Road signal lamp control system adaptive to traffic flow regulation

Abstract

The invention relates to the technical field of traffic control, and particularly discloses a road signal lamp control system capable of self-adapting to traffic flow regulation. Current road state parameters and traffic flow parameters are collected in real time through the road state collection module and the traffic flow monitoring module and sent to the data processing and analysis module, the data processing and analysis module carries out fusion analysis on received real-time data and obtains signal lamp adjustment coefficients in combination with emergency parameter information, and the signal lamp adjustment coefficients are sent to the traffic control module. A signal lamp control strategy is formulated according to the signal lamp adjustment coefficient, so that the traffic capacity of a road is improved, the traffic jam condition is relieved, the idle speed waiting time of the vehicle at the intersection is shortened, the fuel consumption and exhaust emission of the vehicle are reduced, the adaptability of the system to different environments and different traffic conditions is improved, and the reliability of the system is enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of traffic control, and specifically to a road signal light control system for adaptive traffic flow regulation. Background Art

[0002] With the acceleration of the urbanization process globally, the scale of cities is constantly expanding, and the population and the number of vehicles are increasing rapidly. With the growth of the number of vehicles, the traffic capacity of urban roads is gradually reaching saturation, and the traffic pressure is increasing year by year. Especially during the peak commuting hours and holidays, the traffic congestion phenomenon is particularly serious, bringing great troubles to people's travel.

[0003] Currently, the traffic control systems in most cities still rely on fixed signal light control and preset traffic rules. However, the actual traffic flow is dynamically changing and is affected by various factors such as road conditions, emergencies, and weather. The fixed timing scheme cannot adapt to the changes in traffic flow in real time, often resulting in vehicles waiting for a long time on some sections, while there are green lights with no vehicles on other sections, causing a waste of traffic resources and exacerbating the traffic congestion situation. Therefore, it is of great practical significance to develop a control system that can monitor traffic flow in real time and adaptively adjust the signal light time. Summary of the Invention

[0004] The purpose of the present invention is to provide a road signal light control system for adaptive traffic flow regulation to solve the above technical problems:

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A road signal light control system for adaptive traffic flow regulation, characterized in that the system includes: a road condition acquisition module, a traffic flow monitoring module, a data processing and analysis module, and a signal light control module;

[0007] The road condition acquisition module is used to acquire the conditions of the roads in the monitoring area;

[0008] The traffic flow monitoring module is set at key positions on the roads in the monitoring area and is used to monitor traffic flow parameters in real time;

[0009] The data processing and analysis module is used to receive the original data from the road condition acquisition module and the traffic flow monitoring module, and clean, integrate, and analyze it;

[0010] The signal light control module is used to receive the analysis results from the data processing and analysis module and control the signal lights according to the analysis results.

[0011] As a further description of the technical solution of the present invention, the road condition parameters obtained by the road condition acquisition module include: environmental parameters, road surface parameters, and other parameters;

[0012] The environmental parameters include precipitation, wind speed, and visibility;

[0013] The road surface parameters include road surface temperature and road surface humidity;

[0014] The other parameters include traffic accident information and road construction information.

[0015] As a further description of the technical solution of the present invention, the traffic flow parameters obtained by the traffic flow monitoring module include: lane occupancy, vehicle speed, and headway;

[0016] The lane occupancy is the proportion of the space occupied by vehicles on the road to the total road length;

[0017] The vehicle speed is the average speed of vehicles traveling on the road;

[0018] The headway is the time interval between two consecutive vehicles passing through a certain section of the road.

[0019] As a further description of the technical solution of the present invention, the working process of the data processing and analysis module includes:

[0020] Step S1: Analyze the road condition influence indicators based on the road condition parameters;

[0021] Step S2: Analyze the traffic flow influence indicators based on the traffic flow parameters;

[0022] Step S3: Comprehensively analyze the road condition influence indicators, traffic flow influence indicators, and special influences, and formulate a signal light control strategy according to the analysis results.

[0023] As a further description of the technical solution of the present invention, the working process of the step S1 includes:

[0024] Obtain the precipitation, wind speed, and visibility at the current moment, and perform normalization processing on the obtained data. Based on the weighted sum of precipitation, wind speed, and visibility, and the interaction between precipitation, wind speed, and visibility, and introduce a regulation factor to obtain an environmental influence coefficient;

[0025] Obtain the road surface temperature and road surface humidity at the current moment, and perform normalization processing on the obtained data. Based on a non-linear variation function, transform the normalized road surface temperature and road surface humidity, amplify the influence of extreme values, capture the relationship between road surface temperature and road surface humidity through an interaction function, and combine the weight factor and the regulation factor to obtain a road surface influence coefficient;

[0026] Obtain whether there are traffic accidents and road construction at the current moment, and assign values to the influence coefficients of other parameters based on the current traffic accident information and road construction information;

[0027] Obtain the standard values of the environmental influence coefficient and the road surface influence coefficient set by the system, and combine the influence coefficients of other parameters to obtain the road state influence index.

[0028] As a further description of the technical solution of the present invention, the working process of step S2 includes:

[0029] Obtain the lane occupancy rate, vehicle speed, and headway at the current moment, and perform normalization processing on the obtained data. Based on the weighted sum of the lane occupancy rate, vehicle speed, and headway, as well as the interaction between the lane occupancy rate, vehicle speed, and headway, and introduce an adjustment factor to obtain the traffic flow influence index.

[0030] As a further description of the technical solution of the present invention, the working process of step S3 includes:

[0031] Construct a calculation model for the signal light adjustment coefficient, and the expression is:

[0032] where D is the road state influence index, J is the traffic flow influence index, n is the number of lanes in the same direction, q is the emergency vehicle priority parameter, is the signal light adjustment coefficient;

[0033] When it is recognized that the vehicles on the road in the monitoring area include emergency vehicles, q = 1, otherwise, q = 0, and the emergency vehicles are identified based on RFID tags;

[0034] Compare the signal light adjustment coefficient with the standard interval of the signal light adjustment coefficient set by the system. If the signal light adjustment coefficient belongs to the standard interval of the signal light adjustment coefficient, maintain the current green light passing duration. If the signal light adjustment coefficient is higher than the standard interval of the signal light adjustment coefficient, increase the green light passing duration. If the signal light adjustment coefficient is lower than the standard interval of the signal light adjustment coefficient, reduce the green light passing duration.

[0035] As a further description of the technical solution of the present invention, the system further includes an alarm module. When the system detects an abnormal situation of the traffic signal light, it timely issues an alarm to the management personnel and provides corresponding fault information for the management personnel to quickly check and repair.

[0036] The beneficial effects of the present invention:

[0037] 1. Improve traffic efficiency: By monitoring traffic flow in real time and adaptively adjusting signal timings, it can effectively reduce the waiting time of vehicles at intersections, improve the traffic capacity of roads, and alleviate traffic congestion. For example, during peak morning and evening hours, the system can dynamically allocate signal time according to real-time traffic flow, giving vehicles reasonable passing opportunities. Compared with traditional fixed-timing schemes, the traffic efficiency of roads is improved;

[0038] 2. Reduce energy consumption and environmental pollution: Reducing the idle waiting time of vehicles at intersections reduces vehicle fuel consumption and exhaust emissions, which has a positive effect on improving urban air quality.

[0039] 3. Improve the reliability and flexibility of the system: It not only analyzes traffic condition information but also comprehensively analyzes road surface information and environmental information, and formulates signal adjustment strategies in combination with the impact of emergencies and special vehicles, improving the system's adaptability to different environments and complex traffic conditions and enhancing the system's reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The present invention will be further described below in conjunction with the accompanying drawings.

[0041] Figure 1 It is a schematic structural diagram of a road signal control system for adaptive traffic flow regulation of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0042] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0043] Please refer to Figure 1 As shown, the present invention provides a road signal control system for adaptive traffic flow regulation, characterized in that the system includes: a road condition acquisition module, a traffic flow monitoring module, a data processing and analysis module, and a signal control module;

[0044] The road condition acquisition module is used to acquire the road conditions of the monitored area;

[0045] The traffic flow monitoring module is set at key positions on the roads in the monitored area and is used to monitor traffic flow parameters in real time;

[0046] The data processing and analysis module is used to receive the original data from the road condition acquisition module and the traffic flow monitoring module, and clean, integrate, and analyze it;

[0047] The signal light control module is used to receive the analysis result from the data processing and analysis module and control the signal light according to the analysis result.

[0048] Through the above technical scheme, the present invention provides a road signal light control system. First, the current road state parameters and traffic flow parameters are collected in real time by the road state acquisition module and the traffic flow monitoring module respectively and sent to the data processing and analysis module. The data processing and analysis module integrates and analyzes the received real-time data, and obtains the signal light adjustment coefficient in combination with the emergency parameter information, and formulates the signal light control strategy according to the signal light adjustment coefficient, which not only improves the road's traffic capacity and alleviates traffic congestion, but also reduces the idling waiting time of vehicles at intersections, reduces the vehicle's fuel consumption and exhaust emissions, improves the system's adaptability to different environments and different traffic conditions, and enhances the system's reliability.

[0049] The road state parameters acquired by the road state acquisition module include: environmental parameters, road surface parameters and other parameters;

[0050] The environmental parameters include precipitation, wind speed and visibility;

[0051] The road surface parameters include road surface temperature and road surface humidity;

[0052] The other parameters include traffic accident information and road construction information.

[0053] The traffic flow parameters acquired by the traffic flow monitoring module include: lane occupancy, vehicle speed and headway;

[0054] The lane occupancy rate is the ratio of the space occupied by vehicles on the road to the total road length;

[0055] The vehicle speed is the average speed of vehicles traveling on the road;

[0056] The headway time is the time interval between two consecutive vehicles passing a certain section of the road.

[0057] The working process of the data processing and analysis module includes:

[0058] Step S1, analyzing road state impact indicators based on road state parameters;

[0059] Step S2, analyzing traffic flow impact indicators based on traffic flow parameters;

[0060] Step S3: Comprehensively analyze the road status impact index, traffic flow impact index and special impact, and formulate a traffic light control strategy based on the analysis results.

[0061] The working process of step S1 includes:

[0062] Obtain the precipitation, wind speed, and visibility at the current moment, and normalize the obtained data. Based on the weighted sum of precipitation, wind speed, and visibility, as well as the interaction between precipitation, wind speed, and visibility, and introduce a regulation factor to obtain the environmental impact coefficient;

[0063] According to the above description, construct a mathematical calculation model for the environmental impact coefficient, and the expression is as follows:

[0064]

[0065] In the formula, E is the environmental impact coefficient, is the normalized environmental parameter, i, j = 1, 2, 3, represents the normalized precipitation, represents the normalized wind speed, represents the normalized visibility, k1, k2, and k3 respectively represent the weight coefficients corresponding to precipitation, wind speed, and visibility, and θ1 is the regulation factor of the environmental impact coefficient;

[0066] Obtain the road surface temperature and road surface humidity at the current moment, and normalize the obtained data. Based on the non-linear variation function, transform the normalized road surface temperature and road surface humidity to amplify the influence of extreme values, capture the relationship between the road surface temperature and road surface humidity through the interaction function, and combine the weight factor and the regulation factor to obtain the road surface impact coefficient;

[0067] According to the above description, construct a mathematical calculation model for the road surface impact coefficient, and the expression is as follows:

[0068]

[0069] f(T 0 ) = (T 0 ) 3 ;

[0070] f(H 0 ) = (H 0 ) 3 ;

[0071] h(T 0 , H 0 ) = (T 0 * H 0 ) 2 ;

[0072] In the formula, R is the road surface impact coefficient, T 0 , H 0 are respectively the normalized road surface temperature and road surface humidity, f(T 0 ) and f(H 0) are the non-linear variation functions of the road surface temperature and road surface humidity after normalization, which are used to enhance the sensitivity to extreme values, h(T 0 , H 0 ) is the interaction function of the road surface temperature and road surface humidity after normalization, which not only considers the product effect of the two variables, but also enhances their interaction in extreme cases through squaring. θ2 is the adjustment factor of the road surface influence coefficient.

[0073] Obtain whether there are traffic accidents and road construction at the current moment, and assign values to the influence coefficients of other parameters based on the current traffic accident information and road construction information;

[0074] When there is any situation of traffic accident and road construction, the other influence parameters are assigned a value of 0.5. When there are no traffic accidents and road construction, the other influence parameters are assigned a value of 0. When there are both traffic accidents and road construction, the other influence parameters are assigned a value of 1.

[0075] Obtain the standard values of the environmental influence coefficient and the road surface influence coefficient set by the system, and combine the influence coefficients of other parameters to obtain the road state influence index;

[0076] Construct a mathematical calculation model for the road state influence index, and the expression is:

[0077] D = (k E *E + k R *R)(1 + S);

[0078] In the formula, k E and k R are the weight coefficients of the environmental influence coefficient and the road surface influence coefficient respectively, and S is the influence coefficient of other parameters.

[0079] Through the above technical solution, this embodiment provides a method for obtaining a road state influence index. First, obtain the precipitation, wind speed, and visibility at the current moment, and normalize the obtained data, and substitute it into the formula to calculate the environmental influence coefficient. Among them, the environmental influence coefficient is proportional to the precipitation and wind speed, and inversely proportional to the visibility; then, obtain the road surface temperature and road surface humidity at the current moment, and normalize the obtained data, and substitute it into the formula to calculate the road surface influence coefficient. Among them, the road surface influence coefficient is proportional to the road surface temperature and road surface humidity. Then, assign values to the influence coefficients of other parameters based on the current traffic accident information and road construction information. The value range of other influence parameters is [0,1]. Finally, substitute it into the formula D = (k E ·E + k R *R)(1 + S) to obtain the road state influence index.

[0080] The working process of step S2 includes:

[0081] Obtain the lane occupancy, vehicle speed, and time headway at the current moment, and perform normalization processing on the obtained data. Based on the weighted sum of the lane occupancy, vehicle speed, and time headway, as well as the interaction between the lane occupancy, vehicle speed, and time headway, and introduce an adjustment factor to obtain the traffic flow impact index.

[0082] Construct a mathematical calculation model for the traffic flow impact index, and the expression is:

[0083]

[0084] In the formula, J is the traffic flow impact index, O 0 , W 0 and L 0 are the lane occupancy, vehicle speed, and time headway after normalization respectively, k O , k W and k L are the weight coefficients corresponding to the lane occupancy, vehicle speed, and time headway respectively, and θ3 is the adjustment factor of the traffic flow impact index.

[0085] Through the above technical solution, this embodiment provides a calculation method for the traffic flow impact index, which obtains the lane occupancy, vehicle speed, and time headway at the current moment, performs normalization processing on the obtained data, and calculates the traffic flow impact index through the formula

[0086] The working process of step S3 includes:

[0087] Construct a calculation model for the signal light adjustment coefficient, and the expression is: Among them, D is the road state impact index, J is the traffic flow impact index, n is the number of same-direction lanes, q is the emergency vehicle priority parameter, is the signal light adjustment coefficient;

[0088] When it is recognized that the vehicles on the road in the monitoring area include emergency vehicles, q = 1, otherwise, q = 0. The emergency vehicles are identified based on RFID tags;

[0089] Emergency vehicles such as police cars, ambulances, and fire trucks with sirens.

[0090] Compare the signal light adjustment coefficient with the standard interval of the signal light adjustment coefficient set by the system. If the signal light adjustment coefficient belongs to the standard interval of the signal light adjustment coefficient, maintain the current green light passing duration. If the signal light adjustment coefficient is higher than the standard interval of the signal light adjustment coefficient, increase the green light passing duration. If the signal light adjustment coefficient is lower than the standard interval of the signal light adjustment coefficient, reduce the green light passing duration.​

[0091] When the green light passing time needs to be increased, the increased time is:

[0092]

[0093] When the green light passing time needs to be decreased, the decreased time is:

[0094]

[0095] Among them, is the standard interval of the signal light adjustment coefficient, and ρ is the conversion coefficient.

[0096] Through the above technical solutions, this embodiment provides a method for formulating a signal light adjustment strategy. Substitute the road state influence index and traffic flow influence index into the formula to obtain the signal light adjustment coefficient. Among them, q is the emergency vehicle priority parameter, n is the number of same-direction lanes, and the more the number of same-direction lanes, the lower the signal light adjustment coefficient. Compare the signal light adjustment coefficient with the standard interval of the signal light adjustment coefficient set by the system. If the signal light adjustment coefficient belongs to the standard interval of the signal light adjustment coefficient, maintain the current green light passing time. If the signal light adjustment coefficient is higher than the standard interval of the signal light adjustment coefficient, increase the green light passing time, and the increased time is: If the signal light adjustment coefficient is lower than the standard interval of the signal light adjustment coefficient, decrease the green light passing time, and the decreased time is: Among them, is the standard interval of the signal light adjustment coefficient, ρ is the conversion coefficient, is the signal light adjustment coefficient.

[0097] The system further includes an alarm module. When the system detects an abnormal situation of the traffic signal light, it timely sends an alarm to the management personnel and provides corresponding fault information for the management personnel to quickly check and repair.

[0098] The system road state acquisition module and the traffic flow monitoring module collect real-time parameters every certain period. The data processing and analysis module timely analyzes the collected real-time parameters and adjusts the traffic signal light control strategy in real time according to the analysis results.

[0099] It should be noted that the parameters in the present invention are processed through data, the calculations in the present invention are all simple numerical calculations, and the standard intervals, weight coefficients, conversion coefficients, and adjustment factors set in the present invention are all empirical data and will not be elaborated.

[0100] The above has described in detail an embodiment of the present invention, but the above content is only a preferred embodiment of the present invention and cannot be considered as limiting the scope of implementation of the present invention. Any equivalent changes and improvements made within the scope of the application of the present invention shall still fall within the scope covered by the patent of the present invention.

Claims

1. An adaptive traffic flow regulation road signal control system, characterized in that The system includes: a road condition acquisition module, a traffic flow monitoring module, a data processing and analysis module, and a signal lamp control module; The road condition acquisition module is used to acquire the conditions of the roads in the monitoring area; The traffic flow monitoring module is set at key positions on the roads in the monitoring area and is used to monitor traffic flow parameters in real time; The data processing and analysis module is used to receive the original data from the road condition acquisition module and the traffic flow monitoring module, and clean, integrate, and analyze it; The signal lamp control module is used to receive the analysis results from the data processing and analysis module and control the signal lamps according to the analysis results.

2. The road signal light control system for adaptive traffic flow regulation according to claim 1, characterized in that, The road condition parameters obtained by the road condition acquisition module include: environmental parameters, road surface parameters, and other parameters; The environmental parameters include precipitation, wind speed, and visibility; The road surface parameters include road surface temperature and road surface humidity; The other parameters include traffic accident information and road construction information.

3. An adaptive traffic flow regulation road signal control system according to claim 1, characterized in that, The traffic flow parameters obtained by the traffic flow monitoring module include: lane occupancy, vehicle speed, and headway; The lane occupancy is the ratio of the space occupied by vehicles on the road to the total road length; The vehicle speed is the average speed of vehicles traveling on the road; The headway is the time interval between two consecutive vehicles passing through a certain section of the road.

4. An adaptive traffic flow regulating road signal lamp control system according to claim 1, wherein, The working process of the data processing and analysis module includes: Step S1: Analyze the road condition impact indicators based on the road condition parameters; Step S2: Analyze the traffic flow impact indicators based on the traffic flow parameters; Step S3: Comprehensively analyze the road condition impact indicators, traffic flow impact indicators, and special impacts, and formulate a signal lamp control strategy according to the analysis results.

5. The road signal light control system for adaptive traffic flow regulation according to claim 4, characterized in that, The working process of step S1 includes: Obtain the precipitation, wind speed, and visibility at the current moment, and perform normalization processing on the obtained data. Based on the weighted sum of precipitation, wind speed, and visibility and the interaction between precipitation, wind speed, and visibility, and introduce a regulation factor to obtain the environmental impact coefficient; Obtain the road surface temperature and road surface humidity at the current moment, and perform normalization processing on the obtained data. Based on a non-linear variation function, transform the normalized road surface temperature and road surface humidity, amplify the influence of extreme values, capture the relationship between road surface temperature and road surface humidity through an interaction function, and combine the weight factor and the regulation factor to obtain the road surface impact coefficient; Obtain whether there are traffic accidents and road construction at the current moment, and assign values to the other parameter impact coefficients based on the current traffic accident information and road construction information; Obtain the standard values of the environmental impact coefficient and the road surface impact coefficient set by the system, and combine the other parameter impact coefficients to obtain the road condition impact indicators.

6. The road signal light control system for adaptive traffic flow regulation according to claim 4, wherein The working process of step S2 includes: Obtain the lane occupancy, vehicle speed, and headway at the current moment, and perform normalization processing on the obtained data. Based on the weighted sum of lane occupancy, vehicle speed, and headway and the interaction between lane occupancy, vehicle speed, and headway, and introduce a regulation factor to obtain the traffic flow impact indicators.

7. An adaptive traffic flow regulating road signal control system according to claim 4, characterized in that, The working process of step S3 includes: Construct a signal lamp adjustment coefficient calculation model, and the expression is: Among them, D is the road condition influence index, J is the traffic flow influence index, n is the number of same-direction lanes, q is the emergency vehicle priority parameter, is the signal light adjustment coefficient; When it is recognized that the vehicle on the monitored area road includes an emergency vehicle, q = 1; otherwise, q = 0. The emergency vehicle is identified based on the RFID tag. Compare the signal light adjustment coefficient with the standard interval of the signal light adjustment coefficient set by the system. If the signal light adjustment coefficient belongs to the standard interval of the signal light adjustment coefficient, maintain the current green light passing duration. If the signal light adjustment coefficient is higher than the standard interval of the signal light adjustment coefficient, increase the green light passing duration. If the signal light adjustment coefficient is lower than the standard interval of the signal light adjustment coefficient, reduce the green light passing duration.

8. The road signal light control system for adaptive traffic flow regulation according to claim 1, wherein The system further includes an alarm module. When the system detects an abnormal situation of the traffic signal light, it timely issues an alarm to the management personnel and provides corresponding fault information for the management personnel to quickly conduct troubleshooting and repair.

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