CN116631192B - Comprehensive management method and system for smart city - Google Patents
Comprehensive management method and system for smart city Download PDFInfo
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- CN116631192B CN116631192B CN202310687472.8A CN202310687472A CN116631192B CN 116631192 B CN116631192 B CN 116631192B CN 202310687472 A CN202310687472 A CN 202310687472A CN 116631192 B CN116631192 B CN 116631192B
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
- G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
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Abstract
The invention discloses a comprehensive management method and system for smart cities, wherein the method comprises the following steps: judging the congestion degree of a first road according to the traffic flow speed and the traffic flow density of the first road; if the first road is judged to be in a congestion state, acquiring the congestion degree of the homodromous road adjacent to the first road; and if the congestion degree of the same-direction road is judged to be smoother than that of the first road, adjusting the traffic light state of a second road behind the first road so as to guide the traffic flow of the second road to the same-direction road. Therefore, when the first road is in a congestion state and the same-direction road is smooth, vehicles on the second road behind are forced to drive to the smooth same-direction road by changing the state of the traffic light, and the congestion condition of the whole traffic road is greatly relieved.
Description
Technical Field
The invention relates to the technical field of smart cities, in particular to a comprehensive management method and system for a smart city.
Background
At present, for the same starting point and the same end point, there are generally a plurality of same-direction roads, and sometimes for the purpose of traveling for traveling efficiency, the same optimal road is generally selected consistently, for example, all roads are traveled, which may cause the condition of highway congestion, while other same-direction roads are idle.
The drainage mode in the prior art generally informs the driver of the road information in front through navigation software to remind the driver of changing lanes, but the driver generally listens to advice, and the reminding effect is poor.
Disclosure of Invention
The embodiment of the invention provides a comprehensive management method and system for smart cities, which have the technical effect of relieving traffic jam pressure.
The invention provides a comprehensive management method of a smart city, which comprises the following steps:
judging the congestion degree of a first road according to the traffic flow speed and the traffic flow density of the first road, wherein the calculation formula of the traffic flow speed and the traffic flow density is as follows:
speed of vehicle flowWherein m represents a first road, sum represents a total vehicle on the first road, v i Represents the ith vehicle, v min Representing the speed of the slowest vehicle, v max Representing the speed of the fastest vehicle;
density of traffic flowWherein L is i Representing the length of the i-th road segment on the first road, sum i Representing the total number of vehicles on the ith road segment, u i The weight representing the i-th road segment gradually decreases as i increases;
if the first road is judged to be in a congestion state, acquiring the congestion degree of the homodromous road adjacent to the first road;
and if the congestion degree of the same-direction road is judged to be smoother than that of the first road, adjusting the traffic light state of a second road behind the first road so as to guide the traffic flow of the second road to the same-direction road.
In an embodiment, the total vehicle and the vehicle speed are obtained by:
acquiring a communication signal of the first road communication equipment;
determining a total vehicle on the first road based on the number of the communication signals, wherein if the distance between the sending positions of the communication signals is within a preset distance range, the communication equipment within the preset distance range is considered to belong to the same vehicle;
the vehicle speed is determined based on the change in the emission position of the communication signal.
In an embodiment, the determining the congestion degree of the first road according to the traffic flow speed and the traffic flow density of the first road is as follows:
degree of congestionWherein w is 1 Weights, w, representing vehicle flow velocity 2 Weight for traffic density;
if the congestion degree Y m Exceeding a first threshold value, and judging that the first road is in a congestion state;
if the congestion degree Y m And judging that the first road is in a non-congestion state when the first road is lower than the first threshold value.
In one embodiment, the weight w of the vehicle flow velocity 1 And the weight w of the traffic density 2 For obtaining through historical data analysis, wherein the weight w of the vehicle flow speed 1 The value is 0.3-0.4, and the weight w of the traffic density is the weight w 2 The value is 0.6-0.7.
In an embodiment, the determining that the congestion level of the same road is smoother than the first road includes:
if the congestion degree Z of the same-direction road m Below the congestion level Y m And judging that the congestion degree of the same-direction road is smoother than that of the first road.
In an embodiment, the traffic light status includes a duration of a traffic light and/or a status of a traffic light.
In an embodiment, the adjusting the traffic light status of the second road located behind the first road includes:
calculating a first passing duration of the first road, setting a traffic light state leading to the first road to be a red light, and adjusting the red light duration to be at least half of the first passing duration so as to limit a vehicle of the second road to drive into the first road.
In an embodiment, the adjusting the traffic light status of the second road located behind the first road includes:
and setting the traffic light state of the same-direction road as a green light.
In an embodiment, a second duration of traffic of the same-direction road is also calculated;
and when the second traffic duration is higher than a set value, setting the traffic light state of the same-direction road as a red light.
Another aspect of the present invention provides a comprehensive management system for a smart city, the system comprising:
the judging module is used for judging the congestion degree of the first road according to the traffic flow speed and the traffic flow density of the first road; the calculation formulas of the traffic flow speed and the traffic flow density are as follows:
speed of vehicle flowWherein m represents a first road, sum represents a total vehicle on the first road, v i Represents the ith vehicle, v min Representing the speed of the slowest vehicle, v max Representing the speed of the fastest vehicle;
density of traffic flowWherein L is i Representing the length of the i-th road segment on the first road, sum i Representing the total number of vehicles on the ith road segment, u i The weight representing the i-th road segment gradually decreases as i increases;
the acquisition module is used for acquiring the congestion degree of the same-direction road adjacent to the first road if the first road is judged to be in a congestion state;
and the adjusting module is used for adjusting the traffic light state of a second road behind the first road if the congestion degree of the same-direction road is judged to be smoother than that of the first road, so as to guide the traffic flow of the second road to the same-direction road.
In the embodiment of the invention, when the first road is in a congestion state and the same-direction road is smooth, the vehicle of the second road behind is forced to drive to the smooth same-direction road by changing the state of the traffic light, so that the congestion condition of the whole traffic road can be greatly relieved.
Drawings
The above, as well as additional purposes, features, and advantages of exemplary embodiments of the present invention will become readily apparent from the following detailed description when read in conjunction with the accompanying drawings. Several embodiments of the present invention are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which:
in the drawings, the same or corresponding reference numerals indicate the same or corresponding parts.
Fig. 1 is a schematic implementation flow chart of a comprehensive management method for a smart city according to an embodiment of the present invention;
fig. 2 is a structural diagram of a comprehensive management system for smart cities according to an embodiment of the present invention.
Detailed Description
In order to make the objects, features and advantages of the present invention more comprehensible, the technical solutions according to the embodiments of the present invention will be clearly described in the following with reference to the accompanying drawings, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, the present invention provides a method for integrated management of smart cities, the method comprising:
step 101, judging the congestion degree of a first road according to the traffic flow speed and the traffic flow density of the first road, wherein the calculation formula of the traffic flow speed and the traffic flow density is as follows:
speed of vehicle flowWherein m represents a first road, sum represents a total vehicle on the first road, v i Represents the ith vehicle, v min Representing the speed of the slowest vehicle, v max Representing the speed of the fastest vehicle;
density of traffic flowWherein L is i Representing the length of the i-th road segment on the first road, sum i Representing the total number of vehicles on the ith road segment, u i The weight representing the i-th road segment gradually decreases as i increases;
102, if the first road is judged to be in a congestion state, acquiring the congestion degree of a same-direction road adjacent to the first road;
and 103, if the congestion degree of the same-direction road is judged to be smoother than that of the first road, adjusting the traffic light state of a second road behind the first road so as to guide the traffic flow of the second road to the same-direction road.
In this embodiment, in step 101, in order to achieve the purpose of diversion in traffic jam, it is necessary to first calculate the traffic speed and the traffic density of the first road, and determine whether diversion is required according to the traffic speed and the traffic density.
The specific formula of the vehicle flow speed is as follows: speed of vehicle flowWherein m represents a first road, sum represents a total vehicle on the first road, v i Represents the ith vehicle, v min Representing the speed of the slowest vehicle, v max Representing the speed of the fastest vehicle, in which formula the average speed of all vehicles is integrated +.> Speed v of slowest vehicle min Vehicle speed v of the highest vehicle max Vehicle speed v of slowest vehicle min Vehicle speed v of the highest vehicle max Has a certain influence on the final result, can truly reflect the congestion condition of the first road, such as the speed v of the highest vehicle in the first road max Soon, it means that there is a clear part of the road in the first road,then the first road may be congested with only a small fraction of the road segments, which means that the road is not truly congested; conversely, for example, the speed v of the lowest vehicle in the first road min Slow, it means that the road is more congested than expected.
Density of traffic flowWherein L is i Representing the length of the i-th road segment on the first road, sum i Representing the total number of vehicles on the ith road segment, u i A weight representing an i-th road segment; in the formula, the first road is divided into a plurality of small road sections, the traffic density of the whole first road is calculated by matching the corresponding weights on the basis of the small road sections, wherein the weights gradually decrease along with the small road sections from front to back, namely, the weight of the forefront road section of the first road is maximum, and the weight of the last road section is minimum.
In step 102, whether the first road is in a congestion state is determined according to the calculated traffic speed and traffic density, if yes, the congestion degree of the same-direction road adjacent to the first road is further obtained, wherein the calculation mode of the congestion degree of the same-direction road is consistent with that of the first road.
In step 103, if it is determined that the congestion degree of the same-direction road is smoother than that of the first road, the traffic light state of the second road behind the first road is adjusted to guide the traffic flow of the second road to the same-direction road.
Therefore, when the first road is in a congestion state and the same-direction road is smooth, vehicles on the second road behind are forced to drive to the smooth same-direction road by changing the state of the traffic light, so that the congestion condition of the whole traffic road can be greatly relieved.
In an embodiment, the total vehicle and the vehicle speed are obtained by:
acquiring a communication signal of the first road communication equipment;
determining a total vehicle on the first road based on the number of the communication signals, wherein if the distance between the sending positions of the communication signals is within a preset distance range, the communication equipment within the preset distance range is considered to belong to the same vehicle;
the vehicle speed is determined based on the change in the emission position of the communication signal.
In this embodiment, the method for obtaining the total vehicle and the vehicle speed in the above formula specifically includes:
and acquiring communication signals of the communication equipment on the first road, wherein the communication equipment comprises a mobile phone and a tablet carried by a driver or a driver, and also comprises vehicle-mounted equipment and the like, the communication signals of the communication equipment can be acquired through a service platform of an operator or a vehicle enterprise, and the total vehicles on the first road are counted according to the number of the communication signals.
However, in many cases, the same vehicle includes a plurality of communication devices, and after the communication signals of the communication devices on the first road are acquired, the position information in the communication signals is further analyzed, and it is determined whether the distance between the position information is within a preset distance range, if so, the communication devices within the preset distance range are considered to belong to the same vehicle, where the preset distance range is set to be the horizontal distance range of the general vehicle.
Because the communication equipment sends the communication signal in real time, when the vehicle moves, an operator or a service platform of a vehicle enterprise can acquire the position change of the vehicle through the communication signal, and the vehicle speed information can be further obtained through the position change.
In an embodiment, the determining the congestion degree of the first road according to the traffic flow speed and the traffic flow density of the first road is as follows:
degree of congestionWherein w is 1 Weights, w, representing vehicle flow velocity 2 Weight for traffic density;
if the congestion degree Y m Exceeding a first threshold value, and judging that the first road is in a congestion state;
if the congestion degree Y m And judging that the first road is in a non-congestion state when the first road is lower than the first threshold value.
In this embodiment, the calculation formula of the congestion degree is:wherein w is 1 Weights, w, representing vehicle flow velocity 2 Is the weight of the traffic density. The formula is provided with weight information, the weight information is configured to display the importance degree of the traffic speed and the traffic density on the road congestion, and generally, the weight w of the traffic density is obtained according to the analysis of historical data, the influence of the traffic density on the road congestion is large 2 The value is 0.6-0.7, and the weight w of the vehicle flow speed 1 The value is 0.3-0.4.
The first threshold value is a fixed value, and the setting thereof may be determined according to the actual situation, and is not particularly limited herein.
In an embodiment, the determining that the congestion level of the same road is smoother than the first road includes:
if the congestion degree Z of the same-direction road m Below the congestion level Y m And judging that the congestion degree of the same-direction road is smoother than that of the first road.
In this embodiment, the specific logic for determining that the congestion degree of the same-direction road is smoother than that of the first road is:
according to the formulaIn view of the above, when the road is in a crowded state, +.>The value is smaller, K m The value is larger, and Y is obtained by matching with the weight m Larger, thereby, when the congestion degree Z of the same road m Below the congestion level Y m And judging that the congestion degree of the same-direction road is smoother than that of the first road.
In an embodiment, the traffic light state includes a duration of a traffic light and/or a state of the traffic light, the duration of the traffic light is specifically a duration of each of a red light, a green light, and a yellow light, and the state of the traffic light is specifically a duration of each of the red light, the green light, and the yellow light.
In an embodiment, the adjusting the traffic light status of the second road located behind the first road includes:
calculating a first passing duration of the first road, setting a traffic light state leading to the first road to be a red light, and adjusting the red light duration to be at least half of the first passing duration so as to limit a vehicle of the second road to drive into the first road.
In this embodiment, the first traffic duration of the first road may be specifically obtained through the road length of the first road and the vehicle speed, when the first road is determined to be crowded, the traffic light state of the second road at the rear needs to be adjusted to be red light, and the duration of the red light is at least half of the first traffic duration, that is, the vehicle of the second road at the rear is restricted to surging into the first road, and the driver can select other roads due to longer waiting of the red light, so as to avoid aggravating road congestion.
In an embodiment, the adjusting the traffic light status of the second road located behind the first road includes:
and setting the traffic light state of the same-direction road as a green light.
In this embodiment, under the condition that the vehicle on the second road is limited to rush into the first road, the traffic light state leading to the same-direction road is set to be green light, so as to guide the vehicle to drive into the relatively smooth same-direction road, and further alleviate road congestion.
In an embodiment, a second duration of traffic of the same-direction road is also calculated;
and when the second traffic duration is higher than a set value, setting the traffic light state of the same-direction road as a red light.
In this embodiment, in the process of guiding the vehicle to drive into the same-direction road, the second traffic duration of the same-direction road is calculated in real time, and when the second traffic duration is higher than a set value, the traffic light state of the same-direction road is set to be red light, so that the vehicle on the first road is limited to continue to drive into the same-direction road, and congestion on the same-direction road is avoided.
Another aspect of the present invention is to provide an integrated management system for smart cities, the system comprising:
a judging module 201, configured to judge a congestion degree of a first road according to a traffic speed and a traffic density of the first road;
the calculation formulas of the traffic flow speed and the traffic flow density are as follows: speed of vehicle flowWherein m represents a first road, sum represents a total vehicle on the first road, v i Represents the ith vehicle, v min Representing the speed of the slowest vehicle, v max Representing the speed of the fastest vehicle;
density of traffic flowWherein L is i Representing the length of the i-th road segment on the first road, sum i Representing a total number of vehicles on the i-th road segment;
an obtaining module 202, configured to obtain a congestion degree of a same-direction road adjacent to the first road if the first road is determined to be in a congestion state;
and the adjusting module 203 is configured to adjust a traffic light state of a second road located behind the first road if it is determined that the congestion degree of the same-direction road is smoother than that of the first road, so as to guide the traffic flow of the second road to the same-direction road.
In this embodiment, in the determining module 201, in order to achieve the purpose of diversion in traffic jam, it is necessary to calculate the traffic speed and the traffic density of the first road first, and determine whether diversion is required according to the traffic speed and the traffic density.
The specific formula of the vehicle flow speed is as follows: speed of vehicle flowWherein m represents a first road, sum represents a total vehicle on the first road, v i Represents the ith vehicle, v min Representing the speed of the slowest vehicle, v max Representing the speed of the fastest vehicle, in which formula the average speed of all vehicles is integrated +.> Speed v of slowest vehicle min Vehicle speed v of the highest vehicle max Vehicle speed v of slowest vehicle min Vehicle speed v of the highest vehicle max Has a certain influence on the final result, can truly reflect the congestion condition of the first road, such as the speed v of the highest vehicle in the first road max Quickly, it means that some of the first road is clear, and then the first road may be congested with only a small portion of the road segment, which means that the road is not truly congested; conversely, for example, the speed v of the lowest vehicle in the first road m n is slow, it means that the road is more congested than expected.
Density of traffic flowWherein L is i Representing the length of the i-th road segment on the first road, sum i Representing the total number of vehicles on the ith road segment, u i A weight representing an i-th road segment; in the formula, a first road is divided into a plurality of small road sections, and the whole road is calculated by matching corresponding weights on the basis of the small road sectionsThe traffic density of the first road gradually decreases along with the small road section from front to back, namely, the weight of the forefront road section of the first road is the largest, and the weight of the last road section is the smallest, so the significance of setting the weight is that if the traffic density of the forefront road section is higher, the traffic density of the whole first road is higher, otherwise, if the traffic of the last road section is lower, the traffic density of the whole first road is not lower, and therefore, the traffic density result finally obtained by setting the weight is more in accordance with the actual current situation.
In the obtaining module 202, whether the first road is in a congestion state is determined according to the calculated traffic speed and traffic density, if yes, the congestion degree of the same-direction road adjacent to the first road is further obtained, wherein the calculation mode of the congestion degree of the same-direction road is consistent with the calculation mode of the first road.
In the adjusting module 203, if it is determined that the congestion degree of the same-direction road is smoother than that of the first road, the traffic light state of the second road behind the first road is adjusted to guide the traffic flow of the second road to the same-direction road.
Therefore, when the first road is in a congestion state and the same-direction road is smooth, vehicles on the second road behind are forced to drive to the smooth same-direction road by changing the state of the traffic light, so that the congestion condition of the whole traffic road can be greatly relieved.
In one embodiment, the determining module 201, when calculating the total vehicle and the vehicle speed, specifically:
acquiring a communication signal of the first road communication equipment;
determining a total vehicle on the first road based on the number of the communication signals, wherein if the distance between the sending positions of the communication signals is within a preset distance range, the communication equipment within the preset distance range is considered to belong to the same vehicle;
the vehicle speed is determined based on the change in the emission position of the communication signal.
In an embodiment, the determining module 201 determines, according to the traffic speed and the traffic density of the first road, the congestion degree of the first road, specifically:
degree of congestionWherein w is 1 Weights, w, representing vehicle flow velocity 2 Weight for traffic density;
if the congestion degree Y m Exceeding a first threshold value, and judging that the first road is in a congestion state;
if the congestion degree Y m And judging that the first road is in a non-congestion state when the first road is lower than the first threshold value.
In one embodiment, the weight w of the vehicle flow velocity 1 And the weight w of the traffic density 2 For obtaining through historical data analysis, wherein the weight w of the vehicle flow speed 1 The value is 0.3-0.4, and the weight w of the traffic density is the weight w 2 The value is 0.6-0.7.
In an embodiment, the adjusting module 203 determines that the congestion level of the same road is smoother than that of the first road, specifically:
if the congestion degree Z of the same-direction road m Below the congestion level Y m And judging that the congestion degree of the same-direction road is smoother than that of the first road.
In an embodiment, the adjusting module 203 adjusts the traffic light status of the second road behind the first road, specifically:
calculating a first passing duration of the first road, setting a traffic light state leading to the first road to be a red light, and adjusting the red light duration to be at least half of the first passing duration so as to limit a vehicle of the second road to drive into the first road.
In an embodiment, the adjusting module 203 is configured to, after the adjusting the traffic light status of the second road located behind the first road, specifically:
and setting the traffic light state of the same-direction road as a green light.
In an embodiment, the adjustment module 203 further calculates a second duration of the same-direction road;
and when the second traffic duration is higher than a set value, setting the traffic light state of the same-direction road as a red light.
In another aspect, the invention provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method when executing the computer program.
In this embodiment, when the computer storage medium executes, the congestion degree of the first road is determined according to the traffic speed and the traffic density of the first road, where the calculation formula of the traffic speed and the traffic density is:
speed of vehicle flowWherein m represents a first road, sum represents a total vehicle on the first road, v i Represents the ith vehicle, v min Representing the speed of the slowest vehicle, v max Representing the speed of the fastest vehicle;
density of traffic flowWherein L is i Representing the length of the i-th road segment on the first road, sum i Representing the total number of vehicles on the ith road segment, u i The weight representing the i-th road segment gradually decreases as i increases;
if the first road is judged to be in a congestion state, acquiring the congestion degree of the homodromous road adjacent to the first road;
and if the congestion degree of the same-direction road is judged to be smoother than that of the first road, adjusting the traffic light state of a second road behind the first road so as to guide the traffic flow of the second road to the same-direction road.
Therefore, when the first road is in a congestion state and the same-direction road is smooth, vehicles on the second road behind are forced to drive to the smooth same-direction road by changing the state of the traffic light, so that the congestion condition of the whole traffic road can be greatly relieved.
Another aspect of the invention provides a computer readable storage medium having stored thereon computer program instructions which when executed by a processor perform the steps of a method.
In this embodiment, when the computer storage medium executes, the congestion degree of the first road is determined according to the traffic speed and the traffic density of the first road, where the calculation formula of the traffic speed and the traffic density is:
speed of vehicle flowWherein m represents a first road, sum represents a total vehicle on the first road, v i Represents the ith vehicle, v min Representing the speed of the slowest vehicle, v max Representing the speed of the fastest vehicle;
density of traffic flowWherein L is i Representing the length of the i-th road segment on the first road, sum i Representing the total number of vehicles on the ith road segment, u i The weight representing the i-th road segment gradually decreases as i increases;
if the first road is judged to be in a congestion state, acquiring the congestion degree of the homodromous road adjacent to the first road;
and if the congestion degree of the same-direction road is judged to be smoother than that of the first road, adjusting the traffic light state of a second road behind the first road so as to guide the traffic flow of the second road to the same-direction road.
Therefore, when the first road is in a congestion state and the same-direction road is smooth, vehicles on the second road behind are forced to drive to the smooth same-direction road by changing the state of the traffic light, so that the congestion condition of the whole traffic road can be greatly relieved.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present invention, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (8)
1. A method for integrated management of a smart city, the method comprising:
judging the congestion degree of a first road according to the traffic flow speed and the traffic flow density of the first road, wherein the calculation formula of the traffic flow speed and the traffic flow density is as follows:
speed of vehicle flowWherein m represents the first road, sum represents the first roadTotal vehicles on road v i Represents the ith vehicle, v min Representing the speed of the slowest vehicle, v max Representing the speed of the fastest vehicle;
density of traffic flowWherein L is i Representing the length of the i-th road segment on the first road, sum i Representing the total number of vehicles on the ith road segment, u i The weight representing the i-th road segment gradually decreases as i increases;
the congestion degree of the first road is judged according to the traffic flow speed and the traffic flow density of the first road, and the formula is as follows:
degree of congestionWherein w is 1 Weights, w, representing vehicle flow velocity 2 Weight for traffic density;
if the congestion degree Y m Exceeding a first threshold value, and judging that the first road is in a congestion state;
if the congestion degree Y m Judging that the first road is in a non-congestion state when the first road is lower than the first threshold value;
the total vehicle and the speed are obtained by the following steps:
acquiring a communication signal of the first road communication equipment;
determining a total vehicle on the first road based on the number of the communication signals, wherein if the distance between the sending positions of the communication signals is within a preset distance range, the communication equipment within the preset distance range is considered to belong to the same vehicle;
determining a vehicle speed based on a change in the emission position of the communication signal;
if the first road is judged to be in a congestion state, acquiring the congestion degree of the homodromous road adjacent to the first road;
and if the congestion degree of the same-direction road is judged to be smoother than that of the first road, adjusting the traffic light state of a second road behind the first road so as to guide the traffic flow of the second road to the same-direction road.
2. The method of claim 1, wherein the weight w of the vehicle flow velocity 1 And the weight w of the traffic density 2 For obtaining through historical data analysis, wherein the weight w of the vehicle flow speed 1 The value is 0.3-0.4, and the weight w of the traffic density is the weight w 2 The value is 0.6-0.7.
3. The method of claim 1, wherein the determining that the congestion level of the same-direction link is smoother than the first link comprises:
if the congestion degree Z of the same-direction road m Below the congestion level Y m And judging that the congestion degree of the same-direction road is smoother than that of the first road.
4. The method according to claim 1, wherein the traffic light status comprises a duration of a traffic light and/or a status of a traffic light.
5. The method of claim 4, wherein said adjusting traffic light status of a second road located behind the first road comprises:
calculating a first passing duration of the first road, setting a traffic light state leading to the first road to be a red light, and adjusting the red light duration to be at least half of the first passing duration so as to limit a vehicle of the second road to drive into the first road.
6. The method of claim 4, wherein said adjusting traffic light status of a second road located behind the first road comprises:
and setting the traffic light state of the road in the same direction as a green light.
7. The method of claim 6, further calculating a second duration of traffic for the same-directional link;
and when the second traffic duration is higher than a set value, setting the traffic light state of the same-direction road as a red light.
8. A system for integrated management of a smart city, the system comprising:
the judging module is used for judging the congestion degree of the first road according to the traffic flow speed and the traffic flow density of the first road; the calculation formulas of the traffic flow speed and the traffic flow density are as follows:
speed of vehicle flowWherein m represents a first road, sum represents a total vehicle on the first road, v i Represents the ith vehicle, v min Representing the speed of the slowest vehicle, v max Representing the speed of the fastest vehicle;
density of traffic flowWherein L is i Representing the length of the i-th road segment on the first road, sum i Representing the total number of vehicles on the ith road segment, u i The weight representing the i-th road segment gradually decreases as i increases;
the congestion degree of the first road is judged according to the traffic flow speed and the traffic flow density of the first road, and the formula is as follows:
degree of congestionWherein w is 1 Weights, w, representing vehicle flow velocity 2 Weight for traffic density;
if the congestion degree Y m Exceeding a first threshold value, and judging that the first road is in a congestion state;
if the congestion degree Y m Lower than the saidJudging that the first road is in a non-congestion state between first thresholds;
the total vehicle and the speed are obtained by the following steps:
acquiring a communication signal of the first road communication equipment;
determining a total vehicle on the first road based on the number of the communication signals, wherein if the distance between the sending positions of the communication signals is within a preset distance range, the communication equipment within the preset distance range is considered to belong to the same vehicle;
determining a vehicle speed based on a change in the emission position of the communication signal;
the acquisition module is used for acquiring the congestion degree of the same-direction road adjacent to the first road if the first road is judged to be in a congestion state;
and the adjusting module is used for adjusting the traffic light state of a second road behind the first road if the congestion degree of the same-direction road is judged to be smoother than that of the first road, so as to guide the traffic flow of the second road to the same-direction road.
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