CN102509470B - System and method for realizing energy conservation and emission reduction of vehicle based on dynamic path planning - Google Patents
System and method for realizing energy conservation and emission reduction of vehicle based on dynamic path planning Download PDFInfo
- Publication number
- CN102509470B CN102509470B CN 201110312170 CN201110312170A CN102509470B CN 102509470 B CN102509470 B CN 102509470B CN 201110312170 CN201110312170 CN 201110312170 CN 201110312170 A CN201110312170 A CN 201110312170A CN 102509470 B CN102509470 B CN 102509470B
- Authority
- CN
- China
- Prior art keywords
- road
- energy consumption
- information
- data
- traffic
- 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
Landscapes
- Traffic Control Systems (AREA)
Abstract
The invention discloses a system and a method for realizing energy conservation and emission reduction of a vehicle based on dynamic path planning, belonging to the technical field of intelligent transportation. The method comprises the following steps of: acquiring the vehicle position information, and checking, storing and releasing the information; obtaining a road energy consumption weight ofeach road section by use of a pre-established road energy consumption model; and obtaining the road condition information, and performing dynamic path planning based on the road energy consumption weight and road condition information. The system comprises a dynamic traffic information acquiring and releasing platform, a road energy consumption model system and a dynamic path planning system. In the invention, based on a micro automobile energy consumption model, an automobile energy consumption calculation method is combined with the real-time traffic flow data and the road driving conditiondata to form a novel road energy consumption calculation model taking the road as the main body; and the energy consumption weight of the road section is calculated through the road energy consumption model, and the selection of the path with the lowest energy consumption can be realized by use of a dynamic path planning algorithm.
Description
Technical field
The present invention relates to intelligent transportation field, particularly a kind of planning realizes the system and method that automobile energy-saving reduces discharging based on dynamic route.
Background technology
Present dynamic information inducible system is to induce by providing the dynamic traffic traffic information to realize driving, thereby effectively solve urban traffic congestion, minimizing traffic hazard, reduction automobile fuel consumption and urban air pollution, raising conevying efficiency, finally reach economic target of driving.
In the exploitation of present dynamic information inducible system, formed the situation of standing like the legs of a tripod in Japan and the United States, Europe:
The dynamic information inducible system of Japan: the research of Dynamic Route Guidance System starts from Japan (1973) the earliest, and has set up in the world first road vehicle information communication system VICS(Vehicle Information and Communication Systems in nineteen ninety).Disposing at present a kind of traffic control system UTMS(Urban Traffic Management Systems of reinforcement of and VICS compatibility), it is comprised of five sub-systems, Dynamic Route Guidance System DRGS(Dynamic Route Guidance Systems wherein) be the Route Guidance System that a kind of center of type of interaction determines formula, its uses the Real-time Traffic Information that comes from a plurality of information sources and journey time data to carry out the center and determines that the path of formula induces.
The dynamic information inducible system of the U.S.: after the nineties, the U.S. begins to get involved and launch to the research of traffic dynamic inducible system, and has successively carried out the scene operation experiment take Dynamic Route Guidance System as main contents such as Pathfinder, TravTek, ADVANCE, SEIFT.The path that the TravTek system realizes induces real-time traffic conditions such as being based on crowded and accident to carry out, and has " Yellow Page " information for the traveler service, is particularly useful for the unfamiliar tourist in this area is used; The research of ADVANCE project is that Dynamic Route Guidance System has been set up systematic Research foundation, this system is a kind of distribution route inducible system based on real-time traffic condition (current Link Travel Time), differential GPS is mainly adopted in vehicle location, and the dead reckoning that is aided with when GPS is in the blind area based on wheel velocity and direction sensor positions; The TravInfo project provides in time and accurately multimode information and dynamic route suggestion such as beeper, traveler consulting telephone system, onboard navigation system and Internet homepage to traveler by using a series of equipment.
The dynamic information inducible system in Europe: Britain has just released in the world first commercial vehicle-mounted Route Guidance System Traffic Master the eighties in 20th century; The STORM project of Germany is devoted to develop double mode DRGS, namely induce based on the path of infrared beacon in the regionl development of installation infrared beacon, in wide area, develop simultaneously and induce based on the path of broadcast information system-TMC RDSOTMC (Radio Data System-Traffic Message Channel) Traffic Announcement, the information such as it can provide traffic hazard to the user, crowds, road construction; The double-standard path that is under the jurisdiction of in addition PROMETHEUS plan induce DMRG (Dual Mode Route Guidance) with the independent navigation of static state and based on RDSOTMC broadcasting join together to become dynamic distribution route inducible system, the system of expansion replaces the RDSOTMC system with GSM.
But, current dynamic information inducible system all is by providing dynamic information to induce to realize economic the driving, and the factor that affects the automobile energy consumption also should comprise other several aspects, such as driving vehicle, driver's custom, driver's age/gender etc., this just means the road environment information that not only will consider macroscopic view, also will consider steering vehicle and driver's microcosmic energy consumption.Therefore need comprehensive above factors, need to set up a dynamic information inducible system that has considered macroscopical Traffic Information and microcosmic energy consumption of vehicles.
Summary of the invention
In view of this, the object of the present invention is to provide a kind of system and method that reduces discharging based on dynamic route planning realization automobile energy-saving, be used for considering macroscopical Traffic Information and microcosmic energy consumption of vehicles and carry out dynamic information and induce, reduce discharging to realize automobile energy-saving.
The invention provides a kind of method that reduces discharging based on dynamic route planning realization automobile energy-saving, comprising:
The collection vehicle positional information is carried out data check and storage, and is issued;
Utilize the road energy consumption model of setting up in advance, obtain the road energy consumption weights in each highway section; The described road energy consumption model of setting up specifically comprises: set up the road driving condition database for the positional information that described collection obtains; According to the running data in the described road driving condition database, carry out cluster analysis, obtain the running car pattern class, and the driving mode classification is combined with road attribute, traffic information data, set up road attribute, traffic behavior to the road driving pattern classifier of driving mode; Carry out the correlation analysis of road network energy consumption according to traffic behavior; Carrying out the automobile energy consumption model based on described correlation analysis chooses; According to described road driving pattern classifier, use described automobile energy consumption model to calculate running car through energy consumption and tail gas discharge capacity that different roads cause, give corresponding road energy consumption weights according to oil consumption and the exhaust emissions amount in each highway section for this highway section;
Utilize described positional information to obtain traffic information, and carry out dynamic route planning based on described road energy consumption weights and traffic information.
The present invention also provides a kind of system that reduces discharging based on dynamic route planning realization automobile energy-saving, comprising:
Dynamic traffic information collecting and distribution platform are used for the collection vehicle positional information, carry out data check and storage, and are issued;
Road energy consumption model system is used for utilizing the road energy consumption model of setting up in advance, and obtains the road energy consumption weights in each highway section; The described road energy consumption model of setting up specifically comprises: set up the road driving condition database for the positional information that described collection obtains; According to the running data in the described road driving condition database, carry out cluster analysis, obtain the running car pattern class, and the driving mode classification is combined with road attribute, traffic information data, set up road attribute, traffic behavior to the road driving pattern classifier of driving mode; Carry out the correlation analysis of road network energy consumption according to traffic behavior; Carrying out the automobile energy consumption model based on described correlation analysis chooses; According to described road driving pattern classifier, use described automobile energy consumption model to calculate running car through energy consumption and tail gas discharge capacity that different roads cause, give corresponding road energy consumption weights according to oil consumption and the exhaust emissions amount in each highway section for this highway section;
The dynamic route planning system is used for utilizing described positional information to obtain traffic information, and carries out dynamic route planning based on described road energy consumption weights and traffic information accessory terminal.
The present invention is take microcosmic automobile energy consumption model as the basis, and Analysis deterrmination affects pavement behavior key factor (friction factor, the gradient etc.) and the action rule thereof of automobile energy consumption, discharging, obtains more accurately calculating the method for automobile energy consumption.By the driving mode analysis, the automobile Calculation Method of Energy Consumption is combined with real-time traffic flow data, road driving condition data, form the new road energy consumption calculation model take road as main body.Calculate again the energy consumption weights in highway section by the road energy consumption model, use the dynamic route planning algorithm and can realize the selection in the minimum path of energy consumption.
Description of drawings
Fig. 1 realizes the system construction drawing that automobile energy-saving reduces discharging for the planning based on dynamic route that the embodiment of the invention provides;
Fig. 2 realizes the method flow diagram that automobile energy-saving reduces discharging for the planning based on dynamic route that the embodiment of the invention provides;
The method flow diagram of setting up the road energy consumption model that Fig. 3 provides for the embodiment of the invention;
The method flow diagram of the generation road conditions congestion status information that Fig. 4 provides for the embodiment of the invention;
The method flow diagram that obtains the traffic information with energy consumption weights that Fig. 5 provides for the embodiment of the invention.
Embodiment
For making the purpose, technical solutions and advantages of the present invention clearer, the present invention is described in further detail below in conjunction with accompanying drawing.
The embodiment of the invention is take microcosmic automobile energy consumption model as the basis, and Analysis deterrmination affects pavement behavior key factor (friction factor, the gradient etc.) and the action rule thereof of automobile energy consumption, discharging, obtains more accurately calculating the method for automobile energy consumption.By the driving mode analysis, the automobile Calculation Method of Energy Consumption is combined with real-time traffic flow data, road driving condition data, form the new road energy consumption calculation model take road as main body.Calculate again the energy consumption weights in highway section by the road energy consumption model, use the dynamic route planning algorithm and can realize the selection in the minimum path of energy consumption.
What the embodiment of the invention provided realizes that based on dynamic route planning system that automobile energy-saving reduces discharging as shown in Figure 1, comprising:
Car transfer center 11 is used for obtaining the positional information that vehicle-mounted GPS equipment sends, and data are carried out pretreatment operation, filters out errors present information, and sends to dynamic traffic information collecting and distribution platform.
Dynamic traffic information collecting and distribution platform 12 are used for the collection vehicle positional information, carry out data check and storage, and are issued.
Road energy consumption model system 13 is used for utilizing described positional information to set up the road energy consumption model, and obtains the road energy consumption weights in each highway section.
Dynamic route planning system 14 is used for obtaining dynamic road condition information, and obtains the road energy consumption weights of road conditions by the road energy consumption model, calculates by weights, generates the new traffic information that possesses the road energy consumption model, and issues to terminal.
Terminal 15 is used for obtaining traffic information (containing road energy consumption weights), blocks up based on road conditions by driver's demand and carries out dynamic route planning with road energy consumption two aspect factors, and rational route programming result is offered the driver.
Based on above system, the embodiment of the invention provides a kind of method that reduces discharging based on dynamic route planning realization automobile energy-saving, as shown in Figure 2, comprising:
A large amount of actual measurement running datas in step 2012, the existing road driving condition database of foundation, the usage data method for digging is to the running car pattern--and be that velocity and acceleration distributes, carry out cluster analysis, obtain the running car classification.Then the driving mode classification is combined with road attribute, traffic information data, set up road attribute, traffic behavior to the derivation rule of driving mode, i.e. road driving pattern classifier.Thereby utilize the attributes such as category of roads, road conditions accurately to differentiate the classification of running car pattern, obtain the driving mode of automobile under different road conditions, different road conditions.
Because of the vehicle of automobile fuel consumption, exhaust emissions and automobile, use the many factors such as fuel mass, automobile accumulative total distance travelled, Motor Maintenance situation, temperature, relative humidity, height above sea level, road grade, travel speed, the acceleration that travels relevant, and also can there be interaction relationship between different factors, therefore need between computational accuracy and computation complexity, make balance, under the prerequisite that guarantees accuracy, simplify oil consumption, exhaust emissions computing method.In the present embodiment, the different pieces such as running car institute energy requirement is divided into the frictional resistance consumed power, overcomes the gravity power demand, the power demand that gathers way, every part power demand is revised according to factors such as different temperature, relative humidity, car categories.For specific vehicle, external environment, the speed of travelling, acceleration become the deciding factor that affects automobile fuel consumption, exhaust emissions.But only has nonlinear relationship between automobile fuel consumption amount, exhaust emissions amount and speed, acceleration, and it is larger that this relation is affected by other factors vary, and the modifying factor accuracy rate of therefore directly using travel speed, accekeration to calculate automobile fuel consumption, exhaust emissions is difficult to guarantee.Automobile specific power, unit weight are whenever travelled through the unit length power demand, have been proved with automobile fuel consumption, exhaust emissions value to have best linear relationship, and its computing formula is as follows:
vsp＝v[1.1a+9.81(atan(sin(grade)))+0.132]+0.000302V
3
Wherein, v represents speed, the m/s of unit; A represents acceleration, the m of unit
2/ s; Grade represents road grade.Combining environmental factor, automobile correlative factor, present embodiment adopt following formula to calculate the instantaneous energy consumption of automobile:
Q
t=B
t×K
Base×K
Tmp×K
Hmd×K
IM×K
Fuel×K
VSP
Wherein, B
tRepresent basic emission index, K
BaseRepresent basic emission index modifying factor, K
TmpThe expression temperature correction factor, K
HmdExpression relative humidity modifying factor, K
IMExpression maintenance situation modifying factor, K
FuelThe fuel modifying factor, K
VSPThe expression running car factor correction factor.
1, carrying out typical driving mode extracts.The extraction of typical case's driving mode is divided into three phases and finishes: running data pre-service, running data grouping, running data cluster.
At first, running data is carried out pre-service, finish the cleaning of data exception value, map match, be each record that travels (GPS point, speed) mark place road ID, classification, length, charge situation attribute.Exceptional value mainly comprises data recording speed value unusual (travel speed of record is excessive), longitude and latitude unusual (the adjacent record of longitude and latitude distance is at a distance of excessively far away).Map match, mainly according to travel direction and data with the road distance, with the road of Data Matching to actual travel, get rid of GPS drift impact.
Secondly, the road according to data are mated divides into groups data.According to road tie point type, when tie point is non-master node, be combined adjacent two, guarantee all records that travel between corresponding two intersections of one group of data.VSP is divided into 60 intervals, calculates each interval distribution of VSP for every group of record.
At last, normalization is carried out in the VSP distribution of running data grouping, then used X means clustering algorithm, the VSP distributed data collection after the normalization is carried out cluster, thereby obtain typical driving mode.
2, carry out the driving mode classification.The purpose of driving mode classification is by setting up the driving mode sorter, accurately judging the driving mode of automobile under different road conditions, varying environment, thereby obtain the automobile energy consumption according to the running car mode computation.The driving mode classification mainly comprises two aspects: the road attribute data decimation, the driving mode sorter is set up.
Although driver's driving habits is had nothing in common with each other, the driver in specific road conditions, specific road environment, specific region should have common driving characteristics.Therefore need to acquire affects the main roads of running car attribute, thereby according to these attributes driving mode is classified.For this type of demand, have four road attributes and chosen and be classified device and use: one, road type comprises category of roads and road attribute, such as rotary island, ring road, main road etc.; Two, road chain length, reacted automobile this road the longest distance that can travel continuously and do not affected by traffic lights; Three, road toll type has reflected the road maintenance level; Four, road chain hourage, the road conditions of reflection, traffic jam level.
According to four attributes and the running data cluster result of road, present embodiment uses the mode of decision tree and decision table to make up sorter.At first select branch's attribute take the information gain ratio as criterion, set up decision tree; Then by information entropy decision tree branches is chosen, in the end by coverage leaf node is chosen in one deck branch node, obtain optimum subtree; Then the optimum subtree that obtains is converted to rule, adds decision table; At last with the deletion of this rule coverage sample, re-start that decision tree generates, subtree is chosen, the transformation rule three link, until all samples all are capped.When using decision table to classify, begin to test sample to be sorted from first rule of decision table and whether satisfy, as satisfying then this sample classification regular corresponding classification for this reason, no longer test redundancy rule.
3, road attribute data inputs is travelled pattern classifier obtains automobile and distributes at the VSP that travels of each road, and VSP distribution, car category, fuel type and Current Temperatures, relative humidity substitution automobile energy consumption calculation formula are obtained automobile in oil consumption, the exhaust emissions amount of each bar road driving.Oil consumption and exhaust emissions amount according to each highway section are given corresponding road energy consumption weights for this highway section.
After step 203, car transfer center are obtained described positional information, data are carried out pretreatment operation, filter out the errors present information that produces because of position excursion.
Data check comprises verification and the misarrangement of data: raw data packets is carried out the syntax and semantics inspection, judge whether data layout is legal, and whether data exceed setting range, whether comprises repeating data, and carry out corresponding misarrangement and process;
The storage of raw data: correct raw data is stored, for further data mining, analysis and processing provide the data basis.
In the formula, v (xT, yT) is that s (x, y) is to the subpoint in highway section; Δ is plane 2 dimension Euclidean distances; Q is weighting coefficient.Clearly, λ is less, and the similarity in highway section is higher.
Use above map matching technology to be implemented to the coupling in concrete highway section.
The average overall travel speed in step 2043, calculating highway section.The dynamic route planning system calculates the average overall travel speed in this highway section according to many cars in same highway section in certain period by following formula:
Wherein
Be average overall travel speed (km/h), l
iBe that i car is at the operating range in this highway section, v
iBe the travel speed (km/h) of this vehicle in this highway section, if the unsteady vehicle process in some highway section in certain period then adopts historical data to fill up.
After step 207, terminal receive traffic information, in the enterprising walking along the street section coupling of electronic chart, uses different colours to mark the jam situation (blocking up is redness, slowly be yellow, and unimpeded is green) in variant highway section, and traffic events is shown in the electronic chart.The road power consumption values does not show in map, is used for participating in calculating as weights in the path planning process.
The road energy consumption model, calculates and obtains Vehicle Driving Cycle by the required energy consumption of target road in conjunction with real-time, historical traffic information take the automobile energy consumption model as the basis.The road energy consumption model relates to pavement of road situation, traffic flow situation and three factors of microcosmic automobile energy consumption model, crosses over road engineering, intelligent transportation and three fields of automobile engineering.
The status information whether traditional dynamic information system only can provide traffic to block up, although can reach by the shunting of road vehicle the effect of energy-saving and emission-reduction on the definite meaning, but because shortage is to research and the realization of automobile Energy Consumption Factors, so be difficult to obtain better effect aspect energy-saving and emission-reduction.
Present embodiment has been realized the combination of microcosmic automobile energy consumption and dynamic information system.Microcosmic automobile energy consumption needs accurate speed, acceleration profile data could calculate more accurately energy consumption emissions data of acquisition.And the real-time traffic system provides discrete average velocity, can not satisfy the data precision demand of automobile energy consumption.Present embodiment is according to the actual drive test data of Floating Car and traffic historical data, by the cluster method for digging, extract obtain the automobile typical case travel pattern class and with the mapping relations of road attribute, traffic behavior.Thereby input automobile energy consumption was finished energy consumption calculation after the average velocity of Traffic flow systems output was converted to the travel speed acceleration profile, had realized the combination of two large systems.
In a word, the above is preferred embodiment of the present invention only, is not for limiting protection scope of the present invention.
Claims (9)
1. a method that reduces discharging based on dynamic route planning realization automobile energy-saving is characterized in that, comprising:
The collection vehicle positional information is carried out data check and storage, and is issued;
Utilize the road energy consumption model of setting up in advance, obtain the road energy consumption weights in each highway section; The described road energy consumption model of setting up specifically comprises: set up the road driving condition database for the positional information that described collection obtains; According to the running data in the described road driving condition database, carry out cluster analysis, obtain the running car pattern class, and the driving mode classification is combined with road attribute, traffic information data, set up road attribute, traffic behavior to the road driving pattern classifier of driving mode; Carry out the correlation analysis of road network energy consumption according to traffic behavior; Carrying out the automobile energy consumption model based on described correlation analysis chooses; According to described road driving pattern classifier, use described automobile energy consumption model to calculate running car through energy consumption and tail gas discharge capacity that different roads cause, give corresponding road energy consumption weights according to oil consumption and the exhaust emissions amount in each highway section for this highway section;
Utilize described positional information to obtain traffic information, and carry out dynamic route planning based on described road energy consumption weights and traffic information.
2. the method that reduces discharging of realization automobile energy-saving according to claim 1 is characterized in that described collection vehicle positional information is carried out data check and storage, and the step of being issued specifically comprises:
Vehicle-mounted GPS equipment periodically sends self-position information to car transfer center;
After car transfer center is obtained described positional information, data are carried out pretreatment operation, filter out errors present information;
Car transfer center sends to dynamic traffic information collecting and distribution platform with pretreated positional information, carries out data check and storage by dynamic traffic information collecting and distribution platform, and is issued.
3. the method that reduces discharging of realization automobile energy-saving according to claim 2 is characterized in that the described step of obtaining the running car pattern class specifically comprises:
Running data is carried out pre-service, finish the cleaning of data exception value and map match;
Road according to data are mated divides into groups data;
Normalization is carried out in VSP distribution to the running data grouping, then uses X means clustering algorithm, and the VSP distributed data collection after the normalization is carried out cluster, thereby obtains the driving mode classification.
4. the method that reduces discharging of realization automobile energy-saving according to claim 3 is characterized in that the described step of setting up the road driving pattern classifier specifically comprises:
Choose the road attribute data, described road attribute data comprise road type, road chain length, road toll type and road chain hourage;
According to described road attribute data and running data cluster result, use the mode of decision tree and decision table to make up the road driving pattern classifier.
5. the method that reduces discharging of realization automobile energy-saving according to claim 4 is characterized in that, describedly calculates energy consumption that running car causes through different roads and the step of tail gas discharge capacity specifically comprises:
Described road attribute data are inputted described road driving pattern classifier obtain automobile in the running automobile specific power VSP of each road distribution, obtain automobile in oil consumption, the exhaust emissions amount of each bar road driving according to VSP distribution, car category, fuel type and Current Temperatures, relative humidity.
6. the method that reduces discharging of realization automobile energy-saving according to claim 5 is characterized in that the described step of obtaining traffic information specifically comprises:
Carry out map match;
Calculate the average overall travel speed in highway section;
According to the average overall travel speed in this highway section, carry out correspondingly with congestion in road grade threshold table, determine the jam situation in this highway section;
Analyze each highway section congestion status of whole city or specific region, put out the weights that block up in each highway section in whole city or the specific region in order, the energy consumption weights that calculate in conjunction with the road energy consumption model again, calculate the final real-time road condition information with energy consumption weights that forms by the weights model;
According to real-time road condition information, and in conjunction with historical traffic information, the road conditions in next this highway section of period are predicted, generated road condition predicting information;
Gather current traffic accident information, form the traffic event information based on concrete highway section.
7. the method for realization automobile energy-saving reduction of discharging according to claim 6 is characterized in that, described step of carrying out dynamic route planning specifically comprises:
Regularly with the traffic information in all highway sections in whole city or the specific region, comprise real-time road condition information, road condition predicting information and traffic event information, packing is handed down to each terminal after the compression;
After terminal received traffic information, in the enterprising walking along the street section coupling of electronic chart, the use different colours marked the jam situation in variant highway section, and traffic events is shown in the electronic chart;
When the car owner carried out the destination-address path planning by terminal, terminal system can in conjunction with jam situation and the road energy consumption of relevant road segments in the different routing of planning, be selected optimum path planning scheme.
8. a system that reduces discharging based on dynamic route planning realization automobile energy-saving is characterized in that, comprising:
Dynamic traffic information collecting and distribution platform are used for the collection vehicle positional information, carry out data check and storage, and are issued;
Road energy consumption model system is used for utilizing the road energy consumption model of setting up in advance, obtains the road energy consumption weights in each highway section; The described road energy consumption model of setting up specifically comprises: set up the road driving condition database for the positional information that described collection obtains; According to the running data in the described road driving condition database, carry out cluster analysis, obtain the running car pattern class, and the driving mode classification is combined with road attribute, traffic information data, set up road attribute, traffic behavior to the road driving pattern classifier of driving mode; Carry out the correlation analysis of road network energy consumption according to traffic behavior; Carrying out the automobile energy consumption model based on described correlation analysis chooses; According to described road driving pattern classifier, use described automobile energy consumption model to calculate running car through energy consumption and tail gas discharge capacity that different roads cause, give corresponding road energy consumption weights according to oil consumption and the exhaust emissions amount in each highway section for this highway section;
The dynamic route planning system is used for utilizing described positional information to obtain traffic information, and carries out dynamic route planning based on described road energy consumption weights and traffic information accessory terminal.
9. according to claim 8 planning realizes the system that automobile energy-saving reduces discharging based on dynamic route, it is characterized in that described system further comprises:
Car transfer center is used for obtaining the positional information that vehicle-mounted GPS equipment sends, and data are carried out pretreatment operation, filters out errors present information, and sends to described dynamic traffic information collecting and distribution platform.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201110312170 CN102509470B (en) | 2011-10-14 | 2011-10-14 | System and method for realizing energy conservation and emission reduction of vehicle based on dynamic path planning |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201110312170 CN102509470B (en) | 2011-10-14 | 2011-10-14 | System and method for realizing energy conservation and emission reduction of vehicle based on dynamic path planning |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102509470A CN102509470A (en) | 2012-06-20 |
| CN102509470B true CN102509470B (en) | 2013-10-16 |
Family
ID=46221546
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 201110312170 Active CN102509470B (en) | 2011-10-14 | 2011-10-14 | System and method for realizing energy conservation and emission reduction of vehicle based on dynamic path planning |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102509470B (en) |
Families Citing this family (54)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE112012006594B4 (en) * | 2012-06-27 | 2020-04-23 | Mitsubishi Electric Corp. | Recommended ride pattern generation device and method |
| CN102798876A (en) * | 2012-08-22 | 2012-11-28 | 东莞市泰斗微电子科技有限公司 | Navigation drive test system and method |
| CN102944887B (en) * | 2012-11-14 | 2015-04-15 | 东南大学 | Vehicle three-dimension navigation method based on fuel consumption and tail gas exhaust |
| CN103900572A (en) * | 2012-12-25 | 2014-07-02 | 上海博泰悦臻电子设备制造有限公司 | Diversiform path navigation algorithm and device for short paths |
| CN104118328B (en) * | 2013-04-27 | 2017-07-07 | 日电（中国）有限公司 | Automobile energy consumption rate based on generalized variable estimates apparatus and method |
| CN104240496B (en) * | 2013-06-20 | 2016-12-28 | 中国移动通信集团公司 | A kind of determination method and apparatus of trip route |
| CN104374397A (en) * | 2013-08-14 | 2015-02-25 | 英华达（上海）科技有限公司 | Route planning system and method thereof |
| CN103791961B (en) * | 2014-01-16 | 2017-01-25 | 观致汽车有限公司 | Method for estimating vehicle range |
| CN103913630A (en) * | 2014-04-18 | 2014-07-09 | 上海电科智能系统股份有限公司 | Centralized electric energy measuring and energy consumption analyzing system for rail transit |
| CN104599498B (en) * | 2014-05-05 | 2017-12-01 | 腾讯科技（深圳）有限公司 | The acquisition methods and device of a kind of information of vehicles |
| CN104035985B (en) * | 2014-05-30 | 2017-07-07 | 同济大学 | A kind of method for digging towards Fundamental Geographic Information System abnormal data |
| CN104260724B (en) * | 2014-09-22 | 2017-02-15 | 李治良 | Vehicle intelligent predictive control system and method |
| CN105787240B (en) * | 2014-12-24 | 2018-12-28 | 高德软件有限公司 | A kind of oil consumption prediction technique and device |
| CN105786895B (en) * | 2014-12-25 | 2020-03-27 | 日本电气株式会社 | Method and device for measuring and calculating discharge amount of road intersection |
| CN104851298B (en) * | 2015-06-09 | 2017-06-27 | 刘光明 | Prediction traffic and running time |
| CN105243841A (en) * | 2015-10-10 | 2016-01-13 | 苏州派瑞雷尔智能科技有限公司 | Real-time road condition acquisition and prediction method based on site map |
| US10149192B2 (en) * | 2015-10-21 | 2018-12-04 | Hyundai Motor Company | Vehicle terminal and method for controlling data transmission quantity of the vehicle terminal |
| CN105225488B (en) * | 2015-11-05 | 2017-08-25 | 北京交通发展研究院 | A kind of speed based on vehicle specific power is to vehicle emission factor modification method |
| CN105355048B (en) * | 2015-11-05 | 2017-08-25 | 北京交通发展研究院 | A kind of traffic index and motor vehicle emission coupling analytical method |
| CN107289954B (en) * | 2016-03-31 | 2020-04-10 | 高德信息技术有限公司 | Line processing method and device |
| CN106225800B (en) * | 2016-08-04 | 2019-07-26 | 杭州电子科技大学 | Environmentally friendly vehicle navigation path construction method based on real-time road condition information |
| DE102017202943A1 (en) * | 2016-08-25 | 2018-03-01 | Robert Bosch Gmbh | Method and apparatus for providing a predicated vehicle motion |
| CN106248096B (en) * | 2016-09-29 | 2019-08-27 | 百度在线网络技术（北京）有限公司 | The acquisition methods and device of road network weight |
| CN106570583B (en) * | 2016-10-25 | 2020-04-14 | 北京航空航天大学 | Method for determining minimum carbon stroke of fuel automobile in dynamic traffic environment |
| CN108072381B (en) * | 2016-11-18 | 2020-10-27 | 中国移动通信有限公司研究院 | Path planning method and device |
| TWI591492B (en) * | 2016-12-19 | 2017-07-11 | Chunghwa Telecom Co Ltd | Energy consumption estimation system and method |
| CN107330217B (en) * | 2017-07-13 | 2020-07-10 | 北京市交通信息中心 | Mesoscopic oil consumption prediction method based on RBFNN |
| CN108427997B (en) * | 2017-09-15 | 2020-11-17 | 杭州创屹机电科技有限公司 | Shared bicycle appointment scheduling management system and method |
| CN108489500A (en) * | 2018-03-13 | 2018-09-04 | 安徽江淮汽车集团股份有限公司 | A kind of global path planning method and system based on Energy Consumption Economy |
| CN108871362A (en) * | 2018-06-12 | 2018-11-23 | 山东理工大学 | A kind of environmentally friendly trip route planing method of automobile dynamic |
| CN109300046A (en) * | 2018-08-01 | 2019-02-01 | 平安科技（深圳）有限公司 | Electronic device, the vehicle insurance based on the road conditions factor survey dispatching method and storage medium |
| CN109035778B (en) * | 2018-08-29 | 2021-11-30 | 深圳市赛为智能股份有限公司 | Congestion cause analysis method and device, computer equipment and storage medium |
| US11117475B2 (en) * | 2018-10-22 | 2021-09-14 | Woven Planet North America, Inc. | Systems and methods for efficient vehicle control |
| CN109447337B (en) * | 2018-10-23 | 2022-04-15 | 重庆扬升信息技术有限公司 | Smart cloud conference data sharing exchange platform path optimization method |
| CN109671268A (en) * | 2018-12-07 | 2019-04-23 | 黑匣子(杭州)车联网科技有限公司 | A method of traffic congestion is solved by car-mounted terminal |
| CN109544929B (en) * | 2018-12-14 | 2020-12-15 | 华南理工大学 | Vehicle low-carbon control and induction method, system, equipment and storage medium based on big data |
| CN109910890B (en) * | 2019-03-19 | 2020-11-27 | 吉林大学 | Truck prediction energy-saving system based on road terrain information and control method |
| CN110097318A (en) * | 2019-04-30 | 2019-08-06 | 吉旗（成都）科技有限公司 | A kind of vehicle is summarized the algorithm of oil consumption mileage by region |
| CN109948108B (en) * | 2019-05-21 | 2019-08-09 | 江苏啸峰环保科技股份有限公司 | The verification method of the selection of fugitive dust discharge capacity account model, discharge capacity account and displacement data |
| CN110263072B (en) * | 2019-06-18 | 2023-05-30 | 成都云卬科技有限公司 | Public institution energy consumption statistical system and method |
| CN110276951B (en) * | 2019-06-26 | 2020-11-13 | 朱志强 | Traffic jam early warning method based on mobile internet |
| KR20210006143A (en) * | 2019-07-08 | 2021-01-18 | 현대자동차주식회사 | Traffic information service system and method |
| CN110634289B (en) * | 2019-09-04 | 2021-01-01 | 南京洛普股份有限公司 | Urban road traffic optimal path online planning method based on electric police data |
| CN110533909B (en) * | 2019-09-10 | 2020-11-06 | 重庆大学 | Driving behavior analysis method and system based on traffic environment |
| DE102019215376A1 (en) * | 2019-10-08 | 2021-04-08 | Continental Automotive Gmbh | Method for predicting a speed profile of a vehicle |
| CN111190984B (en) * | 2019-12-30 | 2024-03-08 | 北京世纪高通科技有限公司 | Method and device for extracting job place and computer readable storage medium |
| CN111241720B (en) * | 2020-04-27 | 2020-07-17 | 北京英视睿达科技有限公司 | Modeling method and device of road raise dust model |
| CN114005294A (en) * | 2020-07-28 | 2022-02-01 | 比亚迪股份有限公司 | Path determination method, device, equipment and medium |
| CN115148035A (en) * | 2021-03-29 | 2022-10-04 | 广州汽车集团股份有限公司 | Urban traffic control method and system based on intelligent networked automobile |
| CN113743466B (en) * | 2021-08-02 | 2024-04-05 | 南斗六星系统集成有限公司 | Road type identification method and system based on decision tree |
| CN113859053A (en) * | 2021-11-11 | 2021-12-31 | 广东汉合汽车有限公司 | Fuel cell management method, system, device, and medium based on travel demand |
| CN114281086A (en) * | 2021-12-29 | 2022-04-05 | 中寰卫星导航通信有限公司 | Method, system, platform, medium and equipment for planning commercial vehicle path |
| CN114758499B (en) * | 2022-04-01 | 2023-08-18 | 济南市公安局交通警察支队 | Method, equipment and storage medium for intelligent automatic control of urban elevated expressway ramp based on multi-source data |
| CN114819305B (en) * | 2022-04-13 | 2023-03-14 | 山东高速云南发展有限公司 | Path planning method based on carbon emission measurement scale |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1976296A (en) * | 2006-12-25 | 2007-06-06 | 北京世纪高通科技有限公司 | Method and system for real-time dynamic traffic information collecting, handling, and issuing |
| DE102007007955A1 (en) * | 2007-02-17 | 2008-08-21 | GM Global Technology Operations, Inc., Detroit | Motor vehicle with drive motor and navigation system |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002350152A (en) * | 2001-05-25 | 2002-12-04 | Mazda Motor Corp | Information display method, information providing device and information display device used therefor, program for controlling information providing device or information display device, and recording medium recording the same |
| JP2004258884A (en) * | 2003-02-25 | 2004-09-16 | Matsushita Electric Ind Co Ltd | Fcd information collecting method and probe car system |
| JP2005163584A (en) * | 2003-12-01 | 2005-06-23 | Denso Corp | Fuel economy information supply system, fuel economy information server device, and on-vehicle control device |
| JP5056727B2 (en) * | 2008-11-07 | 2012-10-24 | アイシン・エィ・ダブリュ株式会社 | Driving energy learning apparatus, method and program |
| JP5135308B2 (en) * | 2009-09-09 | 2013-02-06 | クラリオン株式会社 | Energy consumption prediction method, energy consumption prediction device, and terminal device |
-
2011
- 2011-10-14 CN CN 201110312170 patent/CN102509470B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1976296A (en) * | 2006-12-25 | 2007-06-06 | 北京世纪高通科技有限公司 | Method and system for real-time dynamic traffic information collecting, handling, and issuing |
| DE102007007955A1 (en) * | 2007-02-17 | 2008-08-21 | GM Global Technology Operations, Inc., Detroit | Motor vehicle with drive motor and navigation system |
Non-Patent Citations (5)
| Title |
|---|
| JP特开2002-350152A 2002.12.04 |
| JP特开2004-258884A 2004.09.16 |
| JP特开2005-163584A 2005.06.23 |
| JP特开2010-115065A 2010.05.20 |
| JP特开2011-59921A 2011.03.24 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102509470A (en) | 2012-06-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102509470B (en) | System and method for realizing energy conservation and emission reduction of vehicle based on dynamic path planning | |
| CN104299442B (en) | A kind of city Route Travel Time Estimation Method based on pattern match | |
| CN105261212B (en) | A kind of trip space-time analysis method based on GPS data from taxi map match | |
| CN100463009C (en) | Traffic information fusion processing method and system | |
| US9109914B2 (en) | Energy efficient routing using an impedance factor | |
| CN104260724B (en) | Vehicle intelligent predictive control system and method | |
| CN102496079B (en) | Monitoring method for energy consumption and emission on roads | |
| CN105865472A (en) | Vehicle-mounted navigation method based on least oil consumption | |
| US11403938B2 (en) | Method for determining traffic metrics of a road network | |
| CN108230217A (en) | A kind of energy consumption total emission volumn accounting system and its accounting method based on expressway tol lcollection data | |
| CN107490384B (en) | Optimal static path selection method based on urban road network | |
| CN103542858A (en) | Method of estimating an ability of a vehicle to reach a target road segment, method of generating a database, and navigation system | |
| CN102944887A (en) | Vehicle three-dimension navigation method based on fuel consumption and tail gas exhaust | |
| CN102663887A (en) | Implementation system and method for cloud calculation and cloud service of road traffic information based on technology of internet of things | |
| CN101246513A (en) | City fast road intercommunicated overpass simulation design system and selection method | |
| CN101964941A (en) | Intelligent navigation and position service system and method based on dynamic information | |
| CN103376119A (en) | Method of estimating cruising range and system for estimating a cruising range of a vehicle | |
| CN104731963A (en) | Grid path recommending method and system based on internet of vehicle | |
| CN104269059B (en) | A kind of city Route Travel Time Estimation Method based on multisource data fusion | |
| CN101286242A (en) | GPS positioning information and electronic map charging section matching method | |
| CN101246514A (en) | City fast road intercommunicated overpass simulation design system and method for establishing design model | |
| US20200292338A1 (en) | Dangerous lane strands | |
| CN108871362A (en) | A kind of environmentally friendly trip route planing method of automobile dynamic | |
| JP2012242110A (en) | Apparatus and method for creating road gradient data, storage medium, and apparatus for predicting energy consumption of vehicle | |
| CN102436466A (en) | Bus transfer inquiry method based on geographic information system (GIS) classification |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| ASS | Succession or assignment of patent right |
Owner name: BEIJING PALMGO INFORMATION TECHNOLOGY CO., LTD. Free format text: FORMER OWNER: BEIJING PALMCITY TECHNOLOGY CO., LTD. Effective date: 20141217 |
|
| C41 | Transfer of patent application or patent right or utility model | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20141217 Address after: 100191 Beijing City, Haidian District Xueyuan Road No. 39 Building 9 layer solid Patentee after: BEIJING PALMGO INFORMATION TECHNOLOGY CO., LTD. Address before: 100191 Beijing City, Haidian District Xueyuan Road No. 39 Building 9 layer solid Patentee before: Beijing PalmCity Technology Co., Ltd. |