CN112185109B - Bearing capacity probability reduction representation method for intelligent network connection road - Google Patents

Bearing capacity probability reduction representation method for intelligent network connection road Download PDF

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CN112185109B
CN112185109B CN202010959743.7A CN202010959743A CN112185109B CN 112185109 B CN112185109 B CN 112185109B CN 202010959743 A CN202010959743 A CN 202010959743A CN 112185109 B CN112185109 B CN 112185109B
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bearing capacity
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CN112185109A (en
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李锐
王梦琪
薛鑫
张鑫洋
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Hohai University HHU
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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
    • 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
    • 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
    • G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
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Abstract

The invention discloses a bearing capacity probability reduction characterization method for an intelligent network connection road, which comprises the following steps: dividing intelligent network connection road sections; constructing an intelligent network road traffic characteristic database; determining the range of each section of the intelligent network connection road; calculating the reduction influence time of the bearing capacity of each section; and determining the reduced road bearing capacity intervals under different probabilities. The method determines the probability reduction characterization method facing the bearing capacity of the intelligent network connection road by means of the convenience of the intelligent network connection road in the aspect of data acquisition, provides reference for the design of the bearing capacity of the road, provides basis for formulating efficient traffic management control measures, can improve the road operation efficiency, and has great industrial utilization value.

Description

Bearing capacity probability reduction representation method for intelligent network connection road
Technical Field
The invention relates to a road bearing capacity oriented probability reduction representation method, in particular to an intelligent network road oriented bearing capacity probability reduction representation method, and belongs to the technical field of intelligent traffic management and control systems.
Background
With the rapid development of economy, in recent years, traffic problems have become one of the concerns of big cities in the world. One of the main traffic problems in China is the over-design and the over-design of the road bearing capacity, which causes the mismatching with the actual traffic volume. In fact, for different types of road sections, the influence factors of the bearing capacity of the road sections are different, if one road is divided according to the characteristics of the road sections, and the corresponding bearing capacity reduction method is adopted for the different road sections to reduce the bearing capacity of the road sections to the range contained by each road section, the bearing capacity reduction method of the whole road can be obtained, reference is provided for the design of the bearing capacity of the road, a basis is provided for formulating efficient traffic management control measures, and the method has very important significance for improving the running efficiency of the road. The intelligent network connection road is very convenient in data acquisition, and provides a foundation for calculation of reduction of road bearing capacity.
Disclosure of Invention
The invention mainly aims to overcome the defects in the prior art, and provides a bearing capacity probability reduction characterization method for an intelligent network connection road.
In order to achieve the purpose, the invention adopts the technical scheme that:
a bearing capacity probability reduction characterization method for an intelligent network connection road comprises the following steps:
1) dividing intelligent network connection road sections;
dividing the intelligent network road into five types, namely a roadside stop station section, a bay stop station section, an intersection section, a construction section and a general section, and dividing the up-down line of a bidirectional road respectively;
2) constructing an intelligent network road traffic characteristic database;
collecting vehicle traffic data in real time at peak time of working day, and recording t as a statistical time interval every t minuteskPeriod of time, n total t surveyskIn time intervals, an intelligent network connection road vehicle traffic characteristic database is constructed, and specifically comprises traffic characteristic data sets of a roadside stop, a bay stop section, an intersection section, a construction section and a general section;
3) determining the range of each section of the intelligent network connection road;
analyzing the data of each traffic characteristic data set, and determining the inclusion ranges of a roadside stop station section, a bay stop station section and a construction section according to the positions of vehicles at the lane change points on the upstream and the downstream of the section; determining the intersection section containing range according to the existence or nonexistence of the transition section and the transition section range of the intersection; the other sections belong to the common section;
4) calculating the reduction influence time of the bearing capacity of each section;
calculating the reduction influence time of the roadside stop station section according to the time of the vehicle arriving and leaving the roadside stop station;
calculating the discounted influence time of the bay docking station section according to the arrival and departure times of the vehicles at and from the bay docking station and the berth number of the bay docking station;
calculating the reduction influence time of the intersection section according to the signal timing scheme of the intersection;
calculating the reduction influence time of the construction section according to the construction time of the construction section;
calculating the reduction influence time of the general section according to the vehicle running characteristics of the general section;
5) determining reduced sections of the road bearing capacity under different probabilities;
and in each statistical time period, putting the calculated total influence time of the reduction of the bearing capacity of each section into different time sections, drawing a time section proportion graph, determining the time section with the highest proportion of each section and the proportion of the time section, determining the upper limit value and the lower limit value of the reduction interval of the bearing capacity of each section under different probabilities according to the proportion of the highest proportion of each section and the proportion of the upper and lower parts of the highest proportion of each section, reducing the range of the road sections contained in each section, and finally obtaining the reduction interval of the bearing capacity of the road.
The invention is further configured to: the step 2) is used for constructing an intelligent network connection road traffic characteristic database, specifically,
2-1) constructing a road side stop station section traffic characteristic data set
Traffic characteristic data set of roadside stop station sections
Figure GDA0002762304940000031
Wherein the content of the first and second substances,
Figure GDA0002762304940000032
respectively the arrival time and the departure time of the ith vehicle at the roadside stop,
Figure GDA0002762304940000033
respectively the distance between the upstream and downstream lane changing positions of the vehicle at the roadside stop and the starting point of the section;
2-2) constructing a traffic characteristic data set of the bay stop section
Bay docking station sector traffic characteristic data set
Figure GDA0002762304940000038
Wherein the content of the first and second substances,
Figure GDA0002762304940000034
the arrival time and the departure time of the ith vehicle at the bay stop station are respectively,
Figure GDA0002762304940000035
Figure GDA0002762304940000036
respectively the distance between the lane change position of the vehicle on the upstream and downstream of the bay stop and the starting point of the section, and b is the berth number of the bay stop;
2-3) constructing a traffic characteristic data set of the intersection section
Intersection section traffic characteristic data set
Figure GDA0002762304940000037
Wherein, tcThe time length of the signal period at the intersection is,
Figure GDA0002762304940000041
the effective green time of the left turn, the straight going and the right turn phase respectively,
Figure GDA0002762304940000042
the distance between the starting point of the transition section of the intersection entrance lane and the stop line;
2-4) constructing a traffic characteristic data set of a construction section
Traffic characteristic data set of construction section
Figure GDA0002762304940000043
Wherein the content of the first and second substances,
Figure GDA0002762304940000044
respectively the distance between the lane changing position of the vehicle at the upstream and the downstream of the construction area and the starting point of the construction section;
2-5) constructing general section traffic characteristic data set
Generally, the occurrence of accidents on the sections is random, and the data set does not need to be constructed.
The invention is further configured to: determining the range of each section of the intelligent network connection road in the step 3), specifically,
3-1) determining the section containing range of the roadside docking station
tkIn the time interval, the maximum distance between the lane changing position of the vehicle at the upstream and downstream of the section and the starting point of the section is found
Figure GDA0002762304940000045
Minimum value
Figure GDA0002762304940000046
Calculating the distance between the middle point of the lane changing position of the vehicle at the upstream and the downstream and the starting point of the section as
Figure GDA0002762304940000047
Figure GDA0002762304940000048
The roadside docking station includes a range of
Figure GDA0002762304940000049
3-2) determining bay docking station sector containment scope
tkIn the time interval, the maximum distance between the lane changing position of the vehicle at the upstream and downstream of the section and the starting point of the section is found
Figure GDA00027623049400000410
Minimum value
Figure GDA00027623049400000411
Calculating the distance between the middle point of the lane changing position of the vehicle at the upstream and the downstream and the starting point of the section as
Figure GDA00027623049400000412
Figure GDA00027623049400000413
The bay docking station includes a range of
Figure GDA00027623049400000414
3-3) determining the intersection section containing range
If the intersection entrance lane contains the transition section, the intersection contains the range of
Figure GDA00027623049400000415
Wherein the content of the first and second substances,
Figure GDA00027623049400000416
the distance between the starting point of the gradual change section and the stop line; if the gradual change section is not included, the range included by the intersection section is a section from the stop line to the upstream 100 meters;
3-4) determining the construction section containing range
tkIn the time interval, the maximum distance between the lane changing position of the vehicle at the upstream and downstream of the section and the starting point of the section is found
Figure GDA0002762304940000051
Minimum value
Figure GDA0002762304940000052
Calculating the distance between the middle point of the lane changing position of the vehicle at the upstream and the downstream and the starting point of the section as
Figure GDA0002762304940000053
Figure GDA0002762304940000054
The construction section includes a range of
Figure GDA0002762304940000055
3-5) determining the general segment containing range
The sections between the sections belong to a general section.
The invention is further configured to: in the step 4), the time for reducing the influence of the bearing capacity of the road side stop station section is calculated, specifically,
4-1a) converting arrival and departure times of vehicles
Converting arrival and departure times of vehicles in seconds, i.e. t(Ri)＝H(Ri)×3600+M(Ri)×60+S(Ri)Wherein, in the step (A),
Figure GDA0002762304940000056
Figure GDA0002762304940000057
respectively the arrival time and the departure time of the ith vehicle at the roadside stop, H(Ri)、M(Ri)、S(Ri)Respectively the time, minute and second of each conversion time;
4-2a) determining whether the vehicle is parked at the station
Figure GDA0002762304940000058
When the ith vehicle stops at the stop;
Figure GDA0002762304940000059
when the ith vehicle does not stop at the stop;
4-3a) calculating the time of impact on reducing the bearing capacity of the roadside station sections
tkIn the time interval, the bearing capacity of the ith vehicle of the roadside station reduces the influence time to
Figure GDA00027623049400000510
Wherein the content of the first and second substances,
Figure GDA00027623049400000511
respectively the arrival time and the departure time of the ith vehicle at the roadside stop; then tkThe total reduction influence time of the section of the time period is
Figure GDA0002762304940000061
Wherein VRAnd the total number of the vehicles reaching the roadside station stop within the statistical time period.
The invention is further configured to: in the step 4), the time for reducing the bearing capacity of the bay docking station section is calculated, specifically,
4-1b) converting arrival time and departure time of a vehicle
Converting each time in the arrival and departure times and the statistical period of the vehicle in seconds, i.e. t(Bi)＝H(Bi)×3600+M(Bi)×60+S(Bi)Wherein, in the step (A),
Figure GDA0002762304940000062
Figure GDA0002762304940000063
the arrival time and departure time t of the ith vehicle at the bay stop stationiFor each time instant in the statistical period, H(Bi)、M(Bi)、S(Bi)Respectively the time, minute and second of each conversion time;
4-2b) determining whether the vehicle is standing at each moment
Will tkEach time of the time interval is compared with the arrival time and the departure time of the vehicle,
Figure GDA0002762304940000064
when it is, it means that the ith vehicle is at tiStopping at the station at that moment;
Figure GDA0002762304940000065
or
Figure GDA0002762304940000066
When it is, it means that the ith vehicle is at tiNo stop at the station at any moment;
4-3b) calculating the number of vehicles standing at each moment
tiNumber of vehicles standing at any time
Figure GDA0002762304940000067
Wherein the content of the first and second substances,
Figure GDA0002762304940000068
respectively arrival time and departure time of the ith vehicle, b(Bi)Is 0;
4-4b) determining whether the parking station has vehicle queue overflow
When the number of vehicles at the stop station is larger than the berth number of the stop station at the same time, namely b(Bi)When the vehicle is more than b, vehicles are queued to overflow from the stop station; when b is(Bi)When b is less than or equal to b, no vehicles are queued to overflow at the stop station;
4-5b) calculating the overflow time of each queue of the stop
tkIn the time interval, the ith queuing overflow time of the stop station
Figure GDA0002762304940000069
Wherein, b(Bi)Is tiThe number of vehicles at the station at the moment, b is the berth number of the stop station,
Figure GDA0002762304940000071
is 0 second;
4-6b) calculating the bay docking station section discount influence time
tkThe total reduction in the bay docking station sector over the time period has an impact on time of
Figure GDA0002762304940000072
The invention is further configured to: in the step 4), the reduction influence time of the bearing capacity of the intersection section is calculated, specifically,
4-1c) calculating the red light duration of each flow direction phase
Each phase displays a green time of
Figure GDA0002762304940000073
Wherein f is a flow direction type, f is { L, T, R }, L is a left-turn phase, T is a straight-going phase, R is a right-turn phase,
Figure GDA0002762304940000074
effective green time for each flow phase, A, LsRespectively the yellow light duration and the vehicle start lost time, the red light time of each flow direction phase is
Figure GDA0002762304940000075
tcIs the cycle duration;
4-2c) calculating the reduction influence time of the bearing capacity of the intersection section
tkWithin a time interval, the reduction influence time of the section in one cycle is
Figure GDA0002762304940000076
Wherein the content of the first and second substances,
Figure GDA0002762304940000077
red light time of left turn, straight going and right turn phase of the intersection respectively; t is tkTime sharing
Figure GDA0002762304940000078
A period, wherein t is the time of each statistical period, the total reduction influence time of the intersection section is
Figure GDA0002762304940000079
The invention is further configured to: in the step 4), the time for reducing the influence of the bearing capacity of the construction section is calculated, specifically,
4-1d) judging whether the construction section is still under construction
For tkA determination is made at each time in the time period,
Figure GDA00027623049400000710
when the vehicle is in the construction section, the vehicle changes the lane at the upstream of the starting point of the construction section at the moment, and the construction section is still under construction at the moment;
Figure GDA00027623049400000711
if so, indicating that the vehicle has driven past the starting point of the construction section at the moment, and indicating that the construction of the construction section at the moment is cancelled;
4-2d) calculating the reduction influence time of the bearing capacity of the construction section
tkWithin a time interval, the total reduction influence time of the construction section is the sum of each construction time, if the time is
Figure GDA0002762304940000081
The total bearing capacity in the construction section reduces the influence time
Figure GDA0002762304940000082
Adding 1 second, or else adding 0 second, for tkA determination is made at each time in the time period, wherein,
Figure GDA0002762304940000083
the distance between the lane changing position of the vehicle at the upstream of the construction section and the starting point of the section exceeds the starting point of the construction section and takes a negative value,
Figure GDA0002762304940000084
is 0 seconds.
The invention is further configured to: in the step 4), the time for reducing the influence of the bearing capacity of the general section is calculated, specifically,
tkin the time interval, the total reduction influence time of the bearing capacity of the general section is
Figure GDA0002762304940000085
The invention is further configured to: in the step 5), the reduced road bearing capacity intervals under different probabilities are determined, specifically,
5-1) putting the total influence time of each section into a time section
With t1Dividing the time interval into time sections, wherein t is more than or equal to 01T is less than or equal to t, and each time zone is [0, t%1]，(t1,2t1],., in total
Figure GDA0002762304940000086
A time section;
tkwithin a time interval, each section has n total reducing influence time
Figure GDA0002762304940000087
Wherein, m is a section type, m is { R, B, I, C, O }, wherein, R represents a roadside stop section, B represents a bay stop section, I represents an intersection section, C represents a construction section, O represents a general section, the total influence time is put into the corresponding time section, the total influence time number contained in the ith time section of each section is that
Figure GDA0002762304940000088
5-2) determining the highest time section of each section and the ratio thereof
tkIn the time interval, the maximum value of the total influence time number contained in the time section of each section is recorded as
Figure GDA0002762304940000089
The percentage of each segment to the highest time segment is
Figure GDA0002762304940000091
n is the number of investigation periods;
5-3) determining the total occupation ratio of the upper and the lower parts of the highest time section of the occupation ratio
tkIn the time interval, the total number of the influence time contained in the upstream and downstream of each section occupying the highest time section is recorded as
Figure GDA0002762304940000092
When the ith time zone ((i-1) t)1,it1]Upstream of the time segment with the highest proportion, i.e. (i-1) t1≥tM2When the temperature of the water is higher than the set temperature,
Figure GDA0002762304940000093
Figure GDA0002762304940000094
is 0; (i-1) t1＜tM2When the temperature of the water is higher than the set temperature,
Figure GDA0002762304940000095
Figure GDA0002762304940000096
is 0; the total occupancy rates of the upper and lower streams of the highest occupancy rate time segment are respectively
Figure GDA0002762304940000097
5-4) determining the reduced bearing capacity interval of each section
tkIn the time interval, when the acceptable reduction probability is set to be p%, the time interval from the highest time segment of the percentage
Figure GDA0002762304940000098
Has a middle value of B(mk)The upper limit value of the reduced load-bearing capacity interval of the section is
Figure GDA0002762304940000099
Downstream of the highest time segment of the occupancy
Figure GDA00027623049400000910
Has a middle value of A(mk)The lower limit value of the reduced load-bearing capacity interval of the segment is
Figure GDA00027623049400000912
Then tkWithin a time interval, the reduction interval of the bearing capacity of each section is
Figure GDA00027623049400000911
5-5) determining the section with reduced road bearing capacity
tkWithin a time interval, the reduction interval of the bearing capacity of each section is reduced to the inclusion range of each section respectively to obtain tkThe bearing capacity of the road in the time interval is reduced.
Compared with the prior art, the invention has the beneficial effects that:
the bearing capacity probability reduction characterization method for the intelligent network-connected road provided by the invention divides the intelligent network-connected road into five types, namely a roadside stop section, a bay stop section, an intersection section, a construction section and a general section, calculates the bearing capacity reduction sections of different road sections by means of vehicle traffic data acquired in real time, further calculates the bearing capacity reduction sections of the whole road, and has very important significance for improving the road operation efficiency.
The foregoing is only an overview of the technical solutions of the present invention, and in order to more clearly understand the technical solutions of the present invention, the present invention is further described below with reference to the accompanying drawings.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a schematic view of the road section division in step 1) of the present invention;
fig. 3 is a schematic diagram of the bus stop unit bus queue overflow condition in step 4) of the invention.
Detailed Description
The invention is further described with reference to the accompanying drawings.
A bearing capacity probability reduction characterization method facing an intelligent network connection road is shown in figure 1 and comprises the following steps:
1) dividing intelligent network connection road sections;
the intelligent network connection road is divided into five types, namely a roadside stop station section, a bay stop station section, an intersection section, a construction section and a general section, and the up and down of the bidirectional road are divided respectively.
2) Constructing an intelligent network road traffic characteristic database;
the traffic data of the vehicles are collected in real time in the peak time period (7:00-9:00, 17:00-19:00) of the working day, and every t minutes is taken as a statistical time period which is marked as tkPeriod of time, n total t surveyskIn time intervals, an intelligent network connection road vehicle traffic characteristic database is constructed, and specifically comprises traffic characteristic data sets of a roadside stop, a bay stop section, an intersection section, a construction section and a general section;
in particular to a method for preparing a high-performance nano-silver alloy,
2-1) constructing a road side stop station section traffic characteristic data set
Traffic characteristic data set of roadside stop station sections
Figure GDA0002762304940000111
Wherein the content of the first and second substances,
Figure GDA0002762304940000112
respectively the arrival time and the departure time of the ith vehicle at the roadside stop,
Figure GDA0002762304940000113
respectively the distance between the upstream and downstream lane changing positions of the vehicle at the roadside stop and the starting point of the section;
2-2) constructing a traffic characteristic data set of the bay stop section
Bay docking station sector traffic characteristic data set
Figure GDA0002762304940000114
Wherein the content of the first and second substances,
Figure GDA0002762304940000115
the arrival time and the departure time of the ith vehicle at the bay stop station are respectively,
Figure GDA0002762304940000116
Figure GDA0002762304940000117
respectively the distance between the lane change position of the vehicle on the upstream and downstream of the bay stop and the starting point of the section, and b is the berth number of the bay stop;
2-3) constructing a traffic characteristic data set of the intersection section
Intersection section traffic characteristic data set
Figure GDA0002762304940000118
Wherein, tcIn order to be the duration of the signal period,
Figure GDA0002762304940000119
the effective green time of the left turn, the straight going and the right turn phase respectively,
Figure GDA00027623049400001110
the distance between the starting point of the transition section of the intersection entrance lane and the stop line;
2-4) constructing a traffic characteristic data set of a construction section
Traffic characteristic data set of construction section
Figure GDA00027623049400001111
Wherein the content of the first and second substances,
Figure GDA00027623049400001112
respectively the distance between the lane changing position of the vehicle at the upstream and the downstream of the construction area and the starting point of the construction section;
2-5) constructing general section traffic characteristic data set
Since the occurrence of accidents on the general section is random, the data set does not need to be constructed.
3) Determining the range of each section of the intelligent network connection road;
analyzing the data of each data set, and determining the inclusion ranges of the roadside docking station section, the bay docking station section and the construction section according to the positions of the vehicles at the lane change points on the upstream and the downstream of the section; determining the intersection section containing range according to the existence or nonexistence of the transition section and the transition section range of the intersection; the other sections belong to the common section;
in particular to a method for preparing a high-performance nano-silver alloy,
3-1) determining the section containing range of the roadside docking station
tkIn the time interval, the maximum distance between the lane changing position of the vehicle at the upstream and downstream of the section and the starting point of the section is found
Figure GDA0002762304940000121
Minimum value
Figure GDA0002762304940000122
Calculating the distance between the middle point of the lane changing position of the vehicle at the upstream and the downstream and the starting point of the section as
Figure GDA0002762304940000123
Figure GDA0002762304940000124
The roadside docking station includes a range of
Figure GDA0002762304940000125
3-2) determining bay docking station sector containment scope
tkIn the time interval, the maximum distance between the lane changing position of the vehicle at the upstream and downstream of the section and the starting point of the section is found
Figure GDA0002762304940000126
Minimum value
Figure GDA0002762304940000127
Calculating the distance between the middle point of the lane changing position of the vehicle at the upstream and the downstream and the starting point of the section as
Figure GDA0002762304940000128
Figure GDA0002762304940000129
The bay docking station includesIn the range of
Figure GDA00027623049400001210
3-3) determining the intersection section containing range
If the intersection entrance lane contains the transition section, the intersection contains the range of
Figure GDA00027623049400001211
Wherein the content of the first and second substances,
Figure GDA00027623049400001212
the distance between the starting point of the gradual change section and the stop line; if the gradual change section is not included, the range included by the intersection section is a section from the stop line to the upstream 100 meters;
3-4) determining the construction section containing range
tkIn the time interval, the maximum distance between the lane changing position of the vehicle at the upstream and downstream of the section and the starting point of the section is found
Figure GDA00027623049400001213
Minimum value
Figure GDA00027623049400001214
Calculating the distance between the middle point of the lane changing position of the vehicle at the upstream and the downstream and the starting point of the section as
Figure GDA00027623049400001215
Figure GDA00027623049400001216
The construction section includes a range of
Figure GDA00027623049400001217
3-5) determining the general segment containing range
The sections between the sections belong to a general section.
4) Calculating the reduction influence time of the bearing capacity of the sections of the roadside docking stations;
calculating the reduction influence time of the roadside stop station section according to the time of the vehicle arriving and leaving the roadside stop station;
in particular to a method for preparing a high-performance nano-silver alloy,
4-1a) converting arrival and departure times of vehicles
Converting arrival and departure times of vehicles in seconds, i.e. t(Ri)＝H(Ri)×3600+M(Ri)×60+S(Ri)Wherein, in the step (A),
Figure GDA0002762304940000131
Figure GDA0002762304940000132
respectively the arrival time and the departure time of the ith vehicle at the roadside stop, H(Ri)、M(Ri)、S(Ri)Respectively the time, minute and second of each conversion time;
4-2a) determining whether the vehicle is parked at the station
Figure GDA0002762304940000133
When the ith vehicle stops at the stop;
Figure GDA0002762304940000134
when the ith vehicle does not stop at the stop;
4-3a) calculating the time of impact on reducing the bearing capacity of the roadside station sections
tkIn the time interval, the bearing capacity of the ith vehicle of the roadside station reduces the influence time to
Figure GDA0002762304940000135
Wherein the content of the first and second substances,
Figure GDA0002762304940000136
respectively the arrival time and the departure time of the ith vehicle at the roadside stop; then tkThe total reduction influence time of the section of the time period is
Figure GDA0002762304940000137
Wherein VRThe total number of vehicles arriving at the roadside station.
5) Calculating the reduction influence time of the bearing capacity of the bay docking station section;
calculating the discounted influence time of the bay docking station section according to the arrival and departure times of the vehicles at and from the bay docking station and the berth number of the bay docking station;
in particular to a method for preparing a high-performance nano-silver alloy,
4-1b) converting arrival time and departure time of a vehicle
Converting each time in the arrival and departure times and the statistical period of the vehicle in seconds, i.e. t(Bi)＝H(Bi)×3600+M(Bi)×60+S(Bi)Wherein, in the step (A),
Figure GDA0002762304940000141
Figure GDA0002762304940000142
the arrival time and departure time t of the ith vehicle at the bay stop stationiFor each time instant in the statistical period, H(Bi)、M(Bi)、S(Bi)Respectively the time, minute and second of each conversion time;
4-2b) determining whether the vehicle is standing at each moment
Will tkEach time of the time interval is compared with the arrival time and the departure time of the vehicle,
Figure GDA0002762304940000143
when it is, it means that the ith vehicle is at tiStopping at the station at that moment;
Figure GDA0002762304940000144
or
Figure GDA0002762304940000145
When it is, it means that the ith vehicle is at tiNo stop at the station at any moment;
4-3b) calculating the number of vehicles standing at each moment
tiNumber of vehicles standing at any time
Figure GDA0002762304940000146
Wherein the content of the first and second substances,
Figure GDA0002762304940000147
respectively arrival time and departure time of the ith vehicle, b(Bi)Is 0;
4-4b) determining whether the parking station has vehicle queue overflow
When the number of vehicles at the stop station is larger than the berth number of the stop station at the same time, namely b(Bi)When the vehicle is more than b, vehicles are queued to overflow from the stop station; when b is(Bi)When b is less than or equal to b, no vehicles are queued to overflow at the stop station;
4-5b) calculating the overflow time of each queue of the stop
tkIn the time interval, the ith queuing overflow time of the stop station
Figure GDA0002762304940000148
Wherein, b(Bi)Is tiThe number of vehicles at the station at the moment, b is the berth number of the stop station,
Figure GDA0002762304940000149
is 0 second;
4-6b) calculating the bay docking station section discount influence time
tkThe total reduction in the bay docking station sector over the time period has an impact on time of
Figure GDA00027623049400001410
6) Calculating the reduction influence time of the bearing capacity of the intersection section;
calculating the reduction influence time of the intersection section according to the signal timing scheme of the intersection;
in particular to a method for preparing a high-performance nano-silver alloy,
4-1c) calculating the red light duration of each flow direction phase
Green light with phase displayAt a time of
Figure GDA0002762304940000151
Wherein f is a flow direction type, f is { L, T, R }, L is a left-turn phase, T is a straight-going phase, R is a right-turn phase,
Figure GDA0002762304940000152
effective green time for each flow phase, A, LsRespectively the yellow light duration and the vehicle start lost time, the red light time of each flow direction phase is
Figure GDA0002762304940000153
tcIs the cycle duration;
4-2c) calculating the reduction influence time of the bearing capacity of the intersection section
tkWithin a time interval, the reduction influence time of the section in one cycle is
Figure GDA0002762304940000154
Wherein the content of the first and second substances,
Figure GDA0002762304940000155
red light time of left turn, straight going and right turn phase of the intersection respectively; t is tkTime sharing
Figure GDA0002762304940000156
A period, wherein t is the time of each statistical period, the total reduction influence time of the intersection section is
Figure GDA0002762304940000157
7) Calculating the reduction influence time of the bearing capacity of the construction section;
calculating the reduction influence time of the construction section according to the construction time of the construction section;
in particular to a method for preparing a high-performance nano-silver alloy,
4-1d) judging whether the construction section is still under construction
For tkEach time in the time interval goesAnd (4) judging the line,
Figure GDA0002762304940000158
when the vehicle is in the construction section, the vehicle changes the lane at the upstream of the starting point of the construction section at the moment, and the construction section is still under construction at the moment;
Figure GDA0002762304940000159
if so, indicating that the vehicle has driven past the starting point of the construction section at the moment, and indicating that the construction of the construction section at the moment is cancelled;
4-2d) calculating the reduction influence time of the bearing capacity of the construction section
tkWithin a time interval, the total reduction influence time of the construction section is the sum of each construction time, if the time is
Figure GDA0002762304940000161
The total bearing capacity in the construction section reduces the influence time
Figure GDA0002762304940000162
Adding 1 second, or else adding 0 second, for tkA determination is made at each time in the time period, wherein,
Figure GDA0002762304940000163
the distance between the lane changing position of the vehicle at the upstream of the construction section and the starting point of the section exceeds the starting point of the construction section and takes a negative value,
Figure GDA0002762304940000164
is 0 seconds.
8) Calculating the reduction influence time of the bearing capacity of the general section;
calculating the reduction influence time of the general section according to the vehicle running characteristics of the general section;
in particular to a method for preparing a high-performance nano-silver alloy,
tkin the time interval, the total reduction influence time of the bearing capacity of the general section is
Figure GDA0002762304940000165
9) Determining reduced sections of the road bearing capacity under different probabilities;
in each statistical time period, placing the calculated total influence time of the reduction of the bearing capacity of each section in different time sections, drawing a time section proportion graph, determining the time section with the highest proportion of each section and the proportion of the time section, determining the upper limit value and the lower limit value of the reduction interval of the bearing capacity of each section under different probabilities according to the proportion of the highest proportion and the proportion of the upper and lower streams of the highest proportion, reducing the road section range contained in each section, and finally obtaining the reduction interval of the bearing capacity of the road;
in particular to a method for preparing a high-performance nano-silver alloy,
5-1) putting the total influence time of each section into a time section
With t1Dividing the time interval into time sections, wherein t is more than or equal to 01T is less than or equal to t, and each time zone is [0, t%1]，(t1,2t1],., in total
Figure GDA0002762304940000166
A time section;
tkwithin a time interval, each section has n total reducing influence time
Figure GDA0002762304940000167
Wherein, m is a section type, m is { R, B, I, C, O }, wherein, R represents a roadside stop section, B represents a bay stop section, I represents an intersection section, C represents a construction section, O represents a general section, the total influence time is put into the corresponding time section, the total influence time number contained in the ith time section of each section is that
Figure GDA0002762304940000171
5-2) determining the highest time section of each section and the ratio thereof
tkIn the time interval, the maximum value of the total influence time number contained in the time section of each section is recorded as
Figure GDA0002762304940000172
The percentage of each segment to the highest time segment is
Figure GDA0002762304940000173
n is the number of investigation periods;
5-3) determining the total occupation ratio of the upper and the lower parts of the highest time section of the occupation ratio
tkIn the time interval, the total number of the influence time contained in the upstream and downstream of each section occupying the highest time section is recorded as
Figure GDA0002762304940000174
When the ith time zone ((i-1) t)1,it1]Upstream of the time segment with the highest proportion, i.e. (i-1) t1≥tM2When the temperature of the water is higher than the set temperature,
Figure GDA0002762304940000175
Figure GDA0002762304940000176
is 0; (i-1) t1＜tM2When the temperature of the water is higher than the set temperature,
Figure GDA0002762304940000177
Figure GDA0002762304940000178
is 0; the total occupancy rates of the upper and lower streams of the highest occupancy rate time segment are respectively
Figure GDA0002762304940000179
5-4) determining the reduced bearing capacity interval of each section
tkIn the time interval, when the acceptable reduction probability is set to be p%, the time interval from the highest time segment of the percentage
Figure GDA00027623049400001710
Has a middle value of B(mk)The section has reduced bearing capacityWith a limit of
Figure GDA00027623049400001711
Downstream of the highest time segment of the occupancy
Figure GDA00027623049400001712
Has a middle value of A(mk)The lower limit value of the reduced load-bearing capacity interval of the segment is
Figure GDA00027623049400001713
Then tkWithin a time interval, the reduction interval of the bearing capacity of each section is
Figure GDA00027623049400001714
5-5) determining the section with reduced road bearing capacity
tkWithin a time interval, the reduction interval of the bearing capacity of each section is reduced to the inclusion range of each section respectively to obtain tkThe bearing capacity of the road in the time interval is reduced.
Example (b):
further description is given to the bearing capacity probability reduction characterization method facing the intelligent internet road according to an example, and fig. 2 is a schematic diagram of intelligent internet road segment division. According to the specific steps of the bearing capacity probability reduction representation method facing the intelligent network connection road, the bearing capacity probability reduction interval of the intelligent network connection road is calculated.
S1: and dividing the intelligent network connection road section.
S11: as shown in fig. 2, the road is divided into 11 sections, 1 intersection section, 2 roadside docking station sections, 2 bay docking station sections, 1 construction section, and 5 general sections.
S2: and constructing an intelligent network connection road traffic characteristic database.
The method comprises the steps of collecting vehicle traffic data in real time at peak hours (7:00-9:00, 17:00-19:00) on a working day, taking the data every 15 minutes as a statistical time interval, surveying 80 time intervals in total, and constructing an intelligent network road vehicle traffic characteristic database, wherein the intelligent network road vehicle traffic characteristic database specifically comprises traffic characteristic data sets of a roadside stop, a harbor stop section, an intersection section, a construction section and a general section.
S21: building and constructing a road side stop station section traffic characteristic data set by means of the research data, specifically,
Figure GDA0002762304940000181
respectively the arrival time and the departure time of the ith vehicle at the roadside stop,
Figure GDA0002762304940000182
the distances from the start point of the section to the lane change positions of the vehicle on the upstream and downstream sides of the roadside station are shown in tables 1 and 2 (listing partial data).
TABLE 1
Figure GDA0002762304940000183
Figure GDA0002762304940000191
TABLE 2
Figure GDA0002762304940000192
S22: by means of the investigation data, a traffic characteristic data set of the bay stop section is constructed, specifically,
Figure GDA0002762304940000193
the arrival time and the departure time of the ith vehicle at the bay stop station are respectively,
Figure GDA0002762304940000194
Figure GDA0002762304940000195
respectively for vehicles parked in estuariesThe distance between the lane change positions on the upstream and downstream stations and the section starting point, and b is the bay stop berth number, as shown in tables 3 and 4 (listing partial data).
TABLE 3
Figure GDA0002762304940000196
TABLE 4
Figure GDA0002762304940000201
S23: constructing an intersection section traffic characteristic data set by means of the investigation data, specifically tcThe time length of the signal period at the intersection is,
Figure GDA0002762304940000202
the effective green time of the left turn, the straight going and the right turn phase respectively,
Figure GDA0002762304940000203
the distance from the start of the transition to the stop line for the intersection approach is shown in table 5.
TABLE 5
Figure GDA0002762304940000204
S24: and constructing a traffic characteristic data set of the construction section by means of the research data, specifically,
Figure GDA0002762304940000205
Figure GDA0002762304940000206
the distance of the vehicle from the start of the construction section at the lane change position upstream and downstream of the construction zone, respectively, is shown in table 6 (listing partial data).
TABLE 6
Figure GDA0002762304940000207
Figure GDA0002762304940000211
S3: determining that each segment contains a range.
S31: determining a roadside docking station section containing range;
finding the maximum distance between the lane changing position of the vehicle at the upstream and downstream of the section and the starting point of the section
Figure GDA0002762304940000212
Minimum value
Figure GDA0002762304940000213
Calculating the distance between the middle point of the lane changing position of the vehicle at the upstream and the downstream and the starting point of the section as
Figure GDA0002762304940000214
Figure GDA0002762304940000215
The roadside docking station includes a range of
Figure GDA0002762304940000216
As shown in table 7.
TABLE 7
Figure GDA0002762304940000217
S32: determining an estuary docking station section containing range;
finding the maximum distance between the lane changing position of the vehicle at the upstream and downstream of the section and the starting point of the section
Figure GDA0002762304940000218
Minimum value
Figure GDA0002762304940000219
Calculating the distance between the middle point of the lane changing position of the vehicle at the upstream and the downstream and the starting point of the section as
Figure GDA00027623049400002110
The bay docking station includes a range of
Figure GDA00027623049400002111
As shown in table 8.
TABLE 8
Figure GDA00027623049400002112
S33: determining an intersection section containing range;
the intersection comprises a range of
Figure GDA0002762304940000221
Wherein the content of the first and second substances,
Figure GDA0002762304940000222
the distance from the starting point of the transition section to the stop line is 100m, and the range included by the intersection #1 is
Figure GDA0002762304940000223
S34: determining the construction section containing range;
finding the maximum distance between the lane changing position of the vehicle at the upstream and downstream of the section and the starting point of the section
Figure GDA0002762304940000224
Minimum value
Figure GDA0002762304940000225
Calculating the distance between the middle point of the lane changing position of the vehicle at the upstream and the downstream and the starting point of the section as
Figure GDA0002762304940000226
The construction section includes a range of
Figure GDA0002762304940000227
As shown in table 9.
TABLE 9
Figure GDA0002762304940000228
S35: the sections between the special sections belong to the general section.
S4: and calculating the influence time reduced by the bearing capacity of the roadside stop station section.
S41: as shown in FIG. 3, the arrival and departure times of the vehicle are converted in seconds, i.e., t(Ri)＝H(Ri)×3600+M(Ri)×60+S(Ri)Wherein, in the step (A),
Figure GDA0002762304940000229
Figure GDA00027623049400002210
Figure GDA00027623049400002211
respectively the arrival time and the departure time of the ith vehicle at the roadside stop, H(Ri)、M(Ri)、S(Ri)The time, minute and second of each conversion time are respectively. And determines whether the vehicle is parked at the station,
Figure GDA00027623049400002212
when the ith vehicle stops at the stop;
Figure GDA00027623049400002213
when the ith vehicle is not parked at the stop, as shown in table 10 (enumerate part of the data).
Watch 10
Figure GDA00027623049400002214
Figure GDA0002762304940000231
S42: calculating the reduction influence time of the bearing capacity of the section of the roadside station, wherein the reduction influence time of the bearing capacity of the ith vehicle of the roadside station is
Figure GDA0002762304940000232
Wherein the content of the first and second substances,
Figure GDA0002762304940000233
respectively the arrival time and the departure time of the ith vehicle; then tkThe total reduction influence time of the section of the time period is
Figure GDA0002762304940000234
Wherein VRThe total number of vehicles arriving at the roadside station within the statistical period is shown in table 11 (enumerating part of the data).
TABLE 11
Figure GDA0002762304940000235
S5: calculating the time of impact of the reduction of the bearing capacity of the bay docking station section.
S51: converting each time in the arrival and departure times and the statistical period of the vehicle in seconds, i.e. t(Bi)＝H(Bi)×3600+M(Bi)×60+S(Bi)Wherein, in the step (A),
Figure GDA0002762304940000236
Figure GDA0002762304940000237
the arrival time and departure time t of the ith vehicle at the bay stop stationiIn statistical time intervalsAt each moment of time H(Bi)、M(Bi)、S(Bi)The time, minute and second of each conversion time are respectively. And judging whether the vehicle is at the station at each moment, comparing each moment with the arrival and departure moments of the vehicle,
Figure GDA0002762304940000238
when it is, it means that the ith vehicle is at tiStopping at the station at that moment;
Figure GDA0002762304940000241
or
Figure GDA0002762304940000242
When it is, it means that the ith vehicle is at tiThe time is not docked at the station as shown in table 12 (enumerate part of the data).
TABLE 12
Figure GDA0002762304940000243
S52: calculating the number of vehicles at the station at each moment, tiNumber of vehicles standing at any time
Figure GDA0002762304940000244
Wherein the content of the first and second substances,
Figure GDA0002762304940000245
respectively arrival time and departure time of the ith vehicle, b(Bi)Is 0. And determining whether vehicles are queued to overflow at the stop, and when the number of vehicles at the stop is larger than the berth number of the stop at the same time, namely b(Bi)When the vehicle is more than b, vehicles are queued to overflow from the stop station; when b is(Bi)At b ≦ b, the stop has no vehicles queued up to overflow as shown in Table 13 (enumerate part of the data).
Watch 13
Figure GDA0002762304940000246
S53: calculating the ith queuing overflow time of the stop station
Figure GDA0002762304940000251
Wherein, b(Bi)Is tiThe number of vehicles at the station at the moment, b is the berth number of the stop station,
Figure GDA0002762304940000252
is 0 second; then calculating the total reduction influence time of the bay docking station section
Figure GDA0002762304940000253
As shown in table 14 (enumerate part of the data).
TABLE 14
Figure GDA0002762304940000254
S6: calculating the reduction influence time of the bearing capacity of the intersection section;
s61: calculating the red light duration of each flow direction phase;
each phase displays a green time of
Figure GDA00027623049400002510
Wherein f is a flow direction type, f is { L, T, R }, L is a left-turn phase, T is a straight-going phase, R is a right-turn phase,
Figure GDA0002762304940000255
effective green time for each flow phase, A, LsRespectively the yellow light duration and the vehicle start lost time, the red light time of each flow direction phase is
Figure GDA0002762304940000256
tcThe cycle duration is shown in table 15.
Watch 15
Figure GDA0002762304940000257
S62: calculating the reduction influence time of the bearing capacity of an intersection section, wherein the reduction influence time of the section in one period is
Figure GDA0002762304940000258
Wherein the content of the first and second substances,
Figure GDA0002762304940000259
red light time of left turn, straight going and right turn phase of the intersection respectively; one statistical period of time is shared
Figure GDA0002762304940000261
A period, wherein t is the time of each statistical period, the total reduction influence time of the intersection section is
Figure GDA0002762304940000262
As shown in table 16.
TABLE 16
Figure GDA0002762304940000263
S7: calculating the reduction influence time of the bearing capacity of the construction section;
s71: a determination is made for each time instant in a statistical period,
Figure GDA0002762304940000264
when the vehicle is in the construction section, the vehicle changes the lane at the upstream of the starting point of the construction section at the moment, and the construction section is still under construction at the moment;
Figure GDA0002762304940000265
at this time, the vehicle has already passed the construction section starting point, and the construction section is cancelled at this time, as shown in table 17 (partial data is listed).
TABLE 17
Figure GDA0002762304940000266
S72: calculating the total reduction influence time of the construction section in a period of time, and adding each construction time if the total reduction influence time is the sum of each construction time
Figure GDA0002762304940000267
The total bearing capacity in the construction section reduces the influence time
Figure GDA0002762304940000268
Adding 1 second, or else adding 0 second, for tkA determination is made at each time in the time period, wherein,
Figure GDA0002762304940000269
the distance between the lane changing position of the vehicle at the upstream of the construction section and the starting point of the section exceeds the starting point of the construction section and takes a negative value,
Figure GDA00027623049400002610
as shown in table 18 (listing partial data), the initial value of (a) is 0 seconds.
Watch 18
Figure GDA0002762304940000271
S8: calculating the reduction influence time of the bearing capacity of the general section, in particular, tkIn the time interval, the total reduction influence time of the bearing capacity of the general section is
Figure GDA0002762304940000272
S9: determining reduced sections of the road bearing capacity under different probabilities;
s91: putting the total influence time of each section into a time section;
dividing time sections by taking 60s as a time interval, wherein each time section is [0,60], (60,120],. the total number of the time sections is 15;
when there are 80 total reduction effects per segmentWorkshop
Figure GDA0002762304940000273
Where m is a segment type, and m ═ { R, B, I, C, O }, where R denotes a roadside station segment, B denotes a bay station segment, I denotes an intersection segment, C denotes a construction segment, and O denotes a general segment, and the total influence time is put into the corresponding time segment, as shown in table 19 (listing partial data).
Watch 19
Figure GDA0002762304940000274
Figure GDA0002762304940000281
S92: determining the highest time section of each section and the ratio thereof;
tkwithin a time period, the total number of the influence time contained in each section in each time section is
Figure GDA0002762304940000282
The maximum value of the total number of influence times included in the time segment of each segment is recorded as
Figure GDA0002762304940000283
The percentage of each segment to the highest time segment is
Figure GDA0002762304940000284
n is the number of investigation periods, as shown in table 20 (listing partial data).
Watch 20
Figure GDA0002762304940000285
Figure GDA0002762304940000291
S93: determining the total occupancy rate of the upstream and downstream of the highest occupancy rate time section;
tkin the time interval, the total number of the influence time contained in the upstream and downstream of each section occupying the highest time section is recorded as
Figure GDA0002762304940000292
When the ith time zone ((i-1) t)1,it1]Upstream of the time segment with the highest proportion, i.e. (i-1) t1≥tM2When the temperature of the water is higher than the set temperature,
Figure GDA0002762304940000293
Figure GDA0002762304940000294
is 0; (i-1) t1＜tM2When the temperature of the water is higher than the set temperature,
Figure GDA0002762304940000295
Figure GDA0002762304940000296
is 0; the total occupancy rates of the upper and lower streams of the highest occupancy rate time segment are respectively
Figure GDA0002762304940000297
As shown in table 21 (enumerate some data).
TABLE 21
Figure GDA0002762304940000298
S94: determining the reduced bearing capacity interval of each section;
tkin the time interval, when the acceptable reduction probability is set to be p%, the time interval from the highest time segment of the percentage
Figure GDA0002762304940000299
Middle value of time section ofIs marked as B(mk)The upper limit value of the reduced load-bearing capacity interval of the section is
Figure GDA0002762304940000301
Downstream of the highest time segment of the occupancy
Figure GDA0002762304940000302
Has a middle value of A(mk)The lower limit value of the reduced load-bearing capacity interval of the segment is
Figure GDA0002762304940000303
Then tkWithin a time interval, the reduction interval of the bearing capacity of each section is
Figure GDA0002762304940000304
As shown in table 22 (enumerate part of the data).
TABLE 22
Figure GDA0002762304940000305
S95: determining a road bearing capacity reduction interval;
tkwithin a time interval, the reduction interval of the bearing capacity of each section is reduced to the inclusion range of each section respectively to obtain tkThe bearing capacity of the road in the time interval is reduced.

Claims (1)

1. A bearing capacity probability reduction characterization method for an intelligent network connection road is characterized by comprising the following steps:
1) dividing intelligent network connection road sections;
dividing the intelligent network road into five types, namely a roadside stop station section, a bay stop station section, an intersection section, a construction section and a general section, and dividing the up-down line of a bidirectional road respectively;
2) constructing an intelligent network road traffic characteristic database;
collecting vehicle traffic data in real time during working day peak hours, every timet minutes as a statistical period, denoted tkPeriod of time, n total t surveyskIn time intervals, an intelligent network connection road vehicle traffic characteristic database is constructed, and specifically comprises traffic characteristic data sets of a roadside stop, a bay stop section, an intersection section, a construction section and a general section;
3) determining the range of each section of the intelligent network connection road;
analyzing the data of each traffic characteristic data set, and determining the inclusion ranges of a roadside stop station section, a bay stop station section and a construction section according to the positions of vehicles at the lane change points on the upstream and the downstream of the section; determining the intersection section containing range according to the existence or nonexistence of the transition section and the transition section range of the intersection; the other sections belong to the common section;
4) calculating the reduction influence time of the bearing capacity of each section;
calculating the reduction influence time of the roadside stop station section according to the time of the vehicle arriving and leaving the roadside stop station;
calculating the discounted influence time of the bay docking station section according to the arrival and departure times of the vehicles at and from the bay docking station and the berth number of the bay docking station;
calculating the reduction influence time of the intersection section according to the signal timing scheme of the intersection;
calculating the reduction influence time of the construction section according to the construction time of the construction section;
calculating the reduction influence time of the general section according to the vehicle running characteristics of the general section;
5) determining reduced sections of the road bearing capacity under different probabilities;
in each statistical time period, placing the calculated total influence time of the reduction of the bearing capacity of each section in different time sections, drawing a time section proportion graph, determining the time section with the highest proportion of each section and the proportion of the time section, determining the upper limit value and the lower limit value of the reduction interval of the bearing capacity of each section under different probabilities according to the proportion of the highest proportion and the proportion of the upper and lower streams of the highest proportion, reducing the road section range contained in each section, and finally obtaining the reduction interval of the bearing capacity of the road;
the step 2) is used for constructing an intelligent network connection road traffic characteristic database, specifically,
2-1) constructing a road side stop station section traffic characteristic data set
Traffic characteristic data set of roadside stop station sections
Figure FDA0002951449750000021
Wherein the content of the first and second substances,
Figure FDA0002951449750000022
respectively the arrival time and the departure time of the ith vehicle at the roadside stop,
Figure FDA0002951449750000023
respectively the distance between the upstream and downstream lane changing positions of the vehicle at the roadside stop and the starting point of the section;
2-2) constructing a traffic characteristic data set of the bay stop section
Bay docking station sector traffic characteristic data set
Figure FDA0002951449750000024
Wherein the content of the first and second substances,
Figure FDA0002951449750000025
the arrival time and the departure time of the ith vehicle at the bay stop station are respectively,
Figure FDA0002951449750000026
Figure FDA0002951449750000027
respectively the distance between the lane change position of the vehicle on the upstream and downstream of the bay stop and the starting point of the section, and b is the berth number of the bay stop;
2-3) constructing a traffic characteristic data set of the intersection section
Intersection section traffic characteristic data set
Figure FDA0002951449750000028
Wherein, tcThe time length of the signal period at the intersection is,
Figure FDA0002951449750000029
the effective green time of the left turn, the straight going and the right turn phase respectively,
Figure FDA00029514497500000210
the distance between the starting point of the transition section of the intersection entrance lane and the stop line;
2-4) constructing a traffic characteristic data set of a construction section
Traffic characteristic data set of construction section
Figure FDA0002951449750000031
Wherein the content of the first and second substances,
Figure FDA0002951449750000032
respectively the distance between the lane changing position of the vehicle at the upstream and the downstream of the construction area and the starting point of the construction section;
2-5) constructing general section traffic characteristic data set
The occurrence of accidents on the general section is random, and the data set is not required to be constructed;
determining the range of each section of the intelligent network connection road in the step 3), specifically,
3-1) determining the section containing range of the roadside docking station
tkIn the time interval, the maximum distance between the lane changing position of the vehicle at the upstream and downstream of the section and the starting point of the section is found
Figure FDA0002951449750000033
Minimum value
Figure FDA0002951449750000034
Calculating the distance between the middle point of the lane changing position of the vehicle at the upstream and the downstream and the starting point of the section as
Figure FDA0002951449750000035
Figure FDA0002951449750000036
The roadside docking station includes a range of
Figure FDA0002951449750000037
3-2) determining bay docking station sector containment scope
tkIn the time interval, the maximum distance between the lane changing position of the vehicle at the upstream and downstream of the section and the starting point of the section is found
Figure FDA0002951449750000038
Minimum value
Figure FDA0002951449750000039
Calculating the distance between the middle point of the lane changing position of the vehicle at the upstream and the downstream and the starting point of the section as
Figure FDA00029514497500000310
Figure FDA00029514497500000311
The bay docking station includes a range of
Figure FDA00029514497500000312
3-3) determining the intersection section containing range
If the intersection entrance lane contains the transition section, the intersection contains the range of
Figure FDA00029514497500000313
Wherein the content of the first and second substances,
Figure FDA00029514497500000314
the distance between the starting point of the gradual change section and the stop line; if the gradual change section is not included, the intersection section includesRanges from the stop line to the upstream 100m section;
3-4) determining the construction section containing range
tkIn the time interval, the maximum distance between the lane changing position of the vehicle at the upstream and downstream of the section and the starting point of the section is found
Figure FDA0002951449750000041
Minimum value
Figure FDA0002951449750000042
Calculating the distance between the middle point of the lane changing position of the vehicle at the upstream and the downstream and the starting point of the section as
Figure FDA0002951449750000043
Figure FDA0002951449750000044
The construction section includes a range of
Figure FDA0002951449750000045
3-5) determining the general segment containing range
The sections between the sections belong to a common section;
in the step 4), the time for reducing the influence of the bearing capacity of the road side stop station section is calculated, specifically,
4-1a) converting arrival and departure times of vehicles
Converting arrival and departure times of vehicles in seconds, i.e. t(Ri)＝H(Ri)×3600+M(Ri)×60+S(Ri)Wherein, in the step (A),
Figure FDA0002951449750000046
Figure FDA0002951449750000047
respectively the arrival time and the departure time of the ith vehicle at the roadside stop, H(Ri)、M(Ri)、S(Ri)Respectively the time, minute and second of each conversion time;
4-2a) determining whether the vehicle is parked at the station
Figure FDA0002951449750000048
When the ith vehicle stops at the stop;
Figure FDA0002951449750000049
when the ith vehicle does not stop at the stop;
4-3a) calculating the time of impact on reducing the bearing capacity of the roadside station sections
tkIn the time interval, the bearing capacity of the ith vehicle of the roadside station reduces the influence time to
Figure FDA00029514497500000410
Wherein the content of the first and second substances,
Figure FDA00029514497500000411
respectively the arrival time and the departure time of the ith vehicle at the roadside stop; then tkThe total reduction influence time of the section of the time period is
Figure FDA00029514497500000412
Wherein VRThe total number of vehicles reaching the roadside station stop within the statistical time period;
in the step 4), the time for reducing the bearing capacity of the bay docking station section is calculated, specifically,
4-1b) converting arrival time and departure time of a vehicle
Converting each time in the arrival and departure times and the statistical period of the vehicle in seconds, i.e. t(Bi)＝H(Bi)×3600+M(Bi)×60+S(Bi)Wherein, in the step (A),
Figure FDA0002951449750000051
Figure FDA0002951449750000052
the arrival time and departure time t of the ith vehicle at the bay stop stationiFor each time instant in the statistical period, H(Bi)、M(Bi)、S(Bi)Respectively the time, minute and second of each conversion time;
4-2b) determining whether the vehicle is standing at each moment
Will tkEach time of the time interval is compared with the arrival time and the departure time of the vehicle,
Figure FDA0002951449750000053
when it is, it means that the ith vehicle is at tiStopping at the station at that moment;
Figure FDA0002951449750000054
or
Figure FDA0002951449750000055
When it is, it means that the ith vehicle is at tiNo stop at the station at any moment;
4-3b) calculating the number of vehicles standing at each moment
tiNumber of vehicles standing at any time
Figure FDA0002951449750000056
Wherein the content of the first and second substances,
Figure FDA0002951449750000057
respectively arrival time and departure time of the ith vehicle, b(Bi)Is 0;
4-4b) determining whether the parking station has vehicle queue overflow
When the number of vehicles at the stop station is larger than the berth number of the stop station at the same time, namely b(Bi)>b, vehicles are queued to overflow from the stop station; when b is(Bi)When b is less than or equal to b, no vehicles are queued to overflow at the stop station;
4-5b) calculating the overflow time of each queue of the stop
tkIn the time interval, the ith queuing overflow time of the stop station
Figure FDA0002951449750000058
Wherein, b(Bi)Is tiThe number of vehicles at the station at the moment, b is the berth number of the stop station,
Figure FDA0002951449750000059
is 0 second;
4-6b) calculating the bay docking station section discount influence time
tkThe total reduction in the bay docking station sector over the time period has an impact on time of
Figure FDA0002951449750000061
In the step 4), the reduction influence time of the bearing capacity of the intersection section is calculated, specifically,
4-1c) calculating the red light duration of each flow direction phase
Each phase displays a green time of
Figure FDA0002951449750000062
Wherein f is a flow direction type, f is { L, T, R }, L is a left-turn phase, T is a straight-going phase, R is a right-turn phase,
Figure FDA0002951449750000063
effective green time for each flow phase, A, LsRespectively the yellow light duration and the vehicle start lost time, the red light time of each flow direction phase is
Figure FDA0002951449750000064
tcIs the cycle duration;
4-2c) calculating the reduction influence time of the bearing capacity of the intersection section
tkWithin a time interval, the reduction influence time of the section in one cycle is
Figure FDA0002951449750000065
Wherein the content of the first and second substances,
Figure FDA0002951449750000066
red light time of left turn, straight going and right turn phase of the intersection respectively; t is tkTime sharing
Figure FDA0002951449750000067
A period, wherein t is the time of each statistical period, the total reduction influence time of the intersection section is
Figure FDA0002951449750000068
In the step 4), the time for reducing the influence of the bearing capacity of the construction section is calculated, specifically,
4-1d) judging whether the construction section is still under construction
For tkA determination is made at each time in the time period,
Figure FDA0002951449750000069
when the vehicle is in the construction section, the vehicle changes the lane at the upstream of the starting point of the construction section at the moment, and the construction section is still under construction at the moment;
Figure FDA00029514497500000610
if so, indicating that the vehicle has driven past the starting point of the construction section at the moment, and indicating that the construction of the construction section at the moment is cancelled;
4-2d) calculating the reduction influence time of the bearing capacity of the construction section
tkWithin a time interval, the total reduction influence time of the construction section is the sum of each construction time, if the time is
Figure FDA00029514497500000611
The total bearing capacity in the construction section reduces the influence time
Figure FDA00029514497500000612
Adding 1 second, or else adding 0 second, for tkA determination is made at each time in the time period, wherein,
Figure FDA00029514497500000613
the distance between the lane changing position of the vehicle at the upstream of the construction section and the starting point of the section exceeds the starting point of the construction section and takes a negative value,
Figure FDA0002951449750000071
is 0 second;
in the step 4), the time for reducing the influence of the bearing capacity of the general section is calculated, specifically,
tkin the time interval, the total reduction influence time of the bearing capacity of the general section is
Figure FDA0002951449750000072
In the step 5), the reduced road bearing capacity intervals under different probabilities are determined, specifically,
5-1) putting the total influence time of each section into a time section
With t1Dividing the time interval into time sections, wherein t is more than or equal to 01T is less than or equal to t, and each time zone is [0, t%1]，(t1,2t1],., in total
Figure FDA0002951449750000073
A time section;
tkwithin a time interval, each section has n total reducing influence time
Figure FDA0002951449750000074
Wherein m is a section type, and m is { R, B, I, C, O }, wherein R represents a roadside stop section, B represents a bay stop section, I represents an intersection section, C represents a construction section, O represents a general section, and the total influence time is put into corresponding timeIn each section, the ith time section of each section contains the total number of the influence time
Figure FDA0002951449750000075
5-2) determining the highest time section of each section and the ratio thereof
tkIn the time interval, the maximum value of the total influence time number contained in the time section of each section is recorded as
Figure FDA0002951449750000076
The percentage of each segment to the highest time segment is
Figure FDA0002951449750000077
n is the number of investigation periods;
5-3) determining the total occupation ratio of the upper and the lower parts of the highest time section of the occupation ratio
tkIn the time interval, the total number of the influence time contained in the upstream and downstream of each section occupying the highest time section is recorded as
Figure FDA0002951449750000078
When the ith time zone ((i-1) t)1,it1]Upstream of the time segment with the highest proportion, i.e. (i-1) t1≥tM2When the temperature of the water is higher than the set temperature,
Figure FDA0002951449750000079
Figure FDA00029514497500000710
is 0; (i-1) t1<tM2When the temperature of the water is higher than the set temperature,
Figure FDA00029514497500000711
Figure FDA00029514497500000712
is 0; when the occupation ratio is highestThe total ratio of the upstream and downstream of the intermediate section is
Figure FDA0002951449750000081
5-4) determining the reduced bearing capacity interval of each section
tkIn the time interval, when the acceptable reduction probability is set to be p%, the time interval from the highest time segment of the percentage
Figure FDA0002951449750000082
Has a middle value of B(mk)The upper limit value of the reduced load-bearing capacity interval of the section is
Figure FDA0002951449750000083
Downstream of the highest time segment of the occupancy
Figure FDA0002951449750000084
Has a middle value of A(mk)The lower limit value of the reduced load-bearing capacity interval of the segment is
Figure FDA0002951449750000085
Then tkWithin a time interval, the reduction interval of the bearing capacity of each section is
Figure FDA0002951449750000086
5-5) determining the section with reduced road bearing capacity
tkWithin a time interval, the reduction interval of the bearing capacity of each section is reduced to the inclusion range of each section respectively to obtain tkThe bearing capacity of the road in the time interval is reduced.
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