CN106677569A - Optimal parking space selection system based on physiological characteristics of driver and GPS - Google Patents
Optimal parking space selection system based on physiological characteristics of driver and GPS Download PDFInfo
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- CN106677569A CN106677569A CN201710067643.1A CN201710067643A CN106677569A CN 106677569 A CN106677569 A CN 106677569A CN 201710067643 A CN201710067643 A CN 201710067643A CN 106677569 A CN106677569 A CN 106677569A
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- E—FIXED CONSTRUCTIONS
- E04—BUILDING
- E04H—BUILDINGS OR LIKE STRUCTURES FOR PARTICULAR PURPOSES; SWIMMING OR SPLASH BATHS OR POOLS; MASTS; FENCING; TENTS OR CANOPIES, IN GENERAL
- E04H6/00—Buildings for parking cars, rolling-stock, aircraft, vessels or like vehicles, e.g. garages
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/42—Determining position
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- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Civil Engineering (AREA)
- Structural Engineering (AREA)
- Computer Networks & Wireless Communication (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Traffic Control Systems (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
- Steering Control In Accordance With Driving Conditions (AREA)
Abstract
The invention discloses an optimal parking space selection system based on physiological characteristics of a driver and a GPS. The optimal parking space selection system comprises a main control module, a GPS module, a storage module, an information processing module, an electrocardiograph detection module, an electromyogrphy detection module and an eye movement detection module, wherein the electrocardiograph detection module, the electromyogrphy detection module and the eye movement detection module are used for being attached to the corresponding parts of the body of the driver. The signal output ends of the electrocardiograph detection module, the electromyogrphy detection module, the eye movement detection module and the GPS module are connected with the signal input end of the main control module. The main control module, the storage module and the information processing module are connected in two directions. The signal output end of the main control module is connected with a communication module. In consideration of the angle of the parking load of the driver, the heart rate, muscle strength, staring time and pause adjustment times of the driver in the process of parking serve as parameters, and the parking loads of different parking spaces is obtained in combination with the parking space size, so that a parking space with a reasonable size can be designed, and through the parking space, the driver can park safely, quickly and easily.
Description
Technical field
It is the present invention relates to Urban Traffic Planning field more particularly to a kind of based on driver's physiological property and the optimum of GPS
Parking stall selecting system.
Background technology
With the quickening of China's modernization, national automobile pollution more and more higher, trip of driving becomes more and more
The main trip mode of people.The growth of automobile quantity not only brings unprecedented impact to urban parking area, and to driving
People is stopped and brings a certain degree of test, therefore parking problem seems more prominent.The planning on parking stall is unreasonable, causes to drive
Sail people and stop difficult, affect parking efficiency, cause the scraping of vehicle, or even the accident for having caused casualties.
Under practical situation, for some parking stalls, driver can relative ease stop into, but such parking stall is past
Toward size than larger, or passage is wider so that retain enough spacing in docking process between vehicle and parking stall sideline, this
Sample reduces land utilization ratio, has increased building cost.For some parking stalls, undersized or passage is narrow, parking difficulty
Degree is relatively large, affects unobstructed situation in parking efficiency and parking lot, or even accident occurs.
Therefore needing a kind of method can allow driver easily, efficiently and safely to be stopped to design, and save soil as far as possible
The parking stall size of ground area and channel width.The parking potential energy of the size allows driver to reduce the time in docking process,
Gasoline discharge capacity is reduced, ensures that parking lot or peripheral channel are unobstructed, it is ensured that the economy profit of parking lot operator and driver
Benefit, promotes social economy's orderly development, is conducive to the structure of harmonious society.
The content of the invention
In order to solve the above problems, patent of the present invention is stopped there is provided a kind of optimum based on driver's physiological property and GPS
Parking stall selecting system, by a number of driver multigroup train experiment is carried out, by associating myoelectricity and muscular tone degree, the heart
Electricity and driver's intense strain, the dynamic state of the eye such as pupil size, fixation time and driver's workload, are absorbed in degree, GPS and
Relation between parking efficiency, obtains multinomial data processing parking stall size and channel width and driver works negative when stopping
Relation between lotus, parking efficiency, in conjunction with land seizure area, chooses optimum parking stall form, size, channel width.
The technical scheme that patent of the present invention is adopted is:
It is a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, it is characterised in that:Include master control
Module, GPS module, memory module, message processing module and the ECG detecting mould for being attached to driving person corresponding site
Block, checking with EMG method module, eye move detection module, and the ECG detecting module, checking with EMG method module, eye move detection module, GPS moulds
The signal output part of block connects the signal input part of main control module, main control module and memory module, the two-way company of message processing module
Connect, the signal output part connecting communication module of main control module.
It is described a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, it is characterised in that:It is described
ECG detecting module represents driver's mental tension when heart rate is fast, from side for detecting the real-time heart rate situation of driver
Reflection parking stall is big to the workload of driver;Conversely, when driver's heart rate is steady, illustrating parking relative ease, parking stall
Humanization designing.
It is described a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, it is characterised in that:It is described
Checking with EMG method module is used to detect the real-time muscle strengh of driver, in a docking process, if driver's muscle strengh is long
Between it is higher, illustrate that driver is firmly larger, stop difficult;If conversely, driver's muscle strengh is low and relatively gentle, illustrating to stop
Easily, parking stall humanization designing.
It is described a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, it is characterised in that:It is described
The dynamic detection module of eye is used to detect pupil size, fixation time length of the driver in docking process that pupil to be relative to initial
When to become big, fixation time long, then illustrate driver attention high-pressure, easily cause fatigue;Conversely, then explanation parking is held
Easily, parking stall humanization designing.
It is described a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, it is characterised in that:It is described
GPS module is divided into rover station and base station, and in automobile, GPS module base station is located at the area within automobile 50m to GPS module rover station
Domain, GPS module rover station and base station pass through bluetooth connection.
It is described a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, it is characterised in that:It is described
GPS module is used to detect driver vehicle location, speed, acceleration, corner, pause number information in docking process, if vapour
Car pause number of times in docking process is excessive, then explanation stops more difficult, needs multiple translation-angle just can stop into;Conversely,
Corner is significantly converted, pause number of times is less, then stopping is easier to, parking stall humanization designing.
It is described a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, it is characterised in that:It is described
Memory module is used to store the driving number of the dynamic detection module detection of ECG detecting module, checking with EMG method module, GPS module, eye
According to.
It is described a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, it is characterised in that:It is described
Message processing module is stored in storage for processing the dynamic detection module of ECG detecting module, checking with EMG method module, GPS module, eye
Data in module, and with reference to parking stall occupied area size, message processing module processes stopping for driver of being stopped every time
Car loadWith the parking resistance λ on parking stall, so as to judge the resonable degree on parking stall.
The present invention considers from driver's parking load angle, with the heart rate in driver's docking process, muscle strengh, watches attentively
Time, the adjustment number of times that pauses are parameter, and with reference to parking stall size the parking load on different parking stalls is obtained, and are contrasted multiple different
Parking stall obtains parking stall size, form, the channel width for making driver's parking load minimum.
The invention has the beneficial effects as follows:
The present invention can be dynamic using the electrocardio, myoelectricity, eye that detect in driver's docking process and gps data draws difference
The parking load size that size, the different parking stall forms of different channel widths are produced to driver, in certain areal extent
The little parking stall of load is selected as the form of planning so that driver's parking difficulty in docking process is little, parking efficiency high,
It is little to the traffic impact around parking stall, it is not easy to cause obstruction and accident, greatly improve all transfer efficients of parking and and society Jing
Ji benefit, is conducive to social harmonious development.
Description of the drawings
Fig. 1 is the system principle schematic diagram of the present invention.
Fig. 2 is run-in index parking stall parking schematic diagram.
Fig. 3 is rectilinear parking stall parking schematic diagram.
Fig. 4 is diagonal parking position parking schematic diagram.
Specific embodiment
Embodiment of the present invention is described in detail with reference to the accompanying drawing of the present invention.Described embodiment is not
It is all embodiments.Based on the present invention, embodiment of the those of ordinary skill in the art in the case where creative construction is not made all belongs to
In the scope of protection of the invention.
As shown in figure 1, it is a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, include master control
Module 7, GPS module 3, memory module 5, message processing module 6 and the electrocardio inspection for being attached to driving person corresponding site
The dynamic detection module 4 of module 1, checking with EMG method module 2, eye is surveyed, ECG detecting module 1, checking with EMG method module 2, eye move detection module
4th, the signal output part of GPS module 3 connects the signal input part of main control module 7, main control module 7 and memory module 5, information processing
Module 6 is bi-directionally connected, the signal output part connecting communication module 8 of main control module 7.
The evaluation methodology of parking stall resonable degree and principle:
Driver can produce different degrees of parking difficulty in docking process because of parking stall size and channel width, right
Different physiology, psychological characteristic can be shown in different parking difficulty drivers, and causes different driving behaviors, the row
The acceleration and deceleration of vehicle, corner, speed, pause etc. in show docking process.These physiological psychological qualities and parking behavior collection
In embody driver carrying out this time stop when the load of machinery systems.What parking load can be surveyed from following module:Electrocardio
Detection module 1, checking with EMG method module 2, GPS module 3, eye moves detection module 4.ECG detecting module 1 obtains driver and stopped
Changes in heart rate situation in journey, i.e., relative to calmness in the case of, driver's increased heart rate caused by highly difficult parking behavior
Degree.Checking with EMG method module 2 obtains the muscle strengh situation of change in driver's docking process, and the muscle strengh of high level continues
Time length then illustrates that parking difficulty is big.GPS module 3 obtains the positional information of vehicle, wherein with the adjustment number of times that pauses as accordingly finger
Mark, adjustment number of times is more, illustrates that parking difficulty is big.When watching attentively of eyes when the dynamic detection module 4 of eye can detect that driver is stopped
Between and pupil size, wherein using fixation time as the dynamic index of eye, the longer explanation driver of fixation time needs higher concentration
Attention, stops more difficult.
Load is specifically obtained and computational methods are as follows:
ECG detecting module 1, measures tranquil heart rate HR before driver is stopped1, driven by ECG detecting module 1
The real-time heart rate HR in people's docking process is sailed, HR-t images, image and y=HR is drawn1The areal calculation formula for being surrounded is:
This parking average heart rate computing formula:
Change rate of heartbeat computing formula:
Checking with EMG method module 2, muscle strengh is 0 under driver's relaxation state, when muscle strengh is more than X, then it is assumed that driven
People's muscle is in tension.Remember that lasting cumulative time of driver's muscle strengh more than X is t in whole docking process1, stop
During muscular tone percentage of time computing formula:
3 points of GPS module is rover station and base station, and in automobile, GPS module base station is located at automobile 50m to GPS module rover station
Within region, GPS module rover station and base station pass through bluetooth connection;GPS module 3, for detecting driver in docking process
The information such as middle vehicle location, speed, acceleration, corner, pause number of times, when parking difficulty is big, the number of times that vehicle is adjusted back and forth
Increase, remember that this time stops adjustment number of times for n.
The dynamic detection module 4 of eye, for detecting pupil size, fixation time length of the driver in docking process, wherein
Attention concentration degree in fixation time major embodiment driver's docking process, attention time of concentration is longer, represents that parking is got over
It is difficult.Note fixation time percentage ratio computing formula:
ECG detecting module 1, checking with EMG method module 2, GPS module 3, the dynamic detection module 4 of eye by the driver for detecting and
The real-time parking data of vehicle is stored into memory module 5, and message processing module 6 is used to process ECG detecting module, checking with EMG method
The dynamic detection module storage of module, GPS module, eye data in a storage module, message processing module 6 is calculated it, point
Change rate of heartbeat α, muscular tone percentage of time β are not obtained, frequency n, fixation time percentage ratio γ is adjusted.Message processing module
6 are calculated the parking stall parking carry calculation formula:
A, b, c, d, e are coefficient, and other symbolic significances are the same.
If considering the impact of parking stall and walkway occupied area, parking stall and parking stall dead ahead walkway region area
S=(a+c) * b, parking stall parking resistance
Adjustment parking stall size and walkway width are repeatedly tested, the group of each parking stall size and walkway width
Conjunction can obtain corresponding parking loadWith parking resistance λ.Resistance λ is less for parking, illustrates that driver's parking load is little, and should
Parking stall area is relatively small.
The ECG detecting module is used to detect the real-time heart rate situation of driver, represents when heart rate is fast and drive human psychological
Anxiety is big to the workload of driver from side reflection parking stall;Conversely, when driver's heart rate is steady, illustrating to stop relative
Easily, parking stall humanization designing.
The checking with EMG method module is used to detect the real-time muscle strengh of driver, in a docking process, if driver
Muscle strengh long-time is higher, illustrates that driver is firmly larger, stops difficult;If conversely, driver's muscle strengh is low and relative
Gently, illustrate to stop light, parking stall humanization designing.
GPS module is used to detect driver vehicle location, speed, acceleration, corner, pause number of times etc. in docking process
Information, if automobile pause number of times in docking process is excessive, illustrate to stop more difficult, the multiple translation-angle of needs just can stop into
Go;Conversely, corner significantly convert, pause number of times it is less, then stop be easier to, parking stall humanization designing.
The dynamic detection module of eye is used to detect pupil size, fixation time length of the driver in docking process, pupil phase
For it is initial when to become big, fixation time long, then illustrate driver attention high-pressure, easily cause fatigue;Conversely, then saying
It is bright to stop easy, parking stall humanization designing.
Memory module is used to store the dynamic detection module detection of ECG detecting module, checking with EMG method module, GPS module, eye
Drive personal data.
Message processing module is deposited for processing the dynamic detection module of ECG detecting module, checking with EMG method module, GPS module, eye
Storage data in a storage module, and with reference to parking stall occupied area size, message processing module process obtains stopping every time and drives
Sail the parking load of peopleWith the parking resistance λ on parking stall, so as to judge the resonable degree on parking stall.
The specific workflow of the system is as follows:
A1. the data acquisition end of the dynamic detection module of ECG detecting module, checking with EMG method module and eye is attached to into participation experiment
The corresponding site of driver, connects rover station and the base station of GPS module;
A2. complete ECG detecting module, checking with EMG method modular debugging, the dynamic detection module calibration of eye, the connection of GPS module and
Debugging;
A3. by storing cycle in front of the side of parking stall, vehicle body is parallel with passage sideline;
A4. vehicle hangs R gears, prepares reversing warehouse-in, each item data start recording;
A5. without departing from parking stall scope, edge line is not pressed onto, vehicle is parked in central being considered as in parking stall and completes to stop
Car.
A6. by car open back test before original position, adjustment parking bit length, passage sideline distance (i.e. channel width) and
Parking stall form, repeats to stop.
In the described embodiment, the parking bit width a of each size, parking bit width b, walkway width c can be various
In the case of adjust, wherein parking bit width a, parking bit width b are not less than vehicle width, and width c in walkway is long not less than vehicle
Degree, concrete size can be designed according to actual requirement of engineering.
A kind of parking stall design system based on driver's physiological property is described in detail above, using above-mentioned system
System is obtained heart rate, muscle strengh, pause adjustment number of times, fixation time situation, parking plane of the driver in docking process
Product, by processing these information, obtains the parking resistance on the parking load size and parking stall caused to driver on the parking stall,
So as to judge parking stall design rationality.Above example is one kind of the practical application of the present invention, is used to help understand this
The principle of invention, is not construed as the restriction used the present invention.
Claims (8)
1. a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, it is characterised in that:Include master control mould
Block, GPS module, memory module, message processing module and for be attached to drive person corresponding site ECG detecting module,
Checking with EMG method module, eye move detection module, and the ECG detecting module, checking with EMG method module, eye move detection module, GPS module
Signal output part connect the signal input part of main control module, main control module is bi-directionally connected with memory module, message processing module,
The signal output part connecting communication module of main control module.
2. according to claim 1 a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, it is special
Levy and be:The ECG detecting module is used to detect the real-time heart rate situation of driver, represents when heart rate is fast and drive human psychological
Anxiety is big to the workload of driver from side reflection parking stall;Conversely, when driver's heart rate is steady, illustrating to stop relative
Easily, parking stall humanization designing.
3. according to claim 1 a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, it is special
Levy and be:The checking with EMG method module is used to detect the real-time muscle strengh of driver, in a docking process, if driver's flesh
Meat dynamics long-time is higher, illustrates that driver is firmly larger, stops difficult;If conversely, driver's muscle strengh is low and relatively flat
It is slow, illustrate to stop light, parking stall humanization designing.
4. according to claim 1 a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, it is special
Levy and be:The dynamic detection module of the eye is used to detect pupil size, fixation time length of the driver in docking process, pupil
Relative to it is initial when to become big, fixation time long, then illustrate driver attention high-pressure, easily cause fatigue;Conversely, then
Illustrate to stop easy, parking stall humanization designing.
5. according to claim 1 a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, it is special
Levy and be:The GPS module is divided into rover station and base station, and in automobile, GPS module base station is located at automobile to GPS module rover station
Region within 50m, GPS module rover station and base station pass through bluetooth connection.
6. according to claim 5 a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, it is special
Levy and be:The GPS module is used to detect driver vehicle location, speed, acceleration, corner, pause time in docking process
Number information, if automobile pause number of times in docking process is excessive, illustrates to stop more difficult, needs multiple translation-angle just can stop
Enter;Conversely, corner significantly convert, pause number of times it is less, then stop be easier to, parking stall humanization designing.
7. according to claim 1 a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, it is special
Levy and be:The memory module is used to store the dynamic detection module detection of ECG detecting module, checking with EMG method module, GPS module, eye
Driving personal data.
8. according to claim 7 a kind of based on driver's physiological property and the optimum parking stall selecting system of GPS, it is special
Levy and be:Described information processing module is used to process the dynamic detection module of ECG detecting module, checking with EMG method module, GPS module, eye
Storage data in a storage module, and with reference to parking stall occupied area size, message processing module process is stopped every time
The parking load of driverWith the parking resistance λ on parking stall, so as to judge the resonable degree on parking stall.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107862893A (en) * | 2017-10-31 | 2018-03-30 | 西安科锐盛创新科技有限公司 | Intelligent stereo parking space |
CN113257074A (en) * | 2021-05-31 | 2021-08-13 | 重庆工程职业技术学院 | Intelligent driving training system based on driver operation behavior perception |
DE102022002243A1 (en) | 2022-06-21 | 2023-07-27 | Mercedes-Benz Group AG | Method for assisted search for a parking space for a vehicle |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1394773A (en) * | 2001-06-29 | 2003-02-05 | 株式会社丰田自动织机 | Parking auxiliary device |
CN1878688A (en) * | 2003-11-06 | 2006-12-13 | 罗伯特·博世有限公司 | Method for the determination of a parking space |
CN101690666A (en) * | 2009-10-13 | 2010-04-07 | 北京工业大学 | Driving working load calculation method of automobile driver |
CN202996054U (en) * | 2013-01-03 | 2013-06-12 | 梁晓军 | Parking lot preferring device in parking space |
CN202995970U (en) * | 2012-11-16 | 2013-06-12 | 西安众智惠泽光电科技有限公司 | Automobile fatigue driving real-time prompting system |
CN105243789A (en) * | 2015-08-31 | 2016-01-13 | 江苏智海电子技术有限公司 | Fatigue driving detection method of fusing electrocardiosignal and steering wheel holding pressure |
CN206513076U (en) * | 2017-02-07 | 2017-09-22 | 合肥工业大学 | A kind of optimal parking stall selecting system based on driver's physiological property and GPS |
-
2017
- 2017-02-07 CN CN201710067643.1A patent/CN106677569B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1394773A (en) * | 2001-06-29 | 2003-02-05 | 株式会社丰田自动织机 | Parking auxiliary device |
CN1878688A (en) * | 2003-11-06 | 2006-12-13 | 罗伯特·博世有限公司 | Method for the determination of a parking space |
CN101690666A (en) * | 2009-10-13 | 2010-04-07 | 北京工业大学 | Driving working load calculation method of automobile driver |
CN202995970U (en) * | 2012-11-16 | 2013-06-12 | 西安众智惠泽光电科技有限公司 | Automobile fatigue driving real-time prompting system |
CN202996054U (en) * | 2013-01-03 | 2013-06-12 | 梁晓军 | Parking lot preferring device in parking space |
CN105243789A (en) * | 2015-08-31 | 2016-01-13 | 江苏智海电子技术有限公司 | Fatigue driving detection method of fusing electrocardiosignal and steering wheel holding pressure |
CN206513076U (en) * | 2017-02-07 | 2017-09-22 | 合肥工业大学 | A kind of optimal parking stall selecting system based on driver's physiological property and GPS |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107862893A (en) * | 2017-10-31 | 2018-03-30 | 西安科锐盛创新科技有限公司 | Intelligent stereo parking space |
CN113257074A (en) * | 2021-05-31 | 2021-08-13 | 重庆工程职业技术学院 | Intelligent driving training system based on driver operation behavior perception |
DE102022002243A1 (en) | 2022-06-21 | 2023-07-27 | Mercedes-Benz Group AG | Method for assisted search for a parking space for a vehicle |
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