An intelligent urban road traffic congestion control system and method based on the Internet of Things

Abstract

The present invention belongs to the technical field of intelligent transportation Internet of Things, and proposes an intelligent traffic congestion control system and method for urban roads based on the Internet of Things. The main method includes: after the navigation instruction transceiver unit receives the real-time destination information of the vehicle, it is determined whether the vehicle destination is in the first buffer section or the second buffer section. If not, the first road condition information between the adjacent first intersection and the second intersection in the vehicle driving direction is obtained, and a first navigation guidance strategy is generated based on the distance information and the first road condition information. If it is, the second road condition information in the vehicle driving direction in the first buffer section and / or the second buffer section is obtained, and a second navigation guidance strategy is generated based on the second road condition; when a vehicle with a navigation function is turned on and travels to the starting point of the first buffer section, the first navigation guidance instruction or the second navigation guidance instruction is sent to the vehicle with the navigation function turned on based on the vehicle destination information. The present invention can alleviate traffic congestion.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent transportation Internet of Things, and in particular to an urban road intelligent traffic congestion control system and method based on the Internet of Things. Background Art

[0002] At present, due to the widespread use of urban roads, traffic congestion on urban roads is becoming more and more serious.

[0003] Although the traffic management department will control the length of traffic lights to optimize traffic congestion based on historical congestion conditions, due to the difference between motor vehicles with navigation functions and those without navigation functions on urban roads, some vehicle drivers may rely on past experience to complete the driving between two road intersections. When there are multiple lanes between the two intersections, even if most motor vehicles already have navigation functions, the navigation software installed in different vehicles or the smartphone navigation software used by different manufacturers cannot be completely consistent. Therefore, there are differences between the intelligent judgment results of road traffic congestion conditions by different manufacturers, which leads to serious traffic congestion even if the driver uses the navigation function of the motor vehicle or smartphone.

[0004] Therefore, there is an urgent need for an intelligent traffic congestion control solution based on Internet of Things technology that can alleviate traffic congestion. Summary of the invention

[0005] The purpose of the present invention is to provide an urban road intelligent traffic congestion control system and method based on the Internet of Things, which can provide a more optimized intelligent traffic congestion solution based on the Internet of Things and combined with the current motor vehicle on-board navigation software, and can greatly alleviate the traffic congestion between two intersections.

[0006] The present invention solves the technical problem and adopts the following technical solution:

[0007] On the one hand, the present invention provides an urban road intelligent traffic congestion control system based on the Internet of Things, comprising:

[0008] a section division unit, used for obtaining the driving direction of the vehicle between the adjacent first intersection and the second intersection, and dividing the road section from the first intersection to the second intersection into a first buffer section, a second buffer section and a solid line waiting section based on the driving direction;

[0009] A first vehicle identification unit is arranged at the starting point of the first buffer section, and is used to identify vehicle information at a first specified distance from the starting point of the first buffer section in each lane in the direction of vehicle travel from the first intersection to the second intersection, and when the vehicle travels to the first specified distance from the starting point of the first buffer section, the control unit is notified to start the navigation instruction transceiver unit;

[0010] A navigation instruction transceiver unit is used to send a first navigation inquiry instruction to a vehicle within a first specified distance from the starting point of the first buffer zone when starting up. If the vehicle has a navigation function turned on, the vehicle replies to the navigation instruction transceiver unit with real-time destination information of the vehicle after receiving the first navigation inquiry instruction;

[0011] a control unit storing distance information between adjacent first intersections and second intersections, and used to determine whether the vehicle destination is in the first buffer section or the second buffer section after the navigation instruction transceiver unit receives the real-time destination information of the vehicle; if not, obtain first road condition information between the adjacent first intersection and the second intersection in the vehicle travel direction, and generate a first navigation guidance strategy based on the distance information and the first road condition information; if yes, obtain second road condition information in the first buffer section and / or the second buffer section in the vehicle travel direction, and generate a second navigation guidance strategy based on the second road condition;

[0012] The method is used to send a first navigation guidance instruction or a second navigation guidance instruction to the vehicle with the navigation function enabled based on the vehicle destination information when the vehicle with the navigation function enabled travels to the starting point of the first buffer section.

[0013] As a further optimization, if the distance information between the adjacent first intersection and the second intersection corresponds to a distance less than a preset distance, a second vehicle identification unit is set at the starting point of the solid line waiting section;

[0014] The second vehicle identification unit is used to identify vehicle information at a second specified distance from the starting point of the solid line waiting section in each lane in the vehicle driving direction from the first intersection to the second intersection. When the vehicle travels to the second specified distance from the starting point of the solid line waiting section, the second navigation inquiry instruction is sent to the vehicle within the second specified distance from the starting point of the solid line waiting section through the navigation instruction transceiver unit. If the vehicle has a navigation function turned on, the vehicle will reply to the navigation instruction transceiver unit with real-time destination information of the vehicle after receiving the second navigation inquiry instruction.

[0015] As a further optimization, if the distance information between the adjacent first intersection and the second intersection corresponds to a distance greater than or equal to a preset distance, a second vehicle identification unit is set at the starting point of the solid line waiting section, and a third vehicle identification unit is set at the starting point of the second buffer section;

[0016] The third vehicle identification unit is used to identify vehicle information at a third specified distance from the starting point of the second buffer segment in each lane in the vehicle driving direction from the first intersection to the second intersection. When the vehicle travels to the third specified distance from the starting point of the second buffer segment, the third navigation inquiry instruction is sent to the vehicles within the third specified distance from the starting point of the second buffer segment through the navigation instruction transceiver unit. If the vehicle has a navigation function turned on, the vehicle will reply to the navigation instruction transceiver unit with real-time destination information of the vehicle after receiving the third navigation inquiry instruction.

[0017] As a further optimization, the second specified distance from the starting point of the solid line waiting section and the third specified distance from the starting point of the second buffer section do not overlap in the vehicle's driving direction; and the second specified distance is smaller than the driving distance of the second buffer section, and the third specified distance is smaller than the driving distance of the first buffer section.

[0018] As a further optimization, if the distance information between the adjacent first intersection and the second intersection corresponds to a distance less than a preset distance, and the vehicle destination is not in the first buffer section or the second buffer section, then generating a first navigation guidance strategy based on the distance information and the first road condition information means:

[0019] Acquiring, by the first vehicle identification unit, a first time when the vehicle with the navigation function enabled travels from a first specified distance from the starting point of the first buffer zone to the starting point of the first buffer zone;

[0020] In a first time, determining whether vehicle information is recognized in each lane by the second vehicle recognition unit, and if recognized, selecting any reference vehicle in each lane;

[0021] If none of the reference vehicles enters the solid line waiting section within the first time, and the reference vehicles do not change lanes before entering the solid line waiting section, then the travel distance of the reference vehicles within the first time is obtained, and the lane where the reference vehicle with the longest travel distance is located is selected as the navigation guidance lane for the vehicle with the navigation function turned on, and a first navigation guidance strategy is generated;

[0022] After selecting any reference vehicle in each lane, if the reference vehicle enters the solid line waiting section within the first time and does not change lanes before entering the solid line waiting section, the average speed of the reference vehicle before entering the solid line waiting section is obtained, and the lane where the reference vehicle with the largest average speed is located is selected as the navigation guidance lane for the vehicle with navigation function turned on, and the first navigation guidance strategy is generated.

[0023] As a further optimization, if the distance information between the adjacent first intersection and the second intersection corresponds to a distance less than the preset distance, and the vehicle destination is in the first buffer section or the second buffer section, then generating a second navigation guidance strategy based on the second road condition means:

[0024] The first driving time of each lane from the second specified distance from the starting point of the solid-line waiting section to the starting point of the solid-line waiting area is counted after the vehicle with the navigation function is reached, and the lane with the shortest first driving time is obtained as the navigation guidance lane of the vehicle with the navigation function, and a second navigation guidance strategy is generated.

[0025] As a further optimization, if the distance information between the adjacent first intersection and the second intersection corresponds to a distance greater than or equal to a preset distance, and the vehicle destination is not in the first buffer section or the second buffer section, then generating a first navigation guidance strategy based on the distance information and the first road condition information means:

[0026] Acquiring, by the first vehicle identification unit, a first time when the vehicle with the navigation function enabled travels from a first specified distance from the starting point of the first buffer zone to the starting point of the first buffer zone;

[0027] In a first time, determining whether vehicle information is recognized in each lane by the third vehicle recognition unit, and if recognized, selecting any reference vehicle in each lane;

[0028] If none of the reference vehicles enters the second buffer section within the second time, and the reference vehicles do not change lanes before entering the second buffer section, then the travel distance of the reference vehicles within the second time is obtained, and the lane where the reference vehicle with the longest travel distance is located is selected as the navigation guidance lane for the vehicle with the navigation function enabled, and a first navigation guidance strategy is generated;

[0029] After selecting any reference vehicle in each lane, if the reference vehicle enters the second buffer section within the second time and the reference vehicle does not change lanes before entering the second buffer section, the average speed of the reference vehicle before entering the second buffer section is obtained, and the lane where the reference vehicle with the largest average speed is located is selected as the navigation guidance lane for the vehicle with navigation function turned on, and the first navigation guidance strategy is generated.

[0030] As a further optimization, if the distance information between the adjacent first intersection and the second intersection corresponds to a distance greater than or equal to a preset distance, and the vehicle destination is in the first buffer zone, then generating a second navigation guidance strategy based on the second road condition means:

[0031] If the destination of the vehicle is in the first buffer zone, and the distance between the destination and the starting point of the second buffer zone is greater than a third specified distance, then within a first set time, it is determined whether the vehicle information is recognized in each lane by the third vehicle recognition unit, and if recognized, any reference vehicle is selected in each lane;

[0032] If none of the reference vehicles enters the second buffer section within the second time, and the reference vehicles do not change lanes before entering the second buffer section, then the travel distance of the reference vehicles within the second time is obtained, and the lane where the reference vehicle with the longest travel distance is located is selected as the navigation guidance lane for the vehicle with the navigation function turned on, and a second navigation guidance strategy is generated;

[0033] After any reference vehicle is selected in each lane, if the reference vehicle enters the second buffer section within the second time and the reference vehicle does not change lanes before entering the second buffer section, the average speed of the reference vehicle before entering the second buffer section is obtained, and the lane where the reference vehicle with the largest average speed is located is selected as the navigation guidance lane for the vehicle with the navigation function turned on, and a second navigation guidance strategy is generated;

[0034] If the vehicle's destination is in the first buffer segment and the distance between the destination and the starting point of the second buffer segment is less than a third specified distance, the lane closest to the destination is selected as the navigation guidance lane for the vehicle with navigation function turned on, and a second navigation guidance strategy is generated.

[0035] As a further optimization, if the distance information between the adjacent first intersection and the second intersection corresponds to a distance greater than or equal to a preset distance, and the vehicle destination is in the second buffer section, then a second navigation guidance strategy is generated based on the second road condition, which means:

[0036] If the destination of the vehicle is in the second buffer section, and the distance between the destination and the starting point of the solid line waiting section is greater than the second specified distance, then within the second set time, it is determined whether the second vehicle identification unit has identified vehicle information in each lane, and if so, any reference vehicle is selected in each lane;

[0037] If none of the reference vehicles enters the second buffer section within the second time, and the reference vehicles do not change lanes before entering the second buffer section, then the travel distance of the reference vehicles within the second time is obtained, and the lane where the reference vehicle with the longest travel distance is located is selected as the navigation guidance lane for the vehicle with the navigation function turned on, and a second navigation guidance strategy is generated;

[0038] After any reference vehicle is selected in each lane, if the reference vehicle enters the second buffer section within the second time and the reference vehicle does not change lanes before entering the second buffer section, the average speed of the reference vehicle before entering the second buffer section is obtained, and the lane where the reference vehicle with the largest average speed is located is selected as the navigation guidance lane for the vehicle with the navigation function turned on, and a second navigation guidance strategy is generated;

[0039] If the vehicle's destination is in the second buffer section and the distance between the destination and the starting point of the solid line waiting section is less than the second specified distance, the lane closest to the destination is selected as the navigation guidance lane for the vehicle with navigation function turned on, and a second navigation guidance strategy is generated.

[0040] On the other hand, the present invention also provides an urban road intelligent traffic congestion control method based on the Internet of Things, which is applied to the urban road intelligent traffic congestion control system based on the Internet of Things, and comprises the following steps:

[0041] Acquire the driving direction of the vehicle between the adjacent first intersection and the second intersection, and divide the road section from the first intersection to the second intersection into a first buffer section, a second buffer section and a solid line waiting section based on the driving direction;

[0042] The first vehicle identification unit is arranged at the starting point of the first buffer section, and identifies the vehicle information at a first specified distance from the starting point of the first buffer section in each lane in the direction of vehicle travel from the first intersection to the second intersection, and when the vehicle travels to the first specified distance from the starting point of the first buffer section, the control unit is notified to start the navigation instruction transceiver unit;

[0043] The navigation instruction transceiver unit sends a first navigation inquiry instruction to a vehicle within a first specified distance from the starting point of the first buffer zone when it is started. If the vehicle has a navigation function turned on, the vehicle replies to the navigation instruction transceiver unit with real-time destination information of the vehicle after receiving the first navigation inquiry instruction.

[0044] The control unit stores distance information between the adjacent first intersection and the second intersection. After the navigation instruction transceiver unit receives the real-time destination information of the vehicle, it determines whether the vehicle destination is in the first buffer segment or the second buffer segment. If not, first road condition information between the adjacent first intersection and the second intersection in the vehicle travel direction is obtained, and a first navigation guidance strategy is generated based on the distance information and the first road condition information. If yes, second road condition information in the first buffer segment and / or the second buffer segment in the vehicle travel direction is obtained, and a second navigation guidance strategy is generated based on the second road condition.

[0045] When the vehicle with the navigation function turned on travels to the starting point of the first buffer section, a first navigation guidance instruction or a second navigation guidance instruction is sent to the vehicle with the navigation function turned on based on the vehicle destination information.

[0046] The beneficial effect of the present invention is that through the above-mentioned urban road intelligent traffic congestion control system and method based on the Internet of Things, the section between two road intersections can be divided into different sections based on the Internet of Things technology, and different vehicle identification units can be equipped between the two intersections based on the divided sections and the actual distance between the two road intersections. At the same time, the present invention will cooperate with vehicles with navigation functions turned on to jointly complete route navigation guidance between the two road intersections, thereby greatly alleviating traffic congestion. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 This is a schematic diagram of the application working condition in Example 1 of the present invention;

[0048] Figure 2 This is a flow chart of an urban road intelligent traffic congestion control method based on the Internet of Things in Example 2 of the present invention.

[0049] Among them, 101 represents the first intersection, 102 represents the second intersection, 103 represents the first buffer section, 104 represents the second buffer section, 105 represents the solid line waiting section, and 106 represents the driving direction. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0051] Example 1

[0052] See also Figure 1 This embodiment provides an urban road intelligent traffic congestion control system based on the Internet of Things, wherein the system includes:

[0053] The segment division unit is used to obtain the vehicle driving direction 106 between the adjacent first intersection 101 and the second intersection 102, and divide the road section from the first intersection 101 to the second intersection 102 into a first buffer section 103, a second buffer section 104 and a solid line waiting section 105 based on the driving direction 106. In this embodiment, the number of lanes on the same driving direction 106 between the adjacent first intersection 101 and the second intersection 102 is generally multiple. If it is a single lane, the vehicles on the driving direction 106 can only queue up and pass in turn. In this case, it is not within the scope of discussion of this embodiment;

[0054] A first vehicle identification unit is provided at the starting point of the first buffer section 103, and is used to identify vehicle information at a first specified distance from the starting point of the first buffer section 103 in each lane in the vehicle travel direction 106 from the first intersection 101 to the second intersection 102, and when the vehicle travels to the first specified distance from the starting point of the first buffer section 103, the control unit is notified to start the navigation instruction transceiver unit;

[0055] A navigation instruction transceiver unit is used to send a first navigation inquiry instruction to a vehicle within a first specified distance from the starting point of the first buffer section 103 when starting up. If the vehicle has a navigation function turned on, the vehicle replies with the real-time destination information of the vehicle to the navigation instruction transceiver unit after receiving the first navigation inquiry instruction;

[0056] a control unit storing distance information between the adjacent first intersection 101 and the second intersection 102, and used to determine whether the vehicle destination is in the first buffer section 103 or the second buffer section 104 after the navigation instruction transceiver unit receives the real-time destination information of the vehicle; if not, obtain first road condition information between the adjacent first intersection 101 and the second intersection 102 in the vehicle travel direction 106, and generate a first navigation guidance strategy based on the distance information and the first road condition information; if yes, obtain second road condition information in the first buffer section 103 and / or the second buffer section 104 in the vehicle travel direction 106, and generate a second navigation guidance strategy based on the second road condition;

[0057] And it is used to send a first navigation guidance instruction or a second navigation guidance instruction to the vehicle with the navigation function enabled based on the vehicle destination information when the vehicle with the navigation function enabled travels to the starting point of the first buffer section 103 .

[0058] In actual application, the destination of the vehicle with navigation function turned on may be between the first intersection 101 and the second intersection 102, or may be outside these two intersections. Therefore, it is necessary to formulate corresponding navigation guidance strategies for different destination situations. At the same time, there may be a situation where the distance information between the adjacent first intersection 101 and the second intersection 102 corresponds to a distance that is too short. In this case, the present embodiment will install a first vehicle identification unit at the starting point of the first buffer section 103, and install a second vehicle identification unit at the starting point of the solid line waiting area, to cooperate with the vehicle with navigation function to complete the vehicle navigation guidance work. In more cases, there may be a situation where the distance information between the adjacent first intersection 101 and the second intersection 102 corresponds to a distance that is long enough. In this case, the present embodiment will install a first vehicle identification unit at the starting point of the first buffer section 103, and install a second vehicle identification unit at the starting point of the solid line waiting area, and also install a second vehicle identification unit at the starting point of the second buffer section 104, to cooperate with the vehicle with navigation function to complete the vehicle navigation guidance work.

[0059] Therefore, one case is that the distance information between the adjacent first intersection 101 and the second intersection 102 corresponds to a distance less than the preset distance, and another case is that the distance information between the adjacent first intersection 101 and the second intersection 102 corresponds to a distance greater than or equal to the preset distance.

[0060] Therefore, if the distance corresponding to the distance information between the adjacent first intersection 101 and the second intersection 102 is less than the preset distance, a second vehicle identification unit is set at the starting point of the solid line waiting section 105; the second vehicle identification unit is used to identify the vehicle information at the second specified distance from the starting point of the solid line waiting section 105 in each lane in the vehicle driving direction 106 from the first intersection 101 to the second intersection 102. When the vehicle travels to the second specified distance from the starting point of the solid line waiting section 105, the second navigation inquiry instruction is sent to the vehicle within the second specified distance from the starting point of the solid line waiting section 105 through the navigation instruction transceiver unit. If the vehicle has a navigation function turned on, after the vehicle receives the second navigation inquiry instruction, the vehicle's real-time destination information is replied to the navigation instruction transceiver unit.

[0061] If the distance corresponding to the distance information between the adjacent first intersection 101 and the second intersection 102 is greater than or equal to the preset distance, a second vehicle identification unit is set at the starting point of the solid line waiting section 105, and a third vehicle identification unit is set at the starting point of the second buffer section 104; the third vehicle identification unit is used to identify the vehicle information at the third specified distance from the starting point of the second buffer section 104 in each lane in the vehicle driving direction 106 from the first intersection 101 to the second intersection 102. When the vehicle travels to the third specified distance from the starting point of the second buffer section 104, the third navigation inquiry instruction is sent to the vehicle within the third specified distance from the starting point of the second buffer section 104 through the navigation instruction transceiver unit. If the vehicle has a navigation function turned on, after the vehicle receives the third navigation inquiry instruction, the vehicle's real-time destination information is replied to the navigation instruction transceiver unit.

[0062] Here, the preset distance can be freely set according to the historical congestion situation between the two intersections. At the same time, due to the setting of the preset distance, it is necessary to ensure that: the second prescribed distance from the starting point of the solid line waiting section 105 and the third prescribed distance from the starting point of the second buffer section 104 do not overlap in the vehicle driving direction 106; and the second prescribed distance is less than the driving distance of the second buffer section 104, and the third prescribed distance is less than the driving distance of the first buffer section 103.

[0063] It should be noted that in the first case:

[0064] If the distance information between the adjacent first intersection 101 and the second intersection 102 corresponds to a distance less than a preset distance, and the vehicle destination is not in the first buffer section 103 or the second buffer section 104, then generating a first navigation guidance strategy based on the distance information and the first road condition information means:

[0065] Acquiring, by the first vehicle identification unit, a first time for a vehicle with a navigation function enabled to travel from a first specified distance from the starting point of the first buffer segment 103 to the starting point of the first buffer segment 103;

[0066] In a first time, determining whether vehicle information is recognized in each lane by the second vehicle recognition unit, and if recognized, selecting any reference vehicle in each lane;

[0067] If none of the reference vehicles enter the solid line waiting section 105 within the first time, and the reference vehicles do not change lanes before entering the solid line waiting section 105, then the travel distance of the reference vehicles within the first time is obtained, and the lane where the reference vehicle with the longest travel distance is located is selected as the navigation guidance lane for the vehicle with the navigation function enabled, and a first navigation guidance strategy is generated;

[0068] After selecting any reference vehicle in each lane, if the reference vehicle enters the solid line waiting section 105 within the first time and the reference vehicle does not change lanes before entering the solid line waiting section 105, the average speed of the reference vehicle before entering the solid line waiting section 105 is obtained, and the lane where the reference vehicle with the largest average speed is located is selected as the navigation guidance lane for the vehicle with navigation function turned on, and the first navigation guidance strategy is generated.

[0069] In the first case, if the distance information between the adjacent first intersection 101 and the second intersection 102 corresponds to a distance less than the preset distance, and the vehicle destination is in the first buffer section 103 or the second buffer section 104, then generating a second navigation guidance strategy based on the second road condition means:

[0070] After the vehicle with the navigation function turned on reaches the destination, the first driving time of each lane from the second specified distance from the starting point of the solid line waiting section 105 to the starting point of the solid line waiting area is counted, and the lane with the shortest first driving time is obtained as the navigation guidance lane of the vehicle with the navigation function turned on, and the second navigation guidance strategy is generated.

[0071] It should be noted that in the second case:

[0072] If the distance information between the adjacent first intersection 101 and the second intersection 102 corresponds to a distance greater than or equal to a preset distance, and the vehicle destination is not in the first buffer section 103 or the second buffer section 104, then generating a first navigation guidance strategy based on the distance information and the first road condition information means:

[0073] Acquiring, by the first vehicle identification unit, a first time for a vehicle with a navigation function enabled to travel from a first specified distance from the starting point of the first buffer segment 103 to the starting point of the first buffer segment 103;

[0074] In a first time, determining whether vehicle information is recognized in each lane by the third vehicle recognition unit, and if recognized, selecting any reference vehicle in each lane;

[0075] If none of the reference vehicles enter the second buffer section 104 within the second time, and the reference vehicles do not change lanes before entering the second buffer section 104, then the travel distance of the reference vehicles within the second time is obtained, and the lane where the reference vehicle with the longest travel distance is located is selected as the navigation guidance lane of the vehicle with the navigation function enabled, and a first navigation guidance strategy is generated;

[0076] After selecting any reference vehicle in each lane, if the reference vehicle enters the second buffer section 104 within the second time and the reference vehicle does not change lanes before entering the second buffer section 104, the average speed of the reference vehicle before entering the second buffer section 104 is obtained, and the lane where the reference vehicle with the largest average speed is located is selected as the navigation guidance lane for the vehicle with navigation function turned on, and the first navigation guidance strategy is generated.

[0077] In the second case, if the distance information between the adjacent first intersection 101 and the second intersection 102 corresponds to a distance greater than or equal to a preset distance, and the vehicle destination is in the first buffer section 103, then generating a second navigation guidance strategy based on the second road condition means:

[0078] If the destination of the vehicle is in the first buffer section 103, and the distance between the destination and the starting point of the second buffer section 104 is greater than the third specified distance, then within the first set time, it is determined whether the vehicle information is recognized in each lane by the third vehicle recognition unit, and if recognized, any reference vehicle is selected in each lane;

[0079] If none of the reference vehicles enter the second buffer section 104 within the second time, and the reference vehicles do not change lanes before entering the second buffer section 104, then the travel distance of the reference vehicles within the second time is obtained, and the lane where the reference vehicle with the longest travel distance is located is selected as the navigation guidance lane for the vehicle with the navigation function enabled, and a second navigation guidance strategy is generated;

[0080] After any reference vehicle is selected in each lane, if the reference vehicle enters the second buffer section 104 within the second time and the reference vehicle does not change lanes before entering the second buffer section 104, the average speed of the reference vehicle before entering the second buffer section 104 is obtained, and the lane where the reference vehicle with the largest average speed is located is selected as the navigation guidance lane for the vehicle with the navigation function turned on, and a second navigation guidance strategy is generated;

[0081] If the vehicle destination is in the first buffer segment 103, and the distance between the destination and the starting point of the second buffer segment 104 is less than the third specified distance, the lane closest to the destination is selected as the navigation guidance lane for the vehicle with navigation function turned on, and a second navigation guidance strategy is generated.

[0082] It should be noted that if the distance information between the adjacent first intersection 101 and the second intersection 102 corresponds to a distance greater than or equal to a preset distance, and the vehicle destination is in the second buffer section 104, then generating a second navigation guidance strategy based on the second road condition means:

[0083] If the destination of the vehicle is in the second buffer section 104, and the distance between the destination and the starting point of the solid line waiting section 105 is greater than the second specified distance, then within the second set time, it is determined whether the second vehicle identification unit has identified vehicle information in each lane, and if so, any reference vehicle is selected in each lane;

[0084] If none of the reference vehicles enter the second buffer section 104 within the second time, and the reference vehicles do not change lanes before entering the second buffer section 104, then the travel distance of the reference vehicles within the second time is obtained, and the lane where the reference vehicle with the longest travel distance is located is selected as the navigation guidance lane for the vehicle with the navigation function enabled, and a second navigation guidance strategy is generated;

[0085] After any reference vehicle is selected in each lane, if the reference vehicle enters the second buffer section 104 within the second time and the reference vehicle does not change lanes before entering the second buffer section 104, the average speed of the reference vehicle before entering the second buffer section 104 is obtained, and the lane where the reference vehicle with the largest average speed is located is selected as the navigation guidance lane for the vehicle with the navigation function turned on, and a second navigation guidance strategy is generated;

[0086] If the vehicle destination is in the second buffer section 104, and the distance between the destination and the starting point of the solid line waiting section 105 is less than the second specified distance, the lane closest to the destination is selected as the navigation guidance lane for the vehicle with navigation function turned on, and a second navigation guidance strategy is generated.

[0087] Example 2

[0088] Based on Example 1, this embodiment provides an urban road intelligent traffic congestion control method based on the Internet of Things, which is applied to the urban road intelligent traffic congestion control system based on the Internet of Things. Figure 2 , wherein the method comprises the following steps:

[0089] S1, obtaining the driving direction of the vehicle between the adjacent first intersection and the second intersection, and dividing the road section from the first intersection to the second intersection into a first buffer section, a second buffer section and a solid line waiting section based on the driving direction;

[0090] S2, setting a first vehicle identification unit at the starting point of the first buffer section, and identifying vehicle information at a first specified distance from the starting point of the first buffer section in each lane in the direction of vehicle travel from the first intersection to the second intersection, and notifying the control unit to start the navigation instruction transceiver unit when the vehicle travels to the first specified distance from the starting point of the first buffer section;

[0091] S3, when started, the navigation instruction transceiver unit sends a first navigation inquiry instruction to vehicles within a first specified distance from the starting point of the first buffer segment, and if the vehicle has a navigation function turned on, after receiving the first navigation inquiry instruction, the vehicle replies to the navigation instruction transceiver unit with real-time destination information of the vehicle;

[0092] S4, the control unit stores distance information between the adjacent first intersection and the second intersection, and after the navigation instruction transceiver unit receives the real-time destination information of the vehicle, determines whether the vehicle destination is in the first buffer segment or the second buffer segment, if not, obtains first road condition information between the adjacent first intersection and the second intersection in the vehicle travel direction, and generates a first navigation guidance strategy based on the distance information and the first road condition information, and if yes, obtains second road condition information in the first buffer segment and / or the second buffer segment in the vehicle travel direction, and generates a second navigation guidance strategy based on the second road condition;

[0093] S5. When the vehicle with the navigation function enabled drives to the starting point of the first buffer section, a first navigation guidance instruction or a second navigation guidance instruction is sent to the vehicle with the navigation function enabled based on the vehicle destination information.

[0094] According to the description of Example 1, the application scenario and implementation principle of this embodiment are consistent with those of Example 1, and thus will not be described in detail.

[0095] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent urban road traffic congestion control system based on the Internet of Things, characterized in that: include: a section division unit, used for obtaining the driving direction of the vehicle between the adjacent first intersection and the second intersection, and dividing the road section from the first intersection to the second intersection into a first buffer section, a second buffer section and a solid line waiting section based on the driving direction; A first vehicle identification unit is arranged at the starting point of the first buffer section, and is used to identify vehicle information at a first specified distance from the starting point of the first buffer section in each lane in the direction of vehicle travel from the first intersection to the second intersection, and when the vehicle travels to the first specified distance from the starting point of the first buffer section, the control unit is notified to start the navigation instruction transceiver unit; A navigation instruction transceiver unit is used to send a first navigation inquiry instruction to a vehicle within a first specified distance from the starting point of the first buffer zone when starting up. If the vehicle has a navigation function turned on, the vehicle replies to the navigation instruction transceiver unit with real-time destination information of the vehicle after receiving the first navigation inquiry instruction; a control unit storing distance information between adjacent first intersections and second intersections, and used to determine whether the vehicle destination is in the first buffer section or the second buffer section after the navigation instruction transceiver unit receives the real-time destination information of the vehicle; if not, obtain first road condition information between the adjacent first intersection and the second intersection in the vehicle travel direction, and generate a first navigation guidance strategy based on the distance information and the first road condition information; if yes, obtain second road condition information in the first buffer section and / or the second buffer section in the vehicle travel direction, and generate a second navigation guidance strategy based on the second road condition; The method is used to send a first navigation guidance instruction or a second navigation guidance instruction to the vehicle with the navigation function enabled based on the vehicle destination information when the vehicle with the navigation function enabled travels to the starting point of the first buffer section.

2. According to the Internet of Things-based urban road intelligent traffic congestion control system of claim 1, it is characterized in that: If the distance information between the adjacent first intersection and the second intersection corresponds to a distance less than a preset distance, a second vehicle identification unit is set at the starting point of the solid line waiting section; The second vehicle identification unit is used to identify vehicle information at a second specified distance from the starting point of the solid line waiting section in each lane in the vehicle driving direction from the first intersection to the second intersection. When the vehicle travels to the second specified distance from the starting point of the solid line waiting section, the second navigation inquiry instruction is sent to the vehicle within the second specified distance from the starting point of the solid line waiting section through the navigation instruction transceiver unit. If the vehicle has a navigation function turned on, the vehicle will reply to the navigation instruction transceiver unit with real-time destination information of the vehicle after receiving the second navigation inquiry instruction.

3. According to the Internet of Things-based urban road intelligent traffic congestion control system of claim 2, it is characterized in that: If the distance information between the adjacent first intersection and the second intersection corresponds to a distance greater than or equal to a preset distance, a second vehicle identification unit is set at the starting point of the solid line waiting section, and a third vehicle identification unit is set at the starting point of the second buffer section; The third vehicle identification unit is used to identify vehicle information at a third specified distance from the starting point of the second buffer segment in each lane in the vehicle driving direction from the first intersection to the second intersection. When the vehicle travels to the third specified distance from the starting point of the second buffer segment, the third navigation inquiry instruction is sent to the vehicles within the third specified distance from the starting point of the second buffer segment through the navigation instruction transceiver unit. If the vehicle has a navigation function turned on, the vehicle will reply to the navigation instruction transceiver unit with real-time destination information of the vehicle after receiving the third navigation inquiry instruction.

4. According to the Internet of Things-based urban road intelligent traffic congestion control system of claim 3, it is characterized in that: The second specified distance from the starting point of the solid line waiting section and the third specified distance from the starting point of the second buffer section do not overlap in the vehicle's driving direction; and the second specified distance is smaller than the driving distance of the second buffer section, and the third specified distance is smaller than the driving distance of the first buffer section.

5. According to the Internet of Things-based urban road intelligent traffic congestion control system of claim 2, it is characterized in that: If the distance information between the adjacent first intersection and the second intersection corresponds to a distance less than a preset distance, and the vehicle destination is not in the first buffer section or the second buffer section, generating a first navigation guidance strategy based on the distance information and the first road condition information means: Acquiring, by the first vehicle identification unit, a first time for a vehicle with a navigation function enabled to travel from a first specified distance from a starting point of the first buffer zone to the starting point of the first buffer zone; In a first time, determining whether vehicle information is recognized in each lane by the second vehicle recognition unit, and if recognized, selecting any reference vehicle in each lane; If none of the reference vehicles enters the solid line waiting section within the first time, and the reference vehicles do not change lanes before entering the solid line waiting section, then the travel distance of the reference vehicles within the first time is obtained, and the lane where the reference vehicle with the longest travel distance is located is selected as the navigation guidance lane for the vehicle with the navigation function turned on, and a first navigation guidance strategy is generated; After selecting any reference vehicle in each lane, if the reference vehicle enters the solid line waiting section within the first time and does not change lanes before entering the solid line waiting section, the average speed of the reference vehicle before entering the solid line waiting section is obtained, and the lane where the reference vehicle with the largest average speed is located is selected as the navigation guidance lane for the vehicle with navigation function turned on, and the first navigation guidance strategy is generated.

6. The urban road intelligent traffic congestion control system based on the Internet of Things according to claim 5 is characterized in that: If the distance information between the adjacent first intersection and the second intersection corresponds to a distance less than the preset distance, and the vehicle destination is in the first buffer section or the second buffer section, generating a second navigation guidance strategy based on the second road condition means: The first driving time of each lane from the second specified distance from the starting point of the solid-line waiting section to the starting point of the solid-line waiting area is counted after the vehicle with the navigation function is reached, and the lane with the shortest first driving time is obtained as the navigation guidance lane of the vehicle with the navigation function, and a second navigation guidance strategy is generated.

7. The urban road intelligent traffic congestion control system based on the Internet of Things according to claim 3 is characterized in that: If the distance information between the adjacent first intersection and the second intersection corresponds to a distance greater than or equal to a preset distance, and the vehicle destination is not in the first buffer section or the second buffer section, generating a first navigation guidance strategy based on the distance information and the first road condition information means: Acquiring, by the first vehicle identification unit, a first time for a vehicle with a navigation function enabled to travel from a first specified distance from a starting point of the first buffer zone to the starting point of the first buffer zone; In a first time, determining whether vehicle information is recognized in each lane by the third vehicle recognition unit, and if recognized, selecting any reference vehicle in each lane; If none of the reference vehicles enters the second buffer section within the second time, and the reference vehicles do not change lanes before entering the second buffer section, then the travel distance of the reference vehicles within the second time is obtained, and the lane where the reference vehicle with the longest travel distance is located is selected as the navigation guidance lane for the vehicle with the navigation function enabled, and a first navigation guidance strategy is generated; After selecting any reference vehicle in each lane, if the reference vehicle enters the second buffer section within the second time and the reference vehicle does not change lanes before entering the second buffer section, the average speed of the reference vehicle before entering the second buffer section is obtained, and the lane where the reference vehicle with the largest average speed is located is selected as the navigation guidance lane for the vehicle with navigation function turned on, and the first navigation guidance strategy is generated.

8. The urban road intelligent traffic congestion control system based on the Internet of Things according to claim 7 is characterized in that: If the distance information between the adjacent first intersection and the second intersection corresponds to a distance greater than or equal to a preset distance, and the vehicle destination is in the first buffer zone, generating a second navigation guidance strategy based on the second road condition means: If the destination of the vehicle is in the first buffer zone, and the distance between the destination and the starting point of the second buffer zone is greater than a third specified distance, then within a first set time, it is determined whether the vehicle information is recognized in each lane by the third vehicle recognition unit, and if recognized, any reference vehicle is selected in each lane; If none of the reference vehicles enters the second buffer section within the second time, and the reference vehicles do not change lanes before entering the second buffer section, then the travel distance of the reference vehicles within the second time is obtained, and the lane where the reference vehicle with the longest travel distance is located is selected as the navigation guidance lane for the vehicle with the navigation function turned on, and a second navigation guidance strategy is generated; After any reference vehicle is selected in each lane, if the reference vehicle enters the second buffer section within the second time and the reference vehicle does not change lanes before entering the second buffer section, the average speed of the reference vehicle before entering the second buffer section is obtained, and the lane where the reference vehicle with the largest average speed is located is selected as the navigation guidance lane for the vehicle with the navigation function turned on, and a second navigation guidance strategy is generated; If the vehicle's destination is in the first buffer segment and the distance between the destination and the starting point of the second buffer segment is less than a third specified distance, the lane closest to the destination is selected as the navigation guidance lane for the vehicle with navigation function turned on, and a second navigation guidance strategy is generated.

9. The urban road intelligent traffic congestion control system based on the Internet of Things according to claim 8 is characterized in that: If the distance information between the adjacent first intersection and the second intersection corresponds to a distance greater than or equal to a preset distance, and the vehicle destination is in the second buffer zone, generating a second navigation guidance strategy based on the second road condition means: If the destination of the vehicle is in the second buffer section, and the distance between the destination and the starting point of the solid line waiting section is greater than the second specified distance, then within the second set time, it is determined whether the second vehicle identification unit has identified vehicle information in each lane, and if so, any reference vehicle is selected in each lane; If none of the reference vehicles enters the second buffer section within the second time, and the reference vehicles do not change lanes before entering the second buffer section, then the travel distance of the reference vehicles within the second time is obtained, and the lane where the reference vehicle with the longest travel distance is located is selected as the navigation guidance lane for the vehicle with the navigation function turned on, and a second navigation guidance strategy is generated; After any reference vehicle is selected in each lane, if the reference vehicle enters the second buffer section within the second time and the reference vehicle does not change lanes before entering the second buffer section, the average speed of the reference vehicle before entering the second buffer section is obtained, and the lane where the reference vehicle with the largest average speed is located is selected as the navigation guidance lane for the vehicle with the navigation function turned on, and a second navigation guidance strategy is generated; If the vehicle's destination is in the second buffer section and the distance between the destination and the starting point of the solid line waiting section is less than the second specified distance, the lane closest to the destination is selected as the navigation guidance lane for the vehicle with navigation function turned on, and a second navigation guidance strategy is generated.

10. An intelligent traffic congestion control method for urban roads based on the Internet of Things, applied to an intelligent traffic congestion control system for urban roads based on the Internet of Things according to any one of claims 1 to 9, characterized in that: The steps include: Acquire the driving direction of the vehicle between the adjacent first intersection and the second intersection, and divide the road section from the first intersection to the second intersection into a first buffer section, a second buffer section and a solid line waiting section based on the driving direction; The first vehicle identification unit is arranged at the starting point of the first buffer section, and identifies the vehicle information at a first specified distance from the starting point of the first buffer section in each lane in the direction of vehicle travel from the first intersection to the second intersection, and when the vehicle travels to the first specified distance from the starting point of the first buffer section, the control unit is notified to start the navigation instruction transceiver unit; The navigation instruction transceiver unit sends a first navigation inquiry instruction to a vehicle within a first specified distance from the starting point of the first buffer zone when it is started. If the vehicle has a navigation function turned on, the vehicle replies to the navigation instruction transceiver unit with real-time destination information of the vehicle after receiving the first navigation inquiry instruction. The control unit stores distance information between the adjacent first intersection and the second intersection. After the navigation instruction transceiver unit receives the real-time destination information of the vehicle, it determines whether the vehicle destination is in the first buffer segment or the second buffer segment. If not, first road condition information between the adjacent first intersection and the second intersection in the vehicle travel direction is obtained, and a first navigation guidance strategy is generated based on the distance information and the first road condition information. If yes, second road condition information in the first buffer segment and / or the second buffer segment in the vehicle travel direction is obtained, and a second navigation guidance strategy is generated based on the second road condition. When the vehicle with the navigation function turned on travels to the starting point of the first buffer section, a first navigation guidance instruction or a second navigation guidance instruction is sent to the vehicle with the navigation function turned on based on the vehicle destination information.

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