CN102881152B - Taxi intelligent operation navigation assistant method - Google Patents
Taxi intelligent operation navigation assistant method Download PDFInfo
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- CN102881152B CN102881152B CN201210250822.6A CN201210250822A CN102881152B CN 102881152 B CN102881152 B CN 102881152B CN 201210250822 A CN201210250822 A CN 201210250822A CN 102881152 B CN102881152 B CN 102881152B
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- 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
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- 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
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- 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
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Abstract
The present invention relates to the assistant information system that traveller found by a kind of taxi, both the more effective fast searching of taximan can have been helped to traveller, passive wait can be changed again and blindly sweep the streets the taxi intelligent operation navigation assistance system and method for seeking visitor, comprise the communication modules such as vehicle arrangement, satellite positioning module, GSM/GPRS or 3G, display module, intelligence operation navigating processor module, mapping module, fee register module and system data center etc.When taxi is at complete vehicle curb condition, native system, by the position current according to vehicle, to the carrying data analysis of near zone, recommend route and the position with best carrying chance to driver, and display on the display device.Native system can the data such as the distance travelled of the driving trace of all taxis, passenger getting on/off data, each carrying in register system and charge, as the data of native system self study, thus the recommendation validity of continuous elevator system.
Description
Technical field
The present invention relates to the assistant information system that traveller found by a kind of taxi, both the more effective fast searching of taximan can have been helped to traveller, passive wait can be changed again and blindly sweep the streets the taxi intelligent operation navigation assistance system and method for seeking visitor, belong to navigational system and manufacture field.
Background technology
Current taxi market, taximan, when finding traveller, only has two kinds of modes: one is passive wait user chauffeur usually, another kind of also common, is that the unloaded taxi of driver sweeps the streets, finds traveller.Under these two kinds of modes, taximan is in more passive and blindly condition, the time that the cost causing seeking visitor is higher, unloaded and oil consumption all larger.This situation not only have impact on business and the income of taximan, also improves the cost needing the consumer called a taxi, and is also unfavorable for low-carbon (LC) and the environmental protection of society simultaneously.
Summary of the invention
Purpose of design: avoid the weak point in background technology, design one both can help the more effective fast searching of taximan to traveller, can change again passive wait and blindly sweep the streets the taxi intelligent operation navigation assistance system and method for seeking 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, when taxi light condition, can provide effective route and position to recommend to driver, help driver more effectively and quickly and easily to search out traveller.Its How It Works is as follows: 1, under taxi light condition, native system display screen display current vehicle position and travel direction.System, by the analysis to cartographic information, predicts vehicle ensuing possibility travel direction, and 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 crossroad in front, then possible travel direction is then for continuing forward, turning left, turn right and reverse end for end backward going.2, the road that enters for each travel direction of current predictive of system, related data is obtained 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 condition, the carrying chance of each road is evaluated, and can the modes such as color, chart, numeral and word be passed through, present to driver.3, driver is in traveling process, real-time uninterruptedly the carrying out analysis operation described above and provide result of system, helps driver constantly to find optimum carrying route.4, driver is by chosen position point or input location position information, obtain this location point in the no-load ratio of any historical time, empty-car number, average overall travel speed, user's chauffeur quantity and the data such as frequency and weather, also can obtain above every data real-time information that this location point is current, system can also provide following sometime on data prediction analysis.This can help the carrying chance of the clearer understanding regional of driver and position.5, system can the data such as the distance travelled of the driving trace of all taxis, passenger getting on/off data, each carrying in complete documentation system and charge, send it back data center by wireless communication module to store, as the data of native system self study, thus the validity of constantly elevator system recommendation.
The present invention comprises the communication modules such as vehicle arrangement, satellite positioning module, GSM/GPRS or 3G, display module, intelligence operation navigating processor module, mapping module, fee register module and system data center etc.Wherein, satellite positioning module is arranged on taxi, is used for the real-time geographical locations of vehicle in acquisition system, and sends this data to data center; The communication modules such as GSM/GPRS or 3G, are arranged on taxi, are used for the data communication of completion system data center and vehicle module and instruction transmission; Display module can be LCDs or other display equipment, is arranged on taxi, is used for show navigator information; Fee register module, is arranged on taxi, is used for recording the charge data of taxi each carrying and obtains taxi and whether be in light condition; Intelligence operation navigating processor module, is the nucleus module of native system, is used for processing the various data obtained, and by the communication with system data center, obtain the analysis result of data center, and show recommendation results on the display device; Mapping module, as the module in cartographic information source.System data center, as whole system and core, is made up of multiple servers and software kit, and the data be responsible for system obtains store and calculate, and obtain accordingly result, and return to vehicle module.
Technical scheme 1: a kind of taxi intelligent operation navigation assistance system, at least by the vehicle module being built-in with gps satellite locating module and GSM/GPRS or 3G communication module, satnav group, system data center and mobile communication base station are formed, GPS module in vehicle module obtains the locating information of vehicle arrangement by gps satellite group, and be sent to system data center, by mobile communication platform communication between system data center and vehicle module, the data of record are passed to system data center by vehicle module, system data center is then responsible for storing data, 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 taxi light condition, system starts intelligent navigation assistant program, according to the vehicle real-time positioning information that GPS module obtains, after processor process, the cartographic information that theres is provided of module in combination, show current instant position and the travel direction that this vehicle indicated by present scope map on a display screen, wherein, GPS module sent one-time positioning information every 2 seconds to vehicle module and system data center, to ensure continuity and the reliability of data, this interval time can be adjusted by default, processor receives above-mentioned locating information and cartographic information, the travel direction that computational prediction vehicle is possible, and this information is transferred to system data center by wireless communication module, send computation requests, after system data receive centre to this request, the real-time weather data of this vehicle region issued by Network Capture observatory, normal mode and sleet day mode can be divided into: (1) is not if current weather is sleet according to weather conditions, then enter normal mode, inquire about the current real-time data that relevant historical data within the scope of this request vehicle periphery 5KM 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 calculates, under drawing 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, by the display of this result on a display screen, and the carrying chance of each travel direction is indicated by color, green this travel direction carrying chance of expression is very large, yellow expression is general, red expression chance is very little, (2) if current weather is sleet, then enter rainy day pattern, in rainy day situation, client place of calling a taxi concentrates on some position of conveniently taking shelter from rain usually, system also carries out special computational analysis by according to this special status, the current real-time data that relevant historical data within the scope of this request vehicle periphery of system queries 5KM 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 calculates, draw the position that this request vehicle-surroundings carrying chance is maximum, again by calculating the real-time distance of these positions and this request vehicle, comprehensive analysis draws optimum passenger point, this result is back to the vehicle module processor of request vehicle, processor receives this result of calculation, by the display of this result on a display screen, three positions of calling a taxi of periphery optimum are gone out by star symbology, and give tacit consent to first optimal location of show navigator to system-computed, now driver can advance according to system navigate, if driver thinks that the position that other indicate is more suitable, also other positions are selected by input through keyboard, as destination.
In addition, when the data analysis that data center sends vehicle module (1), find that high, the unloaded Chefei of periphery no-load ratio is often many, and data display is when by the user number of calling system (as taxi call system), in system data, accounting is very high, now system can transfer to and bestly waits objective dot pattern.Namely now in neighboring area, the user called a taxi in roadside is considerably less, substantially be by calling system chauffeur, so driver on the way sweeps the streets again, and to seek visitor just no longer valid, for no reason can have more a large amount of empty wagons mileage on the contrary, waste fuel oil, increases vehicle abrasion, visitor is waited not as stopping in certain region, more reasonable with crying with walking.Best wait objective dot pattern under, data center, according to the data analysis sent vehicle module (1), calculates that periphery chauffeur frequency is the highest, traffic is best, parking stall quantity etc., draws the time place far way from home point of the best.Driver waits place far way from home point stop-for-waiting at these, once there be user's chauffeur request, data center sends to vehicle module (1) at once, and display on a display screen, driver rushes for chauffeur place after accepting this request at once, both improve efficiency, effectively reduced again empty wagons mileage and fuel consume, and also allowed driver more easy and convenient simultaneously.
The present invention is compared with background technology, and one is that of avoiding passive wait user chauffeur; Two are that of avoiding the unloaded taxi of driver sweeps the streets, and finds traveller, and make that the cost seeking visitor greatly reduces, the unloaded time significantly reduces, oil consumption reduces greatly, and under the prerequisite reducing taximan's labour intensity, improves operation income; Three is low-carbon (LC) and environmental protection.
Accompanying drawing explanation
Fig. 1 is the System's composition schematic diagram of a kind of embodiment of the present invention.
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 carrying intelligent navigation.
Fig. 4 is the normal mode recommended route display schematic diagram of the assistance system of a kind of embodiment of the present invention.
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 shown schematic diagram on a display screen.
Fig. 7 is system logic figure.
Fig. 8 is display result figure.
Fig. 9 is system display 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 being 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 are formed, GPS module in vehicle module 1 obtains the locating information of vehicle arrangement by gps satellite group, and be sent to system data center, by mobile communication platform communication between system data center and vehicle module, the data of record are passed to system data center by vehicle module, system data center is then responsible for storing data, 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 comprises processor 101, wireless communication module 102, GPS module 103, power circuit 104, display screen 105, mapping module 106, input through keyboard 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 receives from GPS module 103, mapping module 106, input through keyboard module 107 and fee register equipment interface (108) data message, and processor (101) signal output part connects display screen 105 signal input part.
Of the present inventionly provide a kind of embodiment, when taxi is in light condition, system can start intelligence operation navigation assistance operations, helps to use the taximan of native system to find best carrying route.
A kind of embodiment System's composition signal of the present invention is shown in Fig. 1.Native system is by the communication module such as tool gps satellite locating module and GSM/GPRS or 3G in vehicle module 1(), satnav group 2, system data center 3 and mobile communication base station 4 etc. form.
Vehicle module 1 is provided with GPS module, is obtained the locating information of vehicle arrangement by gps satellite group, as latitude and longitude coordinates, speed, direction etc.This locating information is sent to system data center simultaneously.System data center is made up of multiple servers and software kit, by mobile communication platform communication between system data center and vehicle module, the data of record are passed to system data center by vehicle module, system data center is then responsible for storing data, 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.Contain processor 101, wireless communication module 102, GPS module 103, power circuit 104, display screen 105, mapping module 106 and input through keyboard module 107.Wherein processor 101 is used for the infosystem such as GPS locator data, wireless communication data that processing module obtains, and send request to system data center, controls result display after obtaining data center's feedback.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 each module for power supply.Display screen 105 is used for the result of operation navigation assistance system to be shown to driver.Mapping module 106 is used for storing map information data, system when the calculating of the assistant that carries out navigating by this map datum of use.Input through keyboard module 107 is keyboard equipments, is used for inputting data, during as inquired about the system for carrying passenger data of locality, is used for input location name etc.Fee register equipment interface 108 is used for connecting this module and taximeter equipment, thus obtains the charge data of each carrying of taxi.
Fixing starting point and terminal is there is not in whole navigation procedure.Starting point is the real time position of vehicle, constantly changes.In the process of navigation, there is no the fixed endpoint in conventional navigation mode yet.This navigational system possible course current to vehicle is analyzed, and may course for each, provides the carrying chance size on this circuit and position respectively, and presents to driver in modes such as chart, numeral, word, voice.
This system, can with reference to the taxi no-load ratio data on this circuit and position when analyzing the carrying chance size of each circuit and position.These no-load ratio data refer to that unloaded taxis quantity accounts for the ratio of whole taxis quantity, are divided into historical data and real time data.Historical data is the historical record by system, taxi no-load ratio average on this circuit drawn and position; Real time data be system obtain this circuit of current time and position on real-time taxi no-load ratio.General, no-load ratio is higher, then show that carrying chance is less.
This system, can with reference to the taxi empty-car quantity on this circuit and position when analyzing the carrying chance size of each circuit and position.This empty-car quantity refers to the unloaded taxi sum on this circuit and position, is divided into historical data and real time data.Historical data is the historical record by system, the taxi empty-car quantity on this circuit drawn and position; Real time data be system obtain this circuit of current time and position on real-time taxi empty-car quantity.General, unloaded car quantity is larger, then show that carrying chance is less.
This system, can with reference to the taxi average overall travel speed data on this circuit and position when analyzing the carrying chance size of each circuit and position.This average running data refers to the operating range of all taxis on this circuit and position and the ratio of running time, is divided into historical data and real time data.Historical data is the historical record by system, taxi average overall travel speed average on this circuit drawn and position; Real time data be system obtain this circuit of current time and position on real-time taxi average overall travel speed.General, average overall travel speed is relevant to the congestion of this road, and in certain speed interval, can think that average overall travel speed is less, then this road more blocks up, and its carrying chance is less.
This system can with reference to the chauffeur number of requests on each circuit and position and frequency.This chauffeur number of requests and frequency refer to the number of times that user is called a taxi by native system and frequency, and the number of times of the retrievable user of native system chauffeur by other means (as local urban taxi chauffeur phone) and frequency.These data are divided into historical data and real time data: historical data refers to the result that system is drawn by the historical data of record; Real time data refers to chauffeur number of times and the frequency of the current time that system obtains.General, chauffeur number of requests less, frequency is lower, then show that carrying chance is less.
This system can with reference to current weather condition.Such as, current weather conditions is rainy, then system there will be rainy day pattern, lists near zone, and which circuit and position have best carrying chance in the rainy day.
This system can the data such as the distance travelled of the driving trace of all taxis, passenger getting on/off data, each carrying in frame of reference and charge, and the self study of completion system, improves constantly the validity of system recommendation result.Such as, this system can carry out performance sequence (the income oil consumption of unit interval income the highest or unit is minimum) to taximan all in system, for the driver that rank is forward, system can be analyzed their drive route track, as a reference value of system carrying Opportunities Analysis, improve the actual validity of system.
This system can provide user to inquire about anywhere in the various data of random time.User is by chosen position point or input location position information, obtain this location point in the no-load ratio of any historical time, empty-car number, average overall travel speed, user's chauffeur quantity and the data such as frequency and weather, also can the current above every data of this location point of Real-time Obtaining, system can also provide following sometime on data prediction analysis.
Embodiment 2: on the basis of embodiment 1, a kind of taxi intelligent operation navigation assistant method, when taxi light condition, system starts intelligent navigation assistant program.According to the vehicle real-time positioning information that GPS module 103 obtains, after processor 101 processes, the cartographic information that theres is provided of module 106 in combination, show the present scope map (map of acquiescence display vehicle-surroundings 5KM scope on a display screen, driver can manual adjustments map denotation scope), indicate current instant position and the travel direction of this vehicle.Wherein, GPS module sent one-time positioning information every 2 seconds to vehicle module and system data center, and to ensure continuity and the reliability of data, this interval time can be adjusted by default.Processor 101 receives above-mentioned locating information and cartographic information, the travel direction that computational prediction vehicle is possible, and this information is transferred to system data center by wireless communication module 102, sends computation requests.After system data receive centre to this request, first the real-time weather conditions (data issued by Network Capture observatory) of inquiry system this vehicle region interior, 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 the system logic process flow diagram shown in Fig. 3, inquire about the current real-time data that relevant historical data within the scope of this request vehicle periphery 5KM 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 calculates, under drawing all possible travel direction of request vehicle, corresponding carrying chance size, is back to the vehicle module processor 101 of request vehicle by this result.Processor 101 receives the result of calculation of data center, by the display of this result on a display screen, as shown in Figure 4: the carrying chance indicating each travel direction by 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 is for raining (snow), then rainy day pattern is entered.In rainy day situation, client place of calling a taxi concentrates on some position of conveniently taking shelter from rain usually, system also carries out special computational analysis by according to this special status, its logical flow chart is as shown in Figure 5: the current real-time data that the relevant historical data within the scope of this request vehicle periphery of system queries 5KM 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 calculates, draw the position that this request vehicle-surroundings carrying chance is maximum, again by calculating the real-time distance of these positions and this request vehicle, comprehensive analysis draws optimum passenger point, this result is back to the vehicle module processor 101 of request vehicle.Processor 101 receives this result of calculation, by the display of this result on a display screen, as shown in Figure 6: three positions of calling a taxi going out periphery optimum by star symbology, and gives tacit consent to first optimal location of show navigator to system-computed.Now driver can advance according to system navigate.If driver thinks that the position that other indicate is more suitable, also select other positions, as destination by input through keyboard.Above system operation is that real-time continuous is carried out, and namely in vehicle travel process, vehicle module periodically sent location and other information every 2 seconds, and system carries out continual analytical calculation, and by display during fructufy on a display screen.
Driver in the process of moving, 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 at any time.Driver only need input place by keyboard input devices, draws the coordinate information of this position through map inquiry, and this positional information is sent to system data center requests result of calculation by processor 101.After data center receives this request, related data (comprising historical data and current real-time data) in inquiry system, and result is returned to processor 101.Processor 101 by the display of this result on a display screen.As shown in Figure 7, display result as shown in Figure 8 for system logic figure.
Embodiment 3: data analysis vehicle module (1) sent when data center, find that high, the unloaded Chefei of periphery no-load ratio is often many, and data display is when by the user number of calling system (as taxi call system), in system data, accounting is very high, now system can transfer to and bestly waits objective dot pattern.By no-load ratio, unloaded car quantity and by the data value such as system chauffeur number of users ratio in systems in which, a boundary value can be set, such as no-load ratio more than 70%, in empty wagons quantity 1 hour more than 50, by system chauffeur quantitative proportion more than 80%, start when meeting above condition and bestly wait objective dot pattern.Certainly, this condition can be undertaken continuing to optimize, adjusting by system cumulative data.
Under the best waits objective dot pattern, the data that the vehicle module (1) of the acquisition according to data center sends by system, comprehensive analysis periphery chauffeur frequency is the highest, traffic is best, parking stall quantity etc., draw best time place far way from home point, ensure that driver can arrive in the place of the most normal chauffeur within the fastest time.Result is back to processor 101 by data center, and by the display of this result on a display screen, identify three objective points of best time with triangle icon, instruction driver waits place far way from home point stop-for-waiting at these to processor 101.System display result as shown in Figure 9.
Needs indicate, and the foregoing is only the preferred embodiments of the present invention, are not limited to the present invention, and for a person skilled in the art, the present invention can have various change and change.Such as keyboard input devices 107 and display device 105 can use existing touch display screen to replace, thus omit keyboard input devices.But within all the spirit and principles in the present invention, any amendment done, equivalent replacing improve, and all should be included within right of the present invention.
It is to be understood that: although above-described embodiment to be contrasted detailed text description to mentality of designing of the present invention; but these text descriptions; just the simple text of mentality of designing of the present invention is described; instead of the restriction to mentality of designing of the present invention; any do not exceed mentality of designing of the present invention combination, increase or amendment, all fall within the scope of protection of the present invention.
Claims (5)
1. a taxi intelligent operation navigation assistant method, it is characterized in that: when taxi light condition, system starts intelligent navigation assistant program, according to the vehicle real-time positioning information that GPS module (103) obtains, after processor (101) process, the cartographic information that theres is provided of module (106) in combination, show current instant position and the travel direction that this vehicle indicated by present scope map on a display screen, wherein, GPS module sent one-time positioning information every 2 seconds to vehicle module and system data center, to ensure continuity and the reliability of data, interval time can be adjusted by default, processor (101) receives above-mentioned locating information and cartographic information, the travel direction that computational prediction vehicle is possible, and this information is transferred to system data center by wireless communication module (102), send computation requests, after system data receive centre to this request, the real-time weather data of this vehicle region issued by Network Capture observatory, normal mode and sleet day mode can be divided into: (1) is not if current weather is sleet sky according to weather conditions, then enter normal mode, inquire about the current real-time data that relevant historical data within the scope of this request vehicle periphery 5KM and other vehicles send, comprise road no-load ratio, unloaded car quantity, average overall travel speed, neighboring area user's chauffeur quantity and frequency, after weighted analysis calculates, under drawing all possible travel direction of request vehicle, corresponding carrying chance size, result is back to the vehicle module processor (101) of request vehicle, processor (101) receives the result of calculation of data center, by result display on a display screen, and the carrying chance of each travel direction is indicated by color, green this travel direction carrying chance of expression is very large, yellow expression is general, red expression chance is very little, (2) if current weather is sleet sky, then enter sleet day mode, in sleet sky situation, client place of calling a taxi concentrates on some position of conveniently taking shelter from rain usually, system will be also the computational analysis that sleet situation carries out for sleet day mode according to weather, the current real-time data that relevant historical data within the scope of this request vehicle periphery of system queries 5KM and other vehicles send, comprise road no-load ratio, unloaded car quantity, average overall travel speed, neighboring area user's chauffeur quantity and frequency, after weighted analysis calculates, draw the position that this request vehicle-surroundings carrying chance is maximum, again by calculating the real-time distance of these positions and this request vehicle, comprehensive analysis draws optimum passenger point, result is back to the vehicle module processor (101) of request vehicle, processor (101) receives this result of calculation, by result display on a display screen, three positions of calling a taxi of periphery optimum are gone out by star symbology, and give tacit consent to first optimal location of show navigator to system-computed, now driver can advance according to system navigate, if driver thinks that the position that other indicate is more suitable, other positions are selected by input through keyboard, as destination.
2. taxi intelligent operation navigation assistant method according to claim 1, it is characterized in that: in vehicle travel process, vehicle module periodically sent location and other information every 2 seconds, and system carries out continual analytical calculation, and by display during fructufy on a display screen.
3. taxi intelligent operation navigation assistant method according to claim 1, it is characterized in that: data analysis vehicle module (1) sent when data center, find that periphery no-load ratio is high, unloaded Chefei is often many, and data display is when by the user number of calling system, in system data, accounting is very high, now system can transfer the objective dot pattern of best time to, data center is according to the data analysis sent vehicle module (1), calculate periphery chauffeur frequency the highest, traffic is best, parking stall quantity, draw best time place far way from home point, driver waits place far way from home point stop-for-waiting at these, once there be user's chauffeur request, data center sends to vehicle module (1) at once, and display on a display screen, driver rushes for chauffeur place after accepting this request at once, both improve efficiency, effectively reduce again empty wagons mileage and fuel consume, also allow driver more easy and convenient simultaneously.
4. taxi intelligent operation navigation assistant method according to claim 1, it is characterized in that: system is at least by the vehicle module (1) being 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) are formed, GPS module in vehicle module (1) obtains the locating information of vehicle arrangement by gps satellite group, and be sent to system data center, by mobile communication platform communication between system data center and vehicle module, the data of record are passed to system data center by vehicle module, system data center is then responsible for storing data, and carry out correlation computations according to the request of vehicle module, result of calculation then returns to vehicle module by mobile communication platform.
5. the taxi intelligent operation navigation assistant method according to claim 1 or 4, is characterized in that: described vehicle module (1) comprises processor (101), wireless communication module (102), GPS module (103), power circuit (104), display screen (105), mapping module (106), input through keyboard 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) receives from GPS module (103), mapping module (106), input through keyboard module (107) and fee register equipment interface (108) data message, and processor (101) signal output part connects display screen (105) signal input part.
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| 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 |
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|---|---|---|---|---|
| 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 |
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| WO2014012508A1 (en) | 2014-01-23 |
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