the average speed of each road in different time periods in one day according to the road name and the time axis information, counting the average speed of each road in the total time period and the time period, and recording a road speedometer as shown in table 1.
TABLE 1 road speedometer
| Road name | | Am | 0 | Am 1. am | …… | 11 am | Afternoon 12 hours | …… | Afternoon 22 | Afternoon 23 |
| lu:weilu | 31.9 | 38.2 | 39.2 | …… | 27.7 | 29.9 | …… | 34.0 | 36.5 | |
| G | 44.9 | 46.7 | 49.1 | …… | 44.0 | 44.2 | …… | 46.9 | 48.7 | |
| boaidao | 27.9 | 30.4 | 31.9 | …… | 25.0 | 25.6 | …… | 27.2 | 28.5 | |
| baidilu | 31.6 | 37.9 | 39.2 | …… | 25.3 | 28.0 | …… | 33.5 | 36.1 | |
| xidadao | 65.0 | 64.6 | 63.6 | …… | 65.7 | 65.6 | …… | 65.8 | 66.0 | |
| …… | …… | …… | …… | …… | …… | …… | …… | …… | …… |
The information obtained by the searching and calculating is integrated, the average speed of each road in Tianjin city at peak (7:00-10: 00; 17:00-20:00) and off-peak time (11:00-15:00) is further obtained by sorting, and the average speed and the static information are stored in a road information table together, as shown in table 2:
TABLE 2 road information Table
| Road name | Road length (m) | Speed limit (km/h) | Off-peak hours speed (km/h) | Speed at peak time (km/h) |
| lu:weilu | 1747 | 35 | 29.3 | 26.8 |
| G | 1686 | 80 | 42.9 | 40.5 |
| boaidao | 576 | 60 | 23.8 | 22.0 |
| baidilu | 4144 | 60 | 26.0 | 24.2 |
| xidadao | 5906 | 80 | 62.5 | 60.7 |
| …… | …… | …… | …… | …… |
Step three, actual measurement road selection under high-speed working condition
The vehicle is less limited by traffic conditions when running on the urban road corresponding to the high-speed working condition, so that the screening condition is looser when selecting the road for the high-speed working condition: as long as the specified speed limit of the road can allow the vehicle to reach the maximum speed of the high-speed working condition, and the length can ensure that the vehicle finishes the driving mileage covered by the high-speed working condition, the driver can basically finish the actual measurement driving task according to the working condition curve. In addition, the influence of traffic condition difference in peak/off-peak periods when the vehicle runs on the city road corresponding to the high-speed working condition is low, and the factor is not needed to be considered when the road is screened.
The maximum speed of the CLTC-P working condition high-speed interval is 114km/H, the covered driving mileage is 6.12km, and by taking the maximum speed as the screening condition, the roads with the speed limit of more than 110km/H and the length of more than 6.5km in Tianjin city are searched in the table 2 and are used as an expressway alternative set H corresponding to the CLTC-P high-speed working condition, as shown in the table 3:
TABLE 3 set of highway alternatives
| Road name | Road length (m) | Speed limit (km/h) | Off-peak hours speed (km/h) | Speed at peak time (km/h) |
| haibingaosugonglu | 95148 | 120 | 68.7 | 66.1 |
| jinjigaosugonglu | 114713 | 120 | 85.6 | 85.1 |
| …… | …… | …… | …… | …… |
| jinbingaosugonglu | 26480 | 120 | 82.98 | 80.05 |
| …… | …… | …… | …… | …… |
| jingjintanggaosugonglu | 83710 | 110 | 84.6 | 82.4 |
Step four, selecting the actual measurement road under the medium-speed working condition
As shown in fig. 2, when selecting an actual measurement road for a medium-speed condition, it is necessary to satisfy the connectivity with the roads in the high-speed candidate road set H and the road length needs to be able to cover the driving range of the medium-speed condition. According to the information of the road combination points, searching a road set connected with a high-speed road sample in the H, and further searching a road with the length larger than the length of 5.9km driving mileage specified in a CLTC-P medium-speed interval to form a road set M;
furthermore, in order to make the actual test condition of the driver as close to the medium-speed condition curve as possible, the influence of traffic conditions in different time periods when the vehicle runs on the urban road corresponding to the medium-speed condition is reduced, and it is required to ensure that the stable vehicle speed characteristic of the selected road is as close to the medium-speed condition as possible when the vehicle is tested in a specific time period: and screening the middle road sample of the set M to obtain a road set M peak and a road set M off-peak, wherein the speed difference between the middle road sample of the set M and the average speed of the CLTC-P under the middle working condition of the CLTC-P is not more than 5Km/h according to the average speed information of two time periods of a peak period and an off-peak period.
Further, in order to select a road more matched with the operating condition characteristics, the optimal road needs to be determined by chi-square test on the basis of more accurate vehicle speed information: and for the samples in the set M peak and M off-peak, extracting the second-by-second running data of all the vehicles recorded on the road in 2016, 6 months and 1 day to 8 months and 30 days from the vehicle running actual measurement database in the working condition according to the GPS information. The calculation after processing obtains a stable speed-acceleration profile (including an idle portion with a speed of zero) for the time of the road. Carrying out chi-square inspection on the speed-acceleration distribution of the road in the M peak and the M off-peak by taking the speed-acceleration distribution of the CLTC-P medium-speed working condition as a reference; and selecting roads with better chi-square test results, namely, roads with smaller chi-square value p as an optimal road sample set M chi-square-peak and M chi-square-off-peak. Table 4 is information of a part of the road samples in M chi square-peak, and their average vehicle speeds in the peak time period are all around 30 km/h.
TABLE 4 set of highway in rush hour medium speed checked by chi-square
| Road name | Road length (m) | Speed limit (km/h) | Off-peak hours speed (km/h) | Speed at peak time (km/h) |
| henanlu | 7346 | 60 | 33.6 | 30.1 |
| linhailu | 7655 | 60 | 34.4 | 34.8 |
| …… | …… | …… | …… | …… |
| yuejinlu | 11539 | 40 | 36.1 | 34.5 |
| …… | …… | …… | …… | …… |
| jintanglu | 14832 | 70 | 32.6 | 30.0 |
| …… | …… | …… | …… | …… |
| dingzigusanhaolu | 7880 | 30 | 33.4 | 30.2 |
Step five, combining the medium-speed and high-speed roads
Combining the roads in the M chi square peak and the M chi square off-peak with the road samples in the set H with the combination points to form two road combination sets of MH peak and MH off-peak, which respectively comprise corresponding road combinations measured and driven by CLTC-P medium speed-high speed working conditions in the peak and off-peak periods.
Step six, actual measurement road selection under low-speed working condition
The method for selecting the actual measurement road set under the low-speed working condition is similar to the method for selecting the actual measurement road set under the medium-speed working condition.
As shown in fig. 3, when actual measurement roads are selected for low-speed conditions, connectivity with the middle-speed roads in the set of M chi square-peak and M chi square-off-peak needs to be satisfied, and the road length needs to cover the driving mileage of the low-speed conditions, and samples with the road length greater than the driving mileage of the CLTC-P low-speed conditions are screened from the roads satisfying the requirements of the junction to form a set L.
And further, calculating the average speed information peak time period evaluation speed of the roads in the set L and the roads in the set M chi square-peak, and screening out the road set L peak with the speed difference of 13Km/h with the CLTC-P low-speed working condition average speed not more than 3 Km/h. And similarly, screening the off-peak roads in the road set L from the roads which have the combination points with the M chi square in the set-off-peak roads.
Further, carrying out chi-square inspection on the speed-acceleration distribution of the road in the L peak and the L off-peak by taking the speed-acceleration distribution of the CLTC-P medium-speed working condition as a reference; and selecting roads with better chi-square test results, namely, roads with smaller chi-square value p as an optimal road sample set L chi-square-peak and L chi-square-off-peak. Table 5 shows the sample information of some roads in L chi square-peak, and their average speed in peak time is about 13 km/h.
TABLE 5 California examined rush hour Low speed road set
| Road name | Road length (m) | Speed limit (km/h) | Off-peak hours speed (km/h) | Speed at peak time (km/h) |
| yibailu | 4787 | 30 | 17.2 | 13.7 |
| yijielu | 2726 | 30 | 17.3 | 13.6 |
| …… | …… | …… | …… | …… |
| xunhailu | 5768 | 40 | 17.6 | 14.3 |
| …… | …… | …… | …… | …… |
| shuguanglu | 2726 | 30 | 17.3 | 13.6 |
Step seven, low-speed, medium-speed and high-speed road combination
The road in the road set L chi square-peak and the road in the road set MH peak with the combination point are combined to form an LMH peak road combination, and the road in the L chi square-off-peak and the road in the MH off-peak are combined to form an LMH off-peak road combination in the same way. The LMH peak and LMH off-peak respectively comprise corresponding road combinations of CLTC-P low-speed, medium-speed and high-speed working conditions during actual driving in peak and off-peak periods.
When the CLTC-P-based real vehicle test is carried out on the vehicle, one test route combination is selected from the route set LMH peak or LMH off-peak according to the time period of the test time, and the real vehicle road test requirement can be completed.
Claims (7)
1. A method for selecting a vehicle measured road, the method comprising the steps of:
1) collecting static information and GIS traffic flow data of each road in a test area, calculating the stable average speed of each road, and recording the static information and the stable average speed of each road into a road information table;
2) taking the speed and the mileage parameters of the high-speed working condition specified in the driving working condition of the Chinese light passenger vehicle, namely CLTC-P, as screening conditions, and extracting the road with the speed limit condition and the road length meeting the requirement of the high-speed working condition from the road information table in the step 1) as an alternative set of the high-speed road;
3) taking the average speed and the mileage parameter of the middle-speed working condition specified in the CLTC-P as screening conditions, and extracting a road which has a combination point with the road in the high-speed road candidate set and meets the requirement of the middle-speed working condition on the stable average speed and the road length from the road information table as a middle-speed road candidate set;
4) for each road sample in the intermediate speed road alternative set in the step 3), acquiring actual measurement speed data of a vehicle running on the road, calculating stable speed-acceleration distribution corresponding to the road traffic condition on the basis of the actual measurement speed data, performing chi-square test on the speed-acceleration distribution of the road sample in the intermediate speed road alternative set by taking the speed-acceleration distribution corresponding to the CLTC-P intermediate speed working condition as a reference, and selecting the intermediate speed road set according to chi-square test results;
5) taking the average speed and the mileage parameter of the low-speed working condition specified in the CLTC-P as screening conditions, and extracting the road which has a combination point with the road in the medium-speed road set and meets the requirement of the low-speed working condition on the stable average speed and the road length from the road information table as a low-speed road alternative set;
6) for each road sample in the low-speed road alternative set in the step 5), acquiring actually measured speed data of vehicles running on the road, calculating the stable speed-acceleration distribution corresponding to the road traffic condition on the basis of the actually measured speed data, simultaneously carrying out chi-square test on the speed-acceleration distribution of the road samples in the low-speed road alternative set by taking the speed-acceleration distribution corresponding to the CLTC-P low-speed working condition as a reference, selecting the low-speed road set according to chi-square test results,
7) extracting high-speed, medium-speed and low-speed roads sequentially connected in the road set generated in the step 6), the step 4) and the step 2) to form an actual measurement route representing the CLTC-P overall working condition;
the road static information includes: road name, road length, road speed limit information, congestion level and the combination relation between roads.
2. The vehicle measured road selection method as claimed in claim 1, wherein the steady average speed is a steady average speed during peak and off-peak periods, and the peak period is 7:00-10:00 and 17:00-20:00, said off-peak hours being 11:00-15: 00.
3. The vehicle measured road selection method according to claim 2, wherein the stable average speed is calculated based on the road-wide average vehicle speed data updated in the GIS at regular intervals, and the preferred updating frequency of the road-wide average vehicle speed data is updated every 5 minutes.
4. The vehicle measured road selection method according to claim 3, wherein the set of alternative roads mentioned in step 3), step 5) includes a set of alternative roads in peak hours and a set of alternative roads in non-peak hours, and the set of roads mentioned in step 4), step 6) includes a set of roads in peak hours and a set of roads in non-peak hours; the peak time period road set is obtained by screening the peak time period alternative road set, and the off-peak time period road set is obtained by screening the off-peak time period alternative road set.
5. The method for selecting a vehicle measured road according to claim 4, wherein the method for extracting the medium speed road and the low speed road in the step 7) comprises: and extracting the connected middle-speed road and low-speed road in the same time period.
6. The method as claimed in claim 1, wherein the measured vehicle speed data of the vehicle mentioned in step 4) and step 6) is the measured vehicle speed data collected by the fleet on the road extracted from the chinese work condition item database according to the GPS information.
7. The method for selecting a vehicle actual measurement road according to claim 1, wherein when the road is selected by using the working condition average speed as the screening condition in step 3) and step 5), the screening condition is satisfied when the speed difference between the stable average speed of the road to be selected and the working condition average speed is less than 10Km/h, preferably, when the intermediate speed road alternative set is selected, the speed difference is less than 5Km/h, and when the low speed road alternative set is selected, the speed difference is less than 3 Km/h.
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| CN109189754A (en) * | 2018-08-20 | 2019-01-11 | 中国汽车技术研究中心有限公司 | A kind of vehicle movement segment cutting method and device based on driving intention |
| CN109506946A (en) * | 2018-10-19 | 2019-03-22 | 中国汽车技术研究中心有限公司 | A kind of exploitation of RDE operating condition library and application method |
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| CN109189754A (en) * | 2018-08-20 | 2019-01-11 | 中国汽车技术研究中心有限公司 | A kind of vehicle movement segment cutting method and device based on driving intention |
| CN109506946A (en) * | 2018-10-19 | 2019-03-22 | 中国汽车技术研究中心有限公司 | A kind of exploitation of RDE operating condition library and application method |
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