CN114283615A - Passenger flow early warning system and method based on traffic flows of multiple parking lots in scenic spot - Google Patents

Passenger flow early warning system and method based on traffic flows of multiple parking lots in scenic spot Download PDF

Info

Publication number
CN114283615A
CN114283615A CN202111596007.0A CN202111596007A CN114283615A CN 114283615 A CN114283615 A CN 114283615A CN 202111596007 A CN202111596007 A CN 202111596007A CN 114283615 A CN114283615 A CN 114283615A
Authority
CN
China
Prior art keywords
data
early warning
scenic spot
traffic
module
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
CN202111596007.0A
Other languages
Chinese (zh)
Inventor
付萍
陈海江
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.)
Zhejiang Lishi Technology Co Ltd
Original Assignee
Zhejiang Lishi Technology Co Ltd
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 Zhejiang Lishi Technology Co Ltd filed Critical Zhejiang Lishi Technology Co Ltd
Priority to CN202111596007.0A priority Critical patent/CN114283615A/en
Publication of CN114283615A publication Critical patent/CN114283615A/en
Pending legal-status Critical Current

Links

Images

Landscapes

  • Traffic Control Systems (AREA)

Abstract

The invention relates to the technical field of tourism, in particular to a passenger flow early warning system and a passenger flow early warning method based on traffic flow of a plurality of parking lots in a scenic spot. The scenic spot traffic monitoring and management system provided by the invention is constructed around the key scenic spot traffic monitoring and management, and a complete scenic spot large-area traffic jam early warning and supervision system, a parking jam early warning and supervision system, a passenger flow density early warning and supervision system and a scenic spot traffic trip information service system are constructed, so that the core technology in the aspects of pedestrian and vehicle gathering and traffic comprehensive operation stability evaluation and analysis in the key scenic spot is broken through, and the technical support is provided for effectively improving the road traffic management capability and service level of the key scenic spot.

Description

Passenger flow early warning system and method based on traffic flows of multiple parking lots in scenic spot
Technical Field
The invention relates to the technical field of tourism, in particular to a passenger flow early warning system and method based on traffic flows of a plurality of parking lots in a scenic spot.
Background
The flow of tourists in key scenic spots is increased sharply in holidays and peak periods, parking lots around the scenic spots are mainly open or roadside, the parking lots are mainly managed manually, and the flow of people in vacant parking places and nearby key scenic spots cannot be effectively monitored.
The passenger flow of the existing key scenic spot mainly depends on maps such as high-grade maps, Baidu maps, Tencent maps and the like, detection means are few, data do not flow back, long-term and lasting data are lacked, and a uniform information publishing channel is not available, so that tourists cannot clearly obtain the situation where the scenic spot is blocked, and continuous scenic spot blocking and road condition blocking are caused due to the fact that vacant parking spaces exist in parking lots around the scenic spot.
For a traffic management department, due to the lack of data support, the congestion condition can be determined only by experience to carry out road scheduling command, meanwhile, the traffic volume cannot be predicted in advance in scenic spots, and no way is provided for customizing flow limiting measures in advance.
Therefore, the data acquisition system for the traffic flow and the tourist flow of the parking lot in the key scenic spot is built, the data sensing terminal for the existing traffic situation is added, the information of the parking lot and the road condition is acquired more accurately, the tourist flow is monitored more conveniently, and the scenic spot and the tourist supervision department are helped to accurately grasp the social security and the traffic situation in the area.
Disclosure of Invention
Aiming at the defects of the prior art, the invention discloses a passenger flow early warning system and method based on traffic flow of a plurality of parking lots in a scenic spot, which are used for solving the problems.
The invention is realized by the following technical scheme:
in a first aspect, the invention provides a passenger flow early warning system based on traffic flow of a plurality of parking lots in a scenic spot, which comprises
The data interface part is used for acquiring road video data and parking lot video data acquired by the video monitoring equipment and acquiring card port data of each road in a scenic spot;
the early warning part is used for early warning of road congestion in scenic spots, early warning of berths in scenic spots and early warning of passenger flow density;
the detection part is used for detecting traffic density data, people stream density data and peripheral berth data in the scenic spot;
the data publishing and uploading part is used for publishing the data provided by the early warning part and the detection part and uploading the obtained real-time road condition information to the traffic management department;
and the route planning guiding part is used for providing real-time route planning according to the traffic density and the people flow density data provided by the detection part and guiding the detained vehicles in the scenic spot to go to the parking lot with the vacant space according to the peripheral parking position data provided by the detection part.
Furthermore, the data interface part comprises a video data interface and a bayonet data interface, and the video data interface is accessed to video monitoring equipment installed on each road and parking lot in a scenic spot; and the bayonet data interface is connected into a high-definition bayonet system installed at each road intersection in the scenic spot.
Furthermore, the video data interface is used for acquiring road video data and parking lot video data acquired by the video monitoring equipment; the gate data interface is used for acquiring gate data of each road in the scenic spot.
Furthermore, the early warning part comprises a congestion early warning module, a congestion early warning module and a passenger flow early warning module.
Furthermore, the congestion early warning module carries out statistics and calculation on the traffic flow at the gate according to the gate data of each road in the scenic spot, analyzes the proportion of vehicles entering the scenic spot, obtains the data of detained vehicles in the scenic spot and carries out early warning on the congestion of the roads in the scenic spot in advance;
the berth early warning module compares the berth situation of the parking lot acquired by the berth detection module with the detained vehicle data acquired by the congestion early warning module, calculates the remaining parking spaces of the parking lot in the scenic spot and early warns the berth in the scenic spot in advance;
the passenger flow early warning module carries out probability analysis and verification by using historical passenger flow data of scenic spots and real-time data provided by the passenger flow density detection module, calculates the passenger flow density at the entrance of the scenic spots and carries out passenger flow density early warning in advance.
Furthermore, the detection part comprises a peripheral berth detection module, a traffic density detection module and a stream density detection module.
Furthermore, the peripheral parking lot detection module analyzes the parking lot video data based on a video detection technology, and realizes the detection of the parking lot parking situations in a set area under a monitoring scene through machine learning, feature extraction and mode identification modes to obtain the parking lot parking situations in the scenic spot; therefore, the automatic detection of the berth occupation in different scenes and different environments is realized;
the traffic density detection module performs multidimensional and multi-depth information detection and analysis facing traffic flow according to the checkpoint data of each road in the scenic spot acquired by the checkpoint data interface, and intelligently analyzes the passing number of vehicles, the license plate number, the vehicle speed and other characteristics of the vehicles in the scenic spot by using a video detection technology;
the people stream density detection module identifies real-time population statistics, density estimation and dynamic people stream abnormal feature analysis of the scenic spot under multiple scenes by adopting a deep learning algorithm based on a video detection technology.
Further, the data publishing and uploading part comprises
The data issuing module issues scenic spot road congestion early warning of the congestion early warning module, scenic spot berth early warning of the berth early warning module, passenger flow density early warning of the passenger flow early warning module and data provided by the traffic density detection module and the passenger flow density detection module in real time through a short message, an induction screen, a mobile phone app and a website issuing tool;
and the data uploading module feeds back the real-time road condition information to the traffic management department.
Further, the route planning guidance section includes
The route planning module is used for providing real-time route planning for each scenic spot in the scenic spot according to the data provided by the traffic density detection module and the people flow density detection module, and guiding tourists to avoid areas with road congestion and dense crowds;
and the parking guide module is used for guiding the vehicles staying in the scenic spot to go to the parking lot with the vacant space according to the data provided by the parking position detection module.
In a second aspect, the present invention provides a passenger flow early warning method based on traffic flows of a plurality of parking lots in a scenic spot, where the method uses the passenger flow early warning system based on traffic flows of a plurality of parking lots in a scenic spot according to the first aspect, and includes the following steps:
s1, acquiring road video data and parking lot video data acquired by video monitoring equipment and gate data of each road in a scenic spot;
s2, detecting traffic density data, stream density data and peripheral parking position data in the scenic spot in real time, and performing data interaction;
s3, carrying out scenic spot road congestion early warning, early warning of scenic spot berths and early warning of passenger flow density according to the detection data and the data acquired in S1;
s4, outputting a real-time route plan after analyzing the detection data, and guiding the vehicles staying in the scenic spot to go to a parking lot with a vacant space;
s5, releasing the relevant data in the above steps, and uploading the real-time traffic information to the traffic management department.
The invention has the beneficial effects that:
the scenic spot traffic monitoring and management system provided by the invention is constructed around the key scenic spot traffic monitoring and management, and a complete scenic spot large-area traffic jam early warning and supervision system, a parking jam early warning and supervision system, a passenger flow density early warning and supervision system and a scenic spot traffic trip information service system are constructed, so that the core technology in the aspects of pedestrian and vehicle gathering and traffic comprehensive operation stability evaluation and analysis in the key scenic spot is broken through, and the technical support is provided for effectively improving the road traffic management capability and service level of the key scenic spot.
The invention can be widely applied to daily monitoring and risk early warning work of important tourist scenic spots of all levels of tourism, can also provide core capabilities such as important movable traffic control, traffic hubs and traffic risk assessment of important areas for urban traffic management, and has practical application requirements and wide application prospects.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a block diagram of a passenger flow early warning system based on traffic volumes of a plurality of parking lots in a scenic spot;
fig. 2 is a step diagram of a passenger flow early warning method based on traffic volumes of a plurality of parking lots in a scenic spot.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
The embodiment provides a passenger flow early warning system based on a plurality of parking area traffic volumes in scenic spot, includes
The data interface part is used for acquiring road video data and parking lot video data acquired by the video monitoring equipment and acquiring card port data of each road in a scenic spot;
the early warning part is used for early warning of road congestion in scenic spots, early warning of berths in scenic spots and early warning of passenger flow density;
the detection part is used for detecting traffic density data, people stream density data and peripheral berth data in the scenic spot;
the data publishing and uploading part is used for publishing the data provided by the early warning part and the detection part and uploading the obtained real-time road condition information to the traffic management department;
and the route planning guiding part is used for providing real-time route planning according to the traffic density and the people flow density data provided by the detection part and guiding the detained vehicles in the scenic spot to go to the parking lot with the vacant space according to the peripheral parking position data provided by the detection part.
This embodiment is through the data acquisition system who constructs the parking area traffic stream of key scenic spot, visitor's flow, increases the data perception terminal of current traffic conditions, and more accurate acquires parking area and road conditions information, and the more convenient monitoring visitor's flow helps scenic spot and tourism supervisory authority accurate social security and the traffic situation in holding the region.
Example 2
On the basis of embodiment 1, this embodiment further provides a scenic spot traffic-based multi-parking-lot monitoring passenger flow management system, which is shown in fig. 1 and includes a video data interface, a bayonet data interface, a congestion early warning module, a berth detection module, a berth early warning module, a traffic density detection module, a passenger flow early warning module, a data distribution module, a route planning module, a parking guidance module, and a data upload module.
The video data interface of the embodiment is accessed to the video monitoring equipment installed on each road and in the parking lot in the scenic spot, and acquires the road video data and the parking lot video data acquired by the video monitoring equipment.
The data interface of the card port of the embodiment is accessed into a high-definition card port system installed at each road intersection of a scenic spot to acquire card port data of each road of the scenic spot.
The congestion early warning module carries out statistics and calculation of the traffic flow of the gates according to the gate data of each road in the scenic spot, analyzes the proportion of vehicles entering the scenic spot, obtains data of vehicles staying in the scenic spot, and carries out early warning on the congestion of the roads in the scenic spot in advance.
The peripheral berth detection module analyzes parking lot video data based on a video detection technology, and achieves berth condition detection in a set area under a monitoring scene through modes of machine learning, feature extraction, pattern recognition and the like, so that the berth condition of the parking lot in a scenic spot is obtained.
The peripheral berthage detection module of the embodiment adopts a single high-point video monitoring camera and a deep learning technology, realizes the berthage state information of the ROI in a video monitoring range at the minimum cost, and realizes the automatic detection function of berthage occupation in different scenes and different environments.
The parking space early warning module of the embodiment compares the parking space situation of the parking lot obtained by the parking space detection module with the detained vehicle data obtained by the congestion early warning module, calculates the remaining parking spaces of the parking lot in the scenic spot, and issues the remaining parking spaces to a traffic management department to early warn the parking space in the scenic spot in advance.
The traffic density detection module of the embodiment performs multidimensional and multi-depth information detection and analysis for traffic flow according to the checkpoint data of each road in the scenic spot acquired by the checkpoint data interface, and intelligently analyzes the passing number of vehicles, the license plate number, the vehicle speed and other characteristics of the vehicles in the scenic spot by using a video detection technology.
The people stream density detection module in the embodiment is based on a video detection technology, and adopts a deep learning algorithm to identify real-time crowd statistics, density estimation and dynamic people stream abnormal feature analysis in scenic spots under multiple scenes.
The passenger flow early warning module performs probability analysis and verification by using historical passenger flow data of scenic spots and real-time data provided by the passenger flow density detection module, calculates the passenger flow density at the entrance of the scenic spots, and performs passenger flow density early warning in advance.
Preferably, the passenger flow early warning module is started to control the flow by measures such as early warning release, traffic regulation and control, entrance regulation and control and the like so as to adapt to the social security management problem of multi-scene crowd gathering.
The data issuing module issues scenic spot road congestion early warning of the congestion early warning module, scenic spot berth early warning of the berthing early warning module, passenger flow density early warning of the passenger flow early warning module, and data provided by the traffic density detection module and the passenger flow density detection module in real time through issuing tools such as short messages, an induction screen, mobile phone apps and websites.
The route planning module of the embodiment provides real-time route planning for each scenic spot in the scenic spot according to the data provided by the traffic density detection module and the people flow density detection module, guides tourists to avoid areas with road congestion and dense crowds, and relieves traffic pressure and passenger flow pressure in the scenic spot.
The parking guide module guides the vehicles staying in the scenic spot to go to the parking lot with the vacant space according to the data provided by the parking position detection module, and parking pressure and parking lot congestion in the scenic spot are relieved.
The data uploading module of the embodiment feeds back the acquired real-time road condition information to the traffic management department in time, and provides a traffic dispersion and command data basis for the traffic management department.
Example 3
In other aspects, referring to fig. 2, the embodiment provides a passenger flow early warning method based on traffic flows of a plurality of parking lots in a scenic spot, including the following steps:
s1, acquiring road video data and parking lot video data acquired by video monitoring equipment and gate data of each road in a scenic spot;
s2, detecting traffic density data, stream density data and peripheral parking position data in the scenic spot in real time, and performing data interaction;
s3, carrying out scenic spot road congestion early warning, early warning of scenic spot berths and early warning of passenger flow density according to the detection data and the data acquired in S1;
s4, outputting a real-time route plan after analyzing the detection data, and guiding the vehicles staying in the scenic spot to go to a parking lot with a vacant space;
s5, releasing the relevant data in the above steps, and uploading the real-time traffic information to the traffic management department.
In conclusion, the scenic spot traffic monitoring and management system provided by the invention constructs a complete scenic spot large-area traffic jam early warning and supervision, parking jam early warning and supervision, passenger flow density early warning and supervision and scenic spot traffic trip information service system around the key scenic spot traffic monitoring and management construction, breaks through the core technology in the aspects of pedestrian and vehicle gathering and traffic comprehensive operation stability evaluation and analysis in the key scenic spot, and provides technical support for effectively improving the road traffic management capability and service level of the key scenic spot.
The invention can be widely applied to daily monitoring and risk early warning work of important tourist scenic spots of all levels of tourism, can also provide core capabilities such as important movable traffic control, traffic hubs and traffic risk assessment of important areas for urban traffic management, and has practical application requirements and wide application prospects.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. A passenger flow early warning system based on traffic flow of a plurality of parking lots in scenic spots is characterized by comprising
The data interface part is used for acquiring road video data and parking lot video data acquired by the video monitoring equipment and acquiring card port data of each road in a scenic spot;
the early warning part is used for early warning of road congestion in scenic spots, early warning of berths in scenic spots and early warning of passenger flow density;
the detection part is used for detecting traffic density data, people stream density data and peripheral berth data in the scenic spot;
the data publishing and uploading part is used for publishing the data provided by the early warning part and the detection part and uploading the obtained real-time road condition information to the traffic management department;
and the route planning guiding part is used for providing real-time route planning according to the traffic density and the people flow density data provided by the detection part and guiding the detained vehicles in the scenic spot to go to the parking lot with the vacant space according to the peripheral parking position data provided by the detection part.
2. The system of claim 1, wherein the data interface comprises a video data interface and a card port data interface, and the video data interface is connected to video monitoring equipment installed on each road and in each parking lot in the scenic spot; and the bayonet data interface is connected into a high-definition bayonet system installed at each road intersection in the scenic spot.
3. The system of claim 2, wherein the video data interface is configured to obtain road video data and parking lot video data collected by a video monitoring device; the gate data interface is used for acquiring gate data of each road in the scenic spot.
4. The system as claimed in claim 1, wherein the early warning part comprises a congestion early warning module, a congestion early warning module and a passenger flow early warning module.
5. The system of claim 4, wherein the traffic early warning module is configured to perform statistics and calculation of traffic flow at a gate according to gate data of each road in the scenic region, analyze a proportion of vehicles entering the scenic region, obtain data of vehicles staying in the scenic region, and perform early warning of road congestion in the scenic region in advance;
the berth early warning module compares the berth situation of the parking lot acquired by the berth detection module with the detained vehicle data acquired by the congestion early warning module, calculates the remaining parking spaces of the parking lot in the scenic spot and early warns the berth in the scenic spot in advance;
the passenger flow early warning module carries out probability analysis and verification by using historical passenger flow data of scenic spots and real-time data provided by the passenger flow density detection module, calculates the passenger flow density at the entrance of the scenic spots and carries out passenger flow density early warning in advance.
6. The system of claim 1, wherein the detection part comprises a peripheral berth detection module, a traffic density detection module and a people flow density detection module.
7. The system of claim 6, wherein the peripheral berth detection module analyzes video data of the parking lot based on a video detection technology, and realizes detection of berthing conditions in a set area in a monitoring scene through machine learning, feature extraction and mode identification modes to obtain the berthing conditions of the parking lot in the scenic spot; therefore, the automatic detection of the berth occupation in different scenes and different environments is realized;
the traffic density detection module performs multidimensional and multi-depth information detection and analysis facing traffic flow according to the checkpoint data of each road in the scenic spot acquired by the checkpoint data interface, and intelligently analyzes the passing number of vehicles, the license plate number, the vehicle speed and other characteristics of the vehicles in the scenic spot by using a video detection technology;
the people stream density detection module identifies real-time population statistics, density estimation and dynamic people stream abnormal feature analysis of the scenic spot under multiple scenes by adopting a deep learning algorithm based on a video detection technology.
8. The system of claim 1, wherein the data distribution and upload part comprises a data distribution and upload module
The data issuing module issues scenic spot road congestion early warning of the congestion early warning module, scenic spot berth early warning of the berth early warning module, passenger flow density early warning of the passenger flow early warning module and data provided by the traffic density detection module and the passenger flow density detection module in real time through a short message, an induction screen, a mobile phone app and a website issuing tool;
and the data uploading module feeds back the real-time road condition information to the traffic management department.
9. The system of claim 1, wherein the route planning guidance part comprises a guidance system for guiding the passenger flow of the parking lot
The route planning module is used for providing real-time route planning for each scenic spot in the scenic spot according to the data provided by the traffic density detection module and the people flow density detection module, and guiding tourists to avoid areas with road congestion and dense crowds;
and the parking guide module is used for guiding the vehicles staying in the scenic spot to go to the parking lot with the vacant space according to the data provided by the parking position detection module.
10. A passenger flow early warning method based on traffic flow of a plurality of parking lots in a scenic spot, which uses the passenger flow early warning system based on traffic flow of a plurality of parking lots in a scenic spot according to any one of claims 1 to 9, comprising the steps of:
s1, acquiring road video data and parking lot video data acquired by video monitoring equipment and gate data of each road in a scenic spot;
s2, detecting traffic density data, stream density data and peripheral parking position data in the scenic spot in real time, and performing data interaction;
s3, carrying out scenic spot road congestion early warning, early warning of scenic spot berths and early warning of passenger flow density according to the detection data and the data acquired in S1;
s4, outputting a real-time route plan after analyzing the detection data, and guiding the vehicles staying in the scenic spot to go to a parking lot with a vacant space;
s5, releasing the relevant data in the above steps, and uploading the real-time traffic information to the traffic management department.
CN202111596007.0A 2021-12-24 2021-12-24 Passenger flow early warning system and method based on traffic flows of multiple parking lots in scenic spot Pending CN114283615A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111596007.0A CN114283615A (en) 2021-12-24 2021-12-24 Passenger flow early warning system and method based on traffic flows of multiple parking lots in scenic spot

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111596007.0A CN114283615A (en) 2021-12-24 2021-12-24 Passenger flow early warning system and method based on traffic flows of multiple parking lots in scenic spot

Publications (1)

Publication Number Publication Date
CN114283615A true CN114283615A (en) 2022-04-05

Family

ID=80874685

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111596007.0A Pending CN114283615A (en) 2021-12-24 2021-12-24 Passenger flow early warning system and method based on traffic flows of multiple parking lots in scenic spot

Country Status (1)

Country Link
CN (1) CN114283615A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116403360A (en) * 2023-06-06 2023-07-07 天一智能科技(东莞)有限公司 Multifunctional intelligent rod control method and system with early warning function

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105825350A (en) * 2016-04-22 2016-08-03 浙江浩腾电子科技股份有限公司 Video analysis-based intelligent tourism early warning decision-making system and use method thereof
CN107730427A (en) * 2017-10-09 2018-02-23 安徽畅通行交通信息服务有限公司 A kind of scenic spot Traffic monitoring management system
CN109272153A (en) * 2018-09-10 2019-01-25 合肥巨清信息科技有限公司 A kind of tourist attraction stream of people early warning system
CN109801474A (en) * 2019-02-22 2019-05-24 北京启安智慧科技有限公司 A kind of the Regional Risk analysis method and system of urban safety

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105825350A (en) * 2016-04-22 2016-08-03 浙江浩腾电子科技股份有限公司 Video analysis-based intelligent tourism early warning decision-making system and use method thereof
CN107730427A (en) * 2017-10-09 2018-02-23 安徽畅通行交通信息服务有限公司 A kind of scenic spot Traffic monitoring management system
CN109272153A (en) * 2018-09-10 2019-01-25 合肥巨清信息科技有限公司 A kind of tourist attraction stream of people early warning system
CN109801474A (en) * 2019-02-22 2019-05-24 北京启安智慧科技有限公司 A kind of the Regional Risk analysis method and system of urban safety

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116403360A (en) * 2023-06-06 2023-07-07 天一智能科技(东莞)有限公司 Multifunctional intelligent rod control method and system with early warning function

Similar Documents

Publication Publication Date Title
CN110164130B (en) Traffic incident detection method, device, equipment and storage medium
Yoon et al. Surface street traffic estimation
CN106991824B (en) Toll station vehicle queuing prediction method
CN108346288B (en) Road section operation state early warning method and device and electronic equipment
CN107067730B (en) Network appointment vehicle-man-vehicle inconsistency monitoring method based on bayonet equipment
CN107545757B (en) Urban road flow velocity measuring device and method based on license plate recognition
CN105427610A (en) Traffic management method based on vehicle-to-infrastructure integration technology
CN105825350A (en) Video analysis-based intelligent tourism early warning decision-making system and use method thereof
CN109979197B (en) Method and system for constructing highway traffic time map based on fusion data
CN110992712A (en) Traffic signal lamp light control system based on cloud computing
CN110766936A (en) Traffic running state sensing method and system based on multi-source data fusion
CN109493606B (en) Method and system for identifying illegal parking vehicles on expressway
CN108629982B (en) Road section vehicle number estimation method based on travel time distribution rule
CN112988830A (en) People flow statistical method, device, system, storage medium and computer equipment
CN112381014A (en) Illegal parking vehicle detection and management method and system based on urban road
CN112749630A (en) Intelligent video monitoring method and system for road conditions
KR100991520B1 (en) Method and system of warning about intersection entering at signalized intersection
CN114387785A (en) Safety management and control method and system based on intelligent highway and storable medium
CN114283615A (en) Passenger flow early warning system and method based on traffic flows of multiple parking lots in scenic spot
CN110276951B (en) Traffic jam early warning method based on mobile internet
Oskarbski et al. Automatic incident detection at intersections with use of telematics
CN111127882A (en) Tourist attraction parking lot coming vehicle number prediction method based on big data
KR102309106B1 (en) Situation linkage type image analysis device
CN114360264A (en) Intelligent city traffic management method based on traffic flow regulation
CN113380055A (en) Road networking system based on communication technology of Internet of things

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
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20220405