CN114677126B - Public transport comprehensive regulation and control system for smart city based on multi-source data - Google Patents
Public transport comprehensive regulation and control system for smart city based on multi-source data Download PDFInfo
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Abstract
The invention discloses a public traffic comprehensive regulation and control system for a smart city based on multi-source data, which belongs to the field of smart cities and is used for solving the problem that public traffic resources in the city are not reasonably distributed, and comprises an intelligent regulation and control module, a flow analysis module, a grade setting module, a regulation and control analysis module and a traffic positioning module, wherein the traffic positioning module is used for positioning public traffic in the smart city, the intelligent regulation and control module is used for setting regulation and control analysis time intervals for the public traffic in the smart city, the flow analysis module is used for analyzing the flow of the public traffic in the smart city, the regulation and control analysis module is used for analyzing a route where the public traffic is located in the smart city, the grade setting module is used for setting the regulation and control grade of the public traffic in the smart city, and the intelligent regulation and control module is used for regulating and controlling the traffic of the public traffic according to the regulation and control grade, the invention realizes the comprehensive scheduling and reasonable distribution of urban public transport resources.
Description
Technical Field
The invention belongs to the field of smart cities, relates to a traffic regulation and control technology, and particularly relates to a public traffic comprehensive regulation and control system for smart cities based on multi-source data.
Background
The smart city originates from the media field, and means that various information technologies or innovative concepts are utilized to communicate and integrate the system and service of the city, so as to improve the efficiency of resource application, optimize city management and service, and improve the quality of life of citizens. The smart city is a city informatization advanced form which fully applies a new generation of information technology to various industries in the city and is based on the innovation of the next generation of knowledge society, realizes the deep integration of informatization, industrialization and urbanization, is beneficial to relieving the large urban diseases, improves the urbanization quality, realizes the fine and dynamic management, improves the urban management effect and improves the quality of life of citizens.
In the prior art, the operation routes of public transport in cities are numerous, the operation routes have the phenomenon that more passengers run in the vehicles and even the vehicles run in an idle state, but the problem that more passengers run in the vehicles in other operation routes and the public transport resources are not reasonably distributed, so that the intelligent comprehensive regulation and control system for the public transport in the cities based on multi-source data is provided.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a comprehensive public traffic regulation and control system for a smart city based on multi-source data.
The technical problem to be solved by the invention is as follows:
how to realize the comprehensive scheduling of urban public transport resources based on multi-source data.
The purpose of the invention can be realized by the following technical scheme:
the comprehensive public traffic regulation and control system for the smart city based on the multi-source data comprises a data acquisition module, an intelligent regulation and control module, a flow analysis module, a grade setting module, a regulation and control analysis module, a traffic positioning module and a server, wherein the traffic positioning module is used for positioning public traffic in the smart city and sending the real-time position of the public traffic to the data acquisition module;
the intelligent regulation and control module is used for setting regulation and control analysis time intervals for public transportation in the smart city and sending the regulation and control analysis time intervals to the server;
the data acquisition module acquires flow data of a plurality of public traffics in a regulation and analysis period and hardware data of routes where the plurality of public traffics are located according to real-time positions, and transmits the flow data and the hardware data to the server;
the server sends the flow data to a flow analysis module, and the server sends the hardware data to a regulation and control analysis module; the flow analysis module is used for analyzing the flow of public traffic in the smart city and analyzing to generate a flow reduction signal or a flow increase signal; the regulation and control analysis module is used for analyzing the route of the public transport in the smart city and analyzing to obtain the regulation and control value of the route of the public transport;
the level setting module is used for setting the regulation and control level of public transportation in the smart city to obtain the regulation and control level of the public transportation;
and the intelligent regulation and control module is used for carrying out traffic regulation and control on the location of the public traffic according to the regulation and control grade.
Further, the flow data is the real-time number of people in public transportation in the regulation and control analysis period;
the hardware data includes the number of lanes of the public traffic route, the number of turns, the bending degree of each turn and the number of traffic lights.
Further, the analysis process of the flow analysis module is specifically as follows:
the method comprises the following steps: marking the traffic route as u, u =1, 2, … …, z, z being a positive integer;
step two: setting a plurality of time points T1, T2 and T3 in a regulation and analysis time period, and acquiring real-time people RLuT1, RLuT2 and RLuT3 corresponding to public transportation at the time points;
step three: marking a time period from a time point T1 to a time point T2 as a first time period, and marking a time period from a time point T2 to a time point T3 as a second time period;
step four: by the formula
Calculating the change rate of the number of people in public transport RBS1u in the first time period;
by the formula
Calculating the change rate of the number of people in the public transportation RBS2u in the second time period;
step five: if RBS1u is greater than or equal to RBS2u, a flow reduction signal is generated;
if RBS1u < RBS2u, a traffic increase signal is generated.
Further, the flow analysis module feeds back a flow reduction signal or a flow increase signal to the server;
if the server receives the traffic reduction signal then nothing is done,
and if the server receives the flow increasing signal, the server sends the change rate of the number of people in the public transport to the grade setting module.
Further, the analysis process of the regulation and control analysis module is specifically as follows:
step S1: obtaining a route where public transportation is located, obtaining the number of lanes of the route where the public transportation is located, and marking the number of lanes as CDSu;
step S2: the method comprises the steps of obtaining the number of turns of a route where public transportation is located and the curvature corresponding to each turn, and obtaining the bending average JWQu of the route where the public transportation is located by adding and dividing the curvature corresponding to each turn by the number of turns;
step S3: acquiring the number of traffic lights of a route where public traffic is located, and marking the number of the traffic lights as DSu;
step S4: by the formula
Calculating to obtain a regulation value TKu of the route where the public transport is located; in the formula, a1, a2 and a3 are all proportionality coefficients with fixed numerical values, and the values of a1, a2 and a3 are all larger than zero.
Further, the regulation and control analysis module feeds back the regulation and control value of the route where the public transport is located to the server, and the server sends the regulation and control value of the route where the public transport is located to the grade setting module.
Further, the setting process of the level setting module is specifically as follows:
step SS 1: acquiring the change rate of the number of people in public transport RBS1u and RBS2 u;
step SS 2: subtracting the change rate of the number of the public transportation in the first period from the change rate of the number of the public transportation in the second period to obtain a difference value RBSCu of the change rate of the number of the public transportation in the regulation and control analysis period;
step SS 3: substituting the regulation and control value of the route where the public transport is located and the difference value of the change rate of the number of people of the public transport in the regulation and control analysis time period into a calculation formula TDu = RBSCu × b1+ TKu × b2 to calculate the regulation and control grade value TDu of the public transport; in the formula, b1 and b2 are both weight coefficients with fixed values, and the values of b1 and b2 are both larger than zero;
step SS 4: if TDu is less than X1, the regulation and control level of the public transport is a third-level regulation and control level;
if the X1 is not more than TDu and is more than X2, the regulation and control level of the public traffic is a secondary regulation and control level;
if the X2 is less than or equal to TDu, the regulation and control level of the public traffic is a primary regulation and control level; wherein X1 and X2 are both regulation and control level thresholds with fixed values, and X1 is less than X2;
the level setting module feeds back the regulation and control level of the public transport to the server, and the server sends the regulation and control level of the public transport to the intelligent regulation and control module.
Further, the working process of the intelligent regulation and control module is as follows:
if the public transportation is in a first-level regulation grade, starting a first-level regulation measure;
if the public transportation is in a secondary regulation grade, starting a secondary regulation measure;
and if the public traffic is in a three-level regulation grade, starting a three-level regulation measure.
Furthermore, the primary regulation and control measures comprise calling public transportation of other public transportation routes, dispatching the public transportation to a specified place, increasing the number of the public transportation of the route where the public transportation is located and shortening the running interval time of the public transportation;
the secondary regulation and control measures comprise the steps of dispatching public traffic to a specified place, increasing the number of the public traffic of a route where the public traffic is located and shortening the running interval time of the public traffic;
the three-level regulation measures comprise increasing the number of public transportation of the route where the public transportation is located and shortening the running interval time of the public transportation.
Compared with the prior art, the invention has the beneficial effects that:
the invention locates public traffic in a smart city through a traffic locating module, sets a regulation and control analysis time interval for the public traffic in the smart city through an intelligent regulation and control module, analyzes the flow of the public traffic in the smart city by combining with the flow analysis module, analyzes and generates a flow reduction signal or a flow increase signal, sends the number change rate of the public traffic to a grade setting module if the flow increase signal is generated, simultaneously analyzes a route of the public traffic in the smart city through the regulation and control analysis module to obtain a regulation value of the route of the public traffic, sends the regulation value to the grade setting module, sets the regulation and control grade of the public traffic in the smart city, sets the regulation and control grade of the public traffic and sends the regulation and control grade to the intelligent regulation and control module, and the intelligent regulation and control module regulates the traffic of the location of the public traffic according to the regulation and control grade, the invention analyzes the pedestrian flow of public transportation and the traffic condition of the location of the public transportation, and realizes the comprehensive scheduling of urban public transportation resources based on the flow, the traffic and other factors.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is an overall system block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood 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.
Referring to fig. 1, the comprehensive regulation and control system for public transportation for smart cities based on multi-source data comprises a data acquisition module, an intelligent regulation and control module, a flow analysis module, a grade setting module, a regulation and control analysis module, a traffic positioning module and a server;
in the invention, the public transport comprehensive regulation and control system is suitable for the public transport operation range in the smart city;
the traffic positioning module is used for positioning public traffic in the smart city and sending the real-time position of the public traffic to the data acquisition module;
in specific implementation, the traffic positioning module can be a GPS locator arranged in public traffic and transmits the geographic position of the public traffic in real time;
the intelligent regulation and control module is used for setting regulation and control analysis time intervals for public transportation in the smart city and sending the regulation and control analysis time intervals to the server; the data acquisition module acquires flow data of a plurality of public traffics according to the regulation and analysis time period and hardware data of routes where the plurality of public traffics are located according to real-time positions, and transmits the flow data and the hardware data to the server;
specifically, the flow data is the real-time number of people in public transportation in the regulation and control analysis period; the hardware data comprises the number of lanes and turns of a route where public transportation is located, the bending degree of each turn, the number of traffic lights and the like; actually, the data acquisition module is a people counting meter, a high-definition camera, a counter and the like;
the server sends the flow data to a flow analysis module, and the server sends the hardware data to a regulation and control analysis module;
the flow analysis module is used for analyzing the flow of public transport in the smart city, and the analysis process is as follows:
the method comprises the following steps: marking the traffic route as u, u =1, 2, … …, z, z being a positive integer;
step two: setting a plurality of time points T1, T2 and T3 in a regulation and analysis time period, and acquiring real-time people RLuT1, RLuT2 and RLuT3 corresponding to public transportation at the time points;
step three: marking a time period from a time point T1 to a time point T2 as a first time period, and marking a time period from a time point T2 to a time point T3 as a second time period;
step four: by the formula
Calculating the change rate of the number of people in public transport RBS1u in the first time period;
by the formula
Calculating the change rate of the number of people in the public transportation RBS2u in the second time period;
step five: if RBS1u is greater than or equal to RBS2u, a flow reduction signal is generated;
if RBS1u < RBS2u, generating a traffic increase signal;
the traffic analysis module feeds back the traffic reduction signal or the traffic increase signal to the server, if the server receives the traffic reduction signal, no operation is performed, and if the server receives the traffic increase signal, the server sends the change rate of the number of people in public transport RBS1u and RBS2u to the grade setting module;
the regulation and control analysis module is used for analyzing a route where public transportation is located in the smart city, and the analysis process is as follows:
step S1: obtaining a route where public transportation is located, obtaining the number of lanes of the route where the public transportation is located, and marking the number of lanes as CDSu;
step S2: the method comprises the steps of obtaining the number of turns of a route where public transportation is located and the bending degree corresponding to each turn, adding and summing the bending degrees corresponding to each turn and dividing the sum by the number of turns to obtain the bending average JWQu of the route where the public transportation is located;
step S3: acquiring the number of traffic lights of a route where public traffic is located, and marking the number of the traffic lights as DSu;
step S4: by the formula
Calculating to obtain a regulation value TKu of the route where the public transport is located; in the formula, a1, a2 and a3 are all proportional coefficients with fixed values, and the values of a1, a2 and a3 are all larger than zero, and in specific implementation, the positive-negative ratio relation between the parameters and the result value is not influenced by the value of the proportional coefficients;
the regulation and control analysis module feeds back the regulation and control value TKu of the route where the public transport is located to the server, and the server sends the regulation and control value TKu of the route where the public transport is located to the grade setting module;
the level setting module is used for setting the regulation and control level of public traffic in the smart city, and the setting process is as follows:
step SS 1: acquiring the calculated change rate of the number of people in the public transport RBS1u and RBS2 u;
step SS 2: subtracting the change rate of the number of the public transportation in the first period from the change rate of the number of the public transportation in the second period to obtain a difference value RBSCu of the change rate of the number of the public transportation in the regulation and control analysis period;
step SS 3: the regulation and control value of the route where the public transport is located and the difference value of the number of people of the public transport in the regulation and control analysis period are substituted into a calculation formula TDu = RBSCu × b1+ TKu × b2 to calculate the regulation and control grade value TDu of the public transport; in the formula, b1 and b2 are both weight coefficients with fixed values, and the values of b1 and b2 are both larger than zero;
step SS 4: if TDu is less than X1, the regulation and control level of the public transport is a third-level regulation and control level;
if the X1 is not more than TDu and is more than X2, the regulation and control level of the public traffic is a secondary regulation and control level;
if the X2 is less than or equal to TDu, the regulation and control level of the public traffic is a primary regulation and control level; wherein X1 and X2 are both regulation and control level thresholds with fixed values, and X1 is less than X2;
the level setting module feeds back the regulation and control level of the public traffic to the server, and the server sends the regulation and control level of the public traffic to the intelligent regulation and control module;
the intelligent regulation and control module is used for carrying out traffic regulation and control on the locations of public traffic according to the regulation and control grades, and the working process is as follows:
if the public transportation is in a first-level regulation grade, starting a first-level regulation measure;
if the public transportation is in a secondary regulation grade, starting a secondary regulation measure;
if the public transportation is in a third-level regulation and control level, starting a third-level regulation and control measure;
the primary regulation and control measures comprise calling public transportation of other public transportation routes, increasing and dispatching public transportation to a specified place, increasing the number of the public transportation of the route where the public transportation is located, shortening the running interval time of the public transportation and the like;
the secondary regulation and control measures comprise increasing public transport to a specified place, increasing the number of the public transport on a route where the public transport is located, shortening the running interval time of the public transport and the like;
the three-level regulation measures comprise increasing the number of public transportation of the route where the public transportation is located, shortening the running interval time of the public transportation and the like;
when the method is specifically implemented, the regulation and control strength of the first-level regulation and control measure is ensured to be greater than that of the second-level regulation and control measure, and the regulation and control strength of the second-level regulation and control measure is ensured to be greater than that of the third-level regulation and control measure, and the specific regulation and control measure can be set according to actual conditions.
When the comprehensive public traffic regulation and control system for the smart city based on the multi-source data works, public traffic in the smart city is positioned through the traffic positioning module, the real-time position of the public traffic is sent to the data acquisition module, and meanwhile, the intelligent regulation and control module sets a regulation and control analysis time period for the public traffic in the smart city and sends the regulation and control analysis time period to the server;
the data acquisition module acquires flow data of a plurality of public traffics according to the regulation and control analysis time period and hardware data of routes where the public traffics are located according to real-time positions, and transmits the flow data and the hardware data to the server, and the server transmits the flow data to the flow analysis module and transmits the hardware data to the regulation and control analysis module;
analyzing the flow of public transportation in a smart city through a flow analysis module, marking a traffic route as u, setting a plurality of time points T1, T2 and T3 in a regulation and control analysis period, acquiring real-time people RLuT1, RLuT2 and RLuT3 corresponding to the public transportation at the time point, marking the time period from the time point T1 to the time point T2 as a first period, marking the time period from the time point T2 to the time point T3 as a second period, and analyzing the flow of the public transportation in the smart city through a formula
Calculating the change rate of the number of people in the public transport RBS1u in the first time period by formula
Calculating the change rate of the number of people in public transport RBS2u in the second time period, if RBS1u is not less than RBS2u, generating a flow reduction signal, if RBS1u is less than RBS2u, generating a flow increase signal, feeding the flow reduction signal or the flow increase signal back to the server by the flow analysis module, if the server receives the flow reduction signal, not performing any operation, and if the server receives the flow increase signal, sending the change rate of the number of people in public transport RBS1u and RBS2u to the grade setting module;
by regulating and controlling the analysis module to the wisdomAnalyzing the route of public traffic in the city to obtain the route of the public traffic, obtaining the number of lanes CDSu, the bending average JWQu and the number of traffic lights DSu of the route of the public traffic, and obtaining the number of the traffic lights through a formula
The regulation and control value TKu of the route where the public transport is located is obtained through calculation, the regulation and control analysis module feeds back the regulation and control value TKu of the route where the public transport is located to the server, and the server sends the regulation and control value TKu of the route where the public transport is located to the grade setting module;
the regulation and control levels of public transport in the smart city are set through a level setting module to obtain the change rate of the number of people of the public transport RBS1u and RBS2u, the change rate of the number of people of the public transport in the second time period subtracts the change rate of the number of people of the public transport in the first time period to obtain the change rate difference value RBSCu of the number of people of the public transport in the regulation and control analysis time period, the regulation and control value of the route where the public transport is located and the change rate difference value of the number of people of the public transport in the regulation and control analysis time period are substituted into a calculation formula TDu = RBSCu X b1+ TKu X2 to obtain the regulation and control level value TDu of the public transport, if TDu is less than X1, the regulation and control level of the public transport is a three-level, if X1 is less than or equal to TDu and less than X2, the regulation and control level of the public transport is a two-level, if X2 is less than or equal to TDu, the regulation and control level of the public transport is a first-level, the level setting module feeds back the regulation and control level of the public transport to a server, the server sends the regulation and control level of the public traffic to the intelligent regulation and control module;
the intelligent control module carries out traffic control on the location of the public traffic according to the control grade, if the public traffic is in the first-level control grade, the first-level control measure is started, if the public traffic is in the second-level control grade, the second-level control measure is started, and if the public traffic is in the third-level control grade, the third-level control measure is started.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the latest real situation, the preset parameters in the formula are set by the technical personnel in the field according to the actual situation, the weight coefficient and the scale coefficient are specific numerical values obtained by quantizing each parameter, the subsequent comparison is convenient, and the coefficient can be calculated as long as the proportional relation between the parameter and the quantized numerical value is not influenced.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (6)
1. The comprehensive public traffic regulation and control system for the smart city based on the multi-source data is characterized by comprising a data acquisition module, an intelligent regulation and control module, a flow analysis module, a grade setting module, a regulation and control analysis module, a traffic positioning module and a server, wherein the traffic positioning module is used for positioning public traffic in the smart city and sending the real-time position of the public traffic to the data acquisition module;
the intelligent regulation and control module is used for setting regulation and control analysis time intervals for public transportation in the smart city and sending the regulation and control analysis time intervals to the server;
the data acquisition module acquires flow data of a plurality of public traffics according to the regulation and analysis time period and hardware data of routes where the plurality of public traffics are located according to real-time positions, and transmits the flow data and the hardware data to the server;
the server sends the flow data to a flow analysis module, and the server sends the hardware data to a regulation and control analysis module; the flow analysis module is used for analyzing the flow of public traffic in the smart city and analyzing to generate a flow reduction signal or a flow increase signal; the regulation and control analysis module is used for analyzing the route of the public transport in the smart city and analyzing to obtain the regulation and control value of the route of the public transport;
the level setting module is used for setting the regulation and control level of public transportation in the smart city to obtain the regulation and control level of the public transportation;
the analysis process of the flow analysis module is as follows:
the method comprises the following steps: marking the traffic route as u, u =1, 2, … …, z, z being a positive integer;
step two: setting a plurality of time points T1, T2 and T3 in a regulation and analysis time period, and acquiring real-time people RLuT1, RLuT2 and RLuT3 corresponding to public transportation at the time points;
step three: marking a time period from a time point T1 to a time point T2 as a first time period, and marking a time period from a time point T2 to a time point T3 as a second time period;
step four: by the formula
Calculating to obtain the change rate of the number of people in public transport RBS1u in the first time period;
by the formula
Calculating the change rate of the number of people in the public transportation RBS2u in the second time period;
step five: if RBS1u is greater than or equal to RBS2u, a flow reduction signal is generated;
if RBS1u < RBS2u, generating a traffic increase signal;
the analysis process of the regulation and control analysis module is as follows:
step S1: obtaining a route where public transportation is located, obtaining the number of lanes of the route where the public transportation is located, and marking the number of lanes as CDSu;
step S2: the method comprises the steps of obtaining the number of turns of a route where public transportation is located and the curvature corresponding to each turn, and obtaining the bending average JWQu of the route where the public transportation is located by adding and dividing the curvature corresponding to each turn by the number of turns;
step S3: acquiring the number of traffic lights of a route where public traffic is located, and marking the number of the traffic lights as DSu;
step S4: by the formula
Calculating to obtain a regulation value TKu of the route where the public transport is located; in the formula, a1, a2 and a3 are all proportionality coefficients with fixed numerical values, and the values of a1, a2 and a3 are all larger than zero;
the setting process of the grade setting module is as follows:
step SS 1: acquiring the change rate of the number of people in public transport RBS1u and RBS2 u;
step SS 2: subtracting the people number change rate of the public transportation in the first time period from the people number change rate of the public transportation in the second time period to obtain a people number change rate difference value RBSCu of the public transportation in the regulation and control analysis time period;
step SS 3: substituting the regulation value of the route of the public transport and the difference value of the change rate of the number of people in the public transport in the regulation and analysis period into a calculation formula
Calculating to obtain a regulation and control grade value TDu of the public transportation; in the formula, b1 and b2 are both weight coefficients with fixed values, and the values of b1 and b2 are both larger than zero;
step SS 4: if TDu is less than X1, the regulation and control level of the public transport is a three-level regulation and control level;
if the X1 is not more than TDu and is more than X2, the regulation and control level of the public traffic is a secondary regulation and control level;
if the X2 is less than or equal to TDu, the regulation and control level of the public traffic is a primary regulation and control level; wherein X1 and X2 are both regulation and control level thresholds with fixed values, and X1 is less than X2;
the level setting module feeds back the regulation and control level of the public traffic to the server, and the server sends the regulation and control level of the public traffic to the intelligent regulation and control module;
and the intelligent regulation and control module is used for carrying out traffic regulation and control on the location of the public traffic according to the regulation and control grade.
2. The comprehensive regulation and control system of public transportation for smart city based on multisource data as claimed in claim 1, wherein the flow data is real-time number of people of public transportation in regulation and control analysis period;
the hardware data includes the number of lanes of the public traffic route, the number of turns, the bending degree of each turn and the number of traffic lights.
3. The system of claim 1, wherein the flow analysis module feeds back a flow reduction signal or a flow increase signal to the server;
if the server receives the traffic reduction signal then nothing is done,
and if the server receives the flow increasing signal, the server sends the change rate of the number of people in the public transport to the grade setting module.
4. The system of claim 1, wherein the regulation analysis module feeds back the regulation value of the route of the public transport to the server, and the server sends the regulation value of the route of the public transport to the grade setting module.
5. The system of claim 1, wherein the intelligent control module is configured to operate as follows:
if the public transportation is in a first-level regulation grade, starting a first-level regulation measure;
if the public transportation is in a secondary regulation grade, starting a secondary regulation measure;
and if the public transportation is in a third-level regulation and control level, starting a third-level regulation and control measure.
6. The comprehensive regulation and control system of public transportation for smart city based on multisource data as claimed in claim 5, wherein the primary regulation and control measures include calling public transportation of other public transportation routes, increasing the number of public transportation of the routes where the public transportation is located and reducing the running interval time of the public transportation;
the secondary regulation measures comprise increasing public transportation to a specified place, increasing the number of the public transportation of the route where the public transportation is located and shortening the running interval time of the public transportation;
the three-level regulation measures comprise increasing the number of public transportation of the route where the public transportation is located and shortening the running interval time of the public transportation.
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