TWM325576U - Measurement and management system of vehicle average speed and flow based on RFID technology - Google Patents

Measurement and management system of vehicle average speed and flow based on RFID technology Download PDF

Info

Publication number
TWM325576U
TWM325576U TW96201342U TW96201342U TWM325576U TW M325576 U TWM325576 U TW M325576U TW 96201342 U TW96201342 U TW 96201342U TW 96201342 U TW96201342 U TW 96201342U TW M325576 U TWM325576 U TW M325576U
Authority
TW
Taiwan
Prior art keywords
speed
flow
server
traffic
car
Prior art date
Application number
TW96201342U
Other languages
Chinese (zh)
Inventor
Wu Wen
Original Assignee
Wu Wen
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 Wu Wen filed Critical Wu Wen
Priority to TW96201342U priority Critical patent/TWM325576U/en
Publication of TWM325576U publication Critical patent/TWM325576U/en

Links

Landscapes

  • Traffic Control Systems (AREA)

Abstract

The measurement and management system of vehicle average speed and flow are very important for solving traffic problems in a modern city. The system consists of radio frequency identification (RFID), wireless networks, relational databases, electronic map technologies. By connecting a RFID reader and using a tag pasted on a car, a computer can detect car speed and flow. After calculating average car speed and flow, the information is saved in a database in a high speed server in a district center. Each high speed server only collects traffic messages such as car speed and flow in the district. Using networking programs, each high speed server can get all other traffic data in other districts through a flooding algorithm. Before a computer in a car calculates the shortest path from source to destination, it needs to connect a high speed server in a district center and download all congestion data in the city. Then, the computer uses a dynamic shortest path algohrithm to compute the shortest path which can avoid all congestion roads in the city.

Description

• M325576 七、指定代表圖: (一) 本案指定代表圖為··第(1 )圖。 (二) 本代表圖之元件符號簡單說明: 1·標籤TAG黏貼汽車擋風玻璃上 2. 偵測器 3, 無線射頻識別讀卡機(RFID READER) 4·計算控制傳輸器 5·交通行控中心高速伺服器 6.傳輸裝置 八、新型說明: 【新型所屬之技術領域】 本系統主要技術領域係整合無線射頻識別、網路通訊(有線、無線)網路、 電子地圖、以及關連資料庫等技術,俾利蒐集、計算、彙整都市各道路平均車速 與流量。 【先前技術】 都市交通擁塞問題一直困擾著世界各國,長期以來,各種相關研究,包含建置大I 運輸工具、交通流速與流量監控、最短路徑導航、限制汽車交通工具數量…等,均持續 深入探討研究。而現階段大多數研究者,利用雷達測速器來監測交通流速與流量、衛星 定位(GPS)、攝影機,但並未能有效地整合運用在交通管控與導航系統上。加以在資金 成本考量上,政府與業界並未全面投入提供數位化都市交通資訊蒐集。因此,台灣地區 所使用之汽車導航系統,由於未考量即時交通路況(平均車速與流量),故所提供之最短 路徑導航,無法因應、解決交通擁塞問題。 【新型内容】 RFID技術應用於汽車平均車速與流量監測與管控系統,主要整合無線射頻識 別、網路技術、電子地圖、以及關連資料庫技術,並利用一台計算控制傳輸器連 接傳輪裝置、RFID讀取機以及兩個偵測器(内含天線),以蒐集汽車車速與流量資 料、計算控制傳輸器再以支援網頁伺服軟體並透過JDBC driver驅動程式順利將 資料存入資料庫,然後經由計算、彙整本行政區各道路平均車速與流量,最後存 入本行政區高速伺服器。其次,都市各行政中心之高速伺服器,僅監測自己行政 區所屬各道路交通資訊,其次以洪水演算法,(即每台高速伺服器僅將自己行政區 道路壅塞路段,傳給鄰近相連之高速伺服器,當該高速伺服器接到資訊後,再傳 往自己鄰近相連高速伺服器但卻不回傳),定期更新其他行政中心高速伺服器之道 路交通資訊。最後,汽車上電腦可利用網路通訊程式與汽車所在地區行政中心之 3 M325576 % 高速電腦伺服器交換道路壅塞最新路況(平均車速與流量)。以利動態尋求最短路 徑,避開交通擁塞路段,並利用電子地圖顯示最短路徑。 【實施方式】 1·以化繁為簡之方法,將道路區分為A、B、C三類;A類為暢通路段(時速30km/hr 以上),B類為可能壅塞路段(時速15-30 km/hr以上),C類為壅塞路段(時速 0-15 km/hr以上),調查研究都市各道路於交通尖峰時期可能壅塞道路(屬於BC 路段)’架設本系統以篥集平均車速與流量。 2·本系統蒐集平均:奉速與流量並以自動傳輸裝置,以有線或無線傳輸方式,存入 都市各行政中心之高速伺服器,然各行政中心高速電腦僅監測蒐集自己行政區所 屬各道路交通資訊,其次以洪水演算法(即每台高速伺服器僅將自己行政區道路 Λ 壅塞路段,f給鄰近相連之高速伺服器,當該高速伺服器接到資訊後,再傳往自 己鄰近相連高速伺服器但卻不回傳),如此即能快速定期更新其他行政中心高速 伺服器之道路交通資訊’使得每一台高速伺服器都能掌握全都市道路壅塞路段。 | 3·最後,道路駕駛人可利用網路查尋全都市道路路況,同時,汽車上電腦可利用 無線網路技術與地區行動高速電腦伺服器,下載道路最新路況(平均車速與流 量)。以利動態最短路徑演算法尋求最短路徑,即可避開交通擁塞路段。 【圖式簡單說明】 圖一係利用本系統之計算控制傳輸器,連接無線射頻識別讀卡機(rfid READER),而讀卡機連接兩台偵測器(内含天線)。 【主要元件符號說明】 1·標藏TAG黏貼汽車擂風玻璃上 2·偵測器(天線) 3·無線射頻識別讀卡機(RFID READER) 4·計算控制傳輸器 5·交通行控中心高速伺服器 6.傳輸裝置 九、申請專利範圍:• M325576 VII. Designated representative map: (1) The representative representative of the case is the picture of (1). (2) The symbol of the symbol of this representative figure is simple: 1) The label TAG is attached to the windshield of the car 2. The detector 3, the RFID READER 4 · The calculation control transmitter 5 · Traffic control Center high-speed servo 6. Transmission device 8. New description: [New technology field] The main technical fields of this system are integrated radio frequency identification, network communication (wired, wireless) network, electronic map, and related database. Technology, profit collection, calculation, and collection of average speed and flow of urban roads. [Prior Art] Urban traffic congestion has been plaguing countries all over the world. For a long time, various related researches, including the construction of large I transportation vehicles, traffic flow and flow monitoring, shortest path navigation, limiting the number of vehicles and vehicles, etc., have continued to deepen. Explore the research. At this stage, most researchers use radar speedometers to monitor traffic flow and flow, satellite positioning (GPS), and cameras, but they are not effectively integrated into traffic control and navigation systems. In terms of capital cost considerations, the government and the industry have not fully invested in the collection of digital urban traffic information. Therefore, the car navigation system used in Taiwan does not consider the immediate traffic conditions (average speed and flow), so the shortest path navigation provided cannot cope with and solve the traffic congestion problem. [New content] RFID technology is applied to the average vehicle speed and flow monitoring and control system of automobiles. It mainly integrates radio frequency identification, network technology, electronic maps, and related database technology, and uses a computing control transmitter to connect the transmission device. The RFID reader and two detectors (including the antenna) collect the vehicle speed and flow data, calculate the control transmitter and then support the web server software and successfully store the data in the database through the JDBC driver driver. Calculate and remit the average speed and flow of each road in the administrative area, and finally deposit it into the high-speed server of the administrative area. Secondly, the high-speed servers of the administrative centers of the city only monitor the traffic information of the roads belonging to their own administrative districts, and secondly, the flood algorithm, that is, each high-speed server only transmits the road sections of its own administrative area to the adjacent high-speed server. When the high-speed server receives the information, it transmits it to its neighboring high-speed server but does not return it. It regularly updates the road traffic information of other administrative center high-speed servers. Finally, the computer on the car can use the network communication program to exchange the road conditions (average speed and flow) with the 3 M325576% high-speed computer server in the administrative center of the car. Eli dynamically seeks the shortest path, avoids traffic jams, and uses electronic maps to display the shortest path. [Embodiment] 1. The road is divided into three categories: A, B, and C. The class A is a smooth passage section (speed of 30km/hr or more), and the type B is a possible congestion section (speed of 15-30 per hour). More than km/hr), category C is a slumber section (speed of 0-15 km/hr or more). Investigation and study of urban roads may be blocked during traffic peaks (belonging to BC section) 'Essentially set up the system to collect average speed and flow . 2. The average collection of the system: the speed and flow are automatically transmitted to the high-speed servers of the administrative centers of the city by means of wired or wireless transmission. However, the high-speed computers of the administrative centers only monitor and collect the traffic of the roads belonging to their own administrative districts. Information, followed by the flood algorithm (that is, each high-speed server only occupies its own administrative roads, and gives the adjacent high-speed servos. When the high-speed server receives the information, it transmits it to its neighboring high-speed servo. But it does not return.) This will quickly and regularly update the road traffic information of other high-speed servers in the administrative center' so that every high-speed server can grasp the road congestion of the whole city. 3. Finally, road drivers can use the Internet to find road conditions across the city. At the same time, computers on the car can use the wireless network technology and regional mobile high-speed computer servers to download the latest road conditions (average speed and flow). Eli dynamic shortest path algorithm seeks the shortest path, which can avoid traffic congestion. [Simple diagram of the diagram] Figure 1 uses the system's computational control transmitter to connect to a radio frequency identification card reader (rfid READER), and the card reader connects two detectors (including an antenna). [Main component symbol description] 1·Label TAG stuck on the car hurricane glass 2. Detector (antenna) 3·RFID READER 4·Computation control transmitter 5·Transportation control center high speed Server 6. Transmission device 9. Patent application scope:

Claims (1)

M325576 % 高速電腦伺服器交換道路壅塞最新路況(平均車速與流量)。以利動態尋求最短路 徑,避開交通擁塞路段,並利用電子地圖顯示最短路徑。 【實施方式】 1·以化繁為簡之方法,將道路區分為A、B、C三類;A類為暢通路段(時速30km/hr 以上),B類為可能壅塞路段(時速15-30 km/hr以上),C類為壅塞路段(時速 0-15 km/hr以上),調查研究都市各道路於交通尖峰時期可能壅塞道路(屬於BC 路段)’架設本系統以篥集平均車速與流量。 2·本系統蒐集平均:奉速與流量並以自動傳輸裝置,以有線或無線傳輸方式,存入 都市各行政中心之高速伺服器,然各行政中心高速電腦僅監測蒐集自己行政區所 屬各道路交通資訊,其次以洪水演算法(即每台高速伺服器僅將自己行政區道路 Λ 壅塞路段,f給鄰近相連之高速伺服器,當該高速伺服器接到資訊後,再傳往自 己鄰近相連高速伺服器但卻不回傳),如此即能快速定期更新其他行政中心高速 伺服器之道路交通資訊’使得每一台高速伺服器都能掌握全都市道路壅塞路段。 | 3·最後,道路駕駛人可利用網路查尋全都市道路路況,同時,汽車上電腦可利用 無線網路技術與地區行動高速電腦伺服器,下載道路最新路況(平均車速與流 量)。以利動態最短路徑演算法尋求最短路徑,即可避開交通擁塞路段。 【圖式簡單說明】 圖一係利用本系統之計算控制傳輸器,連接無線射頻識別讀卡機(rfid READER),而讀卡機連接兩台偵測器(内含天線)。 【主要元件符號說明】 1·標藏TAG黏貼汽車擂風玻璃上 2·偵測器(天線) 3·無線射頻識別讀卡機(RFID READER) 4·計算控制傳輸器 5·交通行控中心高速伺服器 6.傳輸裝置 九、申請專利範圍: M325576 而4算控制傳輸器可使用有線網路例如GPR§、3(5、 f 522·11、微波等傳輸裝置輿交通行控,心之高速飼服器連接 14專利範園第1項所述之汽直羊妁鱼砝由、於具丨& 或無線網路例如 2· 第1撕“車其中叶算控 ,咖連綱庫峨介面自^ 3· K请^1範圍第1項所述之汽車平均車速與流量監測與管控系统,装由今你认 如 GPRS、3G、或__如M325576 % High-speed computer server exchanges road congestion for the latest road conditions (average speed and flow). Eli dynamically seeks the shortest path, avoids traffic jams, and uses electronic maps to display the shortest path. [Embodiment] 1. The road is divided into three categories: A, B, and C. The class A is a smooth passage section (speed of 30km/hr or more), and the type B is a possible congestion section (speed of 15-30 per hour). More than km/hr), category C is a slumber section (speed of 0-15 km/hr or more). Investigation and study of urban roads may be blocked during traffic peaks (belonging to BC section) 'Essentially set up the system to collect average speed and flow . 2. The average collection of the system: the speed and flow are automatically transmitted to the high-speed servers of the administrative centers of the city by means of wired or wireless transmission. However, the high-speed computers of the administrative centers only monitor and collect the traffic of the roads belonging to their own administrative districts. Information, followed by the flood algorithm (that is, each high-speed server only occupies its own administrative roads, and gives the adjacent high-speed servos. When the high-speed server receives the information, it transmits it to its neighboring high-speed servo. But it does not return.) This will quickly and regularly update the road traffic information of other high-speed servers in the administrative center' so that every high-speed server can grasp the road congestion of the whole city. 3. Finally, road drivers can use the Internet to find road conditions across the city. At the same time, computers on the car can use the wireless network technology and regional mobile high-speed computer servers to download the latest road conditions (average speed and flow). Eli dynamic shortest path algorithm seeks the shortest path, which can avoid traffic congestion. [Simple diagram of the diagram] Figure 1 uses the system's computational control transmitter to connect to a radio frequency identification card reader (rfid READER), and the card reader connects two detectors (including an antenna). [Main component symbol description] 1·Label TAG stuck on the car hurricane glass 2. Detector (antenna) 3·RFID READER 4·Computation control transmitter 5·Transportation control center high speed Server 6. Transmission device 9. Patent application scope: M325576 and 4 calculation control transmitters can use wired network such as GPR §, 3 (5, f 522·11, microwave and other transmission devices, traffic control, high-speed feeding The server is connected to the patent of Fan Fan, which is described in the first paragraph of Patent No. 1, and is used in the 丨 & or wireless network, for example, 2· 1st tearing, the car is controlled by the leaf, ^ 3· K Please ^1 The average vehicle speed and flow monitoring and control system described in item 1 of the scope, you can recognize it as GPRS, 3G, or __
TW96201342U 2007-01-24 2007-01-24 Measurement and management system of vehicle average speed and flow based on RFID technology TWM325576U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
TW96201342U TWM325576U (en) 2007-01-24 2007-01-24 Measurement and management system of vehicle average speed and flow based on RFID technology

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
TW96201342U TWM325576U (en) 2007-01-24 2007-01-24 Measurement and management system of vehicle average speed and flow based on RFID technology

Publications (1)

Publication Number Publication Date
TWM325576U true TWM325576U (en) 2008-01-11

Family

ID=39538685

Family Applications (1)

Application Number Title Priority Date Filing Date
TW96201342U TWM325576U (en) 2007-01-24 2007-01-24 Measurement and management system of vehicle average speed and flow based on RFID technology

Country Status (1)

Country Link
TW (1) TWM325576U (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106384506A (en) * 2016-09-03 2017-02-08 湖北鑫美电子科技股份有限公司 Road monitoring system for multivehicle complex road segment

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106384506A (en) * 2016-09-03 2017-02-08 湖北鑫美电子科技股份有限公司 Road monitoring system for multivehicle complex road segment
CN106384506B (en) * 2016-09-03 2019-07-12 湖北鑫美企业发展股份有限公司 A kind of preventing road monitoring system of more vehicle complicated highway sections

Similar Documents

Publication Publication Date Title
EP3496064B1 (en) Method and apparatus for publishing road event messages
US10907980B2 (en) Method and apparatus for detecting false positive slippery road reports using mapping data
US10036645B2 (en) Vehicle usage-based pricing alerts
EP1987502B1 (en) Apparatus and methods for speed management and control
US20200309533A1 (en) Driving condition specific sensor quality index
JP5926833B2 (en) Spatial index for locating geographic data parcels stored in physical storage media
US11231282B2 (en) Method and apparatus for providing node-based map matching
US20220018674A1 (en) Method, apparatus, and system for providing transportion logistics based on estimated time of arrival calculation
US20040030670A1 (en) Method and system for obtaining recurring delay data using navigation systems
US20110313633A1 (en) Device for navigating a motor vehicle and a method of navigating the same
US20190325236A1 (en) Method, apparatus, and system for determining a negative observation of a road feature
US20200090503A1 (en) Method, apparatus, and system for real-time detection of road closures
US10896334B2 (en) Method and system of a machine learning model for detection of physical dividers
US20200110817A1 (en) Method, apparatus, and system for providing quality assurance for map feature localization
EP3739297B1 (en) Method and apparatus for detecting a vehicle's parking, stopping, or standing locations
US9911332B1 (en) Method, apparatus, and computer program product for parking likelihood estimation based on probe data collection
US11282394B2 (en) Methods and systems for spatial clustering based on mobility data
EP3690402A2 (en) Method and apparatus for map-based dynamic location sampling
CN107730892A (en) A kind of traffic congestion index number evaluation method merged based on FCD with internet data
CN102901503A (en) Navigation information transmitting system and method
US20220319336A1 (en) Method and apparatus for estimating false positive reports of detectable road events
WO2021135147A1 (en) Electronic horizon creation method and system
US20230204372A1 (en) Method, apparatus, and system for determining road work zone travel time reliability based on vehicle sensor data
US20220299341A1 (en) Method, apparatus, and system for providing route-identification for unordered line data
US20220252422A1 (en) Method, apparatus, and system for constructing a high-resolution map for geospatial big data processing

Legal Events

Date Code Title Description
MM4K Annulment or lapse of a utility model due to non-payment of fees