[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

CN114743378A - Method and system for monitoring traffic flow in tunnel - Google Patents

Method and system for monitoring traffic flow in tunnel Download PDF

Info

Publication number
CN114743378A
CN114743378A CN202210530235.6A CN202210530235A CN114743378A CN 114743378 A CN114743378 A CN 114743378A CN 202210530235 A CN202210530235 A CN 202210530235A CN 114743378 A CN114743378 A CN 114743378A
Authority
CN
China
Prior art keywords
tunnel
vehicle
mobile terminal
license plate
wireless
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202210530235.6A
Other languages
Chinese (zh)
Inventor
谭清磊
张永亮
王春源
岳丽宏
撒占友
陈增荣
邵兵
王玉华
马池香
梁庆华
李楠
牟宏伟
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Qingdao University of Technology
Original Assignee
Qingdao University of Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Qingdao University of Technology filed Critical Qingdao University of Technology
Priority to CN202210530235.6A priority Critical patent/CN114743378A/en
Publication of CN114743378A publication Critical patent/CN114743378A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention provides a method and a system for monitoring traffic flow in a tunnel, which comprises the steps of collecting the wireless signal intensity of the same mobile terminal in vehicles at different positions by utilizing a plurality of first wireless access nodes which are pre-arranged in the tunnel, and establishing a mobile terminal tunnel position fingerprint database; acquiring license plate number information of a vehicle and an MAC (media access control) address of a mobile terminal in the vehicle, and establishing association between the license plate number and the MAC address of the mobile terminal in the vehicle; acquiring wireless signals of a plurality of mobile terminals in the vehicle in a tunnel in real time and preprocessing the wireless signals; based on the preprocessed wireless signals of the mobile terminal, determining the position of the mobile terminal according to position fingerprints at different positions in a tunnel position fingerprint database of the mobile terminal by using a position fingerprint positioning algorithm; determining the position of a vehicle based on the position of the mobile terminal to obtain real-time vehicle distribution information and vehicle speed in the tunnel; and judging the occurrence of traffic jam and emergency in the tunnel according to the real-time vehicle distribution information and the vehicle speed in the tunnel.

Description

Method and system for monitoring traffic flow in tunnel
Technical Field
The invention belongs to the technical field of tunnel traffic safety monitoring and early warning, and particularly relates to a method and a system for monitoring traffic flow in a tunnel.
Background
The statements in this section merely provide background information related to the present disclosure and may not constitute prior art.
With the development of economy and the increasing improvement of the living standard of people, the number of vehicles is also increased continuously, and the road construction is more and more perfect. The tunnel is an important way for constructing mountainous areas and cross-sea/river roads, the construction and operation mileage is gradually increased, and the tunnel is an important throat for highway and urban road traffic. The tunnel is large in traffic flow, relatively closed in space, dark in light and dirty in air, and is a road section where traffic accidents easily occur. Once a traffic accident occurs, due to the limited space, traffic jam is caused, rescue is difficult and complex, and secondary accidents are easily caused if the accident is not properly handled, so that huge losses are caused to lives and properties of people. At present, tunnel monitoring modes include a traditional manual inspection mode, an online video monitoring mode, a ground induction coil monitoring mode and the like. The manual inspection not only occupies a large amount of human resources, but also has low inspection efficiency, so that the manual inspection can only be used as an auxiliary means. The video monitoring mode is that cameras are arranged outside and in a tunnel portal, the cameras transmit video pictures reflecting real-time traffic conditions inside and outside the tunnel portal to a tunnel management station, but due to the fact that the coverage area of video monitoring equipment is limited, observers are not concentrated in attention and the like, managers often cannot perform early warning or accident response in time.
At present, the most widely used ground sensing coils and magnetic sensor detection can only detect the number of vehicles passing through the tunnel, but the distribution condition of the vehicles in the tunnel, the position of congestion or accident, related vehicle information and the like cannot be known, and the ground sensing coils need to be buried in the road surface, so that the later maintenance is not easy to implement. After an accident occurs in a tunnel (especially an ultra-long tunnel), the monitoring mode cannot timely determine the information (license plate, vehicle type, real-time position, number of drivers and passengers and the like) and the number of vehicles running in the tunnel within the time.
Disclosure of Invention
In order to solve the problems, the invention provides a method and a system for monitoring traffic flow in a tunnel, which can acquire vehicle information (license plate number, vehicle type, real-time position, driver and passenger number and the like) and vehicle number in the tunnel in real time and high precision by utilizing signal communication of a wireless access node and a mobile terminal in a vehicle without laying a ground induction coil, and can perform early judgment on traffic jam early warning and sudden accidents in the tunnel based on a real-time positioning technology.
According to some embodiments, a first aspect of the present invention provides a method for monitoring traffic flow in a tunnel, which adopts the following technical solutions:
a method for monitoring traffic flow in a tunnel comprises the following steps:
acquiring the wireless signal intensity of the same mobile terminal in vehicles at different positions by utilizing a plurality of first wireless access nodes which are pre-arranged in a tunnel, and establishing a mobile terminal tunnel position fingerprint database;
acquiring license plate information of a vehicle and an MAC (media access control) address of a mobile terminal in the vehicle, and establishing association between the license plate and the MAC address of the mobile terminal in the vehicle;
acquiring wireless signals of a plurality of mobile terminals in the vehicle in a tunnel in real time and preprocessing the wireless signals;
based on the preprocessed wireless signals of the mobile terminal, determining the position of the mobile terminal according to position fingerprints at different positions in a tunnel position fingerprint database of the mobile terminal by using a position fingerprint positioning algorithm;
determining the position of a vehicle based on the position of the mobile terminal to obtain real-time vehicle distribution information and vehicle speed in the tunnel;
and judging the occurrence of traffic jam and emergency in the tunnel according to the real-time vehicle distribution information and the vehicle speed in the tunnel.
Further, the mobile terminal tunnel position fingerprint database comprises fingerprint vectors at different positions in a plurality of tunnels;
the fingerprint vector at each position is formed by acquiring the wireless signal strength of the same mobile terminal in the vehicle at the current position by using a plurality of wireless access nodes.
Further, the acquiring license plate number information of the vehicle and the MAC address of the mobile terminal in the vehicle, and establishing association between the license plate number and the MAC address of the mobile terminal in the vehicle specifically include:
acquiring license plate information of a vehicle entering a tunnel in real time through license plate recognition equipment arranged at an entrance or a toll place of the tunnel;
acquiring the MAC address of the mobile terminal in the vehicle entering the tunnel in real time through a second wireless access node arranged at the entrance of the tunnel or a toll station;
establishing association between the license plate number and the MAC address of the mobile terminal in the vehicle;
and then determine the number of people in the vehicle and the type of vehicle.
Further, gather in real time in the tunnel wireless signal of mobile terminal in a plurality of vehicles, specifically be:
the mobile terminal broadcasts a request frame to a plurality of first wireless access nodes in the tunnel at intervals;
and after receiving the request frame, the first wireless access node records the time, the MAC address and the signal strength of the request frame.
Further, the wireless signal of the in-vehicle mobile terminal comprises the time of the mobile terminal broadcasting request frame, the MAC address and the signal strength.
Further, the wireless signals of the mobile terminals in the vehicles in the real-time collection tunnel are preprocessed, and the preprocessing comprises the following steps:
carrying out data cleaning on the wireless signals;
carrying out data standardization on the wireless signals after data cleaning;
and desensitizing the wireless signals after the data standardization to obtain preprocessed wireless signals.
Further, based on the preprocessed wireless signal of the mobile terminal, determining the position of the mobile terminal according to the position fingerprints at different positions in the tunnel position fingerprint database of the mobile terminal by using a position fingerprint positioning algorithm, specifically:
assuming that there are L wireless access nodes in the tunnel, RSSI (signal strength) samples are collected n times in total, and a training sample data set is represented as: i { (r)1,o1),(r2,o2),…,(ri,oi),…,(rn,on) Where the vector ri＝(ri1,ri2,…,riL) Represents the RSSI vector, r, from L wireless access nodesi1Is RSSI, r from the 1 st radio access nodei2For RSSI from the 2 nd radio access node, and so on, riLIs the RSSI from the lth radio access node; position vector oi＝(xi,yi) Is represented by riPosition coordinates corresponding to the vectors;
RSSI vector r of training sampleiAnd a position vector oiThe method comprises the steps that the method is known, and in the positioning stage, a position vector is calculated through a K neighbor method position fingerprint positioning algorithm;
firstly, calculating the similarity of the RSSI vector r of the target sample and all training samples, determining K training samples most similar to the r vector, and then weighting the coordinates of the K training samples to obtain the position coordinates of the target sample.
Further, the position of the vehicle is determined based on the position of the mobile terminal, and real-time vehicle distribution information and vehicle speed in the tunnel are obtained, specifically:
determining the position of a vehicle corresponding to a certain license plate number according to the association between the license plate number and the MAC address of the mobile terminal in the vehicle, and further obtaining the real-time vehicle distribution information of all vehicles in the tunnel;
and determining the position of the vehicle based on the position of the mobile terminal in the vehicle, and determining the speed of the vehicle according to the positions of the vehicle at different moments.
Further, the occurrence of traffic jam and emergency in the tunnel is judged according to the real-time vehicle distribution information and the vehicle speed in the tunnel, and the method specifically comprises the following steps:
when the speed of the vehicles in the tunnel is lower than a critical threshold value, an early warning signal is sent out to remind a manager that traffic jam possibly occurs in the tunnel;
and when the speed of the vehicle in the tunnel is sharply reduced and becomes 0, sending out an emergency early warning signal to remind a manager to judge whether an emergency happens or not.
According to some embodiments, a second aspect of the present invention provides a system for monitoring traffic flow in a tunnel, which adopts the following technical solutions:
a traffic monitoring system in a tunnel comprises a server, a monitoring terminal, a plurality of first wireless access nodes arranged in the tunnel, a second wireless access node at a tunnel entrance or a toll station and license plate identification equipment at the tunnel entrance or the toll station;
the server is used for acquiring data of the first wireless access node, the second wireless access node and the license plate recognition device and uploading the data to the monitoring terminal;
the first wireless access node is used for acquiring the MAC address and the wireless signal strength of the mobile terminal in the vehicle in the tunnel and uploading the MAC address and the wireless signal strength to the server;
the second wireless access node is used for acquiring the MAC address of the mobile terminal at the entrance of the tunnel or in the vehicle at the toll station and uploading the MAC address to the server;
the license plate recognition equipment is used for collecting license plate number information of vehicles at a tunnel entrance or a toll collection place.
Compared with the prior art, the invention has the beneficial effects that:
the invention is based on the positioning technology of 'smart phone (mobile terminal) + wireless' without wearing special equipment and downloading mobile phone software, can acquire the space-time position data of the wireless module smart phone which is started in the tunnel in real time in a large scale, not only conveniently and accurately monitor the vehicle distribution in the tunnel in real time, but also monitor the number and the distribution of drivers and passengers in the vehicle in the tunnel in real time. When the emergency accident of the vehicle is judged, the number of people in the accident vehicle and in the tunnel can be determined at the same time, and reference basis is provided for emergency rescue. The number of the vehicles passing through the tunnel in a certain time can be counted, and the number of the people taking the vehicles to pass through the tunnel can be counted. In addition, the prediction of the traffic flow and the number of the personnel in the tunnel is realized by mining the big data of the space-time positions of the tunnel vehicles and the drivers and the passengers, and a countermeasure is made in advance for predicting the people flow, so that a scientific reference basis is provided for tunnel workers to deal with the big traffic flow and the emergency situation.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
Fig. 1 is a flowchart of a method for monitoring traffic flow in a tunnel according to a first embodiment of the present invention;
fig. 2 is a schematic diagram of an intra-tunnel traffic monitoring system according to a second embodiment of the present invention;
fig. 3 is a schematic diagram of location fingerprint positioning according to a method for monitoring traffic flow in a tunnel according to a first embodiment of the present invention;
fig. 4 is a technical route schematic diagram of a method for monitoring traffic flow in a tunnel according to a first embodiment of the present invention.
Detailed Description
The invention is further described with reference to the following figures and examples.
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
The embodiments and features of the embodiments of the present invention may be combined with each other without conflict.
Example one
As shown in fig. 1 to 4, the present embodiment provides a method for monitoring traffic flow in a tunnel, which includes the following steps:
step S1: acquiring the wireless signal intensity of the same mobile terminal in vehicles at different positions by utilizing a plurality of first wireless access nodes which are pre-arranged in a tunnel, and establishing a mobile terminal tunnel position fingerprint database;
step S2: acquiring license plate number information of a vehicle and an MAC (media access control) address of a mobile terminal in the vehicle, and establishing association between the license plate number and the MAC address of the mobile terminal in the vehicle;
step S3: acquiring wireless signals of a plurality of mobile terminals in the vehicle in a tunnel in real time and preprocessing the wireless signals;
step S4: based on the preprocessed wireless signals of the mobile terminal, determining the position of the mobile terminal according to position fingerprints at different positions in a tunnel position fingerprint database of the mobile terminal by using a position fingerprint positioning algorithm;
step S5: determining the position of a vehicle based on the position of the mobile terminal to obtain real-time vehicle distribution information and vehicle speed in the tunnel;
step S6: and judging the occurrence of traffic jam and emergency in the tunnel according to the real-time vehicle distribution information and the vehicle speed in the tunnel.
In step S1, the mobile terminal tunnel location fingerprint database contains fingerprint vectors at different locations within a plurality of tunnels;
the fingerprint vector at each position is formed by acquiring the wireless signal strength of the same mobile terminal in the vehicle at the current position by using a plurality of wireless access nodes.
In step S2, the obtaining license plate information of the vehicle and the MAC address of the mobile terminal in the vehicle, and establishing the association between the license plate and the MAC address of the mobile terminal in the vehicle specifically include:
acquiring license plate information of a vehicle entering a tunnel in real time through license plate recognition equipment arranged at an entrance or a toll place of the tunnel;
acquiring the MAC address of the mobile terminal in the vehicle entering the tunnel in real time through a second wireless access node arranged at the entrance of the tunnel or a toll station;
establishing association between the license plate number and the MAC address of the mobile terminal in the vehicle;
and then determine the number of people in the vehicle and the type of vehicle.
In step S3, the method includes acquiring wireless signals of mobile terminals in multiple vehicles in a tunnel in real time, specifically:
the mobile terminal broadcasts a request frame to a plurality of first wireless access nodes in the tunnel at intervals;
and after receiving the request frame, the first wireless access node records the time, the MAC address and the signal strength of the request frame.
The wireless signal of the in-vehicle mobile terminal comprises the time of the mobile terminal broadcasting request frame, the MAC address and the signal strength.
Preprocessing the wireless signals of the mobile terminals in the vehicles in the real-time acquisition tunnel, comprising:
carrying out data cleaning on the wireless signals;
carrying out data standardization on the wireless signals subjected to data cleaning;
and desensitizing the wireless signals after the data standardization to obtain preprocessed wireless signals.
In step S4, based on the preprocessed wireless signal of the mobile terminal, determining the location of the mobile terminal according to location fingerprints at different locations in the tunnel location fingerprint database of the mobile terminal by using a location fingerprint positioning algorithm, specifically:
assuming that there are L wireless access nodes in the tunnel, RSSI (signal strength) samples are collected n times in total, and a training sample data set is represented as: i { (r)1,o1),(r2,o2),…,(ri,oi),…,(rn,on) Where the vector ri＝(ri1,ri2,…,riL) Represents the RSSI vector, r, from L wireless access nodesi1Is RSSI, r from the 1 st radio access nodei2For RSSI from the 2 nd radio access node, and so on, riLIs the RSSI from the lth radio access node; position vector oi＝(xi,yi) Is represented by riPosition coordinates corresponding to the vectors;
RSSI vector r of training samplesiAnd a position vector oiThe method comprises the steps that the method is known, and in the positioning stage, a position vector is calculated through a K neighbor method position fingerprint positioning algorithm;
firstly, calculating the similarity of the RSSI vector r of the target sample and all training samples, determining K training samples most similar to the r vector, and then weighting the coordinates of the K training samples to obtain the position coordinates of the target sample.
In step S5, the position of the vehicle is determined based on the position of the mobile terminal, and the real-time vehicle distribution information and the vehicle speed in the tunnel are obtained, specifically:
determining the position of a vehicle corresponding to a certain license plate number according to the association between the license plate number and the MAC address of the mobile terminal in the vehicle, and further obtaining the real-time vehicle distribution information of all vehicles in the tunnel;
and determining the position of the vehicle based on the position of the mobile terminal in the vehicle, and determining the speed of the vehicle according to the positions of the vehicle at different moments.
Specifically, the mobile terminal is carried by a person in the vehicle, and the position of the mobile terminal is the position of the vehicle.
By the MAC address of the mobile terminal, the track of the same terminal can be continuously tracked. The mobile terminal broadcasts a request frame to a plurality of first wireless access nodes in the tunnel at intervals, and after receiving the request frame, the first wireless access nodes record the time, MAC address and signal strength of the request frame so as to determine the real-time position of the vehicle, and determine the speed of the vehicle according to the positions of the vehicle at different moments.
In step S6, the occurrence of traffic jam and emergency in the tunnel is determined according to the real-time vehicle distribution information and the vehicle speed in the tunnel, specifically:
when the speed of the vehicle in the tunnel is lower than a critical threshold value, an early warning signal is sent out to remind a manager that traffic jam possibly occurs in the tunnel;
and when the speed of the vehicle in the tunnel is sharply reduced and becomes 0, sending out an emergency early warning signal to remind a manager to judge whether an emergency happens or not.
Example two
The embodiment provides a traffic monitoring system in a tunnel, which comprises a server, a monitoring terminal, a plurality of first wireless access nodes arranged in the tunnel, a second wireless access node at a tunnel entrance or a toll station and license plate identification equipment at the tunnel entrance or the toll station;
the server is used for acquiring data of the first wireless access node, the second wireless access node and the license plate recognition device and uploading the data to the monitoring terminal;
the first wireless access node is used for acquiring the MAC address and the wireless signal strength of the mobile terminal in the vehicle in the tunnel and uploading the MAC address and the wireless signal strength to the server;
the second wireless access node is used for acquiring the MAC address of the mobile terminal at the entrance of the tunnel or in the vehicle at the toll station and uploading the MAC address to the server;
the license plate recognition equipment is used for collecting license plate number information of vehicles at a tunnel entrance or a toll collection place.
And the second wireless access node acquires the association between the MAC address of the mobile terminal at the entrance and the license plate number.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts by those skilled in the art based on the technical solution of the present invention.

Claims (10)

1. A method for monitoring traffic flow in a tunnel is characterized by comprising the following steps:
acquiring the wireless signal intensity of the same mobile terminal in vehicles at different positions by utilizing a plurality of first wireless access nodes which are pre-arranged in a tunnel, and establishing a mobile terminal tunnel position fingerprint database;
acquiring license plate number information of a vehicle and an MAC (media access control) address of a mobile terminal in the vehicle, and establishing association between the license plate number and the MAC address of the mobile terminal in the vehicle;
acquiring wireless signals of a plurality of mobile terminals in the vehicle in a tunnel in real time and preprocessing the wireless signals;
based on the preprocessed wireless signals of the mobile terminal, determining the position of the mobile terminal according to position fingerprints at different positions in a tunnel position fingerprint database of the mobile terminal by using a position fingerprint positioning algorithm;
determining the position of a vehicle based on the position of the mobile terminal to obtain real-time vehicle distribution information and vehicle speed in the tunnel;
and judging the occurrence of traffic jam and emergency in the tunnel according to the real-time vehicle distribution information and the vehicle speed in the tunnel.
2. The method for monitoring traffic flow in a tunnel according to claim 1, wherein the fingerprint database of the tunnel location of the mobile terminal comprises fingerprint vectors at different locations in a plurality of tunnels;
the fingerprint vector at each position is formed by acquiring the wireless signal strength of the same mobile terminal in the vehicle at the current position by using a plurality of wireless access nodes.
3. The method for monitoring traffic flow in a tunnel according to claim 1, wherein the obtaining of license plate number information of the vehicle and MAC address of the mobile terminal in the vehicle, and the establishing of association between the license plate number and the MAC address of the mobile terminal in the vehicle are specifically:
acquiring license plate information of a vehicle entering a tunnel in real time through license plate recognition equipment arranged at a tunnel entrance or a toll collection;
acquiring the MAC address of the mobile terminal in the vehicle entering the tunnel in real time through a second wireless access node arranged at the entrance of the tunnel or a toll station;
establishing association between the license plate number and the MAC address of the mobile terminal in the vehicle;
and then determine the number of people in the vehicle and the type of vehicle.
4. The method for monitoring the traffic flow in the tunnel according to claim 1, wherein the wireless signals of the mobile terminals in a plurality of vehicles in the tunnel are collected in real time, and the method specifically comprises the following steps:
the mobile terminal broadcasts a request frame to a plurality of first wireless access nodes in the tunnel at intervals;
and after receiving the request frame, the first wireless access node records the time, the MAC address and the signal strength of the request frame.
5. The method according to claim 4, wherein the wireless signal of the mobile terminal in the vehicle comprises the time of the mobile terminal broadcasting the request frame, the MAC address and the signal strength.
6. The method according to claim 4, wherein the preprocessing of the wireless signals of the plurality of in-vehicle mobile terminals in the real-time acquisition tunnel comprises:
carrying out data cleaning on the wireless signals;
carrying out data standardization on the wireless signals subjected to data cleaning;
and desensitizing the wireless signals after the data standardization to obtain preprocessed wireless signals.
7. The method for monitoring traffic flow in a tunnel according to claim 1, wherein the location of the mobile terminal is determined according to location fingerprints at different locations in a tunnel location fingerprint database of the mobile terminal by using a location fingerprint positioning algorithm based on the preprocessed wireless signals of the mobile terminal, and specifically:
assuming that there are L wireless access nodes in the tunnel, RSSI (signal strength) samples are collected n times in total, and a training sample data set is represented as: i { (r)1,o1),(r2,o2),…,(ri,oi),…,(rn,on) Where the vector ri＝(ri1,ri2,…,riL) Represents the RSSI vector, r, from the L radio access nodesi1Is RSSI, r from the 1 st radio access nodei2For RSSI from the 2 nd radio access node, and so on, riLIs the RSSI from the lth radio access node; position vector oi＝(xi,yi) Is represented by riPosition coordinates corresponding to the vectors;
RSSI vector r of training samplesiAnd a position vector oiThe method comprises the steps that the method is known, and in the positioning stage, a position vector is calculated through a K neighbor method position fingerprint positioning algorithm;
firstly, calculating the similarity of the RSSI vector r of the target sample and all training samples, determining K training samples most similar to the r vector, and then weighting the coordinates of the training samples to obtain the position coordinates of the target sample.
8. The method for monitoring the traffic flow in the tunnel according to claim 1, wherein the position of the vehicle is determined based on the position of the mobile terminal, and real-time vehicle distribution information and vehicle speed in the tunnel are obtained, specifically:
determining the position of a vehicle corresponding to a certain license plate number according to the association between the license plate number and the MAC address of the mobile terminal in the vehicle, and further obtaining the real-time vehicle distribution information of all vehicles in the tunnel;
and determining the position of the vehicle based on the position of the mobile terminal in the vehicle, and determining the speed of the vehicle according to the positions of the vehicle at different moments.
9. The method for monitoring traffic flow in a tunnel according to claim 1, wherein the occurrence of traffic jam and emergency in the tunnel is determined according to real-time vehicle distribution information and vehicle speed in the tunnel, and specifically comprises:
when the speed of the vehicle in the tunnel is lower than a critical threshold value, an early warning signal is sent out to remind a manager that traffic jam possibly occurs in the tunnel;
and when the speed of the vehicle in the tunnel is sharply reduced and becomes 0, sending out an emergency early warning signal to remind a manager to judge whether an emergency happens or not.
10. A traffic monitoring system in a tunnel is characterized by comprising a server, a monitoring terminal, a plurality of first wireless access nodes arranged in the tunnel, a second wireless access node at a tunnel entrance or a toll station and license plate identification equipment at the tunnel entrance or the toll station;
the server is used for acquiring data of the first wireless access node, the second wireless access node and the license plate recognition device and uploading the data to the monitoring terminal;
the first wireless access node is used for acquiring the MAC address and the wireless signal strength of the mobile terminal in the vehicle in the tunnel and uploading the MAC address and the wireless signal strength to the server;
the second wireless access node is used for acquiring the MAC address of the mobile terminal at the entrance of the tunnel or in the vehicle at the toll station and uploading the MAC address to the server;
the license plate recognition equipment is used for collecting license plate number information of vehicles at a tunnel entrance or a toll collection place.
CN202210530235.6A 2022-05-16 2022-05-16 Method and system for monitoring traffic flow in tunnel Pending CN114743378A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210530235.6A CN114743378A (en) 2022-05-16 2022-05-16 Method and system for monitoring traffic flow in tunnel

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210530235.6A CN114743378A (en) 2022-05-16 2022-05-16 Method and system for monitoring traffic flow in tunnel

Publications (1)

Publication Number Publication Date
CN114743378A true CN114743378A (en) 2022-07-12

Family

ID=82285990

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210530235.6A Pending CN114743378A (en) 2022-05-16 2022-05-16 Method and system for monitoring traffic flow in tunnel

Country Status (1)

Country Link
CN (1) CN114743378A (en)

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102791025A (en) * 2011-05-20 2012-11-21 盛乐信息技术（上海）有限公司 Wireless fidelity (WIFI) based layered positioning system and implementing method
CN102883262A (en) * 2012-09-17 2013-01-16 北京大学 Wi-Fi indoor positioning method on basis of fingerprint matching
CN103702338A (en) * 2013-12-24 2014-04-02 山东润谱通信工程有限公司 Method for rapidly establishing indoor wireless signal fingerprint database
CN106199510A (en) * 2014-12-04 2016-12-07 现代摩比斯株式会社 Database building method and recognition positioning method thereof for fingerprint recognition location
CN107071708A (en) * 2017-03-31 2017-08-18 湖南农业大学 Intelligent mobile terminal passive wireless signal acquisition and localization method
CN108242157A (en) * 2018-01-31 2018-07-03 福建工程学院 A kind of monitoring method and terminal of tunnel vehicle flowrate
CN109413578A (en) * 2018-11-02 2019-03-01 桂林电子科技大学 A kind of indoor orientation method merged based on WIFI with PDR
CN110191508A (en) * 2019-05-31 2019-08-30 北京众行智能科技有限公司 Localization method and positioning mobile terminal in mine tunnel based on existing wireless networking
CN113965901A (en) * 2021-10-22 2022-01-21 山东高速股份有限公司 Expressway tunnel personnel monitoring method based on wireless probe
CN114007190A (en) * 2020-07-28 2022-02-01 阿里巴巴集团控股有限公司 Positioning method, positioning device, electronic equipment and computer storage medium
CN216110866U (en) * 2021-05-08 2022-03-22 华南理工大学 Tunnel vehicle accident detection and early warning device based on RSSI

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102791025A (en) * 2011-05-20 2012-11-21 盛乐信息技术（上海）有限公司 Wireless fidelity (WIFI) based layered positioning system and implementing method
CN102883262A (en) * 2012-09-17 2013-01-16 北京大学 Wi-Fi indoor positioning method on basis of fingerprint matching
CN103702338A (en) * 2013-12-24 2014-04-02 山东润谱通信工程有限公司 Method for rapidly establishing indoor wireless signal fingerprint database
CN106199510A (en) * 2014-12-04 2016-12-07 现代摩比斯株式会社 Database building method and recognition positioning method thereof for fingerprint recognition location
CN107071708A (en) * 2017-03-31 2017-08-18 湖南农业大学 Intelligent mobile terminal passive wireless signal acquisition and localization method
CN108242157A (en) * 2018-01-31 2018-07-03 福建工程学院 A kind of monitoring method and terminal of tunnel vehicle flowrate
CN109413578A (en) * 2018-11-02 2019-03-01 桂林电子科技大学 A kind of indoor orientation method merged based on WIFI with PDR
CN110191508A (en) * 2019-05-31 2019-08-30 北京众行智能科技有限公司 Localization method and positioning mobile terminal in mine tunnel based on existing wireless networking
CN114007190A (en) * 2020-07-28 2022-02-01 阿里巴巴集团控股有限公司 Positioning method, positioning device, electronic equipment and computer storage medium
CN216110866U (en) * 2021-05-08 2022-03-22 华南理工大学 Tunnel vehicle accident detection and early warning device based on RSSI
CN113965901A (en) * 2021-10-22 2022-01-21 山东高速股份有限公司 Expressway tunnel personnel monitoring method based on wireless probe

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
田家英等: "基于近邻法的WIFI室内定位改进算法研究", 《测绘工程》, pages 1 - 6 *

Similar Documents

Publication Publication Date Title
CN107463940B (en) Vehicle type identification method and device based on mobile phone data
CN107888877B (en) Method and system for vehicle tracking and road traffic information acquisition
CN104851295B (en) Obtain the method and system of traffic information
CN103500503B (en) A kind of accurate road condition analyzing method and system based on mass-rent pattern
CN103366560B (en) A kind of road traffic running status is with car detection method, system and application
CN111833598B (en) Automatic traffic incident monitoring method and system for unmanned aerial vehicle on highway
CN102622798A (en) Passenger flow statistical analysis system
CN109637137A (en) Traffic control system based on bus or train route collaboration
CN114387785A (en) Safety management and control method and system based on intelligent highway and storable medium
CN110838230B (en) Mobile video monitoring method, monitoring center and system
JP2007206785A (en) Vehicle tracking system, and image processing unit, central unit and onboard unit for use in the same, and vehicle tracking method
JP3502156B2 (en) Traffic monitoring system
CN112907955A (en) Evaluation method of vehicle-road cooperative system based on information fusion
CN110853360A (en) Vehicle positioning system and method
CN112509316B (en) Vehicle overmaning analysis system based on vehicle terminal information matching
CN109887310A (en) A kind of retrograde determination method of the vehicle based on active RFID
CN114038068A (en) Video inspection system
CN114743378A (en) Method and system for monitoring traffic flow in tunnel
CN117274303A (en) Intelligent tracking method and system for vehicle track
CN115757628A (en) Vehicle collision detection method, device, equipment and medium
CN109685010B (en) Highway slope protection network vulnerability position positioning method and system
CN113870574A (en) System and method for automatically detecting passenger car illegal passenger carrying early warning
CN113436458A (en) Intelligent bus dispatching method
CN114333392A (en) Roadside parking monitoring and early warning method and system based on RFID
CN111627226A (en) Vehicle reverse running monitoring network, method, device, medium and electronic equipment

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination