CN114202923B - Urban road traffic jam space-time distribution comprehensive index evaluation method - Google Patents
Urban road traffic jam space-time distribution comprehensive index evaluation method Download PDFInfo
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- G—PHYSICS
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- G08G—TRAFFIC CONTROL SYSTEMS
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- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
Abstract
The invention relates to the technical field of road traffic evaluation, and particularly discloses an urban road traffic jam space-time distribution comprehensive index evaluation method, which comprises the following steps: calculating the average speed of the road section according to the satellite navigation data information acquired at every unit time; calculating congestion mileage of different road types in a road network in unit time, and acquiring the congestion mileage of the whole road network in unit time; calculating the early-late jam peak time period of the road network according to the full road network jam mileage in unit time; calculating four-dimensional road network traffic jam space-time distribution evaluation indexes according to the road network early and late jam peak time period and the road type; calculating a normal distribution percentile score of a four-dimensional congestion space-time distribution evaluation index of each city; and calculating the comprehensive index of the space-time distribution of the road traffic jam of the city according to the normal distribution percentile score. The urban road traffic jam space-time distribution comprehensive index evaluation method provided by the invention can realize quantitative evaluation of traffic jam.
Description
Technical Field
The invention relates to the technical field of road traffic evaluation, in particular to a comprehensive index evaluation method for urban road traffic jam space-time distribution.
Background
At present, urban traffic congestion has risen from a traffic problem to a social hotspot problem concerned by people. However, where, when, and how the traffic jam occurs, etc., there is a lack of systematic quantitative assessment and diagnosis, so that the establishment, implementation and assessment of the current traffic jam-alleviating measures, the subjective feeling and experience judgment of the traffic manager are taken as the main points, and no quantitative and measurable mechanism is provided for support. Experience at home and abroad shows that road traffic evaluation is developed on the basis of an intelligent automatic traffic information acquisition and processing technology, so that the road traffic jam condition can be comprehensively and accurately evaluated, the method is a technical basis for traffic management departments to make various policy measures for relieving traffic jam, reasonably arrange infrastructure construction time sequences, perform emergency treatment on major events and the like, and is favorable for improving the scientific and informatization level of traffic operation management.
Therefore, for the practical demand of city slow traffic congestion, it is necessary to establish a set of evaluation index system and comprehensive evaluation method for traffic congestion space-time distribution.
Disclosure of Invention
The invention provides a comprehensive index evaluation method for urban road traffic jam space-time distribution, which solves the problem that the quantitative evaluation of traffic jam cannot be realized in the related technology.
The invention provides a comprehensive index evaluation method for urban road traffic jam space-time distribution, which comprises the following steps:
calculating the average speed of the road section according to the satellite navigation data information acquired at every unit time;
calculating the congestion mileage of different road types in the road network in the unit time according to the average speed of the road sections, acquiring the congestion mileage of the whole road network in unit time;
calculating the early-late jam peak time period of the road network according to the full road network jam mileage in unit time;
calculating a four-dimensional road network traffic jam space-time distribution evaluation index according to the road network early-late jam peak period and the road type;
calculating a normal distribution percentile score of a four-dimensional congestion space-time distribution evaluation index of each city;
and calculating the road traffic jam space-time distribution comprehensive index of each city according to the normal distribution percentile score of the four-dimensional jam space-time distribution evaluation index of each city.
Further, the air conditioner is provided with a fan, the step of calculating the average speed of the road section according to the satellite navigation data information acquired at every unit time includes:
satellite navigation data information is acquired every unit time, the satellite navigation data information comprises road section length and type and road section speed limit in road section basic data information;
and calculating the average speed of the road section in unit time according to the satellite navigation data information.
Further, the calculating the average speed of the road section in unit time according to the satellite navigation data information includes:
dividing the whole day into a plurality of time intervals according to unit time;
for obtaining drive-in and drive-out of each section of road at each time interval the number of vehicles and the travel time of each vehicle when passing;
and calculating the average speed of the road section in unit time according to the length of the road section, the number of vehicles entering and leaving each road section in each time period and the travel time of each vehicle passing.
Further, the calculating congestion mileage of different road types in the road network in the unit time according to the average speed of the road segments and acquiring the congestion mileage of the whole road network in the unit time includes:
determining according to the average speed of the road section congestion state parameters of the road section in unit time;
according to the road section congestion state parameter in the unit time period calculating congestion mileage of different road types in unit time;
and summing the congestion mileage of different road types in the unit time to obtain the congestion mileage of the whole network in the unit time.
Further, the calculating the road network early-late jam peak time period according to the full road network jam mileage in the unit time includes:
carrying out sliding average on the full-road-network congestion mileage within continuous preset time according to the full-road-network congestion mileage within unit time to obtain a sliding average value within each continuous preset time;
and taking the continuous preset time with the maximum sliding average value in 0-12 points as the early peak congestion time, and taking the continuous preset time with the maximum sliding average value in 12-24 points as the late peak congestion time.
Further, the calculating of the four-dimensional road network traffic jam space-time distribution evaluation index according to the road network early-late jam peak time period and the road type includes:
calculating a congestion mileage ratio according to a ratio of the mileage of a backbone road subjected to congestion all day long to the length of the backbone road, wherein the backbone road comprises an express way and a trunk road;
calculating the congestion deviation rate of the backbone road according to the early and late congestion peak periods of the road network;
calculating peak congestion concentration according to the ratio of the total amount of congestion space-time of the congestion peak of the road network in the morning and at night to the total amount of congestion space-time of the road network all day;
and calculating the half-life period of the congestion according to the difference value of the half-decay time of the congestion mileage and the peak time of the congestion mileage all day.
Further, the calculating of the congestion deviation rate of the backbone road according to the congestion peak time of the road network at morning and evening includes:
calculating the congestion mileage ratio of the backbone road in the early-late peak period according to the obtained road network early congestion peak starting time and late congestion peak starting time;
carrying out average calculation according to the congestion mileage ratio of the backbone road in the peak hours of morning and evening to obtain the congestion mileage ratio of the peak backbone road;
calculating the congestion mileage ratio of the whole road network in the morning and evening peak periods according to the obtained early congestion peak starting time and the late congestion peak starting time of the road network;
carrying out average calculation according to the full-road network congestion mileage ratio in the peak time periods in the morning and evening to obtain the peak full-road network congestion mileage ratio;
calculating the difference value of the congestion mileage ratio of the peak backbone road and the congestion mileage ratio of the peak whole road network;
and calculating the congestion deviation rate of the backbone road according to the ratio of the difference to the congestion mileage ratio of the peak whole road network.
Further, the calculating the peak congestion concentration according to the ratio of the congestion space-time total amount of the congestion peak of the road network at the morning and at the evening to the congestion space-time total amount of the road network all day includes:
calculating the total amount of the congestion space-time of the whole road network in the morning and evening peak periods according to the obtained early congestion peak starting time and the late congestion peak starting time of the road network;
obtaining the total amount of congestion space-time in the whole day by converting the congestion mileage of the whole road network in unit time;
and obtaining the peak congestion concentration according to the ratio of the total amount of the whole road network congestion space-time in the peak hours of morning and evening to the total amount of the whole day congestion space-time.
Further, the calculating the congestion half-life period according to the difference between the congestion mileage half-decay time and the congestion mileage peak time in the whole day includes:
taking the maximum value of the congestion mileage of the whole road network in the whole day as the peak value of the congestion mileage in the whole day;
taking the starting time of the time period corresponding to the full-day congestion mileage peak value as the full-day congestion mileage peak value time;
sequentially searching each time interval after the peak value moment of the full-day jammed mileage, and judging whether the full-road network jammed mileage in the corresponding time interval is more than half of the full-day jammed mileage peak value;
if yes, continuing to search the next time interval;
if not, stopping searching, and taking the corresponding time interval as the half-decay time of the congestion mileage;
and calculating the difference value between the congestion mileage half-decay time and the congestion mileage peak value time of the whole day to obtain the congestion half-life.
Further, the calculating of the normal distribution percentile score of the four-dimensional congestion space-time distribution evaluation index of each city includes:
respectively calculating normal distribution standardized values of the congestion mileage ratio, the congestion deviation rate, the peak congestion concentration degree and the congestion half-life;
calculating a corresponding percentile score according to the normal distribution normalized value of the congestion mileage ratio, calculating a corresponding percentile score according to the normal distribution normalized value of the congestion deviation rate, calculating a corresponding percentile score according to the normal distribution normalized value of the peak congestion aggregation degree, and calculating a corresponding percentile score according to the normal distribution normalized value of the congestion half-life.
The urban road traffic jam space-time distribution comprehensive index evaluation method provided by the invention can focus on the urban traffic jam road section in a targeted manner, and the urban traffic running condition is evaluated in a multidimensional quantitative manner by taking the jam space-time distribution as an evaluation object; meanwhile, road types and peak time characteristics are integrated in the evaluation process, the congestion condition of a skeleton road formed by an urban expressway and a trunk road and the congestion aggregation and dissipation condition in the peak time are evaluated quantitatively, and accurate support can be provided for traffic management departments to make congestion relieving measures. In addition, the actual value of the multidimensional index is converted into a normal distribution percentile score, and index values with different dimensions and magnitude levels are uniformly converted into scores in a normal distribution range of [50,100], so that the transverse comparability and the public legibility of the evaluation result are greatly improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a flow chart of the urban road traffic jam space-time distribution comprehensive index evaluation method provided by the invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
In order to make those skilled in the art better understand the technical solution of the present invention, the technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged under appropriate circumstances in order to facilitate the description of the embodiments of the invention herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In this embodiment, a method for evaluating an urban road traffic jam space-time distribution comprehensive index is provided, and fig. 1 is a flowchart of the method for evaluating an urban road traffic jam space-time distribution comprehensive index provided according to the embodiment of the present invention, as shown in fig. 1, including:
s110, calculating the average speed of the road section according to the satellite navigation data information acquired at every unit time;
in the embodiment of the present invention, the method may specifically include:
acquiring satellite navigation data information every unit time, wherein the satellite navigation data information comprises road section length and type and road section speed limit in road section basic data information;
and calculating the average speed of the road section in unit time according to the satellite navigation data information.
It should be understood that the unit time can be set as required, for example, the unit time is set to be 15 minutes, and the satellite navigation data information is acquired every 15 minutes.
It should be noted that the satellite navigation data information specifically includes road segment basic data, specifically includes length and type
Speed limit for road section
Dividing a specified urban road network into n road sections by taking the center of an intersection or the upper and lower ramps of the express way as a dividing section, further dividing the road sections into four types of express way, main road, secondary road and branch road according to the road types, and recording the number n of the road sections of different road types k K = A, B, C, D, record the link length and type of link i
Speed limit of road section
Wherein k = A represents that the road type is an expressway, k = B represents that the road type is a main road, k = C represents that the road type is a secondary road, k = D represents that the road type is a branch road, and n = n k＝A +n k＝B +n k＝C +n k＝D 。
In the embodiment of the present invention, the Satellite Navigation data information may specifically be data sent by a GNSS (Global Navigation Satellite System) of a vehicle and/or a mobile phone. That is, the vehicle and/or the mobile phone transmits the satellite navigation data information once every unit time.
Specifically, the calculating the average speed of the road section in unit time according to the satellite navigation data information includes:
dividing the whole day into a plurality of time intervals according to unit time;
acquiring the number of vehicles entering and leaving each road section in each time period and the travel time of each vehicle when passing;
and calculating the average speed of the road section in unit time according to the length of the road section, the number of vehicles entering and leaving each road section in each time period and the travel time of each vehicle passing.
In the present embodiment, the unit time is still 15 minutes as an example.
Dividing the whole day into 96 time periods at intervals of 15 minutes; for a vehicle using a specified in-vehicle device software or cell phone software, acquiring the number m of vehicles entering and leaving the road section i in the time period j through GNSS positioning information ij And the travel time t of each vehicle passing ijh Further calculating to obtain the average speed of the road section
The calculation formula is as follows:
wherein the content of the first and second substances,
representing the average speed, m, of a road segment i of road type k over a time period j ij Representing the number of vehicles entering and leaving the section i during the time period j;
a link length indicating a link i of a road type k; t is t ijh Representing the travel time of the h-th vehicle that link i passes within time period j.
S120, calculating the congestion mileage of different road types in the road network in the unit time according to the average speed of the road sections, acquiring the congestion mileage of the whole road network in unit time;
the embodiment of the present invention may specifically include:
determining according to the average speed of the road section congestion state parameters of the road section in unit time;
calculating congestion mileage of different road types in unit time according to the road congestion state parameters in the unit time period;
the congestion mileage of different road types in the unit time is measured and summing and calculating to obtain the congestion mileage of the whole network in unit time.
Further, determining a congestion state parameter of the road section in unit time according to the average speed of the road section comprises the following steps:
as the road section average velocity
Speed limit less than road section
When the traffic is in the congestion state, the road section is judged to be in the congestion state, and the traffic is controlled to be in the congestion state
Is composed of 1; otherwise, judging the road section to be in a normal operation state, and making
Is 0, the calculation formula is:
wherein the content of the first and second substances,
representing the congestion state parameter of a road section i with the road type k in a time period j;
represents the average speed of the road section i with the road type k in the time period j;
a link speed limit for link i is indicated.
In the embodiment of the invention, the congestion mileage of different road types in the road network is calculated by taking 15 minutes as unit time.
Firstly, calculating congestion mileage of different road types at 15-minute level
Specifically, the total congestion mileage of each of the express way, the main road, the secondary main road and the branch road in the road network in the time interval j is calculated respectively
The calculation formula is as follows:
wherein the content of the first and second substances,
representing the total congestion mileage of the road type k in the time period j; n is k Representing the number of road segments with the road type k;
a link length indicating a link i of a road type k;
and representing the congestion status parameter of the road section i with the road type k in the time period j.
Secondly, calculating 15-minute-level full-road network congestion mileage M j 。
Specifically, the total congestion mileage of each of the expressway, the main road, the secondary main road and the branch road in the road network is summed to obtain the congestion mileage M of the whole road network j The calculation formula is as follows:
wherein M is j Indicating full network congestion during time period jMileage is blocked;
representing the total congestion mileage of the express way in the time period j;
representing the total congestion mileage of the trunk road in the time period j;
representing the total congestion mileage of the secondary trunk in a time period j;
representing the total congestion mileage of the branch over time period j.
S130, calculating the early-late jam peak time period of the road network according to the full road network jam mileage in unit time;
in the embodiment of the present invention, the method may specifically include:
carrying out sliding average on the full-road-network congestion mileage within continuous preset time according to the full-road-network congestion mileage within unit time to obtain a sliding average value within each continuous preset time;
and taking the continuous preset time with the maximum sliding average value in 0-12 points as the early peak congestion time, and taking the continuous preset time with the maximum sliding average value in 12-24 points as the late peak congestion time.
Still taking the unit time as an example of 15 minutes, the continuous preset time as an example of 60 minutes.
According to the 15-minute-level full-road network congestion mileage value, performing sliding average on the full-road network congestion mileage of 60 minutes continuously, and respectively taking the 60 minutes with the largest sliding average value at 0-12 points and 12-24 points to define the earliest congested peak hour and the latest congested peak hour of the whole day, and the earliest congested peak hour starting time interval P is the latest congested peak hour starting time interval P AM And the latest maximum congestion peak hour starting period P PM The calculation formula of (2) is as follows:
P AM ＝y，
P PM ＝y，
wherein the content of the first and second substances,
representing the average value of the congestion mileage of the whole network in 60 continuous minutes with the starting time period of j in the last day;
represents the average value of the congestion mileage of the whole network in the next half day within continuous 60 minutes with the starting time period of j.
S140, calculating a four-dimensional road network traffic jam space-time distribution evaluation index according to the road network early-late jam peak time period and the road type;
in the embodiment of the present invention, the method specifically includes:
calculating a congestion mileage ratio according to a ratio of the mileage of a backbone road subjected to congestion all day long to the length of the backbone road, wherein the backbone road comprises an express way and a trunk road;
calculating the congestion deviation rate of the backbone road according to the congestion peak time of the road network in the morning and the evening;
calculating peak congestion concentration according to the ratio of the congestion space-time total amount of the congestion peak of the road network in the morning and evening to the congestion space-time total amount of the road network all day;
and calculating the half-life period of the congestion according to the difference value of the half-decay time of the congestion mileage and the peak time of the congestion mileage all day.
Further specifically, calculating the congestion mileage ratio according to the ratio of the mileage of the backbone road with congestion occurring throughout the day to the length of the backbone road, includes:
(1) Calculating congestion state parameters of all road sections all day
When a road segment is overcrowded all day long,
is 1, otherwise is 0; the calculation formula is as follows:
wherein the content of the first and second substances,
an all-day congestion state parameter representing a road segment i with a road type k;
and a congestion status parameter representing a road segment i of road type k within a time period j.
(2) Calculating the mileage of the backbone road with congestion all day long
Wherein, the backbone road is a speedway plus a main road; the calculation formula is as follows:
wherein the content of the first and second substances,
the backbone road mileage which represents that the road type is the full-day occurrence of congestion of the backbone road (express way and main road);
representing a roadThe types are the section lengths of the sections i of the express way and the main road respectively;
and the all-day congestion state parameter represents road sections i with the road types distributed as express roads and main roads.
(3) Calculating congestion mileage proportion I 1 The calculation formula is as follows:
specifically, the calculating of the congestion deviation rate of the backbone road according to the congestion peak periods of the road network in the morning and the evening includes:
(a1) And calculating the congestion mileage ratio of the backbone road in the early and late peak periods according to the obtained early congestion peak starting time and the late congestion peak starting time of the road network.
(b1) And carrying out average calculation according to the congestion mileage ratio of the backbone road in the peak hours of the morning and evening to obtain the congestion mileage ratio of the peak backbone road.
In the embodiment of the invention, the congestion mileage ratio of the peak backbone road (the express way and the main road) is calculated
According to the obtained early-most-congested peak hour starting time P of the road network AM Late-most congested peak hour start time P PM Calculating the congestion mileage ratio of the backbone road in the early and late peak hours, and further calculating the average acquired congestion mileage ratio of the peak backbone road, wherein the calculation formula is as follows:
wherein the content of the first and second substances,
respectively representing the average congestion mileage of the backbone roads (express roads and main roads) in the morning and evening peak hours;
and the congestion mileage ratio of the backbone roads (the express road and the main road) in the early peak hour and the late peak hour respectively.
(c1) Calculating the congestion mileage ratio of the whole road network in the morning and evening peak periods according to the obtained early congestion peak starting time and the late congestion peak starting time of the road network;
(d1) And carrying out average calculation according to the full-road network congestion mileage ratio in the peak time periods in the morning and evening to obtain the peak full-road network congestion mileage ratio.
In the embodiment of the invention, the congestion mileage ratio R of the peak whole road network is calculated H . According to the obtained road network early-congestion peak hour starting time P AM Late-most congested peak hour start time P PM Calculating the congestion mileage ratio of the whole network in the early and late peak hours, and further calculating the average acquired congestion mileage ratio of the peak whole network, wherein the calculation formula is as follows:
R H ＝(R AM +R PM )/2，
wherein R is AM 、R PM Respectively representing the congestion mileage ratio of the whole network in the morning and evening peak hours.
(e1) Calculating the difference value of the congestion mileage ratio of the peak backbone road and the congestion mileage ratio of the peak whole road network;
(f1) And calculating the congestion deviation rate of the backbone road according to the ratio of the difference to the congestion mileage ratio of the peak whole road network.
In the embodiment of the invention, the congestion deviation rate I of the backbone roads (the express roads and the main roads) is calculated 2 The calculation formula is as follows:
more specifically, the calculating of the peak congestion concentration according to the ratio of the total congestion time-space amount of the peak congestion time-space of the road network congestion in the morning and at night to the total congestion time-space amount of the road network all day includes:
(a2) And calculating the total amount of the congested space-time of the whole road network in the morning and evening peak periods according to the acquired early congested peak starting time and the acquired late congested peak starting time of the road network.
In the embodiment of the invention, according to the acquired early-most-congested peak hour starting time P of the road network AM Late-most congested peak hour start time P PM Calculating the total amount of the congestion space-time of the whole network in the morning and evening peak hours, and further adding to obtain the total amount of the congestion space-time of the morning and evening peak hours, wherein the calculation formula is as follows:
Q H ＝Q AM +Q PM ，
wherein Q is AM 、Q PM Respectively representing the total amount of the whole network congestion space-time in morning and evening peak hours.
(b2) And converting the congestion mileage of the whole road network in unit time to obtain the total congestion space-time amount in the whole day.
In the embodiment of the invention, the total amount Q of congestion space-time in all days is calculated D . According to the congestion mileage of the whole road network every 15 minutes, the total congestion space-time amount of the whole day is obtained through conversion, and the calculation formula is as follows:
wherein M is j Representing the full-network congestion mileage during time period j.
(c2) And obtaining the peak congestion concentration according to the ratio of the total amount of the full-road network congestion space-time in the peak hours in the morning and evening to the total amount of the full-day congestion space-time.
In the embodiment of the invention, the peak congestion concentration I is calculated 3 The calculation formula is as follows:
I 3 ＝Q H /Q D 。
further specifically, the calculating the congestion half-life period according to the difference between the congestion mileage half-decay time and the congestion mileage peak time on a whole day includes:
(a3) And taking the maximum value of the congestion mileage of the whole road network in the whole day as the peak value of the congestion mileage in the whole day.
In the embodiment of the invention, the congestion mileage peak value M of the whole day is calculated max . Taking the maximum value of the congestion mileage of the whole network within 0-24 points, defining the maximum value as the peak value of the congestion mileage of the whole day, and the calculation formula is as follows:
(b3) And taking the starting time of the time period corresponding to the full-day congestion mileage peak value as the full-day congestion mileage peak value time.
In the embodiments of the present inventionIn the middle, the full-day congestion mileage peak value M max The corresponding time interval starting time is defined as the full-day congestion mileage peak value time T max The calculation formula is as follows:
T max ＝y，M y ＝M max 。
(c3) Sequentially searching each time interval after the peak value moment of the full-day jammed mileage, and judging whether the full-road network jammed mileage in the corresponding time interval is more than half of the full-day jammed mileage peak value;
if yes, continuing to search the next time interval;
if not, stopping searching, and taking the corresponding time interval as the half-decay time of the congestion mileage.
In the embodiment of the invention, the full-day congestion mileage peak time T max Sequentially searching each subsequent time interval, and judging the congestion mileage M of the whole road network in the corresponding time interval j Whether the congestion distance is greater than the full-day congestion distance peak value M max If yes, continuing to search the next time interval; if not, stopping searching, and defining the corresponding time interval as the congestion mileage half-decay time T half The calculation formula is as follows:
(d3) And calculating the difference value between the congestion mileage half-decay time and the congestion mileage peak value time of the whole day to obtain the congestion half-life.
In the embodiment of the invention, the congestion half-life period I is calculated 4 The calculation formula is as follows:
I 4 ＝T half -T max 。
s150, calculating a normal distribution percentile score of the four-dimensional congestion space-time distribution evaluation index of each city;
in the embodiment of the present invention, the method may specifically include:
respectively calculating normal distribution standardized values of the congestion mileage ratio, the congestion deviation rate, the peak congestion concentration degree and the congestion half-life;
calculating a corresponding percentile score according to a normal distribution normalized value of the congestion mileage ratio, calculating a corresponding percentile score according to a normal distribution normalized value of the congestion deviation rate, calculating a corresponding percentile score according to a normal distribution normalized value of the peak congestion concentration, and calculating a corresponding percentile score according to a normal distribution normalized value of the congestion half-life.
It should be understood that a plurality of cities are transversely compared, and a normal distribution percentage score of the four-dimensional congestion space-time distribution evaluation index of each city is calculated.
(a4) Calculating the normalized value of normal distribution of index
The calculation formula is as follows:
wherein the content of the first and second substances,
an actual value representing the g-th congestion space-time distribution evaluation index for the w-th city, g =1,2,3,4; u represents the number of cities;
the average value of all city actual values of the g-th congestion space-time distribution evaluation index is represented; s g The standard deviation of all city actual values of the g-th congestion space-time distribution evaluation index is represented;
represents the g congestion space-time of the w cityA normal distribution normalized value of the distribution evaluation index.
(b4) Calculating the percentage of the index
The calculation formula is as follows:
wherein the content of the first and second substances,
representing the minimum value of all city standard values of the g-th congestion space-time distribution evaluation index;
representing the maximum value of all city standard values of the g-th congestion space-time distribution evaluation index;
and the percentile score represents the g congestion space-time distribution evaluation index of the w city.
And S160, calculating the comprehensive index of the road traffic jam space-time distribution of each city according to the normal distribution percentile score of the four-dimensional jam space-time distribution evaluation index of the city.
In the embodiment of the invention, the comprehensive index CI of the space-time distribution of the road traffic jam of each city is specifically calculated w The calculation formula is as follows:
wherein, CI w And the comprehensive index value of the w-th urban road traffic jam space-time distribution is represented.
In summary, the urban road traffic jam space-time distribution comprehensive index evaluation method provided by the embodiment of the invention can focus on the urban traffic jam road sections in a targeted manner, and take the jam space-time distribution as an evaluation object to evaluate the urban traffic operation condition in a multi-dimensional quantitative manner; meanwhile, road types and peak time characteristics are integrated in the evaluation process, the congestion condition of a skeleton road formed by an urban expressway and a trunk road, and the congestion aggregation and dissipation condition in the peak time are evaluated quantitatively, and accurate support can be provided for traffic management departments to make congestion relieving measures. In addition, the actual value of the multidimensional index is converted into a normal distribution percentile score, and index values with different dimensions and magnitude levels are uniformly converted into scores in a normal distribution range of [50,100], so that the transverse comparability and the public legibility of the evaluation result are greatly improved.
The method for evaluating the comprehensive index of urban road traffic jam space-time distribution is applied to analyze ten typical cities, the actual value and the percentage score of the four-dimensional jam space-time distribution evaluation index, and the comprehensive index of the overall jam space-time distribution of the cities are shown in the following table 1.
TABLE 1 urban road traffic jam space-time distribution comprehensive index evaluation result table
It will be understood that the above embodiments are merely exemplary embodiments taken to illustrate the principles of the present invention, which is not limited thereto. It will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the spirit and scope of the invention, and such modifications and improvements are also considered to be within the scope of the invention.
Claims (5)
1. A comprehensive index evaluation method for urban road traffic jam space-time distribution is characterized by comprising the following steps:
calculating the average speed of the road section according to the satellite navigation data information acquired at every unit time;
calculating congestion mileage of different road types in the road network in the unit time according to the average speed of the road sections, and acquiring the congestion mileage of the whole road network in the unit time;
calculating the early-late jam peak time period of the road network according to the full road network jam mileage in unit time;
calculating four-dimensional road network traffic jam space-time distribution evaluation indexes according to the road network early-late jam peak time period and the road type;
calculating a normal distribution percentile score of a four-dimensional congestion space-time distribution evaluation index of each city;
calculating a road traffic jam space-time distribution comprehensive index of each city according to the normal distribution percentile score of the four-dimensional jam space-time distribution evaluation index of the city;
the four-dimensional road network traffic jam space-time distribution evaluation index calculated according to the road network early-late jam peak time period and the road type comprises the following steps:
calculating a congestion mileage ratio according to the ratio of the mileage of the backbone road which has been congested all day long to the length of the backbone road, wherein the backbone road comprises a speedway and a main road;
calculating the congestion deviation rate of the backbone road according to the early and late congestion peak periods of the road network;
calculating peak congestion concentration according to the ratio of the total amount of congestion space-time of the congestion peak of the road network in the morning and at night to the total amount of congestion space-time of the road network all day;
calculating the half-life period of the congestion according to the difference value of the half-decay time of the congestion mileage and the peak time of the congestion mileage in the whole day;
the method for calculating the congestion deviation rate of the backbone road according to the early and late congestion peak periods of the road network comprises the following steps:
calculating the congestion mileage ratio of the backbone road in the early-late peak period according to the obtained early congestion peak starting time and the obtained late congestion peak starting time of the road network;
carrying out average calculation according to the congestion mileage ratio of the backbone road in the peak hours of morning and evening to obtain the congestion mileage ratio of the peak backbone road;
calculating the congestion mileage ratio of the whole road network in the morning and evening peak periods according to the obtained early congestion peak starting time and the late congestion peak starting time of the road network;
carrying out average calculation according to the full-road network congestion mileage ratio in the peak time periods in the morning and evening to obtain the peak full-road network congestion mileage ratio;
calculating the difference value of the congestion mileage ratio of the peak backbone road and the congestion mileage ratio of the peak whole road network;
calculating the congestion deviation rate of the backbone road according to the ratio of the difference to the congestion mileage ratio of the peak whole road network;
the peak congestion concentration degree is calculated according to the ratio of the congestion space-time total amount of the congestion peak of the road network in the morning and evening to the congestion space-time total amount of the road network all day, and the peak congestion concentration degree comprises the following steps:
calculating the total amount of the congested space-time of the whole road network in the morning and evening peak time periods according to the acquired early congested peak starting time and the acquired late congested peak starting time of the road network;
converting the congestion mileage of the whole road network in unit time to obtain the total congestion space-time amount of the whole day;
obtaining peak congestion concentration according to the ratio of the total amount of the whole road network congestion space-time and the total amount of the whole day congestion space-time in the morning and evening peak periods;
the calculating of the congestion half-life period according to the difference value of the congestion mileage half-decay time and the congestion mileage peak value time in the whole day comprises the following steps:
taking the maximum value of the congestion mileage of the whole road network in the whole day as the peak value of the congestion mileage in the whole day;
taking the starting time of the time period corresponding to the full-day congestion mileage peak value as the full-day congestion mileage peak value time;
sequentially searching each time interval after the peak value moment of the full-day jammed mileage, and judging whether the full-road network jammed mileage in the corresponding time interval is more than half of the full-day jammed mileage peak value;
if yes, continuing to search the next time interval;
if not, stopping searching, and taking the corresponding time interval as the half-decay time of the congestion mileage;
calculating the difference value between the congestion mileage half-decay time and the congestion mileage peak value time of the whole day to obtain the congestion half-life period;
the calculating of the normal distribution percentile score of the four-dimensional congestion space-time distribution evaluation index of each city comprises the following steps:
respectively calculating normal distribution standardized values of the congestion mileage ratio, the congestion deviation rate, the peak congestion concentration degree and the congestion half-life;
calculating a corresponding percentile score according to the normal distribution normalized value of the congestion mileage ratio, calculating a corresponding percentile score according to the normal distribution normalized value of the congestion deviation rate, calculating a corresponding percentile score according to the normal distribution normalized value of the peak congestion aggregation degree, and calculating a corresponding percentile score according to the normal distribution normalized value of the congestion half-life.
2. The method for evaluating the comprehensive index of urban road traffic congestion space-time distribution according to claim 1, wherein the calculating of the average speed of the road section according to the satellite navigation data information acquired every unit time comprises:
acquiring satellite navigation data information every unit time interval, wherein the satellite navigation data information comprises road section length and type and road section speed limit in road section basic data information;
and calculating the average speed of the road section in unit time according to the satellite navigation data information.
3. The method for evaluating the comprehensive index of urban road traffic jam space-time distribution according to claim 2, wherein the calculating the average speed of the road section in unit time according to the satellite navigation data information comprises:
dividing the whole day into a plurality of time intervals according to unit time;
acquiring the number of vehicles entering and leaving each road section in each time period and the travel time of each vehicle when passing;
and calculating the average speed of the road section in unit time according to the length of the road section, the number of vehicles entering and leaving each road section in each time period and the travel time of each vehicle passing.
4. The method for comprehensively evaluating the index of urban road traffic jam space-time distribution according to claim 1, wherein the step of calculating the jam mileage of different road types in the road network in the unit time according to the average speed of the road sections and acquiring the full-road network jam mileage in the unit time comprises the following steps:
determining congestion state parameters of the road section in unit time according to the average speed of the road section;
calculating congestion mileage of different road types in unit time according to the road congestion state parameters in the unit time period;
and summing the congestion mileage of different road types in the unit time to obtain the congestion mileage of the whole network in the unit time.
5. The method for evaluating the comprehensive index of urban road traffic jam space-time distribution according to claim 1, wherein the step of calculating the jam peak time of the road network in the morning and the evening according to the full-road-network jam mileage in unit time comprises the following steps:
carrying out sliding average on the full-network congestion mileage within continuous preset time according to the full-network congestion mileage within unit time to obtain the sliding average value within each continuous preset time;
and taking the continuous preset time with the largest sliding average value at 0 to 12 points as an early congestion peak time period, and taking the continuous preset time with the largest sliding average value at 12 to 24 points as an late congestion peak time period.
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