CN116311916A - Method for estimating discrete point isochronous characteristic value of land surface generated by facing traffic isochronous line - Google Patents

Method for estimating discrete point isochronous characteristic value of land surface generated by facing traffic isochronous line Download PDF

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CN116311916A
CN116311916A CN202310149481.1A CN202310149481A CN116311916A CN 116311916 A CN116311916 A CN 116311916A CN 202310149481 A CN202310149481 A CN 202310149481A CN 116311916 A CN116311916 A CN 116311916A
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discrete points
discrete
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isochronous
land
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CN116311916B (en
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马莹莹
陈曦
许明朗
谢文艺
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South China University of Technology SCUT
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
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Abstract

The invention discloses a land surface discrete point isochronous characteristic value estimation method for traffic isochronous line generation, which comprises the following steps: 1) Rasterizing a research area of the urban road network, wherein a grid central point is a land surface discrete point; 2) The discrete points of the land surface are divided into the following steps according to the space connection relation between the discrete points of the land surface and the discrete points of the road line and the road section: 1. 2,3 class surface discrete points, and assigning a maximum value for all land block surface discrete points as an initial value; 3) Calculating the characteristic values of discrete points of the class 1 and class 2 surfaces; 4) Calculating the isochronous characteristic values of the 3-class surface discrete points, checking whether the isochronous characteristic values of all the land surface discrete points are smaller than the initial value, and repeating the step 4) until the condition is met if the isochronous characteristic values of all the land surface discrete points are not met; 5) And deleting the 1-class surface discrete points, and outputting the isochronous characteristic values of the 2-class surface discrete points and the 3-class surface discrete points until the estimation is completed. The invention breaks through the defect of the existing traffic isochrone generation method in consideration of discrete points of the land surface, and refines the generation process of the traffic isochrone.

Description

Method for estimating discrete point isochronous characteristic value of land surface generated by facing traffic isochronous line
Technical Field
The invention relates to the technical field of urban road network aging performance evaluation and analysis, in particular to a land surface discrete point and other characteristic value estimation method for traffic isochrone generation.
Background
The aging performance of the road network is the embodiment of the capacity of the road network to bear traffic flow in the time dimension, and is an important evaluation parameter for road network planning, design and management. The traffic isochrone is a closed curve formed by connecting all points with equal travel time from a certain point in the road network, is a reflection of the travel time on the traffic network in a space distribution state, and is an important means for researching the space timeliness performance of the road network. And the isochronous characteristic value estimation of the discrete points of the road network is an important link in the process of generating the traffic isochronous line.
The road network discrete points can be divided into road line discrete points and land surface discrete points according to the positions of the road network discrete points. The isochronous characteristic value of the discrete points of the road line can be obtained directly by the online map service or calculated by a shortest path algorithm and the like, while the discrete points of the land surface are separated from the road, and the isochronous characteristic value cannot be calculated as simply as the discrete points of the road line. In the existing isochrone generation method, even dispersion is adopted, and road line dispersion points and land surface dispersion points are not distinguished; or only the discrete points of the road line are considered, and the isochronous characteristic value estimation of the discrete points of the land surface is not considered. The former can not generate accurate traffic isochrones and takes a long time; the latter may not obtain ideal interpolation results due to the discrete spatial distribution of the road, thereby generating traffic isochrones with "holes", "bubbles".
The method for estimating the land discrete point isochrone characteristic value for traffic isochrone generation provided by the invention refines the generation flow of the traffic isochrone, and lays a foundation for efficiently and accurately generating the traffic isochrone. The method classifies land discrete points obtained based on the road network non-uniform discrete method, classifies the land discrete points into three categories according to the spatial relationship between the land discrete points and the road line discrete points, and the isochronous characteristic values of the land discrete points in different categories are calculated according to the estimation results of the isochronous characteristic values of the road line discrete points.
Disclosure of Invention
The invention aims to overcome the defects and shortcomings of the prior art, and provides a land surface discrete point and other characteristic value estimation method for traffic isochrone generation, which breaks through the defect of the existing traffic isochrone generation method in consideration of the land surface discrete point, and refines the generation process of the traffic isochrone.
In order to achieve the above purpose, the technical scheme provided by the invention is as follows: the method for estimating the land surface discrete point isochronal characteristic value generated by facing the traffic isochrone comprises the following steps:
1) The research area of the urban road network is rasterized, namely, the urban road network is divided into a plurality of square grids with the side length of s, and the center point of each square grid is the discrete point P of the land surface p (i) I=1, 2,3, …, n, n represents the number of discrete points of the land surface;
2) Through discrete point P of land surface p (i) Discrete point P from road line L (j) And road segment e k J=1, 2,3, …, m, m represents the number of discrete points of the road line, dividing the discrete points of the land surface into: class 1 surface discrete points
Figure BDA0004090280680000021
Class 2 surface discrete points->
Figure BDA0004090280680000022
And class 3 surface discrete points->
Figure BDA0004090280680000023
A maximum value M is given to all land surface discrete points as an initial value;
3) Estimating isochronous characteristic values of discrete points of land areas of different categories, and using known isochronous characteristic values of discrete points of road lines
Figure BDA0004090280680000024
Respectively calculating the characteristic value +.1 class surface discrete points and the like>
Figure BDA0004090280680000025
And class 2 surface discrete point isochronal eigenvalue +.>
Figure BDA0004090280680000026
4) Based on 3 kinds of surface discrete points
Figure BDA0004090280680000027
Calculating characteristic values +.f. of 3 kinds of discrete points and the like of other neighboring land block surface discrete points>
Figure BDA0004090280680000028
Checking whether the isochronous characteristic values of all land surface discrete points are smaller than an initial value M, and if not, repeating the step 4) until the condition is met;
5) And deleting the 1-class surface discrete points, outputting the isochronous characteristic values of the 2-class surface discrete points and the 3-class surface discrete points, and finishing the estimation of the isochronous characteristic values of all the land block surface discrete points.
Further, in step 1), the discrete accuracy is determined by the side length s of the square obtained after rasterization, and the uniformly distributed land discrete points are determined by the center of the square.
Further, in step 2), discrete points P are separated according to the land surface p (i) Within the square area, the points P are separated from the road line L (j) And road segment e k The space association can divide the discrete points of the land surface into the following three types of discrete points, and the judgment standard is as follows:
class 1 surface discrete points
Figure BDA0004090280680000031
Discrete point P of land surface p (i) The square grid and the discrete point P of the road line are simultaneously adopted L (j) And road segment e k Intersecting;
class 2 surface discrete points
Figure BDA0004090280680000032
Discrete point P of land surface p (i) The square does not have a discrete point P with the road line L (j) Intersecting but with road section e k Intersecting;
class 3 surface discrete points
Figure BDA0004090280680000033
Discrete point P of land surface p (i) Discrete points P of the square and road line L (j) And road segment e k Are all disjoint;
and determining the attribution of each land surface discrete point according to the judging standard, and simultaneously, assigning a maximum value M to all the land surface discrete points as an initial value, wherein the initial value is used for calculating the isochronal characteristic value of the land surface discrete point in the subsequent step and is used as a reference for judging whether the land surface discrete point is estimated and assigned.
Further, in step 3), the characteristic values such as discrete points of the road line and the like
Figure BDA0004090280680000034
As known condition input, the method is used for estimating characteristic values such as discrete points of the land surface;
class 1 surface discrete point isochronous feature value
Figure BDA0004090280680000035
Equal to +.1 class of surface discrete points>
Figure BDA0004090280680000036
The average value of the characteristic values of the discrete points of the road line intersected by the square is as follows:
Figure BDA0004090280680000037
in the method, in the process of the invention,
Figure BDA0004090280680000038
representing the discrete point of the corresponding class 1 surface>
Figure BDA0004090280680000039
A collection of all road line discrete points intersected in the square; />
Figure BDA00040902806800000310
Representation set->
Figure BDA00040902806800000311
Discrete points of a certain road line in the interior->
Figure BDA00040902806800000312
Wherein c represents the set +.>
Figure BDA00040902806800000313
Index number in (a);
class 2 surface discrete points
Figure BDA00040902806800000314
Adjacent to road section, so 2 kinds of surface discrete points are equal in characteristic value +.>
Figure BDA00040902806800000315
Error time is added to the isochronous characteristic value of the road line discrete point with the smallest straight line distance, and the error time is as follows:
Figure BDA00040902806800000316
wherein P is L (N) represents and corresponds to the discrete points of the class 2 surface
Figure BDA0004090280680000041
Discrete points of the road line with the nearest straight line, +.>
Figure BDA0004090280680000042
Representing P L An isochronous characteristic value of (N); />
Figure BDA0004090280680000043
And v p Respectively indicate->
Figure BDA0004090280680000044
And P L (N) Euclidean distance between two points and estimated walking speed, for estimating error time.
Further, in step 4), because of the 3-class surface discrete points
Figure BDA0004090280680000045
Is not in phase with road sectionAdjacent, 3 kinds of surface discrete points isochronous characteristic value +.>
Figure BDA0004090280680000046
Error time is added to the minimum value of the isochronous feature values of adjacent land surface discrete points as follows:
Figure BDA0004090280680000047
Figure BDA0004090280680000048
wherein P is p near Representation and class 3 surface discrete points
Figure BDA0004090280680000049
A set of discrete points of adjacent plots, +.>
Figure BDA00040902806800000410
Representing the set P p near Discrete point P of certain land surface p near (b) Wherein b represents the set P p near Index number in (a); s and v p Respectively representing the side length of the square to which the discrete points of the land surface belong and the estimated walking speed, delta t 0 Representing the time error between discrete points of adjacent plots.
Further, in step 5), since the 1-class surface discrete point spatial position is close to the road line discrete point, after the auxiliary calculation of the 3-class surface discrete point or the like characteristic value, it is deleted in the subsequent process of generating the traffic or the like line to avoid data redundancy.
Compared with the prior art, the invention has the following advantages and beneficial effects:
1) The generation process of the traffic isochrone is thinned, and the estimation of the feature value of the land surface discrete points and the like is additionally considered on the basis of considering the road line discrete points.
2) According to the space connection relation, the discrete points of the land surface are classified into three types, and different isochronous characteristic value estimation methods are adopted according to different position relations, so that the accuracy of estimating the isochronous characteristic value of the discrete points of the land surface is improved.
3) When the isochronous characteristic values of the discrete points of the land surface of class 2 and class 3 are calculated, different time errors are considered, namely, traffic influence factors are considered, so that the estimation of the isochronous characteristic values of the land surface is more practical, and the calculation result is more accurate.
Drawings
FIG. 1 is a flow chart of the method of the present invention.
Fig. 2 is a schematic diagram of an embodiment road network.
Fig. 3 is a schematic view of three surface discrete points.
FIG. 4 is a schematic diagram of the calculation result of characteristic values such as discrete points of a land surface according to the embodiment.
Detailed Description
The present invention will be described in further detail with reference to examples and drawings, but embodiments of the present invention are not limited thereto.
As shown in fig. 1, the embodiment discloses a method for estimating a land discrete point isochronal characteristic value generated by facing a traffic isochrone, which comprises the following specific steps:
1) The research area of the urban road network is rasterized, namely, the urban road network is divided into a plurality of square grids with the side length of s, and the center point of each square grid is the discrete point P of the land surface p (i) I=1, 2,3, …, n, n represents the number of discrete points of the land surface; the discrete accuracy is determined by the side length s of the square obtained after rasterization, and the uniformly distributed land discrete points are determined by the center of the square.
2) Through discrete point P of land surface p (i) Discrete point P from road line L (j) And road segment e k J=1, 2,3, …, m, m represents the number of discrete points of the road line, dividing the discrete points of the land surface into: class 1 surface discrete points
Figure BDA0004090280680000051
Class 2 surface discrete points->
Figure BDA0004090280680000052
And class 3 surface discrete points->
Figure BDA0004090280680000053
And a maximum value M is assigned to all land surface discrete points as an initial value, and the method is as follows:
according to the discrete point P of the land surface p (i) Within the square area, the points P are separated from the road line L (j) And road segment e k The space association can divide the discrete points of the land surface into the following three types of discrete points, and the judgment standard is as follows:
class 1 surface discrete points
Figure BDA0004090280680000054
Discrete point P of land surface p (i) The square grid and the discrete point P of the road line are simultaneously adopted L (j) And road segment e k Intersecting;
class 2 surface discrete points
Figure BDA0004090280680000061
Discrete point P of land surface p (i) The square does not have a discrete point P with the road line L (j) Intersecting but with road section e k Intersecting;
class 3 surface discrete points
Figure BDA0004090280680000062
Discrete point P of land surface p (i) Discrete points P of the square and road line L (j) And road segment e k Are all disjoint;
and determining the attribution of each land surface discrete point according to the judging standard, and simultaneously, assigning a maximum value M to all the land surface discrete points as an initial value, wherein the initial value is used for calculating the isochronal characteristic value of the land surface discrete point in the subsequent step and is used as a reference for judging whether the land surface discrete point is estimated and assigned.
3) Estimating isochronous characteristic values of discrete points of land areas of different types, wherein the isochronous characteristic values t of the discrete points of the road line are known PL(j) Respectively calculating the characteristic values of 1 class of surface discrete points and the like
Figure BDA0004090280680000063
And class 2 surface discrete point isochronal eigenvalue +.>
Figure BDA0004090280680000064
The method comprises the following steps:
discrete point isochronous feature value of road line
Figure BDA0004090280680000065
As known condition input, the method is used for estimating characteristic values such as discrete points of the land surface;
class 1 surface discrete point isochronous feature value
Figure BDA0004090280680000066
Equal to +.1 class of surface discrete points>
Figure BDA0004090280680000067
The average value of the characteristic values of the discrete points of the road line intersected by the square is as follows:
Figure BDA0004090280680000068
in the method, in the process of the invention,
Figure BDA0004090280680000069
representing the discrete point of the corresponding class 1 surface>
Figure BDA00040902806800000610
A collection of all road line discrete points intersected in the square; />
Figure BDA00040902806800000611
Representation set->
Figure BDA00040902806800000612
Discrete points of a certain road line in the interior->
Figure BDA00040902806800000613
Is used to determine the isochronous characteristic value of (1),wherein c represents the set->
Figure BDA00040902806800000614
Index number in (a);
class 2 surface discrete points
Figure BDA00040902806800000615
Adjacent to road section, so 2 kinds of surface discrete points are equal in characteristic value +.>
Figure BDA00040902806800000616
Error time is added to the isochronous characteristic value of the road line discrete point with the smallest straight line distance, and the error time is as follows:
Figure BDA00040902806800000617
wherein P is L (N) represents and corresponds to the discrete points of the class 2 surface
Figure BDA0004090280680000071
Discrete points of the road line with the nearest straight line, +.>
Figure BDA0004090280680000072
Representing P L An isochronous characteristic value of (N); />
Figure BDA0004090280680000073
And v p Respectively indicate->
Figure BDA0004090280680000074
And P L (N) Euclidean distance between two points and estimated walking speed, for estimating error time.
4) Based on 3 kinds of surface discrete points
Figure BDA0004090280680000075
Calculating characteristic values +.f. of 3 kinds of discrete points and the like of other neighboring land block surface discrete points>
Figure BDA0004090280680000076
Checking whether the isochronous characteristic values of all land surface discrete points are smaller than an initial value M, and if not, repeating the step 4) until the condition is met;
because of 3 kinds of surface discrete points
Figure BDA0004090280680000077
If the characteristic value is not adjacent to the road section, the characteristic value of 3 kinds of surface discrete points and the like is->
Figure BDA0004090280680000078
Error time is added to the minimum value of the isochronous feature values of adjacent land surface discrete points as follows:
Figure BDA0004090280680000079
Figure BDA00040902806800000710
wherein P is p near Representation and class 3 surface discrete points
Figure BDA00040902806800000711
A set of discrete points of adjacent plots, +.>
Figure BDA00040902806800000712
Representing the set P p near Discrete point P of certain land surface p near (b) Wherein b represents the set P p near Index number in (a); s and v p Respectively representing the side length of the square to which the discrete points of the land surface belong and the estimated walking speed, delta t 0 Representing the time error between discrete points of adjacent plots.
5) Because the space position of the 1-class surface discrete point is close to the road line discrete point, after the characteristic value of the 3-class surface discrete point and the like is calculated in an auxiliary mode, the characteristic value is deleted in the subsequent process of generating the traffic isochrone so as to avoid data redundancy; and deleting the 1-class surface discrete points, outputting the isochronous characteristic values of the 2-class surface discrete points and the 3-class surface discrete points, and finishing the estimation of the isochronous characteristic values of all the land block surface discrete points.
The following we choose the central business district road network of Guangzhou city Tianhe district as the case, the road network area is 8.56km 2 . The road network is mainly researched in the areas of north to Tianhe road, south to Lingjiang road and west to Guangzhou road, and the areas of east to Hunder road are shown in the figure 2. There are 140 road segments in the road network, wherein the ratio of the expressway, the main road, the secondary main road and the branch road is 27.2%, 5.7%, 35.7% and 31.4%, respectively. And researching the current road condition, intersection current situation and signal timing current situation of the research area to acquire and arrange basic road network data and signal timing data.
The road is firstly scattered into points according to a certain rule. And the road mesh target range is rasterized, namely a plurality of small squares which are orderly arranged are obtained by dividing, and the central point of each square is taken as a discrete point of the land surface. And determining classification of discrete points of the land surface according to the space connection, wherein each classification condition is shown in figure 3. And respectively estimating the isochronous characteristic values of the discrete points of the land areas of different categories according to different calculation methods. Finally, the land surface discrete points with the isochronous characteristic values shown in fig. 4 are obtained from the road network shown in fig. 2 (the road line discrete points are included in the diagram, and the class 1 surface discrete points are removed). The land surface discrete points with the isochronal characteristic values generated by the method take the spatial position relationship and traffic influence factors into consideration, and can effectively improve the precision of the traffic isochrone generated subsequently.
The above examples are preferred embodiments of the present invention, but the embodiments of the present invention are not limited to the above examples, and any other changes, modifications, substitutions, combinations, and simplifications that do not depart from the spirit and principle of the present invention should be made in the equivalent manner, and the embodiments are included in the protection scope of the present invention.

Claims (6)

1. The method for estimating the land surface discrete point isochronal characteristic value generated by facing the traffic isochrone is characterized by comprising the following steps of:
1) The investigation region of the urban road network is rasterized,namely, dividing the land into a plurality of square grids with side length s, wherein the center point of each square grid is the discrete point P of the land surface p (i) I=1, 2,3,..n, n represents the number of discrete points of the plot;
2) Through discrete point P of land surface p (i) Discrete point P from road line L (j) And road segment e k J=1, 2,3,..m, m represents the number of road line discrete points, dividing the land surface discrete points into: class 1 surface discrete points
Figure FDA0004090280670000011
Class 2 surface discrete points
Figure FDA0004090280670000012
And class 3 surface discrete points->
Figure FDA0004090280670000013
A maximum value M is given to all land surface discrete points as an initial value;
3) Estimating isochronous characteristic values of discrete points of land areas of different categories, and using known isochronous characteristic values of discrete points of road lines
Figure FDA0004090280670000014
Respectively calculating the characteristic value +.1 class surface discrete points and the like>
Figure FDA0004090280670000015
And class 2 surface discrete point isochronal eigenvalue +.>
Figure FDA0004090280670000016
4) Based on 3 kinds of surface discrete points
Figure FDA0004090280670000017
Calculating the characteristic values of 3 kinds of discrete points and the like of other neighboring land block surface discrete points
Figure FDA0004090280670000018
Check whether or not to all ofThe isochronous characteristic values of the discrete points of the block surface are smaller than the initial value M, and if the isochronous characteristic values are not met, the step 4) is repeated until the condition is met;
5) And deleting the 1-class surface discrete points, outputting the isochronous characteristic values of the 2-class surface discrete points and the 3-class surface discrete points, and finishing the estimation of the isochronous characteristic values of all the land block surface discrete points.
2. The method for estimating the land surface discrete point isochronous characteristic value generated for the traffic isochronous line according to claim 1, wherein the method comprises the following steps: in step 1), discrete accuracy is determined by the side length s of the grid obtained after rasterization, and uniformly distributed land discrete points are determined by the grid center.
3. The method for estimating the land surface discrete point isochronous characteristic value for traffic isochronous line generation according to claim 2, wherein the method comprises the steps of: in step 2), according to the land surface discrete point P p (i) Within the square area, the points P are separated from the road line L (j) And road segment e k The space association can divide the discrete points of the land surface into the following three types of discrete points, and the judgment standard is as follows:
class 1 surface discrete points
Figure FDA0004090280670000021
Discrete point P of land surface p (i) The square grid and the discrete point P of the road line are simultaneously adopted L (j) And road segment e k Intersecting;
class 2 surface discrete points
Figure FDA0004090280670000022
Discrete point P of land surface p (i) The square does not have a discrete point P with the road line L (j) Intersecting but with road section e k Intersecting;
class 3 surface discrete points
Figure FDA0004090280670000023
Discrete point P of land surface p (i) Discrete points P of the square and road line L (j) And road segment e k Are all disjoint;
and determining the attribution of each land surface discrete point according to the judging standard, and simultaneously, assigning a maximum value M to all the land surface discrete points as an initial value, wherein the initial value is used for calculating the isochronal characteristic value of the land surface discrete point in the subsequent step and is used as a reference for judging whether the land surface discrete point is estimated and assigned.
4. The traffic isochrone-oriented land surface discrete point isochronal characteristic value estimation method of claim 3, wherein the method is characterized by: in step 3), the characteristic values of discrete points of the road line and the like
Figure FDA0004090280670000024
As known condition input, the method is used for estimating characteristic values such as discrete points of the land surface;
class 1 surface discrete point isochronous feature value
Figure FDA0004090280670000025
Equal to +.1 class of surface discrete points>
Figure FDA0004090280670000026
The average value of the characteristic values of the discrete points of the road line intersected by the square is as follows:
Figure FDA0004090280670000027
in the method, in the process of the invention,
Figure FDA0004090280670000028
representing the discrete point of the corresponding class 1 surface>
Figure FDA0004090280670000029
A collection of all road line discrete points intersected in the square;
Figure FDA00040902806700000210
representation set->
Figure FDA00040902806700000211
Discrete points of a certain road line in the interior->
Figure FDA00040902806700000212
Wherein c represents the set +.>
Figure FDA00040902806700000213
Index number in (a);
class 2 surface discrete points
Figure FDA00040902806700000214
Adjacent to road section, so 2 kinds of surface discrete points are equal in characteristic value +.>
Figure FDA00040902806700000215
Error time is added to the isochronous characteristic value of the road line discrete point with the smallest straight line distance, and the error time is as follows:
Figure FDA00040902806700000216
wherein P is L (N) represents and corresponds to the discrete points of the class 2 surface
Figure FDA00040902806700000217
Discrete points of the road line with the nearest straight line, +.>
Figure FDA0004090280670000031
Representing P L An isochronous characteristic value of (N); />
Figure FDA0004090280670000032
And v p Respectively indicate->
Figure FDA0004090280670000033
And P L (N) Euclidean distance between two points and estimated walking speed, for estimating error time.
5. The method for estimating the land surface discrete point isochronous characteristic value generated for the traffic isochronous line according to claim 4, wherein the method comprises the following steps: in step 4), because of the 3-class surface discrete points
Figure FDA0004090280670000034
If the characteristic value is not adjacent to the road section, the characteristic value of 3 kinds of surface discrete points and the like is->
Figure FDA0004090280670000035
Error time is added to the minimum value of the isochronous feature values of adjacent land surface discrete points as follows:
Figure FDA0004090280670000036
Figure FDA0004090280670000037
wherein P is p near Representation and class 3 surface discrete points
Figure FDA0004090280670000038
A set of discrete points of adjacent plots, +.>
Figure FDA0004090280670000039
Representing the set P p near Discrete point P of certain land surface p near (b) Of (2), wherein b Representing the set P p near Index number in (a); s and v p Respectively representing the side length of the square to which the discrete points of the land surface belong and the estimated walking speed, delta t 0 Representing the time error between discrete points of adjacent plots.
6. The method for estimating the land surface discrete point isochronous characteristic value based on the traffic isochronous line generation according to claim 5, wherein the method comprises the following steps: in step 5), since the 1-class surface discrete point spatial position is close to the road line discrete point, after the auxiliary calculation of the 3-class surface discrete point or the like characteristic value, the characteristic value is deleted in the subsequent process of generating the traffic isochrone so as to avoid data redundancy.
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