Lane congestion coefficient calculation method and device

Abstract

The invention relates to a lane congestion coefficient calculation method and device.The lane congestion coefficient calculation method comprises the following steps that a proximity sensor, a lower computer and an upper computer are provided, and the proximity sensor is installed on the ground of a lane and senses passing vehicles in real time; the proximity sensor outputs different signals when detecting that there is a vehicle above and that there is no vehicle above; the lower computer converts a signal detected by the proximity sensor into a digital signal and sends the digital signal to the upper computer, and the upper computer records and calculates a lane congestion index in any effective time period; and in any effective time period, the total time when the proximity sensor detects that there is a vehicle above is defined as the vehicle occupying time T, the total time when the proximity sensor detects that there is no vehicle above is defined as the empty vehicle time T, and the lane congestion index E is equal to the vehicle occupying time T / the empty vehicle time T. According to the lane congestion coefficient calculation method, the vehicle busy condition of the lane can be truly and effectively simulated with extremely low cost.

Description

Technical Field

[0001] The present application relates to the field of intelligent transportation technology, and in particular to a method and device for calculating lane congestion coefficient. Background Art

[0002] Lane congestion is a major challenge facing the current transportation sector. It not only affects travel efficiency but can also lead to a range of issues, including environmental pollution, increased energy consumption, and a heightened risk of traffic accidents. Accurately and efficiently calculating the lane congestion index is crucial for improving traffic management, optimizing travel decisions, promoting urban and transportation planning, advancing transportation policymaking, raising public awareness, and enabling intelligent transportation. Numerous solutions exist for calculating the lane congestion index, but most rely on technologies like video and radar combined with AI analysis algorithms. These solutions present challenges such as high cost, low efficiency, poor real-time performance, and difficulty in transitioning applications. Summary of the Invention

[0003] The first aspect of the present application provides a lane congestion coefficient calculation method, which can simulate the vehicle busyness of the lane in a real and effective manner at extremely low cost.

[0004] The lane congestion coefficient calculation method provided in the first aspect of the present application comprises the following steps:

[0005] Providing a proximity sensor, a lower computer and an upper computer, wherein the proximity sensor is installed on the road surface and senses passing vehicles in real time;

[0006] The proximity sensor outputs different signals when it detects a vehicle above and when it detects no vehicle above;

[0007] The signal detected by the proximity sensor is converted into a digital signal by the lower computer and sent to the upper computer, which records and calculates the lane congestion index within any valid time period; within any valid time period, the total time when the proximity sensor detects a vehicle above is defined as T 占车时间 The total time it takes to detect that there is no vehicle above is T 空车时间 , then the lane congestion index E 车道拥堵指数 =T 占车时间 / T 空车时间 .

[0008] In addition, the lane congestion coefficient calculation method provided in this application may also have the following additional technical features:

[0009] In an optional solution, the lane congestion coefficient calculation method further includes the following steps:

[0010] When the proximity sensor is in a detection state, as long as a vehicle is traveling or stopped above the proximity sensor, the lane is determined to be occupied, and the proximity sensor outputs a logic signal high or a digital signal 1; when no vehicle is detected traveling or stopped above, the lane is determined to be empty, and the proximity sensor outputs a logic signal low or a digital signal 0;

[0011] Define the start time of any valid time period as t0 and the end time as t n , then t0 to t n The proximity sensor will detect multiple empty and occupied states of the lane, and the time when the proximity sensor generates a signal jump each time is t1, t2...t n-1 ;

[0012] The lower computer receives the proximity sensor at t0, t1, t2...t n and transmits "occupancy information" to the host computer when the vehicle state changes from empty to occupied, and transmits "empty information" to the host computer when the vehicle state changes from occupied to empty;

[0013] The host computer analyzes the "occupied information" and "empty information", records the real-time time of the signal and stores it in the database, and calculates the "occupied time" and "empty time" within any time period of the valid detection data through database query and calculation, and obtains the congestion index of the lane.

[0014] In an optional solution, the lane occupancy time T of a single vehicle is 占1-n The calculation method is: T 占1 =(t2–t1); T 占2 =(t4–t3); T 占n =(t n –t n-1 );

[0015] Idle time T between vehicles in the lane 空1-n The calculation method is: T 空1 =(t1–t0); T 空2 =(t3–t2); T 空n =(t n+1 –t n );

[0016] The calculation method of "occupancy time" in any valid time period is: T 占车时间 =T 占1 +T 占2 +……+T 占n ;

[0017] The calculation method of "idle time" in any valid time period is: T空车时间 =T 空1 +T 空2 +……+T 空n .

[0018] In an optional solution, the lane congestion coefficient calculation method further includes pre-selection of the proximity sensor. The proximity sensor should have a sensing capability of 0-50 cm, and the output signal of the proximity sensor is an analog signal or a digital signal.

[0019] A second aspect of the present application provides a lane congestion coefficient calculation device, which is capable of executing the lane congestion coefficient calculation method provided in the first aspect, and includes a proximity sensor, a lower computer, and an upper computer;

[0020] There are multiple proximity sensors, each of which is arranged on the ground of the lane and can sense passing vehicles in real time; the lower computer is electrically connected to the multiple proximity sensors respectively, and the lower computer can convert the signals output by the proximity sensors into digital signals and transmit them to the upper computer through network communication; the upper computer can receive the digital signals transmitted by the lower computer and perform analysis and calculation.

[0021] The lane congestion coefficient calculation device provided in the second aspect of the present application can execute the lane congestion coefficient calculation method in the first aspect. Therefore, the lane congestion coefficient calculation device can also simulate the busy vehicle conditions in the lane in a real and effective manner at an extremely low cost, which is conducive to improving lane utilization, thereby greatly improving lane planning, road planning, traffic light time management and other aspects.

[0022] In an optional solution, the proximity sensor is arranged in the driving direction of the lane and is located in the middle of the lane, and the proximity sensor is located 2-4 meters behind the stop line; the proximity sensor is connected to the lower computer located on the side of the road through power and signal lines.

[0023] The beneficial effects of this application are:

[0024] The lane congestion coefficient calculation method and device provided in this application use a highly cost-effective proximity sensor to detect the "occupied time" and "empty time" on the lane, and effectively simulate the busy situation of vehicles in the lane at a very low cost. The upper computer calculates the "occupied time" and "empty time" on the lane to obtain a simple and efficient lane congestion index, which is conducive to improving lane utilization and can greatly improve lane planning, road planning, traffic light time management and other aspects.

[0025] It should be understood that the foregoing general description and the following detailed description are merely illustrative and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 A schematic diagram of the installation structure of the lane congestion coefficient calculation device provided in this application;

[0027] Figure 2 This is a diagram showing the output signal of the proximity sensor provided in this application;

[0028] Figure 3 This is the effect diagram of the lower computer providing this application sending "occupancy / vacancy" information when the signal jumps;

[0029] Figure 4 This is the effect diagram of the host computer provided in this application calculating the "occupied / empty time".

[0030] Reference numerals: proximity sensor 1 , lower computer 2 , upper computer 3 , stop line 4 .

[0031] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application. DETAILED DESCRIPTION

[0032] In order to better understand the technical solution of the present application, the embodiments of the present application are described in detail below with reference to the accompanying drawings.

[0033] It should be clear that the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other technical solutions obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0034] The terms used in the embodiments of the present application are for the purpose of describing specific embodiments only and are not intended to limit the present application. The singular forms "a", "an", "the" and "the" used in the embodiments of the present application and the appended claims are also intended to include plural forms unless the context clearly indicates otherwise.

[0035] It should be understood that the term "and / or" as used herein is merely a description of the relationship between associated objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A exists alone, A and B exist simultaneously, or B exists alone. Furthermore, the character " / " in this document generally indicates that the associated objects are in an "or" relationship.

[0036] It should be noted that the directional words such as "upper", "lower", "left", and "right" described in the embodiments of the present application are described based on the angles shown in the accompanying drawings and should not be understood as limiting the embodiments of the present application. In addition, in the context, it should be understood that when it is mentioned that an element is connected to another element "on" or "under", it can not only be directly connected to the other element "on" or "under", but also be indirectly connected to the other element "on" or "under" through an intermediate element.

[0037] like Figure 1-4 As shown, a first aspect of an embodiment of the present application provides a method for calculating a lane congestion coefficient, the method comprising the following steps:

[0038] Provide a proximity sensor 1, a lower computer 2, and an upper computer 3. Install the proximity sensor 1 on the road surface and sense passing vehicles in real time.

[0039] The proximity sensor 1 outputs different signals when it detects a vehicle above and when it detects no vehicle above;

[0040] The signal detected by the proximity sensor 1 is converted into a digital signal by the lower computer 2 and sent to the upper computer 3. The upper computer 3 records and calculates the lane congestion index within any valid time period. Within any valid time period, the total time that the proximity sensor 1 detects a vehicle above is defined as T 占车时间 The total time it takes to detect that there is no vehicle above is T 空车时间 , then the lane congestion index E 车道拥堵指数 =T 占车时间 / T 空车时间 .

[0041] Specifically, the proximity sensor 1 can be installed on the ground of the lane to sense passing vehicles in real time, and output different analog signals or digital signals when there is a car or no car above (the output signal will be different depending on the type of proximity sensor 1); the lower computer 2 is connected to the proximity sensor 1 in the lane, converts the sensing signal of the proximity sensor 1 into a digital signal, and sends the data to the upper computer 3 in real time through network communication; the upper computer 3 receives the signal from the lower computer 2, records the time when there is a car (occupied time) and the time when there is no car (empty time) above the proximity sensor 1 on the detected lane, and calculates the total "occupied time" and "empty time" within any valid time period, thereby obtaining the lane congestion index of the lane within this valid time period.

[0042] In this embodiment, the lane congestion coefficient calculation method uses a highly cost-effective proximity sensor 1 to detect the "occupied time" and "empty time" on the lane, and effectively simulates the busy situation of vehicles in the lane at a very low cost. The upper computer 3 calculates the "occupied time" and "empty time" on the lane to obtain a simple and efficient lane congestion index, which is conducive to improving lane utilization and can greatly improve lane planning, road planning, traffic light time management and other aspects.

[0043] like Figure 2-4 As shown, in a specific embodiment, the lane congestion coefficient calculation method specifically includes the following steps:

[0044] like Figure 2 As shown, when the proximity sensor 1 is in the detection state, as long as a vehicle is driving or stopped above the proximity sensor 1, the lane is determined to be occupied by a vehicle. The proximity sensor 1 will output a corresponding logic signal or digital signal according to the selected type. The proximity sensor 1 outputs a logic signal high or a digital signal 1; when no vehicle is detected driving or stopped above, the lane is determined to be empty, and the proximity sensor 1 outputs a logic signal low or a digital signal 0; and the corresponding signal is transmitted to the lower computer 2 in real time through the signal line.

[0045] Define any valid time period as starting time t0 and ending time t n , then t0 to t n During this time, proximity sensor 1 will detect multiple empty and occupied states of the lane. The time when proximity sensor 1 generates a signal jump each time is t1, t2...t n-1 ;like Figure 3 As shown in the figure, the lower computer 2 receives the signal from the proximity sensor 1. According to the signal change, the lower computer 2 sends the signal jump information to the upper computer 3 through the network cable / WIFI / 4G / 5G communication method, that is, the lower computer 2 receives the proximity sensor 1 at t0, t1, t2...t n The signal jumps between the empty car state and the occupied car state, and sends "occupied information" to the upper computer 3 when the empty car state changes to the occupied car state, and sends "empty information" to the upper computer 3 when the occupied car state changes to the empty car state.

[0046] like Figure 4 As shown, when the upper computer 3 receives information from the lower computer 2, it parses the "occupied information" and "empty information", records the real-time time of the signal and stores it in the database. Through database query and calculation, the "occupied time" and "empty time" can be calculated within any time period of the effective detection data, and the congestion index of the lane can be obtained.

[0047] In a specific embodiment, the single vehicle occupancy time T in the lane 占1-n The calculation method is:

[0048] T 占1 =(t2–t1); T 占2 =(t4–t3); T 占n =(t n –t n-1 );

[0049] Idle time T between vehicles in the lane 空1-n The calculation method is:

[0050] T 空1 =(t1–t0); T 空2 =(t3–t2); T 空n =(t n+1 –t n );

[0051] The calculation method of "occupancy time" in any valid time period is: T 占车时间 =T 占1 +T 占2 +……+T 占n ;

[0052] The calculation method of "idle time" in any valid time period is: T 空车时间 =T 空1 +T 空2 +……+T 空n .

[0053] like Figure 1 As shown, in a specific embodiment, the lane congestion coefficient calculation method also includes pre-selection of the proximity sensor 1. The proximity sensor 1 should be a sensor with a sensing capability of about 0-50 cm, and the output signal of the proximity sensor 1 is an analog signal or a digital signal.

[0054] like Figure 1 As shown, the second aspect of the embodiment of the present application provides a lane congestion coefficient calculation device, which can execute the lane congestion coefficient calculation method in the embodiment of the first aspect. The lane congestion coefficient calculation device includes a proximity sensor 1, a lower computer 2 and an upper computer 3; there are multiple proximity sensors 1, and the proximity sensors 1 are arranged on the ground of the lane and can sense passing vehicles in real time. Generally speaking, one proximity sensor 1 is arranged for each lane; the lower computer 2 is electrically connected to the multiple proximity sensors 1, and the lower computer 2 can convert the signal output by the proximity sensor 1 into a digital signal and transmit it to the upper computer 3 through network communication; the upper computer 3 can receive the digital signal transmitted by the lower computer 2 and perform analysis and calculation.

[0055] The lane congestion coefficient calculation device can effectively simulate the busy conditions of vehicles in the lane at a very low cost, which is conducive to improving lane utilization and can greatly improve lane planning, road planning, traffic light time management and other aspects.

[0056] like Figure 1 As shown, in a specific embodiment, a proximity sensor 1 is installed in the direction of travel of the lane and located in the middle of the lane. The proximity sensor 1 is also located 2-4 meters behind the stop line 4. The proximity sensor 1 is connected to a lower computer 2 located on the side of the road via power and signal lines. Specifically, the output signal of the proximity sensor 1 can be either analog or digital. The proximity sensor 1 is installed in the direction of travel of the lane, 2-4 meters behind the stop line 4, and located in the middle of the lane. This ensures that vehicles can pass or stop above the proximity sensor 1 during normal driving or under traffic control factors such as traffic lights. The power and signal lines of the proximity sensor 1 are connected to the lower computer 2 on the side of the road, with power supply provided by the power line and signal transmission achieved via the signal line.

[0057] The above are merely preferred embodiments of the present application and are not intended to limit the present application. Those skilled in the art will readily appreciate that various modifications and variations are possible. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present application shall be included within the scope of protection of the present application.

Claims

1. A method for calculating lane congestion coefficient, characterized in that: The following steps are involved: Providing a proximity sensor, a lower computer and an upper computer, wherein the proximity sensor is installed on the road surface and senses passing vehicles in real time; The proximity sensor outputs different signals when it detects a vehicle above and when it detects no vehicle above; The signal detected by the proximity sensor is converted into a digital signal by the lower computer and sent to the upper computer, and the upper computer records and calculates the lane congestion index within any valid time period; In any valid time period, the total time that the proximity sensor detects a vehicle above is defined as T 占车时间 The total time it takes to detect that there is no vehicle above is T 空车时间 , then the lane congestion index E 车道拥堵指数 =T 占车时间 / T 空车时间 .

2. The lane congestion coefficient calculation method according to claim 1, characterized in that: The following steps are involved: When the proximity sensor is in a detection state, as long as a vehicle is traveling or stopped above the proximity sensor, the lane is determined to be occupied, and the proximity sensor outputs a logic signal high or a digital signal 1; when no vehicle is detected traveling or stopped above, the lane is determined to be empty, and the proximity sensor outputs a logic signal low or a digital signal 0; Define the start time of any valid time period as t0 and the end time as t n , then t0 to t n The proximity sensor will detect multiple empty and occupied states of the lane, and the time when the proximity sensor generates a signal jump each time is t1, t2...t n-1 ; The lower computer receives the proximity sensor at t0, t1, t2...t n The signal jump generated between the empty car state and the loaded car state is sent to the host computer "occupied information", and the signal jump generated between the empty car state and the loaded car state is sent to the host computer "empty information"; The host computer analyzes the "occupied information" and "empty information", records the real-time time of the signal and stores it in the database. Through database query and calculation, it calculates the "occupied time" and "empty time" within any time period of valid detection data, and obtains the congestion index of the lane.

3. The lane congestion coefficient calculation method according to claim 2, characterized in that: Bicycle occupancy time in the lane T 占1-n The calculation method is: T 占1 =(t2–t1); T 占2 =(t4–t3); T 占n =(t n –t n-1 ); Idle time T between vehicles in the lane 空1-n The calculation method is: T 空1 =(t1–t0); T 空2 =(t3–t2); T 空n =(t n+1 –t n ); The calculation method of "occupancy time" in any valid time period is: T 占车时间 =T 占1 +T 占2 +……+T 占n ; The calculation method of "idle time" in any valid time period is: T 空车时间 =T 空1 +T 空2 +……+T 空n .

4. The method for calculating lane congestion coefficient according to any one of claims 1 to 3, characterized in that: The method also includes pre-selection of the proximity sensor. The proximity sensor should have a sensing capability of 0-50 cm, and the output signal of the proximity sensor is an analog signal or a digital signal.

5. A lane congestion coefficient calculation device, characterized in that: The lane congestion coefficient calculation device is capable of executing the lane congestion coefficient calculation method according to any one of claims 1 to 4, and the lane congestion coefficient calculation device includes a proximity sensor, a lower computer, and a host computer; There are multiple proximity sensors, each of which is arranged on the ground of the lane and can sense passing vehicles in real time; The lower computer is electrically connected to the plurality of proximity sensors respectively, and can convert the signals output by the proximity sensors into digital signals and transmit them to the upper computer via network communication; the upper computer can receive the digital signals transmitted by the lower computer and perform analysis and calculation.

6. The lane congestion coefficient calculation device according to claim 5, characterized in that: The proximity sensor is arranged in the driving direction of the lane and is located in the middle of the lane, and the proximity sensor is located 2-4 meters behind the stop line; the proximity sensor is connected to the lower computer located on the side of the road through a power supply and a signal line.

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