CN116071936B - Bus priority passing control method and device, electronic equipment and storage medium - Google Patents

Bus priority passing control method and device, electronic equipment and storage medium Download PDF

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CN116071936B
CN116071936B CN202310201502.XA CN202310201502A CN116071936B CN 116071936 B CN116071936 B CN 116071936B CN 202310201502 A CN202310201502 A CN 202310201502A CN 116071936 B CN116071936 B CN 116071936B
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bus
buses
score
weight
estimated arrival
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CN116071936A (en
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高志刚
林杰松
陈劼
张健
邢映彪
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Guangzhou Tongda Auto Electric Co Ltd
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Guangzhou Tongda Auto Electric Co Ltd
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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/07Controlling traffic signals
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/07Controlling traffic signals
    • G08G1/08Controlling traffic signals according to detected number or speed of vehicles
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/10Internal combustion engine [ICE] based vehicles
    • Y02T10/40Engine management systems

Abstract

The invention discloses a bus priority passing control method, a device, electronic equipment and a storage medium, which comprise the following steps: acquiring operation data of buses between two adjacent intersections on a bus line; determining the priority level of the bus according to the operation data; predicting the estimated arrival time of a bus in a waiting area of a target intersection; acquiring vehicle data of social vehicles reaching a waiting area at the estimated arrival time; determining a score according to the vehicle data, the priority level and the time period to which the estimated arrival time belongs; and when the score is greater than a preset score threshold value, adjusting the traffic lights of the target intersection according to the score, so that the traffic lights indicate the buses to pass when the buses reach the waiting area. The score is determined by the running data of the buses and the vehicle data of the social vehicles to judge whether to adjust the traffic lights, so that buses with high priority level pass through the intersections preferentially, the traffic efficiency of the buses is improved, and the control of the bus priority traffic is perfected by combining the vehicle data of the social vehicles.

Description

Bus priority passing control method and device, electronic equipment and storage medium
Technical Field
The present invention relates to the field of road traffic control technologies, and in particular, to a method and apparatus for controlling bus priority traffic, an electronic device, and a storage medium.
Background
With the development of public transportation technology, the application of the public transportation signal control priority technology plays an important role in improving the traffic efficiency of a bus road network and reducing delay.
At present, in a bus priority passing control scheme, a vehicle-mounted device is generally configured on a bus, an intersection device is configured on a road near an intersection traffic light, when the bus runs to the intersection, the vehicle-mounted device interacts with the intersection device to determine that the intersection device controls the traffic light phase when the bus runs to the intersection, so that a signal of the running direction of the bus is a green light, and the bus directly continues to run when the bus reaches the intersection without waiting.
However, in the above-mentioned control scheme for preferential traffic of buses, the buses with vehicle-mounted devices can change the phase of traffic lights to directly pass through the intersections, and other factors such as road conditions and social vehicles are not considered, so that the scheme is not perfect.
Disclosure of Invention
The invention provides a bus priority passing control method, a device, electronic equipment and a storage medium, which are used for solving the problem that a bus priority passing control scheme is imperfect in the prior art.
In a first aspect, the present invention provides a method for controlling a bus priority traffic, for controlling traffic lights on a bus route, including:
acquiring operation data of buses between two adjacent intersections on a bus line;
determining the priority level of the bus according to the operation data;
predicting the estimated arrival time of the bus in a waiting area of a target intersection, wherein the target intersection is the latter intersection in the two adjacent intersections;
acquiring vehicle data of social vehicles reaching the waiting area at the estimated arrival time;
determining a score according to the vehicle data, the priority level and the time period to which the estimated arrival time belongs;
and when the score is larger than a preset score threshold value, adjusting a traffic light of the target intersection according to the score, so that the traffic light indicates the bus to pass when the bus reaches the waiting area.
In a second aspect, the present invention provides a bus priority traffic control device for controlling traffic lights on a bus line, including:
the bus running data acquisition module is used for acquiring running data of buses between two adjacent intersections on a bus line;
The priority level determining module is used for determining the priority level of the bus according to the operation data;
the arrival time estimating module is used for predicting the estimated arrival time of the bus in a waiting area of a target intersection, wherein the target intersection is the latter intersection in the two adjacent intersections;
a social vehicle data acquisition module for acquiring vehicle data of social vehicles reaching the waiting area at the estimated arrival time;
the score determining module is used for determining scores according to the vehicle data, the priority level and the time period to which the estimated arrival time belongs;
and the traffic light adjusting module is used for adjusting the traffic light of the target intersection according to the score when the score is larger than a preset score threshold value, so that the traffic light indicates the bus to pass when the bus reaches the waiting area.
In a third aspect, the present invention provides an electronic device, including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the bus priority traffic control method according to the first aspect of the present invention.
In a fourth aspect, the present invention provides a computer readable storage medium storing computer instructions for causing a processor to execute the bus priority traffic control method according to the first aspect of the present invention.
According to the bus priority passing control method, firstly, the priority level of each bus is determined according to the running data of buses between two adjacent intersections on a public traffic line, the estimated arrival time of the buses reaching a target intersection is predicted, the score is further determined according to the vehicle data of the social buses reaching the target intersection at the estimated arrival time, the priority level of the buses and the time period to which the estimated arrival time belongs, when the score is larger than the score threshold value, the traffic lights of the target intersection are adjusted according to the score, so that the traffic lights indicate the buses to pass when the buses reach a waiting area, the priority level of the buses is determined according to the running data of the buses, the score is further determined according to the vehicle data of the social buses reaching the waiting area at the estimated arrival time and the time period to which the estimated arrival time belongs, the traffic lights of the target intersection are adjusted according to the score, the problem that the control scheme of buses with vehicle-mounted equipment can change the phases of the traffic lights is imperfect is solved, the traffic lights are determined according to the running data of the buses and the vehicle data of the social buses so that the priority level of the buses reaches the waiting area, the priority level of the buses can be higher than the priority level, and the traffic efficiency is improved, and the traffic priority can be controlled more is better.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for controlling a bus to pass preferentially according to a first embodiment of the present invention;
fig. 2 is a flowchart of a method for controlling a bus to pass preferentially according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a bus priority traffic control device according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent 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 present invention without making any inventive effort, shall fall within the scope of the present invention.
Examples
Fig. 1 is a flowchart of a bus priority traffic control method according to a first embodiment of the present invention, where the embodiment is applicable to controlling traffic lights on a bus line to enable a bus to pass preferentially, the method may be performed by a bus priority traffic control device, and the bus priority traffic control device may be implemented in hardware and/or software, and the bus priority traffic control device may be configured in an electronic device, for example, in a traffic light control device, as shown in fig. 1, where the bus priority traffic control method includes:
s101, acquiring operation data of buses between two adjacent intersections on a bus line.
In this embodiment, the bus line may be a bus line on a main line in urban traffic, or may be a bus line on a non-main line, in which a plurality of intersections are usually arranged, and traffic lights are arranged at the intersections to indicate the traffic of vehicles in all directions on the intersections.
The bus can be provided with a GPS and/or a Beidou passing system to acquire the real-time position of the bus, and the drive test positioning system can also acquire the real-time position of the bus, so that the bus can be determined to be positioned between two specific adjacent intersections through the real-time position. After determining the bus between two adjacent intersections, operation data of the bus may be obtained, where the operation data may include at least one of a passenger capacity of the bus, a mispoint rate, a driving speed, and a passenger flow density of a stop at which the bus stops. The mispoint rate may be a ratio of the number of stations at which a bus stops at a mispoint to the total number of stations when the bus stops at each station on a bus line, or may be a ratio of the number of times of mispoint stops at the station to the total number of times of stops at the station counted according to a preset period for each station, the passenger flow density may be the number of passengers taking the bus at a certain station in a unit time, or the total number of passengers taking the bus at all stations between two adjacent intersections, and the passenger flow density of the bus, the mispoint rate, and the number of passengers at the station at which the bus stops may be directly read through a system, or may be obtained by real-time monitoring of a road administration system.
S102, determining the priority level of the bus according to the operation data.
In one embodiment, the running data may include multiple items of data, and different weights may be set according to the size of each item of data to calculate a weighted sum of the items of data, and further, the corresponding priority level is searched through the weighted sum, wherein the larger the weighted sum is, the higher the priority level is.
Illustratively, the weighted sum may be up to 10 points, the priority levels may be classified as first, second, third, with the first level being the highest, the third level being the lowest, the weighted sum being classified as 0-3.9 as the third, the weighted sum being classified as 4-7.9 as the second, and the weighted sum being classified as 8-10 as the first.
In another example, the sum value may be obtained by directly summing the data, and the priority level of the bus may be determined by the sum value, and the corresponding priority level may be obtained by looking up a table of the sum value.
S103, predicting the estimated arrival time of the bus in the waiting area of the target intersection, wherein the target intersection is the latter intersection of the two adjacent intersections.
The purpose of this embodiment is to adjust the traffic light of the next intersection to be reached by the bus, and to predict the estimated arrival time of the bus in the waiting area of the target intersection, where the waiting area may be an area within a certain range of each intersection stop line, such as an area where the vehicle waits to pass when in a red light, and the area may be set to be an area within a preset distance from the stop line to the intersection, such as an area between 20 meters from the stop line and the stop line.
In one embodiment, the distance between two adjacent intersections can be calculated, the average speed of the bus is obtained, the driving time is calculated according to the distance and the average speed, the stopping time of the bus at each station is determined according to data statistics, so that the total stopping time of the bus at the station between the two adjacent intersections is calculated, the driving time and the total stopping time are calculated, the estimated arrival time of the bus in a waiting area of a target intersection can be determined according to the current time and the value, and the estimated arrival time can be determined quickly.
In another embodiment, a time prediction model may be trained in advance, and road information, passenger flow information, traffic flow information, weather information, time information, running speed and position of a bus, and position of a target intersection between two adjacent intersections are obtained, where the road information includes the number of lanes, whether there is a special bus lane, the passenger flow information includes passenger flow density, the traffic flow information includes social traffic, the time information includes whether the current time is in a peak period, the target intersection is a later intersection in the two adjacent intersections, and the current time, the road information, the passenger flow information, the traffic flow information, the weather information, the time information, the running speed and position of the bus, and the position of the target intersection are further input into the pre-trained time prediction model, so as to obtain the estimated arrival time of the bus reaching the waiting area of the target intersection. By means of road information, passenger flow information, traffic flow information, weather information, time information, running speed and position of buses and the position of a target intersection between two adjacent intersections, factors such as road conditions, passenger flow information, traffic flow of social vehicles and weather are integrated, and accuracy of predicted estimated arrival time is improved.
S104, acquiring vehicle data of the social vehicle reaching the waiting area at the estimated arrival time.
The social vehicle may refer to a vehicle other than a bus, and in this embodiment, a road side system including sensors such as a laser radar and a camera may be disposed on a road side, so that vehicles on the road may be monitored by the road side system, so that the social vehicle reaching the waiting area at the estimated arrival time is predicted by the monitored data, for example, the social vehicle reaching the waiting area at the estimated arrival time may be determined by predicting the estimated arrival time of the bus reaching the waiting area of the target intersection in the above-mentioned manner in S103, and the total number of social vehicles reaching the waiting area at the estimated arrival time, the types of vehicles of the social vehicles, the number of social vehicles of each type of vehicles, and the like may be counted as the vehicle data of the social vehicle.
S105, determining the score according to the vehicle data, the priority level and the time period to which the estimated arrival time belongs.
The score in this embodiment is used to indicate the demand level of adjusting the traffic light, and the higher the score, the higher the demand level of indicating that the bus is preferentially passing, and the more the traffic light needs to be adjusted. In this embodiment, the total number of buses in the waiting area where the arrival time reaches the target intersection at the estimated time and the number of buses of each priority level may be counted, and the bus ratio may be calculated by the total number of buses and the total number of social vehicles, and the score may be calculated by the bus ratio, the number of buses of each priority level, the total number of social vehicles, and the number of vehicles of each vehicle type in the social vehicles.
In one example, the bus occupancy, the number of buses per priority class, the total number of social vehicles, the number of vehicles per vehicle type in the social vehicle may be calculated normalized to calculate the sum score.
In another example, the calculation may first determine a bus duty cycle, each priority level, the total number of social vehicles, a weight for each vehicle type in the social vehicles, and then calculate a weighted sum as a score.
Of course, the score may be obtained by inputting the data into a score estimation model, and the method of determining the score is not limited in this embodiment.
And S106, when the score is larger than a preset score threshold value, adjusting the traffic lights of the target intersection according to the score, so that the traffic lights indicate the buses to pass when the buses reach the waiting area.
If the score is greater than the score threshold, indicating that the traffic light is adjusted to indicate that the bus is traveling in a first pass, the traffic light needs to be adjusted according to the score.
In one example, when the traffic light indicates that the bus passes when the arrival time is estimated, the lighting time of the green light that the traffic light indicates that the bus passes is prolonged, when the traffic light indicates that the bus passes when the arrival time is estimated, the lighting time of the red light that the traffic light indicates that the bus does not pass is shortened, wherein the prolonged or shortened lighting time can be determined according to the score, for example, a difference value of the score and a score threshold is calculated, a ratio of the difference value to the score threshold is calculated, a product of the ratio and a reference time is calculated as the shortened or prolonged lighting time, wherein the reference time is an initial lighting time of the green light when the lighting time of the green light is prolonged, the reference time is an initial lighting time of the red light when the lighting time of the red light is shortened, and the longest lighting time of the prolonged green light and the shortest lighting time of the shortened red light are required to be set.
According to the bus priority passing control method, firstly, the priority level of each bus is determined according to the running data of buses between two adjacent intersections on a public traffic line, the estimated arrival time of the buses reaching a target intersection is predicted, the score is further determined according to the vehicle data of the social buses reaching the target intersection at the estimated arrival time, the priority level of the buses and the time period to which the estimated arrival time belongs, when the score is larger than the score threshold value, the traffic lights of the target intersection are adjusted according to the score, so that the traffic lights indicate the buses to pass when the buses reach a waiting area, the priority level of the buses is determined according to the running data of the buses, the score is further determined according to the vehicle data of the social buses when the buses reach the target intersection at the estimated arrival time, the traffic lights of the target intersection are adjusted according to the score when the score is larger than the score threshold value, the problem that the control scheme of the buses with vehicle-mounted equipment can change the phases of the traffic lights is imperfect is solved, the traffic lights are determined according to the running data of the buses and the vehicle data of the social buses so that the traffic lights can be adjusted, the priority level of the buses can be higher than the priority level, the traffic efficiency can be improved, and the traffic efficiency can be controlled by the priority is improved, and the traffic efficiency is better, and the traffic passing efficiency is better combined.
Examples
Fig. 2 is a flowchart of a bus priority traffic control method according to a second embodiment of the present invention, where the optimization is performed based on the first embodiment of the present invention, and as shown in fig. 2, the bus priority traffic control method includes:
s201, determining buses between two adjacent intersections on a bus line, and acquiring passenger capacity, mispoint rate and platform passenger capacity of the buses through a bus system to serve as operation data of the buses.
In one example, a positioning system such as a GPS (global positioning system) and Beidou is installed on a bus to acquire the real-time position of the bus, the real-time position of the bus can be acquired by positioning the bus through a road side positioning system, the bus positioned between two adjacent intersections on a bus line is determined through the real-time position of the bus, and the passenger capacity, the mispoint rate and the platform passenger flow of the bus are acquired from the bus system to serve as running data of the bus.
S202, determining a first weight of the passenger capacity, a second weight of the false point rate and a third weight of the platform passenger capacity aiming at each bus, wherein the first weight is positively related to the passenger capacity, the second weight is positively related to the false point rate, and the third weight is positively related to the platform passenger capacity.
For each bus, the larger the passenger capacity is, the more passengers are shunted by the bus line of the bus, the more delay times of the bus are indicated by the high error point rate, the more passengers are indicated by the platform passenger flow, and in order to improve the transportation efficiency of the bus, the bus should have higher priority, the first weight can be set to be positively related to the passenger capacity, the second weight can be set to be positively related to the error point rate, and the third weight can be set to be positively related to the platform passenger flow.
In one embodiment, each weight may be determined by a monotonically increasing function in the mathematical domain, in another embodiment, different weights may be set according to different numerical ranges, and illustratively, the passenger capacity may be divided into a first section, a second section, and a third section, where the values of the first section to the third section sequentially increase, the weight corresponding to the first section is the smallest, the weight corresponding to the third section is the largest, and after the passenger capacity is acquired, the section to which the passenger capacity belongs is determined, so as to determine the corresponding weight.
Of course, those skilled in the art may determine the weights of the passenger capacity, the error point rate and the platform passenger capacity in other manners, and may implement the positive correlation, which is not limited in this embodiment.
S203, calculating a first product of the passenger capacity and the first weight, a second product of the error point rate and the second weight and a third product of the platform passenger capacity and the third weight for each bus.
Specifically, the product of each item of data and the weight corresponding to the data is calculated as the weight of the item of data, that is, for each bus, a first product of the passenger capacity and the first weight, a second product of the point error rate and the second weight, and a third product of the platform passenger capacity and the third weight may be calculated.
S204, calculating the sum of the first product, the second product and the third product.
In this embodiment, the operation data of the bus includes the passenger capacity, the mispoint rate and the platform passenger capacity, and after calculating the products of the passenger capacity, the mispoint rate and the platform passenger capacity and the corresponding weights, the sum of the products is calculated.
S205, determining a priority level matched with the sum value in a preset sum value-level comparison table as the priority level of the bus, wherein the higher the sum value is, the higher the priority level is.
In one example, the sum-level comparison table is provided with a correspondence between a sum interval and a level range, and after the sum is calculated, the sum interval to which the sum belongs may be determined first, so as to obtain the level range corresponding to the sum interval, and the like, as the priority level of the bus.
S206, predicting the estimated arrival time of the bus in the waiting area of the target intersection, wherein the target intersection is the latter intersection of the two adjacent intersections.
In one embodiment, the distance between two adjacent intersections can be calculated, the average speed of the bus is obtained, the driving time is calculated according to the distance and the average speed, the stopping time of the bus at each station is determined according to data statistics, so that the total stopping time of the bus at the station between the two adjacent intersections is calculated, the driving time and the total stopping time are calculated, the estimated arrival time of the bus in a waiting area of a target intersection can be determined according to the current time and the value, the method for determining the estimated arrival time in the mode is simple, and the estimated arrival time can be rapidly determined.
In another embodiment, a time prediction model may be trained in advance, and road information, passenger flow information, traffic flow information, weather information, time information, running speed and position of a bus, and position of a target intersection between two adjacent intersections are obtained, where the road information includes the number of lanes, whether there is a special bus lane, the passenger flow information includes passenger flow density, the traffic flow information includes social traffic, the time information includes whether the current time is in a peak period, the target intersection is a later intersection in the two adjacent intersections, and the current time, the road information, the passenger flow information, the traffic flow information, the weather information, the time information, the running speed and position of the bus, and the position of the target intersection are further input into the pre-trained time prediction model, so as to obtain the estimated arrival time of the bus reaching the waiting area of the target intersection. By means of road information, passenger flow information, traffic flow information, weather information, time information, running speed and position of buses and the position of a target intersection between two adjacent intersections, factors such as road conditions, passenger flow information, traffic flow of social vehicles and weather are integrated, and accuracy of predicted estimated arrival time is improved.
S207, obtaining a first number of social vehicles, vehicle types and a second number of each vehicle type in the estimated arrival time arrival waiting area, counting a third number of target buses in the estimated arrival time arrival waiting area and a fourth number of target buses in each priority level.
In this embodiment, a road side system including sensors such as a laser radar and a camera may be disposed on the road side, so that vehicles on the road may be monitored by the road side system, so that social vehicles reaching the waiting area at the estimated arrival time may be predicted by the monitored data, for example, in a manner that the estimated arrival time of the bus reaching the waiting area of the target intersection may be predicted by the above-mentioned S206, the social vehicles reaching the waiting area at the estimated arrival time may be determined, and the first number of social vehicles reaching the waiting area at the estimated arrival time, the vehicle types of the social vehicles, and the second number of social vehicles of each vehicle type may be counted. And counting a third number of target buses reaching the waiting area at the estimated arrival time and a fourth number of target buses of each priority level.
The vehicle type of the social vehicle can comprise ambulances, police vehicles, fire-fighting vehicles, military vehicles and other special vehicles, as well as small-sized vehicles, medium-sized vehicles and large-sized vehicles. The weights of different vehicle types are different, the weight of the special vehicle is larger than that of the small vehicle and the medium vehicle, and the weights of the small vehicle, the medium vehicle and the large vehicle are sequentially increased.
S208, calculating the ratio of the third quantity to the first quantity to obtain the bus duty ratio.
The bus ratio represents the ratio of the bus to the social vehicle in the waiting area of the target intersection, and the larger the bus ratio is, the more the bus is compared with the social vehicle, and the vehicles in the waiting area are mainly buses.
S209, calculating the score S through a preset score calculation formula.
Figure SMS_1
In the above formula, w 1 Is a first number N of social vehicles 1 Is used for the weight of the (c),
Figure SMS_2
weight for type of social vehicle, n represents that the social vehicle has n vehicle types, w2 i Weight of the ith vehicle type, N2 i For a second number of ith vehicle type, < > or->
Figure SMS_3
For the weight of buses, m represents buses with m priority levels, w3 j Is the weight of the j-th priority level, wherein the higher the priority level, the w3 j The larger N3 j Fourth number of buses of j-th priority class, w rat Is the weight of the bus with the ratio of RAT, w T And (3) taking the weight of the time period to which the estimated arrival time belongs as a constant, wherein when the time period to which the estimated arrival time belongs is a preset time period, T=1, otherwise, T=0.
According to the formula, the more social vehicles in the waiting area, the more the number of the characteristic vehicles in the social vehicles, the larger the bus occupation ratio, the higher the priority level of the buses in the buses, the more the buses with high priority levels, the time period to which the estimated arrival time belongs to the preset peak period time period, and the higher the score is, the higher the demand level of the bus passing in the direction is, namely the higher the demand level of the bus passing preferentially, namely the score is calculated by taking the priority level of the buses, the number of the buses with each priority level, the number of the social vehicles and the number of the social vehicles with each vehicle type into consideration, so that whether the traffic light is regulated to instruct the release or not is determined through the score.
And S210, when the score is larger than a preset score threshold value, adjusting the traffic lights of the target intersection according to the score, so that the traffic lights indicate the buses to pass when the buses reach the waiting area.
In one embodiment, when the score is greater than a preset score threshold, calculating a difference value between the score and the score threshold, calculating a ratio of the difference value to the score threshold, calculating a product of the ratio and a reference time length as an adjustment time length, and adjusting traffic lights of the target intersection according to the adjustment time length to shorten waiting time length of the bus or prolong releasing time length of the bus.
In one example, when the traffic light indicates that the bus passes when the arrival time is estimated, the lighting time of the green light that the traffic light indicates that the bus passes is prolonged, when the traffic light indicates that the bus passes when the arrival time is estimated, the lighting time of the red light that the traffic light indicates that the bus does not pass is shortened, wherein the prolonged or shortened lighting time can be determined according to the score, for example, a difference value of the score and a score threshold is calculated, a ratio of the difference value to the score threshold is calculated, a product of the ratio and a reference time is calculated as the shortened or prolonged lighting time, wherein the reference time is an initial lighting time of the green light when the lighting time of the green light is prolonged, the reference time is an initial lighting time of the red light when the lighting time of the red light is shortened, and the longest lighting time of the prolonged green light and the shortest lighting time of the shortened red light are required to be set.
According to the embodiment, the priority level of the bus is determined through the passenger capacity, the mispoint rate, the platform passenger capacity and the corresponding weight of the bus, the estimated arrival time of the bus in the waiting area of the crossing is predicted, the first quantity of social vehicles, the vehicle type and the second quantity of each vehicle type in the waiting area of the estimated arrival time are further obtained, the third quantity of target buses in the waiting area of the estimated arrival time and the fourth quantity of the target buses in each priority level are counted, the ratio of the third quantity to the first quantity is calculated to obtain the bus duty ratio, the score is calculated through a preset score calculation formula, and when the score is larger than a preset score threshold value, the traffic lights of the target crossing are adjusted according to the score, so that the traffic lights indicate the bus to pass when the bus arrives in the waiting area. The priority level is determined by considering the passenger capacity, the mispoint rate and the platform passenger capacity of the buses, and the score is calculated by integrating the priority level, the number of buses of each priority level, the number of social vehicles, the types of vehicles, the number of the types of the vehicles and the bus occupation ratio to determine whether to adjust the traffic lights. The control scheme of the phase position of the traffic light can be changed by the buses with the vehicle-mounted equipment, so that buses with high priority levels can pass through the intersections preferentially, the traffic efficiency of the buses is improved, the vehicle data of social vehicles are combined, and the control scheme of the bus priority traffic is more perfect.
Examples
Fig. 3 is a schematic structural diagram of a bus priority traffic control device according to a third embodiment of the present invention. As shown in fig. 3, the bus priority traffic control device is applied to control traffic lights on a bus route, and includes:
the bus running data acquisition module 301 is configured to acquire running data of a bus between two adjacent intersections on a bus route;
a priority level determining module 302, configured to determine a priority level of the bus according to the operation data;
an arrival time estimating module 303, configured to predict an estimated arrival time of the bus in a waiting area of the bus reaching a target intersection, where the target intersection is a next intersection of the two adjacent intersections;
a social vehicle data acquisition module 304 for acquiring vehicle data of social vehicles arriving at the waiting area at the estimated arrival time;
a score determining module 305, configured to determine a score according to the vehicle data, the priority level, and a time period to which the estimated arrival time belongs;
and the traffic light adjusting module 306 is configured to adjust a traffic light of the target intersection according to the score when the score is greater than a preset score threshold, so that the traffic light indicates the bus to pass when the bus reaches the waiting area.
Optionally, the bus operation data acquisition module 301 includes:
the bus determining unit is used for determining buses between two adjacent intersections on a bus line;
the operation data acquisition unit is used for acquiring the passenger capacity, the mispoint rate and the platform passenger flow of the bus through the bus system to serve as operation data of the bus.
Optionally, the priority determining module 302 includes:
a weight determining unit, configured to determine, for each of the buses, a first weight of the passenger capacity, a second weight of the false point rate, and a third weight of the platform passenger capacity, where the first weight is directly related to the passenger capacity, the second weight is directly related to the false point rate, and the third weight is directly related to the platform passenger capacity;
a product calculation unit configured to calculate, for each of the buses, a first product of the passenger capacity and the first weight, a second product of the point error rate and the second weight, and a third product of the platform passenger capacity and the third weight;
a sum value calculation unit configured to calculate a sum value of the first product, the second product, and the third product;
And the priority level determining unit is used for determining the priority level matched with the sum value in a preset sum value-level comparison table as the priority level of the bus, wherein the higher the sum value is, the higher the priority level is.
Optionally, the arrival time estimation module 303 includes:
an information obtaining unit, configured to obtain road information, passenger flow information, traffic flow information, weather information, time information, running speed and position of a bus, and a position of a target intersection between two adjacent intersections, where the road information includes a number of lanes, whether there is a lane dedicated to the bus, the passenger flow information includes a passenger flow density, the traffic flow information includes a social traffic flow, the time information includes whether a current time is in a peak period, and the target intersection is a later intersection of the two adjacent intersections;
the time estimation unit is used for inputting the current time, the road information, the passenger flow information, the traffic flow information, the weather information, the time information, the running speed and the position of the bus and the position of the target intersection into a pre-trained time prediction model to obtain the estimated arrival time of the bus reaching the waiting area of the target intersection.
Optionally, the social vehicle data acquisition module 304 includes:
and the quantity and type statistics unit is used for acquiring a first quantity of social vehicles, vehicle types and a second quantity of each vehicle type which reach the waiting area at the estimated arrival time.
Optionally, the score determination module 305 includes:
a statistics unit, configured to count a third number of target buses reaching the waiting area at the estimated arrival time, and a fourth number of target buses of each priority level;
the bus duty ratio calculation unit is used for calculating the ratio of the third quantity to the first quantity to obtain the bus duty ratio;
a score calculating unit for calculating a score S by a preset score calculating formula:
Figure SMS_4
the method comprises the steps of carrying out a first treatment on the surface of the In the above formula, w 1 Is a first number N of social vehicles 1 Weight of->
Figure SMS_5
Weight for type of social vehicle, n represents that the social vehicle has n vehicle types, w2 i Weight of the ith vehicle type, N2 i For a second number of ith vehicle type, < > or->
Figure SMS_6
For the weight of buses, m represents buses with m priority levels, w3 j Is the weight of the j-th priority level, wherein the higher the priority level, the w3 j The larger N3 j Fourth number of buses of j-th priority class, w rat Is the weight of the bus with the ratio of RAT, w T And (3) taking the weight of the time period to which the estimated arrival time belongs as a constant, wherein when the time period to which the estimated arrival time belongs is a preset time period, T=1, otherwise, T=0.
Optionally, the traffic light adjustment module 306 includes:
the ratio calculating unit is used for calculating the difference value between the score and the score threshold value when the score is larger than the preset score threshold value, and calculating the ratio of the difference value to the score threshold value;
an adjustment time length calculation unit for calculating the product of the ratio and the reference time length as an adjustment time length;
and the time length adjusting unit is used for adjusting the traffic lights of the target intersection according to the adjusting time length so as to shorten the waiting time length of the buses or prolong the releasing time length of the buses.
The bus priority traffic control device provided by the embodiment of the invention can execute the bus priority traffic control method provided by the first embodiment and the second embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Examples
Fig. 4 shows a schematic diagram of an electronic device 40 that may be used to implement the present invention. As shown in fig. 4, the electronic device 40 includes at least one processor 41, and a memory communicatively connected to the at least one processor 41, such as a Read Only Memory (ROM) 42, a Random Access Memory (RAM) 43, etc., in which the memory stores a computer program executable by the at least one processor, and the processor 41 may perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM) 42 or the computer program loaded from the storage unit 48 into the Random Access Memory (RAM) 43. In the RAM 43, various programs and data required for the operation of the electronic device 40 may also be stored. The processor 41, the ROM 42 and the RAM 43 are connected to each other via a bus 44. An input/output (I/O) interface 45 is also connected to bus 44.
Various components in electronic device 40 are connected to I/O interface 45, including: an input unit 46 such as a keyboard, a mouse, etc.; an output unit 47 such as various types of displays, speakers, and the like; a storage unit 48 such as a magnetic disk, an optical disk, or the like; and a communication unit 49 such as a network card, modem, wireless communication transceiver, etc. The communication unit 49 allows the electronic device 40 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 41 may be various general and/or special purpose processing components with processing and computing capabilities. Some examples of processor 41 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 41 performs the respective methods and processes described above, such as the bus priority passage control method.
In some embodiments, the bus priority traffic control method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 48. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 40 via the ROM 42 and/or the communication unit 49. When the computer program is loaded into the RAM 43 and executed by the processor 41, one or more steps of the bus priority communication control method described above may be performed. Alternatively, in other embodiments, the processor 41 may be configured to perform the bus priority pass control method in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above can be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), complex Programmable Logic Devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.

Claims (8)

1. A bus priority traffic control method for controlling traffic lights on a bus lane, comprising:
acquiring operation data of buses between two adjacent intersections on a bus line;
determining the priority level of the bus according to the operation data;
predicting the estimated arrival time of the bus in a waiting area of a target intersection, wherein the target intersection is the latter intersection in the two adjacent intersections;
acquiring vehicle data of social vehicles reaching the waiting area at the estimated arrival time;
determining a score according to the vehicle data, the priority level and the time period to which the estimated arrival time belongs;
when the score is larger than a preset score threshold value, adjusting a traffic light of the target intersection according to the score, so that the traffic light indicates the bus to pass when the bus reaches the waiting area;
the determining a score according to the vehicle data, the priority level, and the time period to which the estimated arrival time belongs includes:
counting the third number of target buses reaching the waiting area at the estimated arrival time and the fourth number of target buses of each priority level;
Calculating the ratio of the third quantity to the first quantity to obtain the bus duty ratio, wherein the first quantity is the quantity of social vehicles reaching the waiting area at the estimated arrival time;
calculating a score S through a preset score calculation formula:
Figure QLYQS_1
in the above formula, w 1 Is a first number N of social vehicles 1 Is used for the weight of the (c),
Figure QLYQS_2
weight for type of social vehicle, n represents that the social vehicle has n vehicle types, w2 i Weight of the ith vehicle type, N2 i For a second number of ith vehicle type, < > or->
Figure QLYQS_3
For the weight of buses, m represents buses with m priority levels, w3 j Is the weight of the j-th priority level, wherein the higher the priority level, the w3 j The larger N3 j Fourth number of buses of j-th priority class, w rat Is the weight of the bus with the ratio of RAT, w T The weight of the time period to which the estimated arrival time belongs is T, wherein T is a constant, and when the time period to which the estimated arrival time belongs is a preset time period, T=1, otherwise, T=0;
and when the score is greater than a preset score threshold, adjusting the traffic light of the target intersection according to the score, wherein the traffic light comprises the following components:
when the score is larger than a preset score threshold, calculating a difference value between the score and the score threshold, and calculating a ratio of the difference value to the score threshold;
Calculating the product of the ratio and the reference time length to be used as the adjustment time length;
and adjusting the traffic lights of the target intersection according to the adjustment time length to shorten the waiting time length of the bus or prolong the releasing time length of the bus.
2. The bus priority traffic control method as set forth in claim 1, wherein the acquiring operation data of the bus between two adjacent intersections on the bus route comprises:
determining buses positioned between two adjacent intersections on a bus line;
and acquiring the passenger capacity, the mispoint rate and the platform passenger capacity of the bus through a bus system to serve as operation data of the bus.
3. The bus priority traffic control method as set forth in claim 2, wherein the determining the priority level of the bus based on the operation data includes:
determining, for each of the buses, a first weight of the passenger capacity, a second weight of the false point rate, and a third weight of the platform passenger capacity, the first weight being positively correlated with the passenger capacity, the second weight being positively correlated with the false point rate, the third weight being positively correlated with the platform passenger capacity;
Calculating, for each of the buses, a first product of the passenger capacity and the first weight, a second product of the point error rate and the second weight, and a third product of the platform passenger capacity and the third weight;
calculating a sum of the first product, the second product, and the third product;
and determining the priority level matched with the sum value in a preset sum value-level comparison table as the priority level of the bus, wherein the higher the sum value is, the higher the priority level is.
4. The bus priority traffic control method as set forth in claim 1, wherein predicting the estimated arrival time of the bus at the waiting area of the target intersection comprises:
acquiring road information, passenger flow information, traffic flow information, weather information, time information, running speed and position of buses and positions of target intersections between two adjacent intersections, wherein the road information comprises the number of lanes and whether special lanes for buses exist, the passenger flow information comprises passenger flow density, the traffic flow information comprises social traffic flow, the time information comprises whether the current time is in a peak period or not, and the target intersection is the latter intersection of the two adjacent intersections;
And inputting the current time, the road information, the passenger flow information, the traffic flow information, the weather information, the time information, the running speed and the position of the bus and the position of the target intersection into a pre-trained time prediction model to obtain the estimated arrival time of the bus in the waiting area of the target intersection.
5. The bus priority traffic control method as recited in any one of claims 1 to 4, wherein said acquiring vehicle data of social vehicles arriving at said waiting area at said estimated arrival time comprises:
a first number of social vehicles, vehicle types, a second number of vehicle types that arrive at the waiting area at the estimated time of arrival are obtained.
6. A bus priority traffic control apparatus for controlling traffic lights on a bus lane, comprising:
the bus running data acquisition module is used for acquiring running data of buses between two adjacent intersections on a bus line;
the priority level determining module is used for determining the priority level of the bus according to the operation data;
the arrival time estimating module is used for predicting the estimated arrival time of the bus in a waiting area of a target intersection, wherein the target intersection is the latter intersection in the two adjacent intersections;
A social vehicle data acquisition module for acquiring vehicle data of social vehicles reaching the waiting area at the estimated arrival time;
the score determining module is used for determining scores according to the vehicle data, the priority level and the time period to which the estimated arrival time belongs;
the traffic light adjusting module is used for adjusting traffic lights of the target intersection according to the score when the score is larger than a preset score threshold value, so that the traffic lights indicate the buses to pass when the buses reach the waiting area;
the score determination module includes:
a statistics unit, configured to count a third number of target buses reaching the waiting area at the estimated arrival time, and a fourth number of target buses of each priority level;
the bus duty ratio calculation unit is used for calculating the ratio of the third quantity to the first quantity to obtain the bus duty ratio, wherein the first quantity is the quantity of social vehicles reaching the waiting area at the estimated arrival time;
a score calculating unit for calculating a score S by a preset score calculating formula:
Figure QLYQS_4
in the above formula, w 1 Is a first number N of social vehicles 1 Is used for the weight of the (c),
Figure QLYQS_5
weight for type of social vehicle, n represents that the social vehicle has n vehicle types, w2 i Weight of the ith vehicle type, N2 i For a second number of ith vehicle type, < > or->
Figure QLYQS_6
For the weight of buses, m represents buses with m priority levels, w3 j Is the weight of the j-th priority level, wherein the higher the priority level, the w3 j The larger N3 j Fourth number of buses of j-th priority class, w rat Is the weight of the bus with the ratio of RAT, w T The weight of the time period to which the estimated arrival time belongs is T, wherein T is a constant, and when the time period to which the estimated arrival time belongs is a preset time period, T=1, otherwise, T=0;
the traffic light adjustment module includes:
the ratio calculating unit is used for calculating the difference value between the score and the score threshold value when the score is larger than the preset score threshold value, and calculating the ratio of the difference value to the score threshold value;
an adjustment time length calculation unit for calculating the product of the ratio and the reference time length as an adjustment time length;
and the time length adjusting unit is used for adjusting the traffic lights of the target intersection according to the adjusting time length so as to shorten the waiting time length of the buses or prolong the releasing time length of the buses.
7. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the bus priority pass control method of any one of claims 1-5.
8. A computer readable storage medium storing computer instructions for causing a processor to implement the bus priority pass control method of any one of claims 1-5 when executed.
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