CN107644527B - Traffic flow detection method and system - Google Patents
Traffic flow detection method and system Download PDFInfo
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Abstract
The invention discloses a traffic flow detection method and a system, and the traffic flow detection method comprises the following steps: establishing an RSSI database, wherein the RSSI database comprises a plurality of preset RSSI value groups and the number of vehicles corresponding to the preset RSSI value groups, and the preset RSSI value groups comprise a plurality of preset RSSI values; the method comprises the following steps that a Bluetooth receiving device receives Bluetooth transmitting signals sent by a plurality of Bluetooth transmitting devices within a preset time, and a plurality of actual RSSI values of the Bluetooth transmitting signals are obtained; the Bluetooth receiving device is used for matching the actual RSSI value through the preset RSSI value in the preset RSSI value group, if the matching is successful, the vehicle quantity corresponding to the preset RSSI value group where the preset RSSI value is located is obtained from the RSSI database, and the obtained vehicle quantity after the matching is successful each time is summed and the traffic flow in unit time is calculated. The cost is greatly reduced on the premise of ensuring the detection precision, and the method is convenient to implement.
Description
Technical Field
The invention relates to a traffic flow detection method and a system
Background
Along with the increasingly accelerated urbanization process in China, the increasingly perfect traffic system becomes a core problem of the development of the current society. How to alleviate the increasingly serious traffic problem through the construction of intelligent traffic systems has become a research hotspot in the traffic field. The traffic flow detection system is a basic part of intelligent traffic, and plays an important role in the works of urban road construction, national highway construction, tunnel bridge construction and traffic management.
In recent years, various traffic detection technologies typified by an air duct detection technology, a magnetic induction detection technology, a wave frequency detection technology, a video detection technology, and the like have been developed. The traffic flow detection mainly detects vehicles running on the road surface through various sensing devices to obtain related traffic parameters so as to achieve automatic detection, monitoring and alarming of traffic conditions and abnormal events of all road sections of the road.
The existing traffic flow detection method comprises an air pipeline detection technology, a magnetic induction detection technology and a wave frequency detection technology.
1) Air pipeline detection technology
The air pipe detection is a contact detection method, a hollow plastic pipe is pulled and fixed at a detection point of a main line of an expressway, one end of the hollow plastic pipe is closed, the other end of the hollow plastic pipe is connected with a counter, when a vehicle passes through the plastic pipe, wheels of the vehicle are pressed to the air pipe, and air in the pipe is extruded to trigger the counter to calculate the vehicle flow. Obviously, the method can only acquire single vehicle information, and is tedious and short in service life.
2) Magnetic induction detection technique
Magnetic induction detectors can be divided into two types, coil and magnetoresistive sensors. The loop coil detector is the most widely used detection equipment in the world at present, and consists of a coil buried under a road surface and electronic equipment capable of measuring the inductance of the coil. The vehicle passes through the coil, the magnetic field of the coil is changed, and the detector calculates traffic parameters such as the flow, the speed, the time occupancy rate and the length of the vehicle according to the change. An LC oscillator and a general single chip microcomputer are utilized to form the induction coil detection system. When the inductance L of the induction coil changes, the oscillation frequency of the LC oscillator also changes, and the single chip microcomputer acquires the oscillation frequency and gives high and level signals through the frequency change to judge whether a vehicle passes through. Because the coils are fixedly buried on the ground, when the vehicle runs in an abnormal riding line without regulation, the two coils of the adjacent lanes sense the metal vehicle body and generate misjudgment, and after the induction coils are buried, the maintainability of the road surface is reduced.
3) Wave frequency detection technique
The wave frequency vehicle detection is a detection method (mostly a suspension type detection system) for generating induction to the electromagnetic wave emitted by the vehicle. The detection may be classified into radar (microwave) detection, ultrasonic detection, infrared detection, and the like according to the difference in the transmitted electromagnetic wave. In the three methods based on wave frequency detection, because the electromagnetic wave can be attenuated along with the propagation distance in the propagation process, the echo signal is very weak and almost submerged by noise, and the problems of misjudgment, shielding, complex installation, inconvenience in maintenance, insufficient traffic flow information and the like exist in practical application.
Disclosure of Invention
The invention provides a traffic flow detection method and a traffic flow detection system, aiming at overcoming the defects of low reliability, high cost, low generalization degree, inconvenience in maintenance and the like of the traffic flow detection method in the prior art.
The invention solves the technical problems through the following technical scheme:
a traffic flow detection method comprises the following steps:
s1, establishing an RSSI (Received Signal Strength Indication) database, wherein the RSSI database comprises a plurality of preset RSSI value groups and the number of vehicles corresponding to the preset RSSI value groups, and the preset RSSI value groups comprise a plurality of preset RSSI values;
s2, the Bluetooth receiving device receives Bluetooth transmitting signals sent by a plurality of Bluetooth transmitting devices within a preset time, and a plurality of actual RSSI values of the Bluetooth transmitting signals transmitted by each Bluetooth transmitting device within the preset time are obtained;
and S3, the Bluetooth receiving device is used for retrieving the RSSI database according to the actual RSSI value, matching the actual RSSI value through a preset RSSI value in the preset RSSI value set, if the matching is successful, acquiring the number of vehicles corresponding to the preset RSSI value set where the preset RSSI value is located from the RSSI database, summing the number of the vehicles acquired after the matching is successful each time and calculating the traffic flow in unit time.
In the scheme, the RSSI value group and the data corresponding to the number of vehicles are stored by establishing an off-line RSSI database, when the traffic flow needs to be detected, the Bluetooth receiving device receives Bluetooth transmitting signals transmitted by the Bluetooth transmitting device at preset time and obtains the actual RSSI values of the Bluetooth transmitting signals, and then the RSSI database is searched to confirm the preset RSSI value group corresponding to each actual RSSI value and obtain the corresponding number of vehicles, so that the total number of the number of vehicles at preset time and the traffic flow in unit time are determined.
Preferably, in step S1, each of the preset RSSI value sets includes a preset RSSI value, and the preset RSSI value is a first preset RSSI value;
in step S2, the bluetooth receiving apparatus receives a bluetooth transmitting signal sent by a bluetooth transmitting apparatus within a preset time, where the bluetooth transmitting apparatus is a first bluetooth transmitting apparatus, and the actual RSSI value is a first actual RSSI value.
In the scheme, when matching is carried out, only the first actual RSSI value is matched with a preset RSSI value set, and if matching is successful, the number of vehicles corresponding to the RSSI value set is obtained.
Preferably, in step S1, each of the preset RSSI value sets includes three preset RSSI values, which are a first preset RSSI value, a second preset RSSI value and a third preset RSSI value;
in step S2, the bluetooth receiving device receives the bluetooth transmitting signals sent by three bluetooth transmitting devices within a preset time, the three Bluetooth transmitting devices comprise a first Bluetooth transmitting device, a second Bluetooth transmitting device and a third Bluetooth transmitting device, the plurality of actual RSSI values comprises a plurality of first actual RSSI values, a plurality of second actual RSSI values and a plurality of third actual RSSI values, the first actual RSSI values are actual RSSI values of the Bluetooth transmission signals sent by the first Bluetooth transmitting device and received by the Bluetooth receiving device within a preset time, the second actual RSSI values are actual RSSI values of the Bluetooth transmission signals transmitted by the second Bluetooth transmitting device and received by the Bluetooth receiving device within a preset time, the third actual RSSI values are actual RSSI values of a bluetooth transmission signal sent by a third bluetooth transmission device received by the bluetooth receiving device within a preset time;
in step S3, the bluetooth receiving device is configured to match a first actual RSSI value by a first preset RSSI value in the preset RSSI value sets, match a second actual RSSI value by a second preset RSSI value in the preset RSSI value sets, and match a third actual RSSI value by a third preset RSSI value in the preset RSSI value sets, if matching is successful at the same time, obtain, from the RSSI database, the number of vehicles corresponding to the first preset RSSI value, the second preset RSSI value, and the preset RSSI value set where the third preset RSSI value is located, and calculate the total number of vehicles in the preset time and the traffic flow rate in unit time.
In the scheme, the first actual RSSI value, the second actual RSSI value and the third actual RSSI value are simultaneously matched with the preset RSSI value group in the RSSI database, if the matching is successful, the total number of vehicles in the preset time is obtained, and the detection precision of the traffic flow is improved.
Preferably, the calculation formula for calculating the traffic flow rate in the unit time is as follows: (N1+ N2+ … … + Ni)/t, wherein N1 is the number of vehicles acquired after the 1 st matching is successful in the preset time, N2 is the number of vehicles acquired after the 2 nd matching is successful in the preset time, Ni is the number of vehicles acquired after the ith matching is successful in the preset time, and t is the preset time.
A traffic flow detection system comprises an RSSI database, a Bluetooth receiving device and a plurality of Bluetooth transmitting devices;
the RSSI database comprises a plurality of preset RSSI value groups and the number of vehicles corresponding to the preset RSSI value groups, wherein the preset RSSI value groups comprise a plurality of preset RSSI values;
the Bluetooth receiving device is used for receiving Bluetooth transmitting signals sent by a plurality of Bluetooth transmitting devices within a preset time and acquiring a plurality of actual RSSI values of the Bluetooth transmitting signals transmitted by each Bluetooth transmitting device within the preset time;
the Bluetooth receiving device is further used for retrieving the RSSI database according to the actual RSSI values, matching the actual RSSI values through preset RSSI values in the preset RSSI value groups, if the matching is successful, obtaining the vehicle number corresponding to the preset RSSI value group where the preset RSSI values are located from the RSSI database, summing the obtained vehicle numbers after the matching is successful every time and calculating the traffic flow in unit time.
Preferably, the plurality of bluetooth transmitting devices include a first bluetooth transmitting device, a second bluetooth transmitting device and a third bluetooth transmitting device, the first bluetooth transmitting device, the second bluetooth transmitting device and the third bluetooth transmitting device are parallelly and parallelly arranged on one side of the detected traffic road, and the bluetooth receiving device is arranged on the other side of the detected traffic road.
On the basis of the common knowledge in the field, the above preferred conditions can be combined randomly to obtain the preferred embodiments of the invention.
The positive progress effects of the invention are as follows: the traffic flow detection method and the traffic flow detection system have the advantages of higher universality degree, lower cost and convenience in maintenance, and due to the development of the intelligent terminal, the traffic flow information can be acquired in real time through the intelligent terminal such as a mobile phone, so that the data interaction is facilitated.
Drawings
Fig. 1 is a flowchart of a traffic flow detection method according to embodiment 1 of the present invention.
Fig. 2 is a flowchart of a traffic flow detection method according to embodiment 2 of the present invention.
Fig. 3 is a schematic structural diagram of a traffic flow detection system according to embodiment 2 of the present invention.
Fig. 4 is a schematic view of a working scenario of a traffic flow detection system according to embodiment 2 of the present invention.
Detailed Description
The invention is further illustrated by the following examples, which are not intended to limit the scope of the invention.
Example 1
The embodiment provides a traffic flow detection method, as shown in fig. 1, including the following steps:
102, the bluetooth receiving device receives a bluetooth transmitting signal sent by a first bluetooth transmitting device within a preset time, and obtains a plurality of first actual RSSI values of the bluetooth transmitting signal transmitted by each bluetooth transmitting device within the preset time.
And 103, the Bluetooth receiving device is used for retrieving the RSSI database according to the plurality of first actual RSSI values, matching the first actual RSSI values through first preset RSSI values in the preset RSSI value groups, if the matching is successful, acquiring the number of vehicles corresponding to the preset RSSI value group where the first preset RSSI values are located from the RSSI database, summing the number of the vehicles acquired after each matching is successful, and calculating the traffic flow in unit time.
The calculation formula for calculating the traffic flow in the unit time is as follows: (N1+ N2+ … … + Ni)/t, wherein N1 is the number of vehicles acquired after the 1 st matching is successful in the preset time, N2 is the number of vehicles acquired after the 2 nd matching is successful in the preset time, Ni is the number of vehicles acquired after the ith matching is successful in the preset time, and t is the preset time.
When the Bluetooth receiving device receives the Bluetooth transmitting signals of the Bluetooth transmitting device, due to the fact that the vehicles block the signals, the RSSI value of the received Bluetooth transmitting signals can be affected by obstacles, the receiving distances are different, the RSSI value is also different, the RSSI value can be determined according to the types of the blocked vehicles, the number of the vehicles and the distance between the Bluetooth transmitting device and the Bluetooth receiving device, an off-line RSSI database is built through the method, and the number of the vehicles can be obtained through the RSSI value in the built RSSI database.
For example, if the bluetooth receiving device acquires 100 first actual RSSI values within a preset time of 5s, each first actual RSSI value is matched through a first preset RSSI value in the preset RSSI value sets by searching the RSSI database, and if the matching is successful, the number of vehicles corresponding to the first actual RSSI value is acquired, so that the number of vehicles is acquired after the 100 first actual RSSI values within 5s are successfully matched each time, N1 is the number of acquired vehicles after the first actual RSSI value is successfully matched within 5s, N2 is the number of acquired vehicles after the second actual RSSI value is successfully matched within 5s, and N100 is the number of acquired vehicles after the 100 th time is successfully matched within 5 s. The sum of the number of vehicles acquired in 5s is: the traffic flow in (N1+ N2+ … … + N100)5s is (N1+ N2+ … … + N100)/5, and the unit is: every second.
In the RSSI database, the set of the first preset RSSI values is (-20.1, -20,5, -20.9, -30), and the set of the number of vehicles corresponding to the preset RSSI value set in which the first preset RSSI value is located is (3, 4, 5, 10), that is, when the first preset RSSI value is-20.1, the number of corresponding vehicles is 3; when the first preset RSSI value is-20.5, the corresponding number of vehicles is 4; when the first preset RSSI value is-20.9, the corresponding number of vehicles is 5; when the first preset RSSI value is-30, the corresponding number of vehicles is 10, which is only an example, and the preset RSSI value in the RSSI database and the corresponding number of vehicles are not limited thereto, and can be selected according to actual situations.
Example 2
The traffic flow detection method of the embodiment is further improved on the basis of the implementation 1, and the improvement is that: as shown in fig. 2, the method comprises the following steps:
For example, in the RSSI database, there are 100 preset RSSI value sets, each corresponding to a number of vehicles, wherein the set of 3 preset RSSI value sets is [ (-20.1, -20.12, -20.14), (-21.1, -21.12, -21.14), (-25.6, -25.61, -25.62) ], the corresponding set of number of vehicles (3, 4, 5), and the first preset RSSI value set is (-20.1, -20.12, -20.14), and the corresponding number of vehicles is 3. The bluetooth receiving apparatus obtains 100 first actual RSSI values, 100 second actual RSSI values and 100 third actual RSSI values within 5s, and receives a first actual RSSI value, a second actual RSSI value and a third actual RSSI value of 3 bluetooth transmitting apparatuses each time within 5s, for example, a combination of the first actual RSSI value, the second actual RSSI value and the third actual RSSI value received at 20 th time is (-20.1, -20.12, -20.14), wherein the first actual RSSI value is-20.1, the second actual RSSI value is-20.12 and the third actual RSSI value is-20.14, the bluetooth receiving apparatus searches the database, matches the first actual RSSI value-20.1 with the first preset RSSI value-20.1 in the first preset RSSI value set, matches the second actual RSSI value-20.12 with the second preset RSSI value-20.12 in the first preset RSSI value set, and matching the third actual RSSI value-20.14 by using the third preset RSSI value-20.14 in the first preset RSSI value set, wherein the number of the vehicles corresponding to the first preset RSSI value set is 3 acquired by the Bluetooth receiving device due to successful matching, and then the Bluetooth transmitting signals of 3 Bluetooth transmitting devices are received and the RSSI database is continuously searched and matched.
In the scheme, the 3 Bluetooth transmitting devices can effectively improve the detection precision of the traffic flow, and meanwhile, different vehicle types can be accurately identified.
As shown in fig. 3 and 4, a traffic flow detecting system includes an RSSI database 15, a bluetooth receiving device 14, a first bluetooth transmitting device 11, a second bluetooth transmitting device 12 and a third bluetooth transmitting device 13;
the RSSI database comprises a plurality of preset RSSI value groups and the number of vehicles corresponding to the preset RSSI value groups, wherein the preset RSSI value groups comprise a plurality of preset RSSI values;
the bluetooth receiving device 14 is configured to receive bluetooth transmitting signals sent by the first bluetooth transmitting device, the second bluetooth transmitting device, and the third bluetooth transmitting device within a preset time, and acquire a plurality of actual RSSI values of the bluetooth transmitting signals transmitted by each bluetooth transmitting device within the preset time;
the bluetooth receiving device 14 is further configured to retrieve the RSSI database according to the actual RSSI value, match the actual RSSI value through a preset RSSI value in the preset RSSI value groups, acquire the number of vehicles corresponding to the preset RSSI value group where the preset RSSI value is located from the RSSI database if matching is successful, sum the acquired number of vehicles after matching is successful each time, and calculate the traffic flow in unit time.
The first bluetooth transmitting device 11, the second bluetooth transmitting device 12, and the third bluetooth transmitting device 13 are parallelly and parallelly disposed on one side of the detected traffic road, and the bluetooth receiving device 14 is disposed on the other side of the detected traffic road.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that these are by way of example only, and that the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the spirit and scope of the invention, and these changes and modifications are within the scope of the invention.
Claims (6)
1. A traffic flow detection method is characterized by comprising the following steps:
s1, establishing an RSSI database, wherein the RSSI database comprises a plurality of preset RSSI value groups and the number of vehicles corresponding to the preset RSSI value groups, and the preset RSSI value groups comprise preset RSSI values corresponding to a plurality of fixed Bluetooth transmitting devices respectively;
s2, the Bluetooth receiving device receives Bluetooth transmitting signals sent by a plurality of Bluetooth transmitting devices within a preset time, and a plurality of actual RSSI values of the Bluetooth transmitting signals transmitted by each Bluetooth transmitting device within the preset time are obtained;
and S3, the Bluetooth receiving device is used for retrieving the RSSI database according to the actual RSSI values, respectively matching the actual RSSI values corresponding to the corresponding Bluetooth transmitting devices through the preset RSSI values corresponding to each Bluetooth transmitting device in the preset RSSI value groups, if the matching is successful, acquiring the number of vehicles corresponding to the preset RSSI value group where the preset RSSI values are located from the RSSI database, summing the number of the vehicles acquired after each matching is successful, and calculating the traffic flow in unit time.
2. The traffic flow detecting method according to claim 1, wherein in step S1, each of the preset RSSI value groups includes a preset RSSI value, and the preset RSSI value is a first preset RSSI value;
in step S2, the bluetooth receiving apparatus receives a bluetooth transmitting signal sent by a bluetooth transmitting apparatus within a preset time, where the bluetooth transmitting apparatus is a first bluetooth transmitting apparatus, and the actual RSSI value is a first actual RSSI value.
3. The traffic flow detecting method according to claim 1, wherein in step S1, each of the preset RSSI value sets includes three preset RSSI values, which are a first preset RSSI value, a second preset RSSI value and a third preset RSSI value;
in step S2, the bluetooth receiving device receives the bluetooth transmitting signals sent by three bluetooth transmitting devices within a preset time, the three Bluetooth transmitting devices comprise a first Bluetooth transmitting device, a second Bluetooth transmitting device and a third Bluetooth transmitting device, the plurality of actual RSSI values comprises a plurality of first actual RSSI values, a plurality of second actual RSSI values and a plurality of third actual RSSI values, the first actual RSSI values are actual RSSI values of the Bluetooth transmission signals sent by the first Bluetooth transmitting device and received by the Bluetooth receiving device within a preset time, the second actual RSSI values are actual RSSI values of the Bluetooth transmission signals transmitted by the second Bluetooth transmitting device and received by the Bluetooth receiving device within a preset time, the third actual RSSI values are actual RSSI values of a bluetooth transmission signal sent by a third bluetooth transmission device received by the bluetooth receiving device within a preset time;
in step S3, the bluetooth receiving device is configured to match a first actual RSSI value by a first preset RSSI value in the preset RSSI value sets, match a second actual RSSI value by a second preset RSSI value in the preset RSSI value sets, and match a third actual RSSI value by a third preset RSSI value in the preset RSSI value sets, if matching is successful at the same time, obtain, from the RSSI database, the number of vehicles corresponding to the first preset RSSI value, the second preset RSSI value, and the preset RSSI value set where the third preset RSSI value is located, and calculate the total number of vehicles in the preset time and the traffic flow rate in unit time.
4. The traffic-flow detecting method according to claim 2, wherein a calculation formula for calculating the traffic flow per unit time is: (N1+ N2+ … … + Ni)/t, wherein N1 is the number of vehicles acquired after the 1 st matching is successful in the preset time, N2 is the number of vehicles acquired after the 2 nd matching is successful in the preset time, Ni is the number of vehicles acquired after the ith matching is successful in the preset time, and t is the preset time.
5. A traffic flow detection system is characterized by comprising an RSSI database, a Bluetooth receiving device and a plurality of Bluetooth transmitting devices;
the RSSI database comprises a plurality of preset RSSI value groups and the number of vehicles corresponding to the preset RSSI value groups, wherein the preset RSSI value groups comprise preset RSSI values respectively corresponding to a plurality of fixed Bluetooth transmitting devices;
the Bluetooth receiving device is used for receiving Bluetooth transmitting signals sent by a plurality of Bluetooth transmitting devices within a preset time and acquiring a plurality of actual RSSI values of the Bluetooth transmitting signals transmitted by each Bluetooth transmitting device within the preset time;
the Bluetooth receiving device is further used for retrieving the RSSI database according to the actual RSSI values, matching the actual RSSI values corresponding to the corresponding Bluetooth transmitting devices through the preset RSSI values corresponding to each Bluetooth transmitting device in the preset RSSI value groups, if the matching is successful, acquiring the number of vehicles corresponding to the preset RSSI value group where the preset RSSI values are located from the RSSI database, summing the number of the vehicles acquired after the matching is successful each time, and calculating the traffic flow in unit time.
6. The traffic flow detecting system according to claim 5, wherein the plurality of bluetooth transmitting devices include a first bluetooth transmitting device, a second bluetooth transmitting device and a third bluetooth transmitting device, the first bluetooth transmitting device, the second bluetooth transmitting device and the third bluetooth transmitting device are parallelly and parallelly arranged on one side of the detected traffic road, and the bluetooth receiving device is arranged on the other side of the detected traffic road.
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