CN102881152A - Intelligent operating navigation assistant system and method for taxi - Google Patents
Intelligent operating navigation assistant system and method for taxi Download PDFInfo
- Publication number
- CN102881152A CN102881152A CN2012102508226A CN201210250822A CN102881152A CN 102881152 A CN102881152 A CN 102881152A CN 2012102508226 A CN2012102508226 A CN 2012102508226A CN 201210250822 A CN201210250822 A CN 201210250822A CN 102881152 A CN102881152 A CN 102881152A
- Authority
- CN
- China
- Prior art keywords
- module
- vehicle
- data
- taxi
- data center
- 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.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/20—Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
- G08G1/202—Dispatching vehicles on the basis of a location, e.g. taxi dispatching
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/024—Guidance services
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
Abstract
The invention relates to an assistant information system used for searching a passenger source for a taxi, and discloses an intelligent operating navigation assistant system and method for the taxi to help drivers of taxies to search the passenger source more effectively and quickly, and change the passive waiting and blind seeking of passengers on the street. The system comprises a vehicle device, a satellite positioning module, a GSM/GPRS (global system for mobile communications/general packet radio service) or 3G (3rd generation telecommunication) communication module, a display module, an intelligent operating navigation processor module, a map module, a taximeter module, and a system data center. When the taxi is in an empty state, the system can analyze the passenger data at the vicinity area according to the current position of the vehicle, recommend the route and position with the best passenger-carrying opportunity to the driver and display the route and position on a display device. The system can record the driving track, passenger on-off data, travelled distance and charge of the taxi carrying the passengers every time, and other data of all the taxies in the system as the self-learning data of the system, so that the recommendation effectiveness of the system is constantly improved.
Description
Technical field
The present invention relates to a kind of taxi and seek the supplementary system of traveller, both can help the more effective fast searching of taximan to traveller, taxi intelligent operation navigation assistance system and the method that can change again passive wait and blindly sweep the streets and seek the visitor belong to navigational system and make the field.
Background technology
Current taxi market, the taximan is when seeking traveller, usually only have dual mode: a kind of is passive waits user chauffeur, another kind also be the most common then be that the driver drives unloaded taxi and sweeps the streets searching traveller.Under this dual mode, the taximan is in condition more passive and blindly, causes seeking visitor's cost higher, unloaded time and oil consumption all larger.This situation has not only affected taximan's business and income, has also improved the consumer's that need to call a taxi cost, also is unfavorable for low-carbon (LC) and the environmental protection of society simultaneously.
Summary of the invention
Purpose of design: avoid the weak point in the background technology, design a kind of more effective fast searching of taximan that both can help to traveller, taxi intelligent operation navigation assistance system and the method that can change again passive wait and blindly sweep the streets and seek the visitor.
Design proposal: in order to realize above-mentioned purpose of design.The taxi intelligent operation navigation assistance system of the present invention's design, this system can provide effective route and position to recommend to the driver when the taxi light condition, helps the driver more effectively and quickly and easily to search out traveller.Its How It Works is as follows: 1, under the taxi light condition, the native system display screen shows vehicle current location and travel direction.System predicts the ensuing possibility of vehicle travel direction by the analysis to cartographic information, such as: if current without any crossing of turning, then possible travel direction is for keeping current driving direction or tune backward going; If there is the crossroad in the place ahead, then possible travel direction is then for continuing forward, turn left, turn right and reversing end for end backward going.2, the road that enters for each travel direction of current prediction of system, obtain related data to data center, analyze the many factors such as the no-load ratio on this road, unloaded taxis quantity, taxi average overall travel speed, chauffeur number of times and frequency, weather, real-time traffic situation, carrying chance to each bar road is estimated, and can pass through the modes such as color, chart, numeral and literal, present to the driver.3, the driver is in traveling process, and what system was real-time uninterruptedly carries out analysis operation described above and provide the result, helps the driver constantly to seek optimum carrying route.4, the driver can be by chosen position point or input location position information, obtain this location point in no-load ratio, unloaded vehicle number, average overall travel speed, user's chauffeur quantity and the data such as frequency and weather of any historical time, also can obtain the current above every data real-time information of this location point, system can also provide following data prediction analysis on sometime.This can help the carrying chance of the clearer understanding regional of driver and position.5, the data such as the distance travelled of the driving trace of all taxis, passenger getting on/off data, each carrying and charge in system's meeting complete documentation system, sending it back data center by wireless communication module stores, as the data of native system self study, thus the validity that continuous elevator system is recommended.
The present invention comprise the communication modules such as vehicle arrangement, satellite positioning module, GSM/GPRS or 3G, display module, intelligence operation navigating processor module, module, fee register module and system data center etc.Wherein, satellite positioning module is installed on the taxi, is used for the real-time geographic position of vehicle in the acquisition system, and sends this data to data center; The communication module such as GSM/GPRS or 3G is installed on the taxi, is used for data communication and the instruction transmission of completion system data center and vehicle module; Display module can be LCDs or other display equipment, is installed on the taxi, is used for show navigator information; The fee register module is installed on the taxi, is used for recording the charge data of the each carrying of taxi and obtains taxi whether be in light condition; Intelligence operation navigating processor module is the nucleus module of native system, is used for processing the various data that obtain, and by with the communication at system data center, obtain the analysis result of data center, and show that recommendation results is on display device; The ground module is as the module in cartographic information source.The system data center as whole system and core, is comprised of multiple servers and software kit, is responsible for the data that system obtains are stored and calculated, and obtains accordingly result, and returns to vehicle module.
Technical scheme 1: a kind of taxi intelligent operation navigation assistance system, at least by the vehicle module that is built-in with gps satellite locating module and GSM/GPRS or 3G communication module, the satnav group, system data center and mobile communication base station consist of, GPS module in the vehicle module obtains the locating information of vehicle arrangement by the gps satellite group, and be sent to the system data center, pass through the mobile communication platform communication between system data center and the vehicle module, vehicle module passes to the system data center with the data of record, the storage data then are responsible at the system data center, and carry out correlation computations according to the request of vehicle module, result of calculation then returns to vehicle module by mobile communication platform.
Technical scheme 2: a kind of taxi intelligent operation navigation assistant method, when the taxi light condition, system starts intelligent navigation assistant program, the vehicle real-time positioning information that obtains according to the GPS module, after the processor processing, the cartographic information that provides of module in combination, indicate current real time position and the travel direction of this vehicle at the current scope map of demonstration screen display, wherein, the GPS module sent one-time positioning information every 2 seconds to vehicle module and system data center, to guarantee continuity and the reliability of data, this interval time can be by the default adjustment, and processor receives above-mentioned locating information and cartographic information, calculates the possible travel direction of prediction vehicle, and this information exchange is crossed wireless communication module be transferred to the system data center, send computation requests; After the system data center receives this request, the real-time weather data of this vehicle region by Network Capture observatory issue, can be divided into normal mode and sleet day mode according to weather conditions: (1) is not if current weather is sleet, then enter normal mode, inquire about the current real time data that the interior relevant historical data of this request vehicle periphery 5KM scope and other vehicles send, comprise the road no-load ratio, unloaded car quantity, average overall travel speed, neighboring area user's chauffeur quantity and frequency etc., after weighted analysis calculating, draw under all possible travel direction of request vehicle, corresponding carrying chance size, this result is back to the vehicle module processor of request vehicle, processor receives the result of calculation of data center, this result is presented on the display screen, and indicate the carrying chance of each travel direction with color, green this travel direction carrying chance of expression is very large, and yellow expression is general, and red expression chance is very little; (2) if current weather is sleet, then enter the rainy day pattern, in the rainy day situation, the client place of calling a taxi concentrates on the position that some is conveniently taken shelter from rain usually, system also will carry out special computational analysis according to this special status, the current real time data that system queries should ask the interior relevant historical data of vehicle periphery 5KM scope and other vehicles to send, comprise the road no-load ratio, unloaded car quantity, average overall travel speed, neighboring area user's chauffeur quantity and frequency etc., after weighted analysis calculating, draw the position of this request vehicle-surroundings carrying chance maximum, again by calculating the real-time distance of these positions and this request vehicle, analysis-by-synthesis draws optimum carrying point, this result is back to the vehicle module processor of request vehicle, processor receives this result of calculation, this result is presented on the display screen, go out three optimum positions of calling a taxi of periphery with the star symbology, and the acquiescence show navigator is to the first optimal location of system-computed, this moment, the driver can advance according to system's navigation, if the driver thinks that the position of other signs is more suitable, also can pass through other positions of keyboard input selection, as the destination.
In addition, the data analysis that vehicle module (1) is sent when data center, find that high, the unloaded Chefei of peripheral no-load ratio is often many, and data are when showing user number by calling system (such as the taxi call system) accounting is very high in system data, and this moment, system can transfer the best objective dot pattern of waiting to.Namely in this moment of the neighboring area, the user who calls a taxi in the roadside is considerably less, substantially be by the calling system chauffeur, so the driver on the way sweep the streets again seek visitor just no longer valid, can for no reason have more a large amount of empty wagons mileages on the contrary, the waste fuel oil increases vehicle abrasion, wait the visitor not as stopping in certain zone, more reasonable with crying with walking.The best time under the objective dot pattern, data center is according to the data analysis that vehicle module (1) is sent, and calculates that peripheral chauffeur frequency is the highest, traffic is best, parking stall quantity etc., draws best time place far way from home point.The driver waits place far way from home point stop-for-waiting at these, in case user's chauffeur request is arranged, data center sends to vehicle module (1) at once, and be presented on the display screen, the driver accepts at once to rush for the chauffeur place after this request, both improved efficient, effectively reduced again empty wagons mileage and fuel consume, and also allowed the driver more easy and convenient simultaneously.
The present invention compares with background technology, and the one, avoided passive wait user chauffeur; The 2nd, avoided the driver to drive unloaded taxi and swept the streets, seek traveller, make that the cost of seeking the visitor greatly reduces, the unloaded time significantly reduces, oil consumption reduces greatly, and under the prerequisite that reduces taximan's labour intensity, has improved the operation income; The 3rd, low-carbon (LC) and environmental protection.
Description of drawings
Fig. 1 is that the system of a kind of embodiment of the present invention consists of schematic diagram.
Fig. 2 is the EM equipment module structural representation of a kind of embodiment of the present invention.
Fig. 3 is the logical flow chart that the system of a kind of embodiment of the present invention carries out the carrying intelligent navigation.
Fig. 4 is that the normal mode recommended route of the assistance system of a kind of embodiment of the present invention shows schematic diagram.
Fig. 5 is rainy day pattern recommended route and the position display schematic diagram of the assistance system of a kind of embodiment of the present invention.
Fig. 6 is that processor 101 receives this result of calculation, and this result is presented at schematic diagram on the display screen.
Fig. 7 is system logic figure.
Fig. 8 is for showing as a result figure.
Fig. 9 is that system shows as a result figure.
Embodiment
Embodiment 1: with reference to accompanying drawing 1-9.A kind of taxi intelligent operation navigation assistance system, at least by the vehicle module 1 that is built-in with gps satellite locating module and GSM/GPRS or 3G communication module, satnav group 2, system data center 3 and mobile communication base station 4 consist of, GPS module in the vehicle module 1 obtains the locating information of vehicle arrangement by the gps satellite group, and be sent to the system data center, pass through the mobile communication platform communication between system data center and the vehicle module, vehicle module passes to the system data center with the data of record, the storage data then are responsible at the system data center, and carry out correlation computations according to the request of vehicle module, result of calculation then returns to vehicle module by mobile communication platform.Described vehicle module 1 comprise processor 101, wireless communication module 102, GPS module 103, power circuit 104, display screen 105, module 106, keyboard load module 107 and fee register equipment interface 108; Power circuit 104 is to each module for power supply, processor 101 and wireless communication module 102 bidirectional data communications, processor 101 receive from GPS module 103, module 106, keyboard load module 107 and fee register equipment interface (108) data message, processor (101) signal output part connects display screen 105 signal input parts.
Of the present inventionly provide a kind of embodiment, when taxi was in light condition, system can start intelligence operation navigation assistant operation, helps to use the taximan of native system to seek best carrying route.
A kind of embodiment of the present invention system that is shown in Figure 1 consists of signal.Native system is by the communication modules such as tool gps satellite locating module and GSM/GPRS or 3G in the vehicle module 1(), satnav group 2, system data center 3 and mobile communication base station 4 etc. form.
Vehicle module 1 is equipped with the GPS module, obtains the locating information of vehicle arrangement by the gps satellite group, such as latitude and longitude coordinates, speed, direction etc.This locating information is sent to the system data center simultaneously.The system data center is comprised of multiple servers and software kit, pass through the mobile communication platform communication between system data center and the vehicle module, vehicle module passes to the system data center with the data of record, the storage data then are responsible at the system data center, and carry out correlation computations according to the request of vehicle module, result of calculation then returns to vehicle module by mobile communication platform.
Figure 2 shows that the inner structure schematic diagram of vehicle module.Comprised processor 101, wireless communication module 102, GPS module 103, power circuit 104, display screen 105, module 106 and keyboard load module 107.Wherein processor 101 is used for the infosystems such as GPS locator data that processing module obtains, wireless communication data, and sends request to the system data center, obtains after data center's feedback and control the result showing.Wireless communication module 102 is used for the data communication at this module and system data center.GPS module 103 is used for obtaining the locating information of this vehicle module, comprises latitude and longitude coordinates, speed, direction etc.Power circuit 104 is used for to each module for power supply.Display screen 105 is used for the result of operation navigation assistance system is shown to the driver.Ground module 106 is used for the storing map information data, and system will use this map datum when the assistant's that navigates calculating.Keyboard load module 107 is keyboard equipments, is used for inputting data, as the inquiry locality the system for carrying passenger data time, be used for inputting location name etc.Fee register equipment interface 108 is used for connecting this module and taximeter equipment, thereby obtains the charge data of the each carrying of taxi.
There are not fixing starting point and terminal point in the whole navigation procedure.Starting point is the real time position of vehicle, constantly changes.In the process of navigation, there is not the fixed endpoint in traditional navigate mode yet.This navigational system is analyzed the current possible course of vehicle, and for each bar possibility course, provides respectively this circuit and locational carrying chance size, and present to the driver in modes such as chart, numeral, literal, voice.
This system can be with reference to this circuit and locational taxi no-load ratio data when analyzing the carrying chance size of each bar circuit and position.These no-load ratio data refer to that unloaded taxis quantity accounts for the ratio of whole taxis quantities, is divided into historical data and real time data.Historical data is the historical record by system, average taxi no-load ratio on this that a draws circuit and the position; Real time data is this circuit of current time and the locational real-time taxi no-load ratio of system acquisition.General, no-load ratio is higher, shows that then the carrying chance is less.
This system can be with reference to this circuit and the unloaded vehicle fleet size of locational taxi when analyzing the carrying chance size of each bar circuit and position.This zero load vehicle fleet size refers to be divided into historical data and real time data at this circuit and locational unloaded taxi sum.Historical data is the historical record by system, the unloaded vehicle fleet size of this that a draws circuit and locational taxi; Real time data is this circuit of current time and the unloaded vehicle fleet size of locational real-time taxi of system acquisition.General, unloaded car quantity is larger, shows that then the carrying chance is less.
This system can be with reference to this circuit and locational taxi average overall travel speed data when analyzing the carrying chance size of each bar circuit and position.This average running data refers to that all taxis at the ratio of this circuit and locational operating range and running time, are divided into historical data and real time data.Historical data is the historical record by system, average taxi average overall travel speed on this that a draws circuit and the position; Real time data is this circuit of current time and the locational real-time taxi average overall travel speed of system acquisition.General, average overall travel speed is relevant with the congestion of this road, in the certain speed interval, can think that average overall travel speed is less, and then this road more blocks up, and its carrying chance is less.
This system can be with reference to each bar circuit and locational chauffeur request quantity and frequency.This chauffeur request quantity and frequency refer to number of times and the frequency that the user calls a taxi by native system, and number of times and the frequency of by other means chauffeur of the retrievable user of native system (such as local urban taxi chauffeur phone).These data are divided into historical data and real time data: historical data refers to the result that system draws by the historical data that records; Real time data refers to chauffeur number of times and the frequency of the current time of system acquisition.General, chauffeur request quantity less, frequency is lower, shows that then the carrying chance is less.
This system can be with reference to current weather condition.For example, the current weather situation is for raining, and then the rainy day pattern can appear in system, lists in the near zone, and which circuit and position have best carrying chance in the rainy day.
This system can frame of reference in the data such as the distance travelled of driving trace, passenger getting on/off data, each carrying of all taxis and charge, the self study of completion system improves constantly system recommendation result's validity.Such as, this system can carry out performance ordering (the highest or unit income oil consumption of unit interval income is minimum etc.) to taximan all in the system, for the forward driver of rank, system can analyze their drive route track, as a reference value of system's carrying Opportunities Analysis, improve the actual validity of system.
This system can provide the user to inquire about anywhere in the various data of random time.The user can be by chosen position point or input location position information, obtain this location point in no-load ratio, unloaded vehicle number, average overall travel speed, user's chauffeur quantity and the data such as frequency and weather of any historical time, but also current above every data of this location point of Real-time Obtaining, system can also provide following data prediction analysis on sometime.
Embodiment 2: on the basis of embodiment 1, and a kind of taxi intelligent operation navigation assistant method, when the taxi light condition, system starts intelligent navigation assistant program.The vehicle real-time positioning information that obtains according to GPS module 103, after processor 101 processing, the cartographic information that provides of module 106 in combination, showing that (acquiescence shows the map of vehicle-surroundings 5KM scope to the current scope map of screen display, but driver's manual adjustments map indication range), indicate current real time position and the travel direction of this vehicle.Wherein, the GPS module sent one-time positioning information every 2 seconds to vehicle module and system data center, and to guarantee continuity and the reliability of data, this interval time can be by the default adjustment.Processor 101 receives above-mentioned locating information and cartographic information, calculates the possible travel direction of prediction vehicle, and this information exchange is crossed wireless communication module 102 is transferred to the system data center, sends computation requests.After the system data center received this request, at first the real-time weather conditions of this vehicle region in the inquiry system (by the data of Network Capture observatory issue) can be divided into normal mode and rain (snow) day mode according to weather conditions.(1) if current weather is not rainy (snow), then enter normal mode, according to system logic process flow diagram shown in Figure 3, inquire about the current real time data that the interior relevant historical data of this request vehicle periphery 5KM scope and other vehicles send, comprise road no-load ratio, unloaded car quantity, average overall travel speed, neighboring area user's chauffeur quantity and frequency etc., after weighted analysis calculating, draw under all possible travel direction of request vehicle, corresponding carrying chance size is back to this result the vehicle module processor 101 of asking vehicle.Processor 101 receives the result of calculation of data center, this result is presented on the display screen, as shown in Figure 4: indicate the carrying chance of each travel direction with color, green this travel direction carrying chance of expression is very large, yellow expression is general, and red expression chance is very little.(2) if current weather for raining (snow), then enters the rainy day pattern.In the rainy day situation, the client place of calling a taxi concentrates on the position that some is conveniently taken shelter from rain usually, system also will carry out special computational analysis according to this special status, its logical flow chart is as shown in Figure 5: system queries relevant historical data and current real time data of sending of other vehicles in should request vehicle periphery 5KM scope, comprise the road no-load ratio, unloaded car quantity, average overall travel speed, neighboring area user's chauffeur quantity and frequency etc., after weighted analysis calculating, draw the position of this request vehicle-surroundings carrying chance maximum, again by calculating the real-time distance of these positions and this request vehicle, analysis-by-synthesis draws optimum carrying point, this result is back to the vehicle module processor 101 of request vehicle.Processor 101 receives this result of calculation, and this result is presented on the display screen, as shown in Figure 6: go out three optimum positions of calling a taxi of periphery with the star symbology, and the acquiescence show navigator is to the first optimal location of system-computed.This moment, the driver can advance according to system's navigation.If the driver thinks that the position of other signs is more suitable, also can pass through other positions of keyboard input selection, as the destination.Above system operational process is that real-time continuous is carried out, and namely in the Vehicle Driving Cycle process, vehicle module periodically sent location and other information every 2 seconds, and system carries out continual analytical calculation, and is presented on the display screen during with fructufy.
The driver can inquire about the carrying data (comprising no-load ratio, unloaded car quantity, average overall travel speed, chauffeur quantity and frequency etc.) of optional position in the process of moving at any time.The driver only needs to draw the coordinate information of this position by keyboard input devices input place through map inquiry, and processor 101 sends to system data center requests result of calculation with this positional information.After data center receives this request, related data (comprising historical data and current real time data) in the inquiry system, and the result returned to processor 101.101 of processors are presented at this result on the display screen.System logic figure shows the result as shown in Figure 8 as shown in Figure 7.
Embodiment 3: the data analysis that vehicle module (1) is sent when data center, find that high, the unloaded Chefei of peripheral no-load ratio is often many, and data are when showing user number by calling system (such as the taxi call system) accounting is very high in system data, and this moment, system can transfer the best objective dot pattern of waiting to.By no-load ratio, unloaded car quantity and by the data values such as ratio of system's chauffeur number of users in system, can set a boundary value, such as no-load ratio surpass 70%, empty wagons quantity surpasses 50 ones in 1 hour, surpasses 80% by system's chauffeur quantitative proportion, starts the best objective dot pattern of waiting when satisfying above condition.Certainly, this condition can be continued to optimize, adjust by system's cumulative data.
Wait under the objective dot pattern in the best, the data that system will send according to the vehicle module that obtains (1) of data center, analysis-by-synthesis periphery chauffeur frequency is the highest, traffic is best, parking stall quantity etc., draw best time place far way from home point, guarantee that the driver can arrive in the place of the most normal chauffeur within the fastest time.Data center is back to processor 101 with the result, and 101 of processors are presented at this result on the display screen, waits objective points so that three of triangle icon signs are best, and the indication driver waits place far way from home point stop-for-waiting at these.System shows the result as shown in Figure 9.
Need to indicate, the above is the preferred embodiments of the present invention only, is not limited to the present invention, and for a person skilled in the art, the present invention can have various variations and change.Can use existing touch display screen to replace such as keyboard input devices 107 and display device 105, thereby omit keyboard input devices.Yet, within all the spirit and principles in the present invention, any modification of doing, be equal to for improving etc., all should be included within the claim scope of the present invention.
What need to understand is: although above-described embodiment is to the mentality of designing of the present invention detailed text description of contrasting; but these text descriptions; just the simple text of mentality of designing of the present invention is described; rather than to the restriction of mentality of designing of the present invention; any combination, increase or modification that does not exceed mentality of designing of the present invention all falls within the scope of protection of the present invention.
Claims (5)
1. taxi intelligent operation navigation assistance system, it is characterized in that at least by the vehicle module (1) that is built-in with gps satellite locating module and GSM/GPRS or 3G communication module, satnav group (2), system data center (3) and mobile communication base station (4) consist of, GPS module in the vehicle module (1) obtains the locating information of vehicle arrangement by the gps satellite group, and be sent to the system data center, pass through the mobile communication platform communication between system data center and the vehicle module, vehicle module passes to the system data center with the data of record, the storage data then are responsible at the system data center, and carry out correlation computations according to the request of vehicle module, result of calculation then returns to vehicle module by mobile communication platform.
2. taxi intelligent according to claim 1 operation navigation assistance system is characterized in that: described vehicle module (1) comprise processor (101), wireless communication module (102), GPS module (103), power circuit (104), display screen (105), module (106), keyboard load module (107) and fee register equipment interface (108); Power circuit (104) is to each module for power supply, processor (101) and wireless communication module (102) bidirectional data communication, processor (101) receive from GPS module (103), module (106), keyboard load module (107) and fee register equipment interface (108) data message, processor (101) signal output part connects display screen (105) signal input part.
3. taxi intelligent operation navigation assistant method, it is characterized in that: when the taxi light condition, system starts intelligent navigation assistant program, the vehicle real-time positioning information that obtains according to GPS module (103), after processor (101) processing, the cartographic information that provides of module (106) in combination, indicate current real time position and the travel direction of this vehicle at the current scope map of demonstration screen display, wherein, the GPS module sent one-time positioning information every 2 seconds to vehicle module and system data center, to guarantee continuity and the reliability of data, this interval time can be by the default adjustment, and processor (101) receives above-mentioned locating information and cartographic information, calculates the possible travel direction of prediction vehicle, and this information exchange is crossed wireless communication module (102) be transferred to the system data center, send computation requests; After the system data center receives this request, the real-time weather data of this vehicle region by Network Capture observatory issue, can be divided into normal mode and sleet day mode according to weather conditions: (1) is not if current weather is sleet, then enter normal mode, inquire about the current real time data that the interior relevant historical data of this request vehicle periphery 5KM scope and other vehicles send, comprise the road no-load ratio, unloaded car quantity, average overall travel speed, neighboring area user's chauffeur quantity and frequency etc., after weighted analysis calculating, draw under all possible travel direction of request vehicle, corresponding carrying chance size, this result is back to the vehicle module processor (101) of request vehicle, processor (101) receives the result of calculation of data center, this result is presented on the display screen, and indicate the carrying chance of each travel direction with color, green this travel direction carrying chance of expression is very large, and yellow expression is general, and red expression chance is very little; (2) if current weather is sleet, then enter the rainy day pattern, in the rainy day situation, the client place of calling a taxi concentrates on the position that some is conveniently taken shelter from rain usually, system also will carry out special computational analysis according to this special status, the current real time data that system queries should ask the interior relevant historical data of vehicle periphery 5KM scope and other vehicles to send, comprise the road no-load ratio, unloaded car quantity, average overall travel speed, neighboring area user's chauffeur quantity and frequency etc., after weighted analysis calculating, draw the position of this request vehicle-surroundings carrying chance maximum, again by calculating the real-time distance of these positions and this request vehicle, analysis-by-synthesis draws optimum carrying point, this result is back to the vehicle module processor (101) of request vehicle, processor (101) receives this result of calculation, this result is presented on the display screen, go out three optimum positions of calling a taxi of periphery with the star symbology, and the acquiescence show navigator is to the first optimal location of system-computed, this moment, the driver can advance according to system's navigation, if the driver thinks that the position of other signs is more suitable, also can pass through other positions of keyboard input selection, as the destination.
4. taxi intelligent according to claim 3 operation navigation assistant method, it is characterized in that: in the Vehicle Driving Cycle process, vehicle module periodically sent location and other information every 2 seconds, system carries out continual analytical calculation, and was presented on the display screen during with fructufy.
5. taxi intelligent according to claim 3 operation navigation assistant method, it is characterized in that: the data analysis that vehicle module (1) is sent when data center, find that peripheral no-load ratio is high, unloaded Chefei is often many, and data are when showing user number by calling system accounting is very high in system data, this moment, system can transfer the best objective dot pattern of waiting to, data center is according to the data analysis that vehicle module (1) is sent, calculate peripheral chauffeur frequency the highest, traffic is best, parking stall quantity etc., draw best time place far way from home point, the driver waits place far way from home point stop-for-waiting at these, in case user's chauffeur request is arranged, data center sends to vehicle module (1) at once, and be presented on the display screen, the driver accepts at once to rush for the chauffeur place after this request, both improved efficient, effectively reduced again empty wagons mileage and fuel consume, and also allowed the driver more easy and convenient simultaneously.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210250822.6A CN102881152B (en) | 2012-07-19 | 2012-07-19 | Taxi intelligent operation navigation assistant method |
| PCT/CN2013/079633 WO2014012508A1 (en) | 2012-07-19 | 2013-07-18 | Intelligent operation navigation assistant system and method for taxicab |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210250822.6A CN102881152B (en) | 2012-07-19 | 2012-07-19 | Taxi intelligent operation navigation assistant method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102881152A true CN102881152A (en) | 2013-01-16 |
| CN102881152B CN102881152B (en) | 2015-09-16 |
Family
ID=47482458
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201210250822.6A Expired - Fee Related CN102881152B (en) | 2012-07-19 | 2012-07-19 | Taxi intelligent operation navigation assistant method |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN102881152B (en) |
| WO (1) | WO2014012508A1 (en) |
Cited By (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103177572A (en) * | 2013-02-22 | 2013-06-26 | 王兴健 | Intelligent taxi dispatching |
| WO2014012508A1 (en) * | 2012-07-19 | 2014-01-23 | Zhou Wenwei | Intelligent operation navigation assistant system and method for taxicab |
| CN103544834A (en) * | 2013-11-14 | 2014-01-29 | 孙林 | Taxi customer seeking strategy selection method based on GPS track |
| CN104123845A (en) * | 2013-04-28 | 2014-10-29 | 朱孝杨 | Modern control theory based intelligent dynamic navigation |
| CN104252495A (en) * | 2013-06-28 | 2014-12-31 | Sap欧洲公司 | Method and system for grading road sections |
| CN104794888A (en) * | 2014-11-13 | 2015-07-22 | 北京东方车云信息技术有限公司 | Sent order ranking system and sent order ranking method for reducing empty driving and waiting time in networked taxi renting |
| CN104794890A (en) * | 2015-04-27 | 2015-07-22 | 北京嘀嘀无限科技发展有限公司 | Method and equipment for acquiring number of vehicles capable of carrying passengers |
| CN104794889A (en) * | 2015-03-12 | 2015-07-22 | 北京嘀嘀无限科技发展有限公司 | Method and equipment for pushing order forms |
| WO2015161828A1 (en) * | 2014-04-24 | 2015-10-29 | Beijing Didi Infinity Science And Technology Limited | System and method for managing supply of service |
| CN105022742A (en) * | 2014-04-24 | 2015-11-04 | 深圳市赛格导航科技股份有限公司 | Position-and-weather based data management method and data management system |
| CN105608887A (en) * | 2016-02-16 | 2016-05-25 | 深圳市京泰基科技有限公司 | System and method for optimizing driver passenger-carrying area through call information |
| CN105808784A (en) * | 2016-03-31 | 2016-07-27 | 北京小度信息科技有限公司 | Recommendation method and device |
| CN107832882A (en) * | 2017-11-03 | 2018-03-23 | 上海交通大学 | A kind of taxi based on markov decision process seeks objective policy recommendation method |
| CN108009188A (en) * | 2017-08-16 | 2018-05-08 | 北京嘀嘀无限科技发展有限公司 | Thermodynamic chart methods of exhibiting, system, terminal and server |
| CN108898535A (en) * | 2015-12-01 | 2018-11-27 | 伟摩有限责任公司 | Area and area is put down for carrying for autonomous vehicle |
| CN110567474A (en) * | 2019-09-10 | 2019-12-13 | 马园 | Taxi real-time tour route recommendation system and method based on big data |
| WO2020086409A1 (en) * | 2018-10-23 | 2020-04-30 | Uber Technologies, Inc. | Prediction engine for a network-based service |
| CN111169464A (en) * | 2018-11-13 | 2020-05-19 | 上海飞田通信股份有限公司 | Taxi customer management system |
| CN112219217A (en) * | 2018-06-08 | 2021-01-12 | 索尼公司 | Information processing apparatus, information processing method, and program |
| WO2021016989A1 (en) * | 2019-08-01 | 2021-02-04 | Beijing Didi Infinity Technology And Development Co., Ltd. | Hierarchical coarse-coded spatiotemporal embedding for value function evaluation in online multidriver order dispatching |
| CN114973744A (en) * | 2022-05-10 | 2022-08-30 | 江苏国科北斗智能研究院有限公司 | Public travel passenger flow and road condition real-time analysis system based on block chain |
| CN114973744B (en) * | 2022-05-10 | 2024-04-26 | 江苏国科北斗智能研究院有限公司 | Public travel passenger flow and road condition real-time analysis system based on blockchain |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109874109B (en) * | 2017-12-01 | 2022-07-29 | 上海博泰悦臻网络技术服务有限公司 | Vehicle-mounted equipment and service information pushing method thereof |
| CN110221605A (en) * | 2019-05-16 | 2019-09-10 | 厦门理工学院 | Meeting method, apparatus, equipment and the storage medium of pilotless automobile |
| CN110490393B (en) * | 2019-09-24 | 2022-05-31 | 湖南科技大学 | Taxi passenger-searching route planning method, system and medium combining experience and direction |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004046309A (en) * | 2002-07-09 | 2004-02-12 | Takashi Wada | Taxi dispatch system |
| JP2009060477A (en) * | 2007-09-03 | 2009-03-19 | Yasuaki Iwai | Image recording device mounted to vehicle |
| CN101639910A (en) * | 2009-08-28 | 2010-02-03 | 交通部公路科学研究院 | Taxi intelligent service system |
| CN201540599U (en) * | 2009-09-07 | 2010-08-04 | 陕西凌云科技有限责任公司 | Intelligent monitoring and managing equipment for taxi |
| CN201887752U (en) * | 2010-09-10 | 2011-06-29 | 厦门雅迅网络股份有限公司 | Multimedia digital equipment for taxi |
| CN202904877U (en) * | 2012-07-19 | 2013-04-24 | 周文伟 | Intelligent taxi operation navigation assistant system |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1285518A (en) * | 2000-09-05 | 2001-02-28 | 泉州海洋高科技电子有限公司 | Positioning communication assembling system |
| CN101620781B (en) * | 2008-06-30 | 2012-08-29 | 株式会社查纳位资讯情报 | System and method for forecasting passenger information and searching the same |
| CN102176039A (en) * | 2011-01-25 | 2011-09-07 | 北京中交通信科技有限公司 | Embedded type GNSS (Global Navigation Satellite System) vehicle monitoring system for traffic industry |
| CN102881152B (en) * | 2012-07-19 | 2015-09-16 | 杭州路招网络科技有限公司 | Taxi intelligent operation navigation assistant method |
| CN102901503A (en) * | 2012-10-22 | 2013-01-30 | 杭州九树网络科技有限公司 | Navigation information transmitting system and method |
-
2012
- 2012-07-19 CN CN201210250822.6A patent/CN102881152B/en not_active Expired - Fee Related
-
2013
- 2013-07-18 WO PCT/CN2013/079633 patent/WO2014012508A1/en active Application Filing
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004046309A (en) * | 2002-07-09 | 2004-02-12 | Takashi Wada | Taxi dispatch system |
| JP2009060477A (en) * | 2007-09-03 | 2009-03-19 | Yasuaki Iwai | Image recording device mounted to vehicle |
| CN101639910A (en) * | 2009-08-28 | 2010-02-03 | 交通部公路科学研究院 | Taxi intelligent service system |
| CN201540599U (en) * | 2009-09-07 | 2010-08-04 | 陕西凌云科技有限责任公司 | Intelligent monitoring and managing equipment for taxi |
| CN201887752U (en) * | 2010-09-10 | 2011-06-29 | 厦门雅迅网络股份有限公司 | Multimedia digital equipment for taxi |
| CN202904877U (en) * | 2012-07-19 | 2013-04-24 | 周文伟 | Intelligent taxi operation navigation assistant system |
Cited By (37)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014012508A1 (en) * | 2012-07-19 | 2014-01-23 | Zhou Wenwei | Intelligent operation navigation assistant system and method for taxicab |
| CN103177572B (en) * | 2013-02-22 | 2016-03-09 | 王兴健 | Taxi intelligent is dispatched |
| CN103177572A (en) * | 2013-02-22 | 2013-06-26 | 王兴健 | Intelligent taxi dispatching |
| CN104123845A (en) * | 2013-04-28 | 2014-10-29 | 朱孝杨 | Modern control theory based intelligent dynamic navigation |
| CN104252495A (en) * | 2013-06-28 | 2014-12-31 | Sap欧洲公司 | Method and system for grading road sections |
| CN103544834A (en) * | 2013-11-14 | 2014-01-29 | 孙林 | Taxi customer seeking strategy selection method based on GPS track |
| CN103544834B (en) * | 2013-11-14 | 2016-03-16 | 孙林 | Objective tactful selection method sought by a kind of taxi based on GPS track |
| WO2015161828A1 (en) * | 2014-04-24 | 2015-10-29 | Beijing Didi Infinity Science And Technology Limited | System and method for managing supply of service |
| US10037503B2 (en) | 2014-04-24 | 2018-07-31 | Beijing Didi Infinity Technology And Development Co., Ltd. | System and method for managing supply of service |
| CN105022742A (en) * | 2014-04-24 | 2015-11-04 | 深圳市赛格导航科技股份有限公司 | Position-and-weather based data management method and data management system |
| GB2539852B (en) * | 2014-04-24 | 2021-02-17 | Beijing Didi Infinity Technology & Dev Co Ltd | System and method for managing supply of service |
| US10373089B2 (en) | 2014-04-24 | 2019-08-06 | Beijing Didi Infinity Technology And Development Co., Ltd. | System and method for managing supply of service |
| GB2539852A (en) * | 2014-04-24 | 2016-12-28 | Beijing Didi Infinity Science And Tech Ltd | System and method for managing supply of service |
| CN104794888A (en) * | 2014-11-13 | 2015-07-22 | 北京东方车云信息技术有限公司 | Sent order ranking system and sent order ranking method for reducing empty driving and waiting time in networked taxi renting |
| CN104794889A (en) * | 2015-03-12 | 2015-07-22 | 北京嘀嘀无限科技发展有限公司 | Method and equipment for pushing order forms |
| CN104794889B (en) * | 2015-03-12 | 2019-03-15 | 北京嘀嘀无限科技发展有限公司 | Method and apparatus for pushing order |
| CN104794890A (en) * | 2015-04-27 | 2015-07-22 | 北京嘀嘀无限科技发展有限公司 | Method and equipment for acquiring number of vehicles capable of carrying passengers |
| CN108898535A (en) * | 2015-12-01 | 2018-11-27 | 伟摩有限责任公司 | Area and area is put down for carrying for autonomous vehicle |
| US11774972B2 (en) | 2015-12-01 | 2023-10-03 | Waymo Llc | Pickup and drop off zones for autonomous vehicles |
| CN108898535B (en) * | 2015-12-01 | 2022-11-08 | 伟摩有限责任公司 | Pick-up and drop-off zones for autonomous vehicles |
| CN105608887A (en) * | 2016-02-16 | 2016-05-25 | 深圳市京泰基科技有限公司 | System and method for optimizing driver passenger-carrying area through call information |
| CN105808784A (en) * | 2016-03-31 | 2016-07-27 | 北京小度信息科技有限公司 | Recommendation method and device |
| CN108009188A (en) * | 2017-08-16 | 2018-05-08 | 北京嘀嘀无限科技发展有限公司 | Thermodynamic chart methods of exhibiting, system, terminal and server |
| CN107832882A (en) * | 2017-11-03 | 2018-03-23 | 上海交通大学 | A kind of taxi based on markov decision process seeks objective policy recommendation method |
| US11946754B2 (en) | 2018-06-08 | 2024-04-02 | Sony Corporation | Information processing apparatus, information processing method, and program |
| CN112219217A (en) * | 2018-06-08 | 2021-01-12 | 索尼公司 | Information processing apparatus, information processing method, and program |
| WO2020086409A1 (en) * | 2018-10-23 | 2020-04-30 | Uber Technologies, Inc. | Prediction engine for a network-based service |
| US11082529B2 (en) * | 2018-10-23 | 2021-08-03 | Uber Technologies, Inc. | Prediction engine for a network-based service |
| CN111169464B (en) * | 2018-11-13 | 2021-07-27 | 上海飞田通信股份有限公司 | Taxi customer management system |
| CN111169464A (en) * | 2018-11-13 | 2020-05-19 | 上海飞田通信股份有限公司 | Taxi customer management system |
| WO2021016989A1 (en) * | 2019-08-01 | 2021-02-04 | Beijing Didi Infinity Technology And Development Co., Ltd. | Hierarchical coarse-coded spatiotemporal embedding for value function evaluation in online multidriver order dispatching |
| CN111798026A (en) * | 2019-09-10 | 2020-10-20 | 马园 | Taxi real-time tour route recommendation method based on big data |
| CN111798025A (en) * | 2019-09-10 | 2020-10-20 | 马园 | Taxi real-time tour route recommendation system based on big data |
| CN110567474B (en) * | 2019-09-10 | 2020-07-14 | 乐清市芮易经济信息咨询有限公司 | Taxi real-time tour route recommendation system and method based on big data |
| CN110567474A (en) * | 2019-09-10 | 2019-12-13 | 马园 | Taxi real-time tour route recommendation system and method based on big data |
| CN114973744A (en) * | 2022-05-10 | 2022-08-30 | 江苏国科北斗智能研究院有限公司 | Public travel passenger flow and road condition real-time analysis system based on block chain |
| CN114973744B (en) * | 2022-05-10 | 2024-04-26 | 江苏国科北斗智能研究院有限公司 | Public travel passenger flow and road condition real-time analysis system based on blockchain |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2014012508A1 (en) | 2014-01-23 |
| CN102881152B (en) | 2015-09-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102881152B (en) | Taxi intelligent operation navigation assistant method | |
| US11281218B1 (en) | Generating and transmitting parking instructions for autonomous and non-autonomous vehicles | |
| US20230232185A1 (en) | Generating and Transmitting Parking Instructions for Autonomous and Non-Autonomous Vehicles | |
| CN202904877U (en) | Intelligent taxi operation navigation assistant system | |
| US10969234B2 (en) | Multimodal vehicle routing system and method with vehicle parking | |
| US10140854B2 (en) | Vehicle traffic state determination | |
| CN102226933B (en) | Parking route guidance method and device | |
| CN102663894B (en) | Road traffic condition foreknowing system and method based on internet of things | |
| US7860647B2 (en) | Guide report device, system thereof, method thereof, program for executing the method, and recording medium containing the program | |
| US20180053237A1 (en) | Generating and Transmitting Parking Instructions for Autonomous and Non-Autonomous Vehicles | |
| CN112602128B (en) | road traffic navigation system | |
| US20070040701A1 (en) | Parking space locator | |
| CN105513395A (en) | Intelligent information pushing system and method based on vehicle destination prediction | |
| CN104732782A (en) | Invented intelligent online type traffic light and intelligent traffic system and method thereof | |
| CN1417061A (en) | Automobile navigation device | |
| WO2018035403A1 (en) | Generating and transmitting parking instructions for autonomous and non-autonomous vehicles | |
| CN102034365B (en) | Vehicle-mounted intelligent parking guidance system | |
| JP2006308390A (en) | Riding position guidance system, route search server and program, and riding position guidance terminal | |
| US20200380548A1 (en) | Information processing apparatus, information processing method, and non-transitory storage medium | |
| JP6682193B2 (en) | Notification system, server device, communication terminal device, program and notification method | |
| CN1512138A (en) | Method for realizing vehicle network navigation based on GPS and GPRS | |
| SE1230003A1 (en) | ShowPark, system and method of parking assistance in an open urban environment | |
| CN103177571B (en) | A kind of monitoring and dispatching system and implementation method in real time | |
| US20230375347A1 (en) | Driving assistance device and computer program | |
| WO2022044486A1 (en) | Driving assistance device and computer program |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| ASS | Succession or assignment of patent right |
Owner name: HANGZHOU LUZHAO NETWORK TECHNOLOGY CO., LTD. Free format text: FORMER OWNER: ZHOU WENWEI Effective date: 20140515 |
|
| C41 | Transfer of patent application or patent right or utility model | ||
| COR | Change of bibliographic data |
Free format text: CORRECT: ADDRESS; FROM: 310012 HANGZHOU, ZHEJIANG PROVINCE TO: 311121 HANGZHOU, ZHEJIANG PROVINCE |
|
| TA01 | Transfer of patent application right |
Effective date of registration: 20140515 Address after: Yuhang District, Hangzhou City, Zhejiang Province, 311121 West No. 1500 Building 1 room 532 Applicant after: Hangzhou Luzhao Network Technology Co., Ltd. Address before: Hangzhou City, Zhejiang province 310012 Xihu District Wenyi road provides 10 people white unit 3 Building Room 202 Applicant before: Zhou Wenwei |
|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C41 | Transfer of patent application or patent right or utility model | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20161009 Address after: 310012, room 50, No. 1-502, Xihu District, Zhejiang, Hangzhou, Xueyuan Road Patentee after: Hangzhou Jiushu Network Technology Co., Ltd. Address before: Yuhang District, Hangzhou City, Zhejiang Province, 311121 West No. 1500 Building 1 room 532 Patentee before: Hangzhou Luzhao Network Technology Co., Ltd. |
|
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20150916 Termination date: 20160719 |