CN111127894B - Traffic transportation energy consumption control method based on monitoring means and detection method thereof - Google Patents
Traffic transportation energy consumption control method based on monitoring means and detection method thereof Download PDFInfo
- Publication number
- CN111127894B CN111127894B CN201911399526.0A CN201911399526A CN111127894B CN 111127894 B CN111127894 B CN 111127894B CN 201911399526 A CN201911399526 A CN 201911399526A CN 111127894 B CN111127894 B CN 111127894B
- Authority
- CN
- China
- Prior art keywords
- energy consumption
- vehicle
- monitoring means
- traffic
- parts
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Life Sciences & Earth Sciences (AREA)
- Atmospheric Sciences (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a traffic transportation energy consumption control method based on a monitoring means, and relates to the field of highway detection. The technical scheme is as follows: s1, acquiring basic data of a vehicle; s2, analyzing to obtain an energy consumption calculation model and a data compensation model; s3, performing weighted calculation on regional vehicle energy consumption to obtain the dynamic condition of regional energy consumption; and S4, feeding back information to a driver and a center for scheduling, and adjusting road traffic organization. According to the invention, the basic data of the vehicle is acquired, the energy consumption calculation model and the data compensation model are obtained through analysis, the regional vehicle energy consumption is subjected to weighted calculation, and the regional performance consumption dynamic condition is obtained, so that the road traffic organization is improved in time, information is fed back to a driver, the driver is prompted to improve the driving behavior, the driving speed and the driving state of the vehicle are optimized, and the purposes of energy conservation and emission reduction are achieved.
Description
Technical Field
The invention relates to the technical field of highway detection, in particular to a traffic transportation energy consumption control method based on a monitoring means and a detection method thereof.
Background
With the continuous development of the automobile industry and the continuous improvement of the living standard of people, automobiles become necessities of families gradually. Traffic safety is becoming a focus of human society increasingly, and with the increasing urbanization rate of China, a large number of automobiles need to consume a large amount of oil, natural gas and electricity. At present, many resources including petroleum in China cannot meet the increasing demand, and more resources such as petroleum imported from foreign countries are available. At present, the global scope pays more and more attention to vehicle and road cooperation, China also plans and implements the field, the layout of traffic only is gradually improved, monitoring equipment is arranged on the road, the monitoring means is more and more advanced, and in order to reduce the consumption of resources such as petroleum, the vehicle running state information needs to be collected by using the vehicle networking technology, an energy consumption monitoring platform is established, and the energy consumption of the vehicle is monitored in real time.
In view of the above problems, the present inventors have conducted research and innovation based on practical experience and professional knowledge that is abundant over many years in engineering application of such products and by using the theory, so as to create a traffic transportation energy consumption control method and a detection method thereof based on a monitoring means, and make the method more practical.
Disclosure of Invention
The invention aims to solve the technical problem of providing a traffic transportation energy consumption control method based on a monitoring means, aiming at urban roads, the method acquires basic data of vehicles, analyzes the basic data to obtain an energy consumption calculation model and a data compensation model, and performs weighted calculation on regional vehicle energy consumption to obtain the dynamic condition of regional energy consumption, thereby improving road traffic organization and feeding back information to drivers in time, prompting the drivers to improve driving behaviors, optimizing the driving speed and the driving state of the vehicles and achieving the purposes of energy conservation and emission reduction.
The technical scheme of the invention is as follows:
a traffic transportation energy consumption control method based on a monitoring means comprises the following steps:
s1, acquiring basic data of the vehicle;
s2, analyzing to obtain an energy consumption calculation model and a data compensation model;
s3, performing weighted calculation on regional vehicle energy consumption to obtain the dynamic condition of regional energy consumption;
and S4, feeding back information to the driver and the central dispatching, and adjusting the road traffic organization.
Further, in the traffic transportation energy consumption control method based on the monitoring means, data acquisition is carried out on the vehicle running speed v, the vehicle running mileage L, the sum adjustment coefficient K of the vehicle type under different longitudinal slopes and speeds and the road longitudinal slope G in the step S1.
Further, in a transportation energy consumption control method based on a monitoring means, in step S2, the fuel consumption per kilometer F, F ═ a × v in the regional transportation energy consumption model2+ bv + c, where v is the vehicle speed of travel and a, b, and c are regression parameters.
Further, a traffic transportation energy consumption control method based on a monitoring means is used for calculating a total adjustment system K of the ith vehicle type under different longitudinal slopes and speedsi,
Wherein b and m1、m2As regression parameter, viThe driving speed of the ith vehicle type is G, and the G is the longitudinal slope of the road.
Further, a traffic transportation energy consumption control method based on monitoring means, in step S2, the fuel consumption per hundred kilometers (L/100km) F of the ith vehicle typei,Fi＝Ki×F。
Further, in a transportation energy consumption control method based on a monitoring means, in step S2, energy consumption data is obtained
Wherein L is the vehicle mileage.
Further, in step S3, the energy consumption model is Enew, E + Y, where Y is the compensation value, X is the average speed value, and Y is-1.58X3+76.37X2-1226X+6559。
Further, in step 4, after information is fed back to the central dispatching, traffic flow conditions on traffic roads are judged according to energy consumption, and duration of traffic lights in traffic lights is adjusted.
Further, in step S4, when the road congestion is determined according to the energy consumption information, a spraying system on the roadside is started to spray the aerosol.
Further, the traffic transportation energy consumption control method based on the monitoring means comprises the following components in parts by weight:
0.5-4 parts of eucalyptus, 3-4 parts of peppermint oil, 0.5-4 parts of orange flower, 30-40 parts of water, 20-30 parts of ethanol, 6-8 parts of green tea extract, 4-5 parts of yucca saponin and 3-8 parts of aloe gel. As a preferred embodiment, the preparation method of the aerosol is as follows: the eucalyptus, the peppermint oil, the neroli, the green tea extract, the yucca saponin and the aloe gel are dissolved in a mixed solvent of water and ethanol, and atomized into a mist by an atomizer. When traffic road blocks up, the car speed of traveling is slow or waits for, causes the incomplete combustion of petrol in the automobile engine, and it is very big to air pollution to discharge a large amount of carbon monoxide, and the driver is easily irritated and tired, sprays aerosol on the one hand air-purifying in this embodiment, and on the other hand pacifies driver's mood and gives driver refreshing consciousness, reduces the emergence of traffic accident. The aloe gel is dispersed in a mixed solvent of water and ethanol and then sprayed into the air through an atomizing device to form gel micromolecules with tiny particle sizes, the density of the gel micromolecules is larger than that of the air, the gel micromolecules have an adsorption effect on dust and particles in the air in the process of falling from the air, the yucca saponin has an absorption effect on carbon monoxide, carbon dioxide and harmful acid gases, the yucca saponin is mixed in the aloe gel to have the effects of resisting aging and preventing influenza and relieving the mood, and the mint oil and the orange blossom are added to refresh and refresh the brain.
In conclusion, the invention has the following beneficial effects:
the invention improves road traffic organization and feeds back information to the driver in time by analyzing the energy consumption service condition of the vehicle, and prompts the driver to improve driving behavior. Therefore, the energy consumption of vehicles is reduced from the dual angles of traffic organization and driving behaviors, and the purpose of urban green traffic is achieved.
Drawings
FIG. 1 is a dynamic adjustment diagram of driver behavior of a traffic energy consumption control method based on monitoring means;
fig. 2 is a road schematic diagram of a traffic transportation energy consumption control method based on a monitoring means.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
In the description of the present invention, it should be noted that the orientations or positional relationships indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", and the like are based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplification of description, but do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention.
A traffic transportation energy consumption control method based on a monitoring means comprises the following steps:
s1, acquiring basic data of regional vehicles, wherein the basic data comprises the following steps:
the method comprises the following steps of (1) carrying out vehicle running speed v, vehicle running mileage L, a total adjustment coefficient k of vehicle types under different longitudinal slopes and speeds, and a road longitudinal slope (%) G;
s2, analyzing to obtain a regional communication transportation energy consumption model, which comprises the following steps:
s21, analyzing and obtaining the fuel consumption F of one hundred kilometers in the basic model according to the acquired basic data, wherein v is the vehicle running speed, and a, b and c are regression parameters;
s22, calculating the total adjustment system K of the ith vehicle type under different longitudinal slopes and speeds according to actual conditionsiWherein b, m1、m2As regression parameter, viThe driving speed of the ith vehicle type is G, and the G is the longitudinal slope (%);
s23, calculating the fuel consumption per kilometer (L/100km) Fi of the ith vehicle type according to the determined traffic data;
s24, calculating to obtain energy consumption data according to the determined basic data, wherein L is the driving mileage of the vehicle;
s3, analyzing and calculating to obtain a data compensation model, which comprises:
s31, carrying out analysis and research through multiple groups of data, fitting the data by adopting a double square (Bisquarre) method, and simultaneously considering the complexity and the economy of the model to obtain a third-order polynomial model, wherein Y is a compensation value and X is an average speed value;
s32, obtaining a new energy consumption model Enew according to the compensation model obtained by the previous calculation, wherein Enew is E + Y;
s4, informing the driver of the driving information and changing the driving behavior, wherein the steps comprise:
and S41, after the calculated energy consumption is obtained, the dynamic information data can be sent to the driver according to the relevant requirements, and after the driver obtains the information data, the driving behaviors such as driving speed and the like can be dynamically adjusted according to the requirements.
Compared with the traditional energy consumption monitoring method, the embodiment has the advantages of low investment cost, high accuracy and obvious energy-saving and emission-reducing effects. The running state of the vehicle is optimized, and the energy consumption and the emission of tail gas carbon dioxide are reduced.
After the information is fed back to the central dispatching, the traffic flow condition of the traffic road is judged according to the energy consumption, the time length of the traffic lights in the traffic lights is adjusted, the longitudinal and transverse traffic flow of the crossroad can be known through the energy consumption information, and the time length of the traffic lights is adjusted according to the difference of the longitudinal and transverse traffic flow.
In this embodiment, when the road congestion is determined according to the energy consumption information, the spraying system on the roadside is started to spray the aerosol. The aerosol comprises the following components in parts by weight: the aerosol is prepared from 0.5-4 parts of eucalyptus, 3-4 parts of peppermint oil, 0.5-4 parts of orange flower, 30-40 parts of water, 20-30 parts of ethanol, 6-8 parts of green tea extract, 4-5 parts of yucca saponin and 3-8 parts of aloe gel, and the preparation method of the aerosol is as follows: the eucalyptus, the peppermint oil, the neroli, the green tea extract, the yucca saponin and the aloe gel are dissolved in a mixed solvent of water and ethanol, and atomized into a mist by an atomizer. When traffic road blocks up, the car speed of traveling is slow or waits for, causes the incomplete combustion of petrol in the automobile engine, and it is very big to air pollution to discharge a large amount of carbon monoxide, and the driver is easily irritated and tired, sprays aerosol on the one hand air-purifying in this embodiment, and on the other hand pacifies driver's mood and gives driver refreshing consciousness, reduces the emergence of traffic accident. The aloe gel is dispersed in a mixed solvent of water and ethanol and then sprayed into the air through an atomizing device to form gel micromolecules with tiny particle sizes, the density of the gel micromolecules is larger than that of the air, the gel micromolecules have an adsorption effect on dust and particles in the air in the process of falling from the air, the yucca saponin has an absorption effect on carbon monoxide, carbon dioxide and harmful acid gases, the yucca saponin is mixed in the aloe gel to have the effects of resisting aging and preventing influenza and relieving the mood, and the mint oil and the orange blossom are added to refresh and refresh the brain.
The present embodiment is only for explaining the present invention, and it is not limited to the present invention, and those skilled in the art can make modifications of the present embodiment without inventive contribution as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present invention.
Claims (9)
1. A traffic transportation energy consumption control method based on a monitoring means is characterized by comprising the following steps:
s1, acquiring basic data of the vehicle;
s2, analyzing to obtain an energy consumption calculation model and a data compensation model;
s3, performing weighted calculation on regional vehicle energy consumption to obtain the dynamic condition of regional energy consumption;
s4, feeding back information to the driver to remind the driver to change the driving behavior, feeding back the information to a central dispatching center to regulate the road traffic organization; the fuel consumption per kilometer F, F ═ a × v in the regional transportation energy consumption model in step S22+ bv + c, where v is the vehicle speed of travel and a, b, and c are regression parameters.
2. The method as claimed in claim 1, wherein in step S1, data acquisition is performed on vehicle driving speed v, vehicle driving mileage L, vehicle type sum adjustment coefficient K at different longitudinal slopes and speeds, and road longitudinal slope G.
3. The method as claimed in claim 1, wherein the step S2 is implemented by calculating a total adjustment system K of the ith vehicle type under different longitudinal slopes and speedsi,
Wherein b and m1、m2As regression parameter, viThe driving speed of the ith vehicle type is G, and the G is the longitudinal slope of the road.
4. The method as claimed in claim 3, wherein the fuel consumption per kilometer (L/100km) F of the ith vehicle type is determined in step S2i,Fi＝Ki×F。
5. The energy consumption control method for transportation based on monitoring means as claimed in claim 4, wherein in the step S2, the energy consumption data is
Wherein L is the vehicle mileage.
6. The energy consumption control method for transportation based on monitoring means as claimed in claim 2, wherein in the step S3, the energy consumption model is Enew, E + Y, where Y is compensation value, X is average speed value, and Y is-1.58X3+76.37X2-1226X+6559。
7. The traffic transportation energy consumption control method based on monitoring means as claimed in claim 1, wherein in the step 4, after the information is fed back to the central dispatching, the traffic flow condition on the traffic road is judged according to the energy consumption, and the duration of the traffic lights in the traffic lights is adjusted.
8. The method for controlling energy consumption of transportation based on monitoring means as claimed in claim 1, wherein in step S4, when the road congestion is determined according to the energy consumption information, spraying aerosol by starting a spraying system at the roadside.
9. The transportation energy consumption control method based on monitoring means as claimed in claim 8, wherein the aerosol comprises the following components by weight:
0.5-4 parts of eucalyptus, 3-4 parts of peppermint oil, 0.5-4 parts of orange flower, 30-40 parts of water, 20-30 parts of ethanol, 6-8 parts of green tea extract, 4-5 parts of yucca saponin and 3-8 parts of aloe gel.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911399526.0A CN111127894B (en) | 2019-12-30 | 2019-12-30 | Traffic transportation energy consumption control method based on monitoring means and detection method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911399526.0A CN111127894B (en) | 2019-12-30 | 2019-12-30 | Traffic transportation energy consumption control method based on monitoring means and detection method thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111127894A CN111127894A (en) | 2020-05-08 |
| CN111127894B true CN111127894B (en) | 2021-07-09 |
Family
ID=70505694
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911399526.0A Active CN111127894B (en) | 2019-12-30 | 2019-12-30 | Traffic transportation energy consumption control method based on monitoring means and detection method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111127894B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204965761U (en) * | 2015-08-28 | 2016-01-13 | 天津玛塔德科技有限公司 | System for GPS location vehicle velocity and real -time oil consumption |
| CN108665714A (en) * | 2017-09-28 | 2018-10-16 | 孟卫平 | The general string control method of traffic signals and its system |
Family Cites Families (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103413435B (en) * | 2013-06-21 | 2015-03-18 | 中国航天***工程有限公司 | Road network running condition analysis method based on fuel consumption acquisition |
| US9841463B2 (en) * | 2014-02-27 | 2017-12-12 | Invently Automotive Inc. | Method and system for predicting energy consumption of a vehicle using a statistical model |
| CN104008647B (en) * | 2014-06-12 | 2016-02-10 | 北京航空航天大学 | A kind of road traffic energy consumption quantization method based on motor-driven vehicle going pattern |
| CN107239844B (en) * | 2016-03-28 | 2021-01-19 | 武汉长江通信智联技术有限公司 | Oil consumption prediction method for petroleum transportation vehicle based on Hadoop |
| CN106203735B (en) * | 2016-07-27 | 2019-03-29 | 北京工业大学 | A kind of automobile driver driving behavior energy consumption characters measuring method |
| CN106530692A (en) * | 2016-10-25 | 2017-03-22 | 黑龙江省城市规划勘测设计研究院 | Motor vehicle fuel consumption emission intensity calculating method based on traffic jam evaluation index |
| CN107856564B (en) * | 2017-11-14 | 2020-06-30 | 北京新能源汽车股份有限公司 | Average energy consumption calculation method and device for electric automobile, controller and automobile |
| CN109993984B (en) * | 2018-01-02 | 2021-04-13 | ***通信有限公司研究院 | Vehicle speed guiding method and device |
| KR20190026701A (en) * | 2019-02-23 | 2019-03-13 | 남예슬 | Vehicle control unit automatic control device for measuring energy consumption efficiency of electric vehicle |
| CN110008541A (en) * | 2019-03-20 | 2019-07-12 | 北京明略软件***有限公司 | Establish the method, system and terminal of rail traffic vehicles energy consumption model |
| CN110228470B (en) * | 2019-06-03 | 2021-04-13 | 吉林大学 | Fuel saving rate real-time calculation method based on hidden vehicle model prediction |
| CN110490537A (en) * | 2019-07-03 | 2019-11-22 | 国网江西省电力有限公司检修分公司 | It is a kind of to digitize auditing method with vehicle |
-
2019
- 2019-12-30 CN CN201911399526.0A patent/CN111127894B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204965761U (en) * | 2015-08-28 | 2016-01-13 | 天津玛塔德科技有限公司 | System for GPS location vehicle velocity and real -time oil consumption |
| CN108665714A (en) * | 2017-09-28 | 2018-10-16 | 孟卫平 | The general string control method of traffic signals and its system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111127894A (en) | 2020-05-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2017032291A1 (en) | Vehicle engine automatic start-stop system and vehicle engine automatic start-stop control method | |
| Goyal et al. | Understanding urban vehicular pollution problem vis-a-vis ambient air quality–case study of a megacity (Delhi, India) | |
| Shrivastava et al. | Air pollution due to road transportation in India: A review on assessment and reduction strategies | |
| Dzikuć et al. | Problems associated with the emissions limitations from road transport in the Lubuskie Province (Poland) | |
| CN103786733B (en) | A kind of reminding method of automatic gear car environmental protection driving behavior | |
| Li et al. | Re-estimating CO2 emission factors for gasoline passenger cars adding driving behaviour characteristics——A case study of Beijing | |
| CN111127894B (en) | Traffic transportation energy consumption control method based on monitoring means and detection method thereof | |
| Wang et al. | Impact of motor vehicle exhaust on the air quality of an urban city | |
| Varshney et al. | Total volatile organic compounds in the urban environment of Delhi | |
| CN113256972A (en) | Control system and control method based on optimization prediction information difference feedback transmission | |
| Tzvetkova | Guidelines for Improving the Quality of Urban Passenger Transport in the City of Sofia within the Context of Stable Urban Mobility | |
| Makarov | Island megalopolises: tunnel systems as a critical alternative in solving transport problems | |
| CN201222301Y (en) | Intelligent monitor for passenger car person number | |
| CN110133191A (en) | A method of road automobile discharge is calculated based on air quality monitoring equipment | |
| CN207701206U (en) | A kind of automobile exhaust gas processing apparatus | |
| Solovieva et al. | Green transport as a tool for improving the quality of life of the Kuban population | |
| Skrętowicz et al. | Analysis of the impact of motor vehicles on the air quality on the example of Legionow Square in Wroclaw | |
| Nikolaou et al. | Assessment of air pollution indicators in an urban area using the DPSIR model | |
| Metz et al. | Positive effects of a traffic control system on fuel consumption and exhaust emission on the German A9 autobahn | |
| Putradamazman et al. | Behaviour analysis of light-duty vehicle drivers using naturalistic driving data collection | |
| Vojtisek-Lom | Anticipated effects of gradual replacement of internal combustion engines with electric drives on vehicle exhaust emissions in prague | |
| CN106693546A (en) | Passive distributed removable intelligent haze removal system and method | |
| Balashanmugam et al. | A survey on the effects of vehicle emissions on human health in Chidambaram town | |
| Hall-Quinlan et al. | Inferred vehicular emissions at a near-road site: Impacts of COVID-19 restrictions, traffic patterns, and ambient air temperature | |
| CN116056034B (en) | Vehicle-mounted wireless communication analysis regulation and control system based on in-vehicle environment monitoring |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |