CN104318792B - A kind of parking, driving ductor evaluation method based on effective information - Google Patents

Abstract

The present invention relates to a kind of parking, driving ductor evaluation method based on effective information, comprise the following steps: 1) obtain the parking guidance destination on parking, driving ductor and drive a vehicle and induce quantity and the position of destination; 2) induce the feasible path set R between the j of destination according to position i and each of the quantity of the parking guidance destination obtaining and driving induction destination and the current parking of position acquisition, driving ductor_ij; 3) according to feasible path set R_ijCalculate the effective information that stops, drives a vehicle ductor; 4) according to the effective information evaluation parking calculating, driving ductor. Compared with prior art, the present invention has wide, the comprehensive height of versatility, the advantage such as with strong points.

Description

A kind of parking, driving ductor evaluation method based on effective information

Technical field

The present invention relates to intelligent transportation system field, especially relate to a kind of parking based on effective information, OKCar ductor evaluation method.

Background technology

Development intelligent transportation system (ITS) is the Main Means of each big city transport solution problem. And advanced intelligenceCan traffic information system be the guarantee of ITS. Traffic information system by provide for driver real-time traffic administration withInduction information, reaches the reasonable layout of urban transportation, alleviates traffic pressure. Variable information plate (VMS, VariableMassagesign) as the important component part of traffic information system, its function is by text, image, numberThe composite signals such as word provide road geometry information, road surface traffic information, and section traffic information and the public serve letterThe various information such as breath, are beneficial to driver and adjust its driving behavior, reach and alleviate traffic jam, minimizing traffic accidentImprove the object of the road network traffic capacity. As the main Types of variable information plate, stop, driven a vehicle ductor at presentIn China one line city, for example Beijing and Shanghai, obtain applying more and more widely. Meanwhile, novel as oneVariable information plate, the integrated ductor that stops, drives a vehicle also starts to be applied gradually. Fig. 1 is Yangpu, Shanghai CityDistrict's Wujiao Court stops, the integrated ductor of driving a vehicle, and this variable information plate shows the fortune in section with red, yellow, and greenRow state, for driver provides driving induction; Show the vacant parking stall quantity in each parking lot with digital form, for drivingThe person of sailing provides parking guidance.

At present, in the design process of ductor, the realistic problem generally facing is: ductor limitedArea domestic demand provides many transport information (comprising parking information and running information) for driver as much as possible, and mistakeBe unfavorable for again driving in complicated ductor and understand completely, rapidly the content distributed of the space of a whole page, thereby increase driverRecognize time, cause potential safety hazard; Or cause driver directly to abandon identification, thereby make Government Expenditure a large amount ofThe ductor that fund is built is ineffective. Along with China's urban road parking, driving ductor and the driving one of stoppingBeing on the increase of body ductor application, scientific and reasonable parking, driving ductor information computing method, forEvaluate the operational efficiency of the Urban Traf-fic Guidance System and improve the aspect such as design of system for traffic guiding, have importantTheory value and practical significance. But, in existing variable information plate design and analysis method, exist two large mainDefect:

1, the evaluation method of current variable information plate both domestic and external, when the main degree of following from driver, reactionBetween and space of a whole page correct understanding three aspects: carry out. But above evaluation method mostly by drive simulation test, questionnaireThe means such as investigation or emulation are evaluated concrete ductor design. But the shortcoming of these evaluation methods alsoClearly, the one, cost higher, the different aspect of evaluating for variable information plate, all needs to carry out independently realTest and investigate. The 2nd, lack the generally computational methods of (versatility) property, each evaluation method is all subject to experimental situationWith the impact of factor, the index therefore obtaining lacks versatility, can only be analyzed qualitatively, and lack quantitativeResult.

The design of 2, current parking, the integrated ductor of driving a vehicle lacks national standard. GB5768-2009 " roadRoad traffic sign and graticule " formal enforcement in 1 day July in 2009, this national standard is to all roads road signShape, size, graphical symbol, material, the structure of will, arrange etc. all made detailed regulation, but for canThe design that becomes information board does not but describe. For above problem, each province, city be only taking provincial standard as main, as" parking guidance system " standard criterion that issue in Shanghai City 2004, Beijing within 2009, issue " parking luresGuiding systems technical requirement ", " the intelligent parking guide system technology and specification is set " that Sichuan Province 2009 issues,And Guangzhou province 2013 issue " parking guidance system technical specification " etc. But these region specifications alsoJust carry out design from font, color, layout's equal angles, lack parking, the integrated ductor of driving a vehicleThe detail specification of design, and then make to lack variable information plate and provide the computational methods of information content for driver, therebyCannot evaluate the validity of variable information plate.

Summary of the invention

Object of the present invention be exactly provide in order to overcome the defect that above-mentioned prior art exists a kind of versatility wide, combineThe parking based on effective information, driving ductor evaluation method that closing property is high, with strong points.

Object of the present invention can be achieved through the following technical solutions:

Parking based on effective information, a driving ductor evaluation method, comprise the following steps:

1) obtain the parking guidance destination on parking, driving ductor and drive a vehicle and induce quantity and the position of destinationPut;

2) according to the quantity of the parking guidance destination obtaining and driving induction destination and the current parking of position acquisition,Feasible path set R between the position i of driving ductor and each induction destination j_ij；

3) according to feasible path set R_ijCalculate the effective information that stops, drives a vehicle ductor;

4) according to the effective information evaluation parking calculating, driving ductor.

2. a kind of parking, driving ductor evaluation method based on effective information according to claim 1,It is characterized in that, described parking guidance destination is the parking area that express on independent vacant parking stall, driving inductionDestination is related traffic attraction in ductor service range.

Described step 3) specifically comprise the following steps:

31) calculate the selecting paths r of driver before obtaining parking, driving ductor information_ijProbabilityIn the time that destination is induced for driving in induction destination,Calculating formula be:

$P\left(X_{ij}^{0r}\right)=\frac{N\left(X_{ij}^{0r}\right)}{N}$

Wherein,For selecting paths r_ijDriver's number, N is total driver's number,

In the time that induction destination is parking guidance destination,Calculating formula be:

$P\left(X_{ij}^{0r}\right)=\frac{\exp (-{\mathrm{\θU}}_{ijr}^0)}{\underset{1}{\overset{r}{\Σ}}\exp (-{\mathrm{\θU}}_{ijr}^0)}$

Wherein,For the utility function of parking lot r before driver obtains parking, driving ductor information,θ is scale parameter;

32) calculate the selecting paths r of driver after obtaining parking, driving ductor information_ijProbabilityIn the time that destination is induced for driving in induction destination,Calculating formula be:

$P\left(X_{ij}^{1r}\right)=\frac{N\left(X_{ij}^{1r}\right)}{N}$

Wherein,For seeing after parking, driving ductor, selecting paths r_ijDriver's number, N is totalDriver's number,

In the time that induction destination is parking guidance destination,Calculating formula be:

$P\left(X_{ij}^{1r}\right)=\frac{l^{rj}\exp (-{\mathrm{\θU}}_{ijr}^1)}{\underset{1}{\overset{r}{\Σ}}\exp (-{\mathrm{\θU}}_{ijr}^1)}$

Wherein,For the utility function of parking lot r after driver obtains parking, driving ductor information, l^rfFor the virtual value in parking lot, θ is scale parameter;

33) calculate the effective information AOI that stops, drives a vehicle ductor_ij，AOI_ijCalculating formula be:

${\mathrm{AOI}}_{ij}=\underset{r_{ij}}{\mathrm{\Σ}}P\left(X_{ij}^{0r}\right){\log }_2\left(X_{ij}^{0r}\right)-\underset{r_{ij}}{\Σ}P\left(X_{ij}^{1r}\right){\log }_2\left(X_{ij}^{1r}\right),(r_{ij}\∈R_{ij});$

Described step 4) specifically comprise the following steps:

41) according to stop, driving ductor effective information calculate stop, driving ductor depending on recognizing time Y,Depending on the calculating formula of recognizing time Y be:

Y＝β₀+β₁*log(times)+r

β₀＝r₀₀+r₀₁*(AOI_ij)+u₀

β₁＝r₁₀+r₁₁*(AOI_ij)

Wherein, r and u₀For random perturbation, β₀And β₁For watching parking, driving induction depending on recognizing time Y and driverIntercept and the slope of plate number of times linear fit, r₀₀、r₀₁、r₁₀、r₁₁For β₀And β₁The fixed effect factor, timesFor driver depending on recognizing number of times;

42) evaluate according to effective information with depending on recognizing time Y the ductor that stops, drives a vehicle, specifically comprise with belowFace:

Judge the variable information plate in parking, the layout of driving ductor according to the concrete numerical value of effective informationWhether there is information overload, in order to optimize the information content of variable information plate carrying;

According to judging that depending on recognizing time Y whether the installation position of parking, driving ductor is reasonable, avoid depending on after recognizingCannot make correct response, in order to optimize the installation position that stops, drives a vehicle ductor.

Compared with prior art, the present invention has the following advantages:

One, versatility is wide, and this method can be carried out assay to dissimilar parking, driving ductor,To unified quantitative analysis result.

Two, comprehensive height, the information computing method that this method provides, not only can analyze variable information plate forDriver's behavioral implications, can also with traditional evaluation index---link up with depending on the time of recognizing, thus to variable letterBreath plate carries out overall merit.

Three, with strong points, acquired information amount will after the variable information plate of seeing to have different driving object driversDifference to some extent, the information computing method that the present invention proposes just can be distinguished these gaps.

Brief description of the drawings

Fig. 1 is that Yangpu district of Shanghai Wujiao Court stops, the integrated ductor of driving a vehicle.

Fig. 2 is that Yangpu district of Shanghai Wujiao Court stops, the integrated induction panel of driving a vehicle,

Wherein, figure (2a) is traditional parking guidance plate panel schematic diagram, and figure (2b) lures for stopping, driving a vehicleGuide plate panel schematic diagram, figure (2c) is the traditional parking guidance plate panel schematic diagram of below with word, figure (2d)For used parking, driving ductor panel schematic diagram.

Fig. 3 is the information content of ductor and the graph of a relation depending on the time of recognizing and test number (TN).

Fig. 4 is method flow diagram of the present invention.

Detailed description of the invention

Below in conjunction with the drawings and specific embodiments, the present invention is described in detail.

Embodiment:

As shown in Figure 4, a kind of parking, driving ductor evaluation method based on effective information, comprises following stepRapid:

1) obtain the parking guidance destination on parking, driving ductor and drive a vehicle and induce quantity and the position of destinationPut;

2) according to the quantity of the parking guidance destination obtaining and driving induction destination and the current parking of position acquisition,Feasible path set R between the position i of driving ductor and each induction destination j_ij；

3) according to feasible path set R_ijCalculate the effective information that stops, drives a vehicle ductor;

4) according to the effective information evaluation parking calculating, driving ductor.

Parking guidance destination is the parking area that express on independent vacant parking stall, and driving induction destination is ductorRelated traffic attraction in service range.

Step 3) specifically comprise the following steps:

31) calculate the selecting paths r of driver before obtaining parking, driving ductor information_ijProbabilityIn the time that destination is induced for driving in induction destination,Calculating formula be:

$P\left(X_{ij}^{0r}\right)=\frac{N\left(X_{ij}^{0r}\right)}{N}$

Wherein,For selecting paths r_ijDriver's number, N is total driver's number,

In the time that induction destination is parking guidance destination,Calculating formula be:

$P\left(X_{ij}^{0r}\right)=\frac{\exp (-{\mathrm{\θU}}_{ijr}^0)}{\underset{1}{\overset{r}{\Σ}}\exp (-{\mathrm{\θU}}_{ijr}^0)}$

Wherein,For the utility function of parking lot r before driver obtains parking, driving ductor information,For the position i of current parking, driving ductor arrives the expectation running time of induction destination j, θ is scale parameter;

32) calculate the selecting paths r of driver after obtaining parking, driving ductor information_ijProbabilityIn the time that destination is induced for driving in induction destination,Calculating formula be:

$P\left(X_{ij}^{1r}\right)=\frac{N\left(X_{ij}^{1r}\right)}{N}$

Wherein,For seeing after parking, driving ductor, selecting paths r_ijDriver's number, N is totalDriver's number,

In the time that induction destination is parking guidance destination,Calculating formula be:

$P\left(X_{ij}^{1r}\right)=\frac{l^{rj}\exp (-{\mathrm{\θU}}_{ijr}^1)}{\underset{1}{\overset{r}{\Σ}}\exp (-{\mathrm{\θU}}_{ijr}^1)}$

Wherein,For the utility function of parking lot r after driver obtains parking, driving ductor information, l^rjFor the virtual value in parking lot;

33) calculate the effective information AOI that stops, drives a vehicle ductor_ij，AOI_ijCalculating formula be:

${\mathrm{AOI}}_{ij}=\underset{r_{ij}}{\mathrm{\Σ}}P\left(X_{ij}^{0r}\right){\log }_2\left(X_{ij}^{0r}\right)-\underset{r_{ij}}{\Σ}P\left(X_{ij}^{1r}\right){\log }_2\left(X_{ij}^{1r}\right)(r_{ij}\∈R_{ij}).$

Described step 4) specifically comprise the following steps:

41) according to stop, driving ductor effective information calculate stop, driving ductor depending on recognizing time Y,Depending on the calculating formula of recognizing time Y be:

Y＝β₀+β₁*log(times)+r

β₀＝r₀₀+r₀₁*(AOI_ij)+u₀

β₁＝r₁₀+r₁₁*(AOI_ij)

Wherein, r and u₀For random perturbation, β₀And β₁For watching parking, driving induction depending on recognizing time Y and driverIntercept and the slope of plate number of times linear fit, r₀₀、r₀₁、r₁₀、r₁₁For β₀And β₁The fixed effect factor, variableInformation board different driven object drivers different information content is provided for having, now information content will by forβ₀And β₁Impact come expressing information amount and variable information plate depending on the relation between the time of recognizing;

42) evaluate according to effective information with depending on recognizing time Y the ductor that stops, drives a vehicle, specifically comprise with belowFace:

Judge the variable information plate in parking, the layout of driving ductor according to the concrete numerical value of effective informationWhether there is information overload, in order to optimize the information content of variable information plate carrying;

According to judging that depending on recognizing time Y whether the installation position of parking, driving ductor is reasonable, avoid depending on after recognizingCannot make correct response, in order to optimize the installation position that stops, drives a vehicle ductor.

Below in conjunction with accompanying drawing, embodiments of the invention are elaborated: the present embodiment taking technical solution of the present invention asUnder prerequisite, implement, provided detailed embodiment and concrete operating process, but protection scope of the present inventionBe not limited to following embodiment.

Meaning of the present invention is the ductor that stops, drives a vehicle to carry out information computing. Therefore the implementation case is selectedYangpu district of Shanghai Wujiao Court stop, the integrated ductor of driving a vehicle analyzes. As a comparison, present case also increasesAdd traditional parking guidance plate, for comparing. The concrete space of a whole page is shown in Fig. 2, wherein (2b) with (2d) for stopping,The integrated ductor of driving a vehicle, (2a) be (2c) traditional parking guidance plate. (2d) stops, drives a vehicle at presentIntegrated ductor is still among reality is used. The concrete grammar of information computing is:

Determine that main services object on ductor induce quantity and the position of destination; The sensing point that this is chosenFor 8 main traffics within this ductor space of a whole page service range attract source.

For each destination, calculate the feasible path of driver before seeing ductor;

For each destination, before calculating driver does not observe ductor, the employing probability of each feasible path;This example adopts experimental method to carry out. 30 drivers have been recruited in experiment altogether, and its age distributes and disperses with educational background, canAs the sampling of driver colony. Require driver to provide according to the map driving path.

The section traffic information providing according to ductor, after calculating driver observes ductor, the choosing of feasible pathSelect probability; First determine the show state of ductor peak hour, want afterwards experiment driver in step 3 according toThe transport information that ductor provides, selects driving path again.

Express driver by entropy theory and watch the uncertainty of selecting before and after ductor, and with crossing uncertain variationRepresent the information content that driver obtains from ductor. Calculate various ductors each destinations according to formula 7Information content. The results are shown in following table.

The table 1 ductor information computing result of stopping, drive a vehicle

In order to verify that the ductor information computing method that the present invention proposes has practical significance. Below will analyze inductionPlate information content and ductor are depending on the relation between the time of recognizing. In information computing test, record driver's observationDuctor observe the number of times of ductor depending on the time of recognizing and driver. Analyze 960 groups, total sample. To all samplesOriginally carry out multi-ply linear matching, the matching of experimental data being carried out to double-deck linear model obtains r₀₀＝1.52、r₀₁＝-0.11、r₁₀＝-0.54、r₀₀=0.08. Fitting formula is as follows:

Ground floor model:

Y＝β_θ+β₁*1og(times)+r

Second layer model:

$\left\{\begin{array}{c}{\mathrm{\β}}_0={\mathrm{\γ}}_{00}+{\mathrm{\γ}}_{01}*\left(I\right)+u_0\\ {\mathrm{\β}}_1={\mathrm{\γ}}_{10}+{\mathrm{\γ}}_{11}*\left(I\right)\end{array}\right.$

Wherein Y be driver depending on the time of recognizing, times be driver depending on recognizing number of times. I is that the present invention proposesThe information content of ductor. Experimental result is following table:

Ground floor model:

Y＝β₀+β₁*log(times)+r

Second layer model:

$\left\{\begin{array}{c}{\mathrm{\β}}_0=1.52-1.11*\left(I\right)+u_0\\ {\mathrm{\β}}_1=-0.54+0.08*\left(I\right)\end{array}\right.$

Thus the information content of ductor with have relation significantly depending on the time of recognizing. Physical relationship as shown in Figure 3.

Claims (3)

1. the parking based on effective information, a driving ductor evaluation method, is characterized in that, comprise withLower step:

1) obtain the parking guidance destination on parking, driving ductor and drive a vehicle and induce quantity and the position of destinationPut;

2) according to the quantity of the parking guidance destination obtaining and driving induction destination and the current parking of position acquisition,Feasible path set R between the position i of driving ductor and each induction destination j_ij；

3) according to feasible path set R_ijCalculate the effective information that stops, drives a vehicle ductor, specifically comprise followingStep:

31) calculate the selecting paths r of driver before obtaining parking, driving ductor information_ijProbabilityIn the time that destination is induced for driving in induction destination,Calculating formula be:

$P\left(X_{ij}^{0r}\right)=\frac{N\left(X_{ij}^{0r}\right)}{N}$

Wherein,For selecting paths r_ijDriver's number, N is total driver's number,In the time that induction destination is parking guidance destination,Calculating formula be:

$P\left(X_{ij}^{0r}\right)=\frac{\exp (-{\mathrm{\θU}}_{ijr}^0)}{\underset{1}{\overset{r}{\Σ}}\exp (-{\mathrm{\θU}}_{ijr}^0)}$

Wherein,For the utility function of parking lot r before driver obtains parking, driving ductor information, θFor scale parameter;

32) calculate the selecting paths r of driver after obtaining parking, driving ductor information_ijProbabilityIn the time that destination is induced for driving in induction destination,Calculating formula be:

$P\left(X_{ij}^{1r}\right)=\frac{N\left(X_{ij}^{1r}\right)}{N}$

Wherein,For seeing after parking, driving ductor, selecting paths r_ijDriver's number, N is totalDriver's number,In the time that induction destination is parking guidance destination,Calculating formula be:

$P\left(X_{ij}^{1r}\right)=\frac{l^{rj}\exp (-{\mathrm{\θU}}_{ijr}^1)}{\underset{1}{\overset{r}{\Σ}}\exp (-{\mathrm{\θU}}_{ijr}^1)}$

Wherein,For the utility function of parking lot r after driver obtains parking, driving ductor information, l^rjFor the virtual value in parking lot, θ is scale parameter;

33) calculate the effective information AOI that stops, drives a vehicle ductor_ij，AOI_ijCalculating formula be:

${\mathrm{AOI}}_{ij}=\underset{r_{ij}}{\mathrm{\Σ}}P\left(X_{ij}^{0r}\right){\log }_2\left(X_{ij}^{0r}\right)-\underset{r_{ij}}{\mathrm{\Σ}}P\left(X_{ij}^{1r}\right){\log }_2\left(X_{ij}^{1r}\right),\left(r_{ij}\∈R_{ij}\right);$

4) according to the effective information evaluation parking calculating, driving ductor.

2. a kind of parking, driving ductor evaluation method based on effective information according to claim 1,It is characterized in that, described parking guidance destination is the parking area that express on independent vacant parking stall, driving inductionDestination is related traffic attraction in ductor service range.

3. a kind of parking, driving ductor evaluation method based on effective information according to claim 1,It is characterized in that described step 4) specifically comprise the following steps:

41) according to stop, driving ductor effective information calculate stop, driving ductor depending on recognizing time Y,Depending on the calculating formula of recognizing time Y be:

Y＝β₀+β₁*log(times)+r

β₀＝r₀₀+r₀₁*(AOI_ij)+u₀

β₁＝r₁₀+r₁₁*(AOI_ij)

Wherein, r and u₀For random perturbation, β₀And β₁For watching parking, driving induction depending on recognizing time Y and driverIntercept and the slope of plate number of times linear fit, r₀₀、r₀₁、r₁₀、r₁₁For β₀And β₁The fixed effect factor, timesFor driver depending on recognizing number of times;

42) evaluate according to effective information with depending on recognizing time Y the ductor that stops, drives a vehicle, specifically comprise with belowFace:

Judge the variable information plate in parking, the layout of driving ductor according to the concrete numerical value of effective informationWhether there is information overload;

According to judging that depending on recognizing time Y whether the installation position of parking, driving ductor is reasonable.