A data analysis method and system for vehicle-mounted OBU

Abstract

The present invention relates to the technical field of signal light control, and specifically discloses a data analysis method and system for a vehicle-mounted OBU, wherein the method comprises the following steps: S1: marking an initial road section as a first road section and a second road section respectively; S2: setting a plurality of monitoring road sections on the first road section, and determining a first sorting; calculating the average speed of vehicles on the first road section, screening target vehicles therein, and determining a congested road section; determining whether the monitoring road section in the first sorting is a congested road section, determining a first pending value, and determining a road section to be passed; S3: determining a passing road section, and determining the duration after the signal light turns green according to the length of the road section to be passed, the length of the passing road section, and the average speed of the vehicle. The present invention can avoid traffic congestion caused by too many vehicles merging into a certain road.

Description

Technical Field

[0001] The invention relates to the technical field of signal light control, and in particular to a data analysis method and system for an on-vehicle OBU. Background Art

[0002] OBU (On-Board Unit) is an important component of the intelligent transportation system. It exchanges information with roadside facilities and backend servers through wireless communication technology to realize functions such as traffic flow monitoring and vehicle identification. In vehicle-to-everything (V2X) communication, OBU can not only collect and process data, but also obtain the vehicle's accurate location information through the built-in positioning module, and combine the speed, acceleration and other data collected by sensors to monitor and transmit vehicle-related data in real time.

[0003] As the number of vehicles continues to increase, traffic congestion is occurring more and more frequently, especially during rush hour and other time periods. Vehicles may need to wait for multiple green lights in a row before they can pass through an intersection, greatly affecting traffic efficiency and travel experience. At the same time, long waits may also cause anxiety and impatience among drivers, leading to unsafe driving behavior.

[0004] This problem can be solved to a certain extent by flexibly controlling traffic lights, such as extending the green light time when the traffic volume is high, so that more vehicles can pass through the current intersection and improve the overall travel efficiency. However, in the existing technology, most of the relevant data of the vehicles to be passed are collected and analyzed to control the traffic lights. This method ignores the impact of the vehicles to be passed on the traffic efficiency of a road after passing through the intersection. A longer green light time may cause more vehicles to enter the road, which in turn causes congestion on the road. Summary of the invention

[0005] The object of the present invention is to provide a data analysis method and system for a vehicle-mounted OBU, to solve the following technical problems:

[0006] In the existing technology, most of them collect relevant data of vehicles waiting to pass and analyze them to control traffic lights. This method ignores the impact of vehicles waiting to pass on the traffic efficiency on a road after they pass through an intersection. A longer green light time may cause more vehicles waiting to pass to enter the road, thereby causing congestion on the road.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A data analysis method for a vehicle-mounted OBU comprises the following steps:

[0009] S1: Determine the roads on both sides of the signal light position, and determine the intersection position on the road with the shortest distance to the signal light position, and use the section between the signal light position and the intersection position as the initial section, and mark the initial section as the first section and the second section respectively according to the road traffic direction, and the road traffic direction is from the first section to the second section;

[0010] S2: starting from the location of the traffic light, setting a plurality of monitoring sections on the first section at a preset distance interval D, and sorting them according to the distance between the center point of the monitoring section and the location of the traffic light. The longer the distance between the center point of the monitoring section and the location of the traffic light, the lower the ranking, thereby generating a first sorting;

[0011] Calculate the average driving speed of vehicles on the first road section within a preset collection period, and select target vehicles therein, wherein the target vehicles are vehicles whose average driving speed is less than a preset average driving speed threshold value, and when the ratio of the target vehicles to the total number of vehicles in the monitoring road section is greater than or equal to the preset ratio threshold value, the corresponding monitoring road section is regarded as a congested road section;

[0012] Starting from the first monitored road section in the first sorting, determine in turn whether the monitored road section is a congested road section, and determine the first pending value a according to the preset constraint condition, and calculate the average value a' of the first pending values ​​of m acquisition cycles, where m is a preset value, and take the monitored road sections whose sorting positions belong to [1, a'] in the first sorting as the road sections to be passed;

[0013] S3: Determine a passable road section, where the passable road section is a monitoring road section for vehicles to pass through, and determine the duration after the traffic light turns green based on the length of the road section to pass, the length of the passable road section and the average driving speed of the vehicle.

[0014] As a further solution of the present invention: in the step S2, the process of determining the congested road section specifically includes:

[0015] During the collection period, the vehicle's driving speed on the first road section is determined by the on-board OBU, and a speed-time curve f(t) is drawn, t∈[tsta, tend], tsta and tend respectively represent the start and end time points of the collection period, and the average driving speed of the vehicle during the collection period is determined. , and when the average driving speed of the vehicle V<V', the vehicle is marked as a target vehicle, and V' represents a preset average driving speed threshold;

[0016] The position of the vehicle at Tend is determined by the on-board OBU, and the vehicle ratio C=Cgoa / Ctot is calculated, where Cgoa represents the number of target vehicles in the monitored section, and Ctot represents the total number of vehicles in the monitored section. When the vehicle ratio C≥C', the monitored section is regarded as a congested section, and C' represents the preset ratio threshold.

[0017] As a further solution of the present invention: in the step S2, the first undetermined value a satisfies the following constraints:

[0018] X a =0;

[0019] X a+1 =1;

[0020] ;

[0021] Among them, X a represents the congestion value of the a-th monitoring section. When the a-th monitoring section is a congested section, X a =0; when the ath monitored section is a smooth section, X a =1, the unblocked road section is a monitoring road section where the ratio of target vehicles to the total number of vehicles is less than a preset ratio threshold.

[0022] As a further solution of the present invention: in the step S3, the process of determining the passable road section specifically includes:

[0023] Determine a second ranking, and starting from the first monitored road section in the second ranking, determine in turn whether the monitored road sections are unblocked sections, and determine a second pending value b according to a preset constraint condition, and calculate a mean value b' of the second pending values ​​of m acquisition cycles, and take the monitored road sections whose ranking positions belong to [1, b'] in the second ranking as passable sections;

[0024] Wherein, the second undetermined value b satisfies the following constraints:

[0025] X b =1;

[0026] X b+1 =0;

[0027] sum{r=0|r∈(XJH)};

[0028] XJH=(X1,X2,…,X b );

[0029] Among them, sum{r=0|r∈XJH} means counting the number of elements that are 0 in XJH.

[0030] As a further solution of the present invention: in the step S3, the process of determining the duration after the traffic light turns green according to the length of the road section to be passed, the length of the passing road section and the average driving speed of the vehicle specifically includes:

[0031] When a'≥b', determine the first pass length L 0，b' =D b', and obtain the mean value VAVEi of the average vehicle speed on the road section during the i-th collection cycle, and calculate the travel time and taking the driving time as the duration after the signal light turns green;

[0032] When a'<b', determine the second pass length L 0，a' =D a', and calculate the travel time and the driving time is taken as the duration after the traffic light turns green.

[0033] As a further solution of the present invention, the process of determining the duration after the traffic light turns green according to the length of the road section to be passed, the length of the passing road section and the average driving speed of the vehicle further includes the following steps:

[0034] Set the signal light duration range [Tmin, Tmax];

[0035] When the driving time T<Tmin, let the driving time T=Tmin;

[0036] When the driving time T>Tmax, let the driving time T=Tmax.

[0037] As a further solution of the present invention: in the step S2, after determining the Ath monitoring section on the first section, when the distance between the end point of the Ath monitoring section and the end point of the first section is less than D, the Ath monitoring section is used as the last monitoring section on the first section.

[0038] A data analysis system for an on-vehicle OBU, comprising:

[0039] Initial module: determine the roads on both sides of the signal light position, determine the intersection position on the road with the shortest distance to the signal light position, and use the section between the signal light position and the intersection position as the initial section, and mark the initial section as the first section and the second section respectively according to the road traffic direction, and the road traffic direction is from the first section to the second section;

[0040] The road section determination module: taking the location of the traffic light as the starting point, setting a plurality of monitoring sections on the first road section at a preset distance interval D, and sorting them according to the distance between the center point of the monitoring section and the location of the traffic light. The longer the distance between the center point of the monitoring section and the location of the traffic light, the lower the ranking, and the first sorting is generated;

[0041] Calculate the average driving speed of vehicles on the first road section within a preset collection period, and select target vehicles therein, wherein the target vehicles are vehicles whose average driving speed is less than a preset average driving speed threshold value, and when the ratio of the target vehicles to the total number of vehicles in the monitoring road section is greater than or equal to the preset ratio threshold value, the corresponding monitoring road section is regarded as a congested road section;

[0042] Starting from the first monitored road section in the first sorting, determine in turn whether the monitored road section is a congested road section, and determine the first pending value a according to the preset constraint condition, and calculate the average value a' of the first pending values ​​of m acquisition cycles, where m is a preset value, and take the monitored road sections whose sorting positions belong to [1, a'] in the first sorting as the road sections to be passed;

[0043] Passing module: determine the passing section, which is the monitoring section for vehicles to pass, and determine the duration after the traffic light turns green based on the length of the section to pass, the length of the passing section and the average driving speed of the vehicle.

[0044] Beneficial effects of the present invention: In the present invention, the roads on both sides of the signal light position are first determined, and the first section and the second section are determined; it should be noted that, if there is a signal light at a certain position on a road, and the road traffic direction points from the road on the left side of the signal light to the road on the right side of the signal light, then the road on the left side of the signal light is the first section; then, the first section is divided into several monitoring sections, and a first ranking is generated, which is the basis for subsequent screening of sections to be passed; by dividing the first section into several monitoring sections, different monitoring sections can be processed separately, reducing the complexity of the overall analysis; then the average driving speed of the vehicle during the collection period is determined, and the congested section is screened according to the average driving speed of the vehicle; it is worth noting that in actual situations, there is also a certain difference in the driving speed of vehicles at different positions on the same section. For example, when the signal light is red, the closer the position on the first section is to the signal light, the slower the driving speed of the vehicle should be or even the driving speed should be 0, because the vehicle needs to wait for the signal light to turn green. Therefore, the congested section is screened by the average driving speed of the vehicle, so as to determine which positions on the first section are waiting for the vehicle. Waiting for the traffic light; the length of the collection cycle can be set by experience, and the time point when the collection cycle ends is the time when the traffic light starts to turn green; then, the first pending value a is selected according to the preset constraint conditions, and the road section to be passed is determined according to the mean of the first pending value. Considering that the traffic conditions of the same road section at different time periods are quite different, the method of setting m collection cycles and calculating the mean of the first pending value is selected to reduce the error; then, the passable road section is determined. The passable road section is the road section with relatively good traffic conditions on the second road section. The vehicles waiting for the traffic light on the first road section will be removed when they reach the passable road section. At this time, the vehicles on the original passable section have already left the passable section. Therefore, the vehicles waiting for the signal light on the first section arrive at the passable section, and will not affect the traffic conditions on the second section. At the same time, vehicles pass through the intersection in sequence. Therefore, when the front vehicle has not passed the intersection, the subsequent vehicles cannot pass the intersection. Even if there is overtaking, there will not be too many vehicles entering the passable section at the same time to affect the traffic efficiency of the passable section. Finally, the duration after the signal light turns green is determined according to the length of the section to be passed, the length of the passable section and the average driving speed of the vehicle. The present invention can avoid traffic congestion caused by too many vehicles merging into a certain road. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The present invention will be further described below in conjunction with the accompanying drawings.

[0046] Figure 1 The present invention is a flow chart of a data analysis method for an on-vehicle OBU. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] See also Figure 1 As shown, the present invention is a data analysis method for a vehicle-mounted OBU, comprising the following steps:

[0049] S1: Determine the roads on both sides of the signal light position, and determine the intersection position on the road with the shortest distance to the signal light position, and use the section between the signal light position and the intersection position as the initial section, and mark the initial section as the first section and the second section respectively according to the road traffic direction, and the road traffic direction is from the first section to the second section;

[0050] S2: starting from the location of the traffic light, setting a plurality of monitoring sections on the first section at a preset distance interval D, and sorting them according to the distance between the center point of the monitoring section and the location of the traffic light. The longer the distance between the center point of the monitoring section and the location of the traffic light, the lower the ranking, thereby generating a first sorting;

[0051] Calculate the average driving speed of vehicles on the first road section within a preset collection period, and select target vehicles therein, wherein the target vehicles are vehicles whose average driving speed is less than a preset average driving speed threshold value, and when the ratio of the target vehicles to the total number of vehicles in the monitoring road section is greater than or equal to the preset ratio threshold value, the corresponding monitoring road section is regarded as a congested road section;

[0052] Starting from the first monitored road section in the first sorting, determine in turn whether the monitored road section is a congested road section, and determine the first pending value a according to the preset constraint condition, and calculate the average value a' of the first pending values ​​of m acquisition cycles, where m is a preset value, and take the monitored road sections whose sorting positions belong to [1, a'] in the first sorting as the road sections to be passed;

[0053] S3: Determine a passable road section, where the passable road section is a monitoring road section for vehicles to pass through, and determine the duration after the traffic light turns green based on the length of the road section to pass, the length of the passable road section and the average driving speed of the vehicle.

[0054] It should be noted that, first, the roads on both sides of the signal light position are determined, and the first section and the second section are determined; it should be noted that, if there is a signal light at a certain position on a road, and the road traffic direction is from the road on the left side of the signal light to the road on the right side of the signal light, then the road on the left side of the signal light is the first section; then, the first section is divided into several monitoring sections, and a first ranking is generated, which is the basis for subsequent screening of sections to be passed; by dividing the first section into several monitoring sections, different monitoring sections can be processed separately, reducing the complexity of the overall analysis; then the average driving speed of the vehicle during the collection period is determined, and the congested sections are screened according to the average driving speed of the vehicle; it is worth noting that in actual situations, there is a certain difference in the driving speed of vehicles at different positions on the same section. For example, when the signal light is red, the closer the position on the first section is to the signal light, the slower the driving speed of the vehicle should be or even 0, because the vehicle needs to wait for the signal light to turn green. Therefore, the congested sections are screened by the average driving speed of the vehicle, so as to determine which positions on the first section are waiting for the signal light. ; The length of the collection cycle can be set by experience, and the time point when the collection cycle ends is the time when the traffic light starts to turn green; then, the first pending value a is selected according to the preset constraint conditions, and the road section to be passed is determined according to the mean of the first pending value. Considering that the traffic conditions of the same road section at different time periods are quite different, the method of setting m collection cycles and calculating the mean of the first pending value is selected to reduce the error; then, the passable road section is determined. The passable road section is the road section with relatively good traffic conditions on the second road section. When the vehicles waiting for the traffic light on the first road section reach the passable road section, The vehicles on the original pass section have already left the pass section. Therefore, the vehicles waiting for the traffic light on the first section arriving at the pass section will not affect the traffic situation on the second section. At the same time, vehicles pass through the intersection in sequence. Therefore, when the front vehicle has not passed the intersection, the subsequent vehicles cannot pass the intersection. Even if there is overtaking, there will not be too many vehicles entering the pass section at the same time to affect the traffic efficiency of the pass section. Finally, the duration after the traffic light turns green is determined based on the length of the section to be passed, the length of the pass section and the average driving speed of the vehicle.

[0055] In another preferred implementation of the present invention, in step S2, the process of determining the congested road section specifically includes:

[0056] During the collection period, the vehicle's driving speed on the first road section is determined by the on-board OBU, and a speed-time curve f(t) is drawn, t∈[tsta, tend], tsta and tend respectively represent the start and end time points of the collection period, and the average driving speed of the vehicle during the collection period is determined. , and when the average driving speed of the vehicle V<V', the vehicle is marked as a target vehicle, and V' represents a preset average driving speed threshold;

[0057] The position of the vehicle at Tend is determined by the on-board OBU, and the vehicle ratio C=Cgoa / Ctot is calculated, where Cgoa represents the number of target vehicles in the monitored section, and Ctot represents the total number of vehicles in the monitored section. When the vehicle ratio C≥C', the monitored section is regarded as a congested section, and C' represents the preset ratio threshold.

[0058] It is worth noting that the method for determining the vehicle's driving speed on the first road section through the on-board OBU can be: the on-board OBU receives the wheel rotation speed measured by the sensor, and the vehicle's driving speed can be directly calculated through the rotation speed and the wheel circumference. This belongs to the prior art and will not be elaborated on here; the specific values ​​of V' and C' can be set by experience.

[0059] In another preferred implementation of the present invention, in step S2, the first undetermined value a satisfies the following constraints:

[0060] X a =0;

[0061] X a+1 =1;

[0062] ;

[0063] Among them, X a represents the congestion value of the a-th monitoring section. When the a-th monitoring section is a congested section, X a =0; when the ath monitored section is a smooth section, X a =1, the unblocked road section is a monitoring road section where the ratio of target vehicles to the total number of vehicles is less than a preset ratio threshold.

[0064] It can be understood that the constraint condition of the first pending value a is used to determine the sorting position of the first unobstructed section in the first sorting. The monitored section before the sorting position may have low traffic efficiency (measured by the proportion of target vehicles) due to "waiting for the traffic light", that is, the monitored section before the sorting position needs to pass through the location of the traffic light to enter the second section.

[0065] In another preferred implementation of the present invention, in step S3, the process of determining the passable road section specifically includes:

[0066] Determine a second ranking, and starting from the first monitored road section in the second ranking, determine in turn whether the monitored road sections are unblocked sections, and determine a second pending value b according to a preset constraint condition, and calculate a mean value b' of the second pending values ​​of m acquisition cycles, and take the monitored road sections whose ranking positions belong to [1, b'] in the second ranking as passable sections;

[0067] Wherein, the second undetermined value b satisfies the following constraints:

[0068] X b =1;

[0069] X b+1 =0;

[0070] sum{r=0|r∈(XJH)};

[0071] XJH=(X1,X2,…,X b );

[0072] Among them, sum{r=0|r∈XJH} means counting the number of elements that are 0 in XJH.

[0073] It is worth noting that the method for determining the second sorting is similar to the method for determining the first sorting, and the principle of this step is similar to the method for determining the first undetermined value a, which will not be elaborated on in detail.

[0074] In another preferred implementation of the present invention, in step S3, the process of determining the duration after the traffic light turns green according to the length of the road section to be passed, the length of the passing road section and the average driving speed of the vehicle specifically includes:

[0075] When a'≥b', determine the first pass length L 0，b' =D b', and obtain the mean value VAVEi of the average vehicle speed on the road section during the i-th collection cycle, and calculate the travel time and taking the driving time as the duration after the signal light turns green;

[0076] When a'<b', determine the second pass length L 0，a' =D a', and calculate the travel time and the driving time is taken as the duration after the traffic light turns green.

[0077] In another preferred implementation of the present invention, the process of determining the duration after the traffic light turns green according to the length of the road section to be passed, the length of the passing road section and the average driving speed of the vehicle further includes the following steps:

[0078] Set the signal light duration range [Tmin, Tmax];

[0079] When the driving time T<Tmin, let the driving time T=Tmin;

[0080] When the driving time T>Tmax, let the driving time T=Tmax.

[0081] It can be understood that by limiting the green light time within a reasonable range, the traffic efficiency and safety of the intersection can be ensured, traffic accidents or congestion caused by unreasonable signal light time can be prevented, and traffic flow management can be optimized.

[0082] In another preferred implementation of the present invention, in the step S2, after determining the Ath monitoring section on the first section, when the distance between the end point of the Ath monitoring section and the end point of the first section is less than D, the Ath monitoring section is used as the last monitoring section on the first section.

[0083] A data analysis system for an on-vehicle OBU, comprising:

[0084] Initial module: determine the roads on both sides of the signal light position, determine the intersection position on the road with the shortest distance to the signal light position, and use the section between the signal light position and the intersection position as the initial section, and mark the initial section as the first section and the second section respectively according to the road traffic direction, and the road traffic direction is from the first section to the second section;

[0085] The road section determination module: taking the location of the traffic light as the starting point, setting a plurality of monitoring sections on the first road section at a preset distance interval D, and sorting them according to the distance between the center point of the monitoring section and the location of the traffic light. The longer the distance between the center point of the monitoring section and the location of the traffic light, the lower the ranking, and the first sorting is generated;

[0086] Calculate the average driving speed of vehicles on the first road section within a preset collection period, and select target vehicles therein, wherein the target vehicles are vehicles whose average driving speed is less than a preset average driving speed threshold value, and when the ratio of the target vehicles to the total number of vehicles in the monitoring road section is greater than or equal to the preset ratio threshold value, the corresponding monitoring road section is regarded as a congested road section;

[0087] Starting from the first monitored road section in the first sorting, determine in turn whether the monitored road section is a congested road section, and determine the first pending value a according to the preset constraint condition, and calculate the average value a' of the first pending values ​​of m acquisition cycles, where m is a preset value, and take the monitored road sections whose sorting positions belong to [1, a'] in the first sorting as the road sections to be passed;

[0088] Passing module: determine the passing section, which is the monitoring section for vehicles to pass, and determine the duration after the traffic light turns green based on the length of the section to pass, the length of the passing section and the average driving speed of the vehicle.

[0089] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A data analysis method for a vehicle-mounted OBU, characterized in that: The following steps are involved: S1: Determine the roads on both sides of the signal light position, and determine the intersection position on the road with the shortest distance to the signal light position, and use the section between the signal light position and the intersection position as the initial section, and mark the initial section as the first section and the second section respectively according to the road traffic direction, and the road traffic direction is from the first section to the second section; S2: starting from the location of the traffic light, setting a plurality of monitoring sections on the first section at a preset distance interval D, and sorting them according to the distance between the center point of the monitoring section and the location of the traffic light. The longer the distance between the center point of the monitoring section and the location of the traffic light, the lower the ranking, thereby generating a first sorting; Calculate the average driving speed of vehicles on the first road section within a preset collection period, and select target vehicles therein, wherein the target vehicles are vehicles whose average driving speed is less than a preset average driving speed threshold value, and when the ratio of the target vehicles to the total number of vehicles in the monitoring road section is greater than or equal to the preset ratio threshold value, the corresponding monitoring road section is regarded as a congested road section; Starting from the first monitored road section in the first sorting, determine in turn whether the monitored road section is a congested road section, and determine the first pending value a according to the preset constraint condition, and calculate the average value a' of the first pending values ​​of m acquisition cycles, where m is a preset value, and take the monitored road sections whose sorting positions belong to [1, a'] in the first sorting as the road sections to be passed; S3: Determine a passable road section, where the passable road section is a monitoring road section for vehicles to pass through, and determine the duration after the traffic light turns green according to the length of the road section to pass through, the length of the passable road section and the average driving speed of the vehicle; The process of determining the duration after the traffic light turns green according to the length of the road section to be passed, the length of the passing road section and the average driving speed of the vehicle specifically includes: When a'≥b', determine the first pass length L 0，b' =D b', and obtain the mean value VAVEi of the average vehicle speed on the road section during the i-th collection cycle, and calculate the travel time and taking the driving time as the duration after the signal light turns green; When a'<b', determine the second pass length L 0，a' =D a', and calculate the travel time and taking the driving time as the duration after the signal light turns green; The first undetermined value a satisfies the following constraints: X a =0； X a+1 =1； ； Among them, X a represents the congestion value of the a-th monitoring section. When the a-th monitoring section is a congested section, X a =0; when the ath monitored section is a smooth section, X a =1, the unblocked road section is a monitoring road section where the ratio of target vehicles to total vehicles is less than a preset ratio threshold; The process of determining the passable road section specifically includes: Determine a second ranking, and starting from the first monitored road section in the second ranking, determine in turn whether the monitored road sections are unblocked sections, and determine a second pending value b according to a preset constraint condition, and calculate a mean value b' of the second pending values ​​of m acquisition cycles, and take the monitored road sections whose ranking positions belong to [1, b'] in the second ranking as passable sections; Wherein, the second undetermined value b satisfies the following constraints: X b =1； X b+1 =0； sum{r=0|r∈(XJH)}=0; XJH=(X1,X2,…,X b ); Among them, sum{r=0|r∈XJH} means counting the number of elements that are 0 in XJH.

2. The data analysis method of a vehicle-mounted OBU according to claim 1, wherein In step S2, the process of determining the congested road section specifically includes: During the collection period, the vehicle's driving speed on the first road section is determined by the on-board OBU, and a speed-time curve f(t) is drawn, t∈[tsta, tend], tsta and tend respectively represent the start and end time points of the collection period, and the average driving speed of the vehicle during the collection period is determined. , and when the average driving speed of the vehicle V<V', the vehicle is marked as a target vehicle, and V' represents a preset average driving speed threshold; The position of the vehicle at Tend is determined by the on-board OBU, and the vehicle ratio C=Cgoa / Ctot is calculated, where Cgoa represents the number of target vehicles in the monitored section, and Ctot represents the total number of vehicles in the monitored section. When the vehicle ratio C≥C', the monitored section is regarded as a congested section, and C' represents the preset ratio threshold.

3. The data analysis method of a vehicle-mounted OBU according to claim 1, wherein The process of determining the duration after the traffic light turns green according to the length of the road section to be passed, the length of the passing road section and the average driving speed of the vehicle also includes the following steps: Set the signal light duration range [Tmin, Tmax]; When the driving time T<Tmin, let the driving time T=Tmin; When the driving time T>Tmax, let the driving time T=Tmax.

4. The data analysis method of a vehicle-mounted OBU according to claim 1, wherein In the step S2, after determining the Ath monitoring section on the first section, when the distance between the end point of the Ath monitoring section and the end point of the first section is less than D, the Ath monitoring section is used as the last monitoring section on the first section.

5. A data analysis system for an on-vehicle OBU, characterized in that: include: Initial module: determine the roads on both sides of the signal light position, determine the intersection position on the road with the shortest distance to the signal light position, and use the section between the signal light position and the intersection position as the initial section, and mark the initial section as the first section and the second section respectively according to the road traffic direction, and the road traffic direction is from the first section to the second section; The road section determination module: taking the location of the traffic light as the starting point, setting a plurality of monitoring sections on the first road section at a preset distance interval D, and sorting them according to the distance between the center point of the monitoring section and the location of the traffic light. The longer the distance between the center point of the monitoring section and the location of the traffic light, the lower the ranking, and the first sorting is generated; Calculate the average driving speed of vehicles on the first road section within a preset collection period, and select target vehicles therein, wherein the target vehicles are vehicles whose average driving speed is less than a preset average driving speed threshold value, and when the ratio of the target vehicles to the total number of vehicles in the monitoring road section is greater than or equal to the preset ratio threshold value, the corresponding monitoring road section is regarded as a congested road section; Starting from the first monitored road section in the first sorting, determine in turn whether the monitored road section is a congested road section, and determine the first pending value a according to the preset constraint condition, and calculate the average value a' of the first pending values ​​of m acquisition cycles, where m is a preset value, and take the monitored road sections whose sorting positions belong to [1, a'] in the first sorting as the road sections to be passed; Passing module: determining a passing section, wherein the passing section is a monitoring section for vehicles to pass through, and determining the duration after the traffic light turns green according to the length of the section to pass through, the length of the passing section and the average speed of the vehicle; The process of determining the duration after the traffic light turns green according to the length of the road section to be passed, the length of the passing road section and the average driving speed of the vehicle specifically includes: When a'≥b', determine the first pass length L 0，b' =D b', and obtain the mean value VAVEi of the average vehicle speed on the road section during the i-th collection cycle, and calculate the travel time and taking the driving time as the duration after the signal light turns green; When a'<b', determine the second pass length L 0，a' =D a', and calculate the travel time and taking the driving time as the duration after the signal light turns green; The first undetermined value a satisfies the following constraints: X a =0； X a+1 =1； ； Among them, X a represents the congestion value of the a-th monitoring section. When the a-th monitoring section is a congested section, X a =0; when the ath monitored section is a smooth section, X a =1, the unblocked road section is a monitoring road section where the ratio of target vehicles to total vehicles is less than a preset ratio threshold; The process of determining the passable road section specifically includes: Determine a second ranking, and starting from the first monitored road section in the second ranking, determine in turn whether the monitored road sections are unblocked sections, and determine a second pending value b according to a preset constraint condition, and calculate a mean value b' of the second pending values ​​of m acquisition cycles, and take the monitored road sections whose ranking positions belong to [1, b'] in the second ranking as passable sections; Wherein, the second undetermined value b satisfies the following constraints: X b =1； X b+1 =0； sum{r=0|r∈(XJH)}=0; XJH=(X1,X2,…,X b ); Among them, sum{r=0|r∈XJH} means counting the number of elements that are 0 in XJH.

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