A vehicle screening method, navigation method and system, device and storage medium

Abstract

Embodiments of the present application disclose a vehicle screening method, a navigation method and system, an electronic device and a storage medium. The method comprises: obtaining vehicle passing information on a green wave channel; determining vehicle driving characteristic data on the green wave channel according to the passing information and the toll gate information contained in the green wave channel; determining whether the vehicle meets the driving requirements of the green wave channel according to the driving characteristic data; and determining the vehicle that does not meet the driving requirements of the green wave channel. The vehicle screening scheme provided by the embodiments of the present application screens the vehicle that does not meet the driving requirements of the green wave channel according to the driving characteristic data of the vehicle, so as to plan a targeted green wave channel bypass route, which can reduce the adverse effect on the vehicles that comply with the driving requirements on the green wave channel, and improve the overall green wave passing effect.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of intelligent transportation, and in particular, to a vehicle screening method, a navigation method and system, an electronic device, and a storage medium. BACKGROUND

[0002] In order to solve the problem of urban traffic congestion and improve the intelligent level of urban traffic, an intelligent traffic scheme for realizing green wave traffic by green wave speed is proposed in the field, that is, by limiting the speed of vehicles on the arterial road, the vehicles will encounter a green light when passing through the intersection in front of them if they travel at the specified speed, thereby improving the efficiency of the road. The channel that can realize "one green light" by the proposed green wave speed is also called a green wave channel. However, not all drivers will travel at this speed (for example, habitual slow driving, etc.), thereby causing road congestion. In order to ensure the smoothness of the green wave channel (generally a main road), the vehicles that cause the impact need to be analyzed and screened out for subsequent targeted processing to reduce the impact of these vehicles on the overall green wave channel and ensure the overall effectiveness of the green wave channel scheme.

[0003] Therefore, it can be seen that effectively and accurately screening out vehicles that are not suitable for driving on the green wave channel is the basis for ensuring the overall effectiveness of the green wave channel scheme. SUMMARY

[0004] The embodiments of the present disclosure provide a vehicle screening method, a navigation method and system, an electronic device, and a storage medium. The driving feature data of the vehicle is obtained by summarizing and analyzing the passing information of the vehicle on the green wave channel, and whether the vehicle meets the driving requirements of the green wave channel is determined based on the driving feature data of the vehicle on one or more green wave channels that have been driven through, thereby providing an accurate data basis for subsequent intelligent traffic guidance based on the determination result and improving the overall effectiveness of the green wave traffic scheme.

[0005] In one aspect, the present disclosure provides a vehicle screening method, comprising:

[0006] obtaining passing information of a vehicle on a green wave channel;

[0007] determining driving feature data of the vehicle on the green wave channel according to the passing information and loop information contained in the green wave channel;

[0008] determining whether the vehicle meets the driving requirements of the green wave channel according to the driving feature data;

[0009] determining the vehicle that does not meet the driving requirements of the green wave channel.

[0010] In another aspect, the embodiments of the present disclosure also provide a navigation method, comprising:

[0011] obtaining driving data of the vehicle, wherein the driving data comprises an identifier of whether the vehicle meets the green wave channel driving requirement determined by the vehicle screening method according to any one of the embodiments of the present disclosure;

[0012] In the case that the vehicle does not meet the green wave channel driving requirement, excluding the green wave channel in the electronic map for route planning of the vehicle.

[0013] In another aspect, the embodiments of the present disclosure also provide a navigation system, comprising:

[0014] a server and a vehicle-mounted device;

[0015] The server is configured to determine whether the vehicle to which the vehicle-mounted device belongs meets the green wave channel driving requirement according to the vehicle screening method according to any one of the embodiments of the present disclosure, and to issue a green wave channel bypass instruction to the vehicle-mounted device in the case that the vehicle does not meet the green wave channel driving requirement.

[0016] The vehicle-mounted device is configured to exclude the green wave channel in the electronic map for route planning according to the green wave channel bypass instruction.

[0017] In another aspect, the embodiments of the present disclosure also provide an electronic device, comprising:

[0018] one or more processors;

[0019] a storage device configured to store one or more programs,

[0020] When the one or more programs are executed by the one or more processors, the one or more processors implement the vehicle screening method according to any one of the embodiments of the present disclosure, or implement the navigation method according to any one of the embodiments of the present disclosure.

[0021] In another aspect, the embodiments of the present disclosure also provide a computer-readable storage medium having a computer program stored thereon, which is executed by a processor to implement the vehicle screening method according to any one of the embodiments of the present disclosure, or implement the navigation method according to any one of the embodiments of the present disclosure.

[0022] Other aspects can become apparent from the following detailed description, taken in conjunction with the accompanying drawings, illustrating the embodiments. BRIEF DESCRIPTION OF DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present disclosure, and for those skilled in the art, other drawings can be obtained from the structures shown in the drawings without creative labor.

[0024] Figure 1 is a flow chart of a vehicle screening method provided by an embodiment of the present application;

[0025] Figure 2 is a schematic diagram of a green wave channel first time range calculation method provided by an embodiment of the present application;

[0026] Figure 3 is a flow chart of another vehicle screening method provided by an embodiment of the present application;

[0027] Figure 4 is a flow chart of a navigation method provided by an embodiment of the present application;

[0028] Figure 5 is a flow chart of another navigation method provided by an embodiment of the present application;

[0029] Figure 6 is a structural schematic diagram of a navigation system provided by an embodiment of the present application.

[0030] The implementation, functional features and advantages of the present application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0031] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of protection of the present application.

[0032] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present application are only used to explain the relative positional relationship, movement condition, etc. between components in a certain posture (as shown in the drawings), and if the certain posture changes, the directional indications also change accordingly.

[0033] In addition, the description such as "first", "second" and the like in the present application is only for the purpose of description, and cannot be understood as indicating or implying the relative importance of the indicated technical features or implicitly indicating the number of the indicated technical features. Therefore, the features limited by "first", "second" can explicitly or implicitly include at least one of the features. In the description of the present application, the meaning of "multiple" is at least two, such as two, three, etc., unless otherwise specifically limited.

[0034] In the present application, unless otherwise explicitly specified and limited, the terms "connection", "fixation" and the like should be understood in a broad sense, for example, "fixation" can be fixed connection, or detachable connection, or integral; can be mechanical connection, or electrical connection; can be directly connected, or indirectly connected through an intermediate medium, can be the internal communication of two elements or the interaction relationship of two elements, unless otherwise explicitly limited. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0035] In addition, the technical solutions among various embodiments of the present application can be combined with each other, but it must be based on the fact that a person skilled in the art can realize it, when the combination of technical solutions appears contradictory or unachievable, it should be considered that the combination of technical solutions does not exist, nor within the protection scope required by the present application.

[0036] Before starting the description of the embodiments of the present disclosure, first introduce the green wave traffic plan. "Green wave" is a kind of urban traffic control system, through actively controlling a large number of intersection traffic lights, to adjust the passing time of intersection to the direction with large traffic flow, to avoid congestion, and the green wave speed is the recommended speed of the vehicle driving on the road after starting the green wave control. Under the overall control of the green wave system, the vehicle maintains the green wave speed and drives on the green wave channel, then as many green lights as possible can be passed, thereby the passing efficiency of the urban traffic system can be improved.

[0037] It can be seen that the green wave passing is an intelligent scheme of vehicle-road cooperation, and the effectiveness of the scheme is affected by multiple factors. Among them, the driving characteristics of individual vehicles have a significant impact on the effectiveness of the overall scheme. Although the green wave speed is given to the vehicles driving on the green wave channel in the green wave passing scheme, some vehicles do not drive according to the recommended speed due to some reasons, and the slow or fast driving of these vehicles will adversely affect the driving of other vehicles on the green wave channel according to the recommended green wave speed, and further affect the effectiveness of the overall green wave channel. Therefore, in order to further improve the overall effectiveness of the green wave channel scheme, it is necessary to screen out these vehicles that are not suitable for driving on the green wave channel, and through further traffic guidance, guide these vehicles to select other non-green wave channels with similar traffic costs, so as to reduce the driving of these vehicles on the green wave channel according to the recommended green wave speed, and effectively guarantee the effectiveness of the green wave channel scheme.

[0038] The embodiments of the present disclosure provide a vehicle screening method, as shown in Figure 1 , comprising:

[0039] Step 110, acquiring vehicle passing information on the green wave channel;

[0040] Step 120, determining the driving feature data of the vehicle on the green wave channel according to the passing information and the included toll information of the green wave channel;

[0041] Step 130, judging whether the vehicle meets the green wave channel driving requirement according to the driving feature data;

[0042] Step 140, determining the vehicle that does not meet the green wave channel driving requirement.

[0043] In some example embodiments, the driving feature data includes one or more of the following:

[0044] The number of times that the vehicle is repeatedly detected on the same toll, the passing time length of the vehicle on the green wave channel, and the instantaneous speed of the vehicle passing through the included toll of the green wave channel.

[0045] It should be noted that the green wave channel is a green wave channel set in the traffic system, and one green wave channel includes a starting point and an ending point. Generally, the starting point is a traffic light intersection, and the ending point is a traffic light intersection. A green wave channel includes multiple tolls, and each toll is provided with a detection device to collect vehicle passing data. In some example embodiments, the toll can be a traffic light intersection or a non-traffic light intersection. The traffic light intersection is also a toll, and is provided with a toll detection device.

[0046] The detection device includes one or more of the following: a camera, a speed radar, a DSRC (dedicated short-range communication technology) device, etc. It is not limited to the aspects exemplified in the embodiments of the present disclosure.

[0047] In some example embodiments, step 110 includes: obtaining vehicle passing information on the green wave channel within a set time length, which is also referred to as a green wave channel data analysis time length. In some embodiments, the set time length is determined according to the length of the green wave channel and the set slowest speed of road driving. For example, the green wave channel is 1 km long, and the set slowest speed of road driving is 20 km / h, then the set time length = 1 / 20 h. It can be seen that within the set time length, the vehicle can normally pass through the green wave channel. It should be noted that for different vehicles, the corresponding start and end time can be the same or different when the set time length is the same. In some example embodiments, when the screening scheme involves multiple green wave channels, the set time length (green wave channel data analysis time length) corresponding to each green wave channel is independently set or determined.

[0048] In some example embodiments, step 110 includes: obtaining the passing information of the vehicle passing through each toll according to the toll detection device on the toll on the green wave channel.

[0049] The vehicle passage information includes: vehicle identification, checkpoint identification, and passage time; or, it may also include: instantaneous vehicle speed.

[0050] In some exemplary embodiments, the vehicle identification includes a license plate number and a vehicle body color. That is, a vehicle is uniquely identified based on its license plate number and vehicle body color, and this vehicle identification can be obtained through a camera at a checkpoint. In some exemplary embodiments, the vehicle identification can also be a unique vehicle number obtained through DSRC (Distributed Vehicle Recognition Code).

[0051] In some exemplary embodiments, the pre-configured green wave channel is shown below:

[0052] Table 1 - Green Wave Channel Configuration Information

[0053] Channel coding Bayonet coding information Green wave speed (km / h) 1 k1, k2, k3 40 2 k5, k6, k7, k8 50

[0054] Green Wave Channel 1 includes three checkpoints: k1, k2, and k3. K1 is the starting point, and k3 is the ending point, both of which are traffic light intersections. K2 is an intermediate checkpoint, which may or may not be a traffic light intersection. The green wave speed of Green Wave Channel 1 is 40 km / h. Green Wave Channel 2 includes four checkpoints: k5, k6, k7, and k8. K5 is the starting point, and k8 is the ending point, both of which are traffic light intersections. K6 and k7 are intermediate checkpoints, which may or may not be traffic light intersections. The green wave speed of Green Wave Channel 2 is 50 km / h.

[0055] In some exemplary embodiments, the number of times the vehicle is repeatedly detected at the same checkpoint is determined based on the number of vehicle passage information records obtained by the detection device at a checkpoint.

[0056] It should be noted that in the vehicle detection scheme of the relevant checkpoint detection equipment, when a vehicle passes through the checkpoint normally, only one vehicle passage information is generally generated and recorded in a short period of time. However, when a vehicle malfunctions and stops, or travels below a certain threshold speed without a red light, multiple vehicle passage information records will be triggered in a short period of time. It can be seen that when the same checkpoint detection equipment detects and records multiple vehicle passage information records for the same vehicle, it indicates that the vehicle may have engaged in abnormal driving. That is, if the same vehicle is detected multiple times at the same checkpoint and multiple vehicle passage information records are generated, it is determined that the vehicle has been repeatedly detected at the same checkpoint. For example, if vehicle A is detected twice at checkpoint k2, the corresponding number of times it has been repeatedly detected = 2 - 1 = 1; if it is detected 10 times, the corresponding number of times it has been repeatedly detected = 10 - 1 = 9. Those skilled in the art will know that by analyzing the vehicle identification and passage time in the vehicle passage information at the checkpoint, it is possible to determine whether each vehicle has been repeatedly detected at that checkpoint.

[0057] It should be noted that the repeated detection of the vehicle on the same passageway in the embodiments of the present disclosure refers to the repeated detection of the vehicle in the process of passing through the passageway once, and the specific scheme of detecting the vehicle and generating the passing record is implemented according to the related scheme and is not discussed in detail in the present application. It can be a camera snapshot system for detection and generation of passing record, or a DSRC device for detection and generation of passing record, and is not limited to a specific aspect.

[0058] In some example embodiments, the passing time of the vehicle on the green wave channel in the driving feature data is determined according to the passing information of the vehicle obtained by the detection device at the end passageway and the start passageway of the green wave channel, that is, according to the time a1 of the vehicle passing through the start passageway of the green wave channel and the time a2 of the vehicle passing through the end passageway of the green wave channel, the passing time T of the vehicle on the green wave channel is determined.

[0059] In some example embodiments, the green wave channel is one or more. In the case of one green wave channel, it is determined whether the vehicle meets the green wave channel driving requirement according to the driving feature data of the vehicle on the green wave channel. In the case of multiple green wave channels, it is determined whether the vehicle meets the green wave channel driving requirement according to the driving feature data of the vehicle on each green wave channel.

[0060] In some example embodiments, the determination of the driving feature data of the vehicle on the green wave channel in step 120 comprises: determining the driving feature data of the vehicle on each green wave channel.

[0061] In some example embodiments, the determination of whether the vehicle meets the green wave channel driving requirement according to the driving feature data in step 130 comprises:

[0062] When it is determined according to the driving feature data that at least one of the following conditions is met, it is determined that the vehicle does not meet the green wave channel driving requirement:

[0063] D1, the cumulative number of times that the vehicle is repeatedly detected on the same passageway in one or more passageways included in the green wave channel is greater than a first number threshold;

[0064] D2, the cumulative number of times that the passing time of the vehicle on one or more green wave channels is not within the first time range corresponding to the green wave channel is greater than a second number threshold;

[0065] D3, the cumulative number of times that the instantaneous speed of the vehicle passing through the passageway on one or more green wave channels is not within the first speed range corresponding to the green wave channel is greater than a third number threshold.

[0066] In some example embodiments, when the green wave channel is one green wave channel, and the second number threshold is 0, step 130 comprises:

[0067] According to the driving feature data, when at least one of the following conditions is met, it is determined that the vehicle does not meet the green wave channel driving requirements:

[0068] C1, the number of times that the vehicle is repeatedly detected in the same gap in the one green wave channel is greater than a first number threshold;

[0069] C2, the passing time of the vehicle on the one green wave channel is not within the first time range corresponding to the green wave channel;

[0070] C3, the number of times that the instantaneous speed of the vehicle passing through the gap on the one green wave channel is not within the first speed range corresponding to the green wave channel is greater than a third number threshold.

[0071] It can be seen that, in the case of one green wave channel, conditions D1-D3 correspond to C1-C3.

[0072] For example, green wave channel 1 includes three gaps k1, k2, and k3, and the number of times that vehicle A is detected on the three gaps is 1, 3, and 4 respectively. Vehicle A is repeatedly detected on k2 and k3, the number of times of repetition on k2 is 3-1=2, and the number of times of repetition on k3 is 4-1=3. Therefore, the number of times that vehicle A is repeatedly detected on the same gap in the gaps included in green wave channel 1 is 2+3=5. In the case of a first number threshold of 4, vehicle A meets condition C1.

[0073] For example, the passing time T of vehicle A on the green wave channel 1 is a2-a1, and the first time range corresponding to the green wave channel is a time range greater than or equal to the shortest time T1 and less than or equal to the longest time T2. When T is greater than or equal to T1 and less than or equal to T2, the passing time T of the vehicle on the green wave channel is within the first time range corresponding to the green wave channel. When T is less than T1 or greater than T2, the passing time T of the vehicle on the green wave channel is not within the first time range corresponding to the green wave channel; in this case, condition C2 is met.

[0074] In some example embodiments, the shortest time consumption T1 = L / V - t1 - t2, and the longest time consumption T2 = L / V + t1 + t2, where L is the length of the green wave channel, V is the green wave speed of the green wave channel, t1 is the green light duration of the starting intersection of the green wave channel, and t2 is the green light duration of the ending intersection of the green wave channel. It can be seen that the first speed range corresponding to each green wave channel is determined according to the length of each green wave channel, the corresponding green wave speed, and the green light duration of the starting and ending intersections of each green wave channel.

[0075] In some example embodiments, the length of the green wave channel is obtained according to preset configuration data, or is calculated according to electronic map data, and is not limited to a specific manner.

[0076] In some example embodiments, the first speed range corresponding to the green wave channel is a speed range greater than or equal to the minimum speed V1 and less than or equal to the maximum speed V2.

[0077] where V1 = L / T2, V2 = L / T1; T1 = L / V - t1 - t2, T2 = L / V + t1 + t2.

[0078] T1 is the shortest time consumption, T2 is the longest time consumption, L is the length of the green wave channel, V is the green wave speed of the green wave channel, t1 is the green light duration of the starting intersection of the green wave channel, and t2 is the green light duration of the ending intersection of the green wave channel.

[0079] It can be seen that the first speed range corresponding to each green wave channel is determined according to the slowest time consumption and the fast time consumption allowed by each green wave channel. According to the determination method of T1 and T2, it can be understood that the first speed range corresponding to each green wave channel is determined according to the length of each green wave channel, the corresponding green wave speed, and the green light duration of the starting and ending intersections of each green wave channel.

[0080] For example, the green wave channel 1 includes three sockets k1, k2, k3, and the vehicle A has three corresponding passing records of instantaneous speeds v1, v2, v3. The first speed range corresponding to the green wave channel is the speed range greater than or equal to the minimum speed V1 and less than or equal to the maximum speed V2. For example, v1 is greater than or equal to V1 and v1 is less than or equal to V2, so the instantaneous speed at the socket k1 is within the first speed range corresponding to the green wave channel. If v2 is less than V1, the instantaneous speed at the socket k2 is not within the first speed range corresponding to the green wave channel. If v3 is greater than V2, the instantaneous speed at the socket k3 is not within the first speed range corresponding to the green wave channel. The cumulative number of times that the instantaneous speed of the vehicle A passing through the socket is not within the first speed range corresponding to the green wave channel is 1+1=2. If the third number threshold is 3, the number of times that the instantaneous speed of the vehicle A passing through the socket is not within the first speed range corresponding to the green wave channel is 2, which is less than the third number threshold 3, and does not meet the condition C3.

[0081] In some example embodiments, in the case of one green wave channel, when it is determined that the conditions C1, C2 or C3 are met according to the driving feature data of the vehicle, it is determined that the vehicle does not meet the green wave channel driving requirement. Alternatively, when it is determined that two of the conditions are met, it is determined that the vehicle does not meet the green wave channel driving requirement. Alternatively, when it is determined that all three conditions are met, it is determined that the vehicle does not meet the green wave channel driving requirement. The specific aspects can be determined according to application requirements.

[0082] In some example embodiments, the cumulative number of times that the vehicle is repeatedly detected in the same socket included in one or more green wave channels in D1 is also referred to as the cumulative number of times that the vehicle is repeatedly detected in one or more green wave channels. The cumulative number of times that the passing time of the vehicle in one or more green wave channels is not within the first time range corresponding to the home green wave channel in D2 is also referred to as the cumulative number of times that the vehicle has unreasonable time consumption in one or more green wave channels. The cumulative number of times that the instantaneous speed of the vehicle passing through the socket in one or more green wave channels is not within the first speed range corresponding to the home green wave channel in D3 is also referred to as the cumulative number of times that the vehicle has unreasonable speed in one or more green wave channels.

[0083] In some example embodiments, the passing records are detected and formed based on a camera snapshot scheme. At this time, the cumulative number of times that the vehicle is repeatedly detected in one or more green wave channels is also referred to as the cumulative number of times that the vehicle is repeatedly snapped in one or more green wave channels.

[0084] For example, in some example embodiments, the green wave channel is 2, green wave channel 1 includes 3 sockets: k1, k2 and k3, and green wave channel 2 includes 4 sockets: k5, k6, k7 and k8. The vehicle A accumulates the number of repeated detections on the same socket in the sockets included in the green wave channel 1 for 4 times, and accumulates the number of repeated detections on the same socket in the sockets included in the green wave channel 2 for 6 times, and the first number threshold is 8; the accumulated number of repeated detections on the same socket in the sockets included in the two green wave channels = 4+6 = 10 is greater than the first number threshold 8, so the driving feature data of vehicle A meets the condition D1.

[0085] The passing time T-1 of vehicle A on the green wave channel 1 is not within the first time range (T1-1, T2-1) corresponding to the green wave channel 1, and the passing time T-2 of vehicle A on the green wave channel 2 is not within the first time range (T1-2, T2-2) corresponding to the green wave channel 2. The accumulated number of times that the passing time of vehicle A on the two green wave channels is not within the first time range corresponding to the belonging green wave channel = 1+1 = 2. If the second number threshold is 1, 2>1, then the driving feature data of vehicle A meets the condition D2; if the second number threshold is 2, then the driving feature data of vehicle A does not meet the condition D2.

[0086] The number of times that the instantaneous speed of vehicle A passing through the socket on the green wave channel 1 is not within the first speed range (V1-1, V2-1) corresponding to the green wave channel 1 is 2, and the number of times that the instantaneous speed of vehicle A passing through the socket on the green wave channel 2 is not within the first speed range (V1-2, V2-2) corresponding to the green wave channel 2 is 3. The accumulated number of times that the instantaneous speed of vehicle A passing through the socket on the two green wave channels is not within the first speed range corresponding to the belonging green wave channel = 2+3; if the third number threshold = 4, 5>4, then the driving feature data of vehicle A meets D3, and if the third number threshold = 6, then the driving feature data of vehicle A does not meet D3.

[0087] In some example embodiments, according to the driving feature data of the vehicle on one or more green wave channels, when the above conditions D1, D2 or D3 are met, it is determined that the vehicle does not meet the green wave channel driving requirement; or, when two of the above conditions are met, it is determined that the vehicle does not meet the green wave channel driving requirement; or, when all the above three conditions are met, it is determined that the vehicle does not meet the green wave channel driving requirement. The specific aspects can be determined according to application requirements.

[0088] According to the above examples, it can be understood that whether the vehicle meets the green wave channel driving requirement can be determined according to the driving feature data on one green wave channel, or can be determined according to the driving feature data on multiple green wave channels, and the determination can be flexibly selected according to the needs. Correspondingly, the first number threshold, the second number threshold and / or the third number threshold can be flexibly determined for different schemes of determining according to the driving feature data on one green wave channel or multiple green wave channels; optionally, the first number threshold, the second number threshold and / or the third number threshold can also be flexibly determined according to the number of tollbooths contained in one or more green wave channels.

[0089] In some example embodiments, the permitted minimum time consumption T1 and the maximum time consumption T2 of one green wave channel are determined according to the following manner:

[0090] For a green wave channel with a length L and a recommended green wave speed V, the length of the channel is theoretically L / V, and the vehicle drives at the reference green wave speed V, but there is still an actual speed range, and in the fastest case, it is the green light time t1 and t2 of the start and end intersections of the green wave channel in advance, that is, the minimum time consumption T1 = L / V-t1-t2; in the slowest case, it is the green light time t1 and t2 of the start and end intersections of the green wave channel in delay, that is, the maximum time consumption T2 = L / V+t1+t2.

[0091] It should be noted that from the actual scene, when a green wave channel includes multiple traffic lights, it can be abstracted into a section including two traffic lights of the start and end, and the traffic lights in the middle of the road are ignored; therefore, when a vehicle drives at the fastest speed (it cannot be too fast otherwise it will be blocked by the traffic light) on the green wave channel, it passes through when the reading of the previous traffic light ends and the next traffic light starts to change; when it drives at the slowest speed (it cannot be too slow otherwise it will also be blocked by the traffic light), it passes through when the reading of the previous traffic light starts and the next traffic light ends; as shown in Figure 2 .

[0092] Therefore, during the driving of the vehicle, considering the error factor and making the time length or speed range have greater inclusiveness in accordance with the actual scene, the reference theoretical time consumption L / V, the minimum time consumption is the case of passing through at the allowed fastest speed, that is, L / V minus the time length of two traffic lights; and the maximum time consumption is the case of passing through at the allowed slowest speed, that is, L / V plus the time length of two traffic lights.

[0093] Correspondingly, according to the minimum time consumption T1 and the maximum time consumption T2, the permitted speed range of the vehicle actual driving of the green wave channel, that is, the first speed range (V1, V2), V1 = L / T2, V2 = L / T1, can be calculated under the demand of the overall green wave speed V.

[0094] It can be seen that, according to the vehicle screening scheme provided by the embodiments of the present disclosure, the vehicle can be screened according to the driving feature data of the vehicle on one or more green wave channels, and the screening can be performed on three dimensions included in the driving feature data, or on one or two dimensions, to determine whether the vehicle meets the driving requirements of the green wave channel.

[0095] It should be noted that, in the step 130, the "green wave channel" in the "green wave channel driving requirement" does not specifically refer to the green wave channel from which the driving feature data is obtained. In the case where the green wave channel driving requirement is not met, it indicates that the driving characteristics of the vehicle are not suitable for driving on the green wave channel, and if the vehicle continues to drive on the green wave channel, it may affect the driving of other vehicles that meet the requirements, and ultimately affect the overall green wave traffic. Therefore, the subsequent processing will guide the vehicle to continue driving on a non-green wave channel; in the case where the green wave channel driving requirement is met, it indicates that the driving characteristics of the vehicle are suitable for driving on the green wave channel, and the vehicle can continue to drive on the green wave channel.

[0096] The embodiments of the present disclosure also provide a vehicle screening method, as shown in Figure 3 The method comprises the following steps:

[0097] In the step 310, the passing information of a plurality of vehicles on one or more green wave channels is obtained.

[0098] In the step 320, the driving feature data of each vehicle on one or more green wave channels is determined respectively according to the passing information and the loop information contained in the one or more green wave channels.

[0099] In the step 330, the first n vehicles with the greatest risk of causing congestion on the green wave channel are determined according to the driving feature data of each vehicle, and n is an integer greater than 0.

[0100] In some exemplary embodiments, the driving feature data of each vehicle on a green wave channel comprises one or more of the following:

[0101] The number of times that the vehicle is repeatedly detected on the same loop, the passing time of the vehicle on the green wave channel, and the instantaneous speed of the vehicle passing through the loop contained in the green wave channel.

[0102] In some exemplary embodiments, the step 330 comprises:

[0103] The number of times that each vehicle does not meet the green wave channel driving requirement is obtained through the driving feature data of each vehicle, and the first n vehicles with the greatest risk of causing congestion on the green wave channel are determined according to the number of times that each vehicle does not meet the green wave channel driving requirement.

[0104] In some example embodiments, the step 330 of obtaining the number of times each vehicle does not meet the requirements for driving in the green wave channel through the driving feature data of each vehicle includes:

[0105] respectively determining the cumulative number of times each vehicle is repeatedly detected in the same tollbooth included in one or more of the green wave channels, denoted as the cumulative number of times X of repeatedly detected vehicles;

[0106] respectively determining the cumulative number of times each vehicle does not meet the requirements for driving in the green wave channel in terms of the duration of passing through one or more of the green wave channels, denoted as the cumulative number of times Y of unreasonable time consumption;

[0107] respectively determining the cumulative number of times each vehicle does not meet the requirements for driving in the green wave channel in terms of the instantaneous speed of passing through the tollbooth in one or more of the green wave channels, denoted as the cumulative number of times Z of unreasonable speed.

[0108] Correspondingly, the step 330 of determining the top n vehicles that pose the greatest risk of causing congestion in the green wave channel according to the number of times each vehicle does not meet the requirements for driving in the green wave channel includes:

[0109] determining the top n vehicles that pose the greatest risk of causing congestion in the green wave channel according to the cumulative number of times X of repeatedly detected vehicles, the cumulative number of times Y of unreasonable time consumption, and the cumulative number of times Z of unreasonable speed.

[0110] In some example embodiments, the step of determining the top n vehicles that pose the greatest risk of causing congestion in the green wave channel includes:

[0111] calculating the cumulative unreasonable number of times for each vehicle = X + Y + Z;

[0112] determining the top n vehicles in descending order of the cumulative unreasonable number of times as the top n vehicles that pose the greatest risk of causing congestion in the green wave channel.

[0113] In some example embodiments, the step of determining the top n vehicles that pose the greatest risk of causing congestion in the green wave channel includes:

[0114] calculating the cumulative weighted unreasonable number of times for each vehicle = x1*X + x2*Y + x3*Z;

[0115] determining the top n vehicles in descending order of the cumulative weighted unreasonable number of times as the top n vehicles that pose the greatest risk of causing congestion in the green wave channel;

[0116] wherein x1, x2, and x3 are weight values.

[0117] For example, Table 2 - Vehicle Driving Feature Data Statistics Table

[0118]

[0119] As can be seen from Table 2, when n = 1, the vehicle zhe 1 (blue) is determined as the vehicle with the greatest risk of causing congestion to the green wave channel driving.

[0120] The embodiments of the present disclosure also provide a navigation method, as shown in Figure 4 comprises the following steps:

[0121] In step 410, driving data of a vehicle is acquired, and the driving data includes an identifier of whether the vehicle meets a green wave channel driving requirement.

[0122] In step 420, in a case where it is determined that the vehicle does not meet the green wave channel driving requirement, a green wave channel in an electronic map is excluded from route planning for the vehicle.

[0123] The identifier of whether the vehicle meets the green wave channel driving requirement is determined according to the vehicle screening method in any of the embodiments of the present disclosure.

[0124] In some example embodiments, the identifier of whether the vehicle meets the green wave channel driving requirement can be determined in a green wave channel process before a current time in this driving of the vehicle, or can be determined in a green wave channel process in historical driving of the vehicle.

[0125] As can be seen, in the case where the vehicle does not meet the green wave channel driving requirement, the route planning for the vehicle is to exclude the green wave channel in the electronic map data and to select a non-green wave channel with similar time consumption, so that the adverse effect of the driving of the vehicle on the driving of the vehicle meeting the green wave channel driving requirement can be avoided.

[0126] In some example embodiments, a navigation method is also provided, as shown in Figure 5 comprises the following steps:

[0127] In step 510, driving data of a vehicle is acquired, and the driving data includes an identifier of whether the vehicle meets a green wave channel driving requirement.

[0128] In step 520, in a case where it is determined that the vehicle does not meet the green wave channel driving requirement, a driver is prompted to adjust driving behavior to meet the green wave channel driving requirement.

[0129] The identifier of whether the vehicle meets the green wave channel driving requirement is determined according to the vehicle screening method in any of the embodiments of the present disclosure.

[0130] In some example embodiments, the prompting of the driver to adjust the driving behavior to meet the green wave channel driving requirement comprises:

[0131] prompting the driver through the following information:

[0132] current driving speed, green wave speed required by the green wave channel where the vehicle is currently located.

[0133] In some example embodiments, the navigation method is applied on a navigation server, and after the navigation server plans a route according to the identification of the vehicle and the navigation target, the navigation server guides the vehicle to drive.

[0134] In some example embodiments, the navigation method is applied in a navigation system of a vehicle terminal, and the vehicle navigation system plans a route and guides according to the identification of the vehicle and the navigation target.

[0135] The embodiments of the present disclosure further provide a navigation system, such as Figure 6 as shown, comprising:

[0136] a server 610 and a vehicle terminal 620;

[0137] The server 610 is configured to determine whether the vehicle to which the vehicle terminal 620 belongs meets the green wave channel driving requirement according to the vehicle screening method of any of the embodiments of the present disclosure, and in the case that the vehicle does not meet the green wave channel driving requirement, the server 610 is configured to issue a green wave channel bypass instruction to the vehicle terminal 620;

[0138] The vehicle terminal 620 is configured to exclude the green wave channel in the electronic map to plan a navigation route according to the green wave channel bypass instruction.

[0139] In some example embodiments, the server 610 is further configured to issue a driver prompt information to the vehicle terminal 620 in the case that the vehicle does not meet the green wave channel driving requirement;

[0140] The vehicle terminal 620 is further configured to play the driver prompt information.

[0141] The driver prompt information comprises:

[0142] current driving speed, green wave speed required by the green wave channel where the vehicle is currently located.

[0143] It can be seen that the server 610 screens the vehicles driving on the road according to the system configured green wave channel information and the passing vehicle information collected on the included tollbooths, determines whether each vehicle meets the green wave channel driving requirement, and issues a bypass instruction to the vehicle navigation terminal of the vehicle identified as not meeting the green wave channel driving requirement, so as to instruct the vehicle terminal to avoid the green wave channel when planning a subsequent route. The system can achieve the goal of maintaining smooth traffic of the green wave channel through vehicle-road cooperation.

[0144] The embodiments of the present disclosure further provide an electronic device, comprising:

[0145] one or more processors;

[0146] a memory device storing one or more programs,

[0147] when the one or more programs are executed by the one or more processors, the one or more processors implement the vehicle screening method according to any one of the embodiments of the present disclosure.

[0148] The embodiments of the present disclosure further provide an electronic device, comprising:

[0149] one or more processors;

[0150] a memory device storing one or more programs,

[0151] when the one or more programs are executed by the one or more processors, the one or more processors implement the navigation method according to any one of the embodiments of the present disclosure.

[0152] The embodiments of the present disclosure further provide a computer readable storage medium, having stored thereon a computer program, which is implemented by a processor to perform the vehicle screening method according to any one of the above embodiments.

[0153] The embodiments of the present disclosure further provide a computer readable storage medium, having stored thereon a computer program, which is implemented by a processor to perform the navigation method according to any one of the above embodiments.

[0154] It can be seen that the vehicle screening scheme provided by the embodiments of the present disclosure can identify and screen out vehicles that are not suitable for driving on the green wave channel. The navigation scheme provided by the embodiments of the present disclosure, for each vehicle, based on the result of determining whether it meets the green wave channel driving requirement, performs navigation planning in a targeted manner, which can avoid vehicles with driving habits not meeting the green wave channel driving requirement from driving on the green wave channel, so as to ensure that vehicles meeting the green wave channel driving requirement can have “green lights all the way” on the green wave channel, and the overall goal of green wave traffic on the relevant road in the urban traffic system is achieved.

[0155] Those of ordinary skill in the art will realize and understand that all or some of the steps in the methods disclosed above and the functional modules / units in the systems and devices can be implemented as software, firmware, hardware, and appropriate combinations thereof. In hardware implementation, the division between the functional modules / units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component can have multiple functions, or one function or step can be performed by several physical components in cooperation. Some or all of the components can be implemented as software executed by a processor, such as a digital signal processor or a microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable medium, which can include computer storage media (or non-transitory media) and communication media (or transitory media). As is well known to those of ordinary skill in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and that can be accessed by a computer. Furthermore, it is well known to those of ordinary skill in the art that communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media.

[0156] The above description is merely preferred embodiments of the present application, and is not intended to limit the patent scope of the present application. Any equivalent structural variations made under the concept of the present application, or direct / indirect application in other related technical fields, are included in the patent protection scope of the present application.

Claims

1. A vehicle screening method characterized by, The method comprises: acquiring vehicle passing information of vehicles passing through each of the tollgates according to a pre-configured tollgate detection device on the tollgate on the green wave channel; determining driving feature data of the vehicles on the green wave channel according to the vehicle passing information and tollgate information included in the green wave channel; judging whether the vehicles meet the green wave channel driving requirement according to the driving feature data, determining vehicles that do not meet the green wave channel driving requirement, wherein the driving feature data comprises one or more of the following: the number of times a vehicle is repeatedly detected at the same tollgate, the duration of the vehicle passing through the green wave channel, the instantaneous speed of the vehicle passing through the tollgates included in the green wave channel; the judging whether the vehicles meet the green wave channel driving requirement according to the driving feature data comprises: when it is determined according to the driving feature data that at least one of the following conditions is met, it is determined that the vehicle does not meet the green wave channel driving requirement: the cumulative number of times the vehicle is repeatedly detected at the same tollgate among the tollgates included in the green wave channel is greater than a first number threshold; the cumulative number of times the duration of the vehicle passing through any green wave channel is not within a first duration range corresponding to the green wave channel is greater than a second number threshold; the cumulative number of times the instantaneous speed of the vehicle passing through any green wave channel is not within a first speed range corresponding to the green wave channel is greater than a third number threshold.

2. The method of claim 1, wherein: the green wave channel is one or more; the determining driving feature data of the vehicles on the green wave channel comprises: determining driving feature data of the vehicles on each of the green wave channels.

3. The method of claim 2, wherein: each of the green wave channels comprises at least a start tollgate and an end tollgate; the number of times a vehicle is repeatedly detected at the same tollgate is determined according to the number of records of the vehicle passing information obtained by the detection device at the tollgate; the duration of the vehicle passing through the green wave channel is determined according to the passing time in the vehicle passing information obtained by the detection devices at the start tollgate and the end tollgate.

4. The method of claim 2, wherein: each of the green wave channels comprises at least a start intersection and an end intersection; the first duration range corresponding to the green wave channel is a duration range greater than or equal to a minimum time T1 and less than or equal to a maximum time T2; T1 = L / V - t1 - t2, T2 = L / V + t1 + t2; T1 is the minimum time, T2 is the maximum time, L is the length of the green wave channel, V is the green wave speed of the green wave channel, t1 is the green light duration of the start intersection of the green wave channel, and t2 is the green light duration of the end intersection of the green wave channel.

5. The method of claim 2, wherein: each of the green wave channels comprises at least a start intersection and an end intersection; the first speed range corresponding to the green wave channel is a speed range greater than or equal to a minimum speed V1 and less than or equal to a maximum speed V2; V1 = L / T2, V2 = L / T1; T1 = L / V - t1 - t2, T2 = L / V + t1 + t2; T1 is the shortest time consumption, T2 is the longest time consumption, L is the length of the green wave channel, V is the green wave speed of the green wave channel, t1 is the green light duration of the starting intersection of the green wave channel, and t2 is the green light duration of the ending intersection of the green wave channel.

6. A navigation method characterized by, The method comprises: acquiring driving data of a vehicle, wherein the driving data comprises an identifier of whether the vehicle meets the green wave channel driving requirement determined by the method according to any one of claims 1-5; in a case where it is determined that the vehicle does not meet the green wave channel driving requirement, excluding the green wave channel in an electronic map from route planning for the vehicle.

7. A navigation system characterized by comprising: The method comprises: a server and a vehicle-mounted device; the server is configured to determine whether a home vehicle of the vehicle-mounted device meets the green wave channel driving requirement according to the method according to any one of claims 1-5, and to issue a green wave channel bypass instruction to the vehicle-mounted device in a case where the vehicle does not meet the green wave channel driving requirement; the vehicle-mounted device is configured to exclude the green wave channel in an electronic map from route planning according to the green wave channel bypass instruction.

8. An electronic device, comprising: The method comprises: one or more processors; a storage device configured to store one or more programs, when the one or more programs are executed by the one or more processors, the one or more processors implement the vehicle screening method according to any one of claims 1-5 or the navigation method according to claim 6.

9. A computer readable storage medium having stored thereon a computer program, characterized in that, The program is executed by the processor to implement the vehicle screening method according to any one of claims 1-5 or the navigation method according to claim 6.

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