TWI557692B - Double-tolling determining electronic toll collecting method and system - Google Patents
Double-tolling determining electronic toll collecting method and system Download PDFInfo
- Publication number
- TWI557692B TWI557692B TW104112458A TW104112458A TWI557692B TW I557692 B TWI557692 B TW I557692B TW 104112458 A TW104112458 A TW 104112458A TW 104112458 A TW104112458 A TW 104112458A TW I557692 B TWI557692 B TW I557692B
- Authority
- TW
- Taiwan
- Prior art keywords
- time
- transaction
- target
- trading
- location
- Prior art date
Links
Landscapes
- Devices For Checking Fares Or Tickets At Control Points (AREA)
- Traffic Control Systems (AREA)
Description
本發明係關於一種電子收費重複交易判定方法及判定重複交易的電子收費系統。 The present invention relates to an electronic toll repeat transaction determination method and an electronic toll collection system for determining duplicate transactions.
在傳統的人工收費方式中,因為收費、找零或售、收回數票會消耗相當時間,所以收費站區域一直是高速公路的瓶頸所在,並且因而降低高速公路整體的行車速度。為了改善上述現象,於是發展出利用先進通訊及資訊技術的電子收費系統。 In the traditional manual charging method, since the charging, the change or the sale, and the recovery of the ticket will consume a considerable amount of time, the toll booth area has always been the bottleneck of the expressway, and thus the overall speed of the expressway is reduced. In order to improve the above phenomenon, an electronic toll collection system using advanced communication and information technology has been developed.
目前之電子化自動收費方式之一是採用特定短距通訊技術,利用微波或是無線射頻標籤方式感應扣款,其需用路人安裝設備或標籤,且感應效果易受外界環境影響而不穩定。另一常見的電子化自動收費方式是利用影像車牌識別,此方式無需用路人安裝設備或標籤,然而,也會受攝影機擺設位置、光源、天候、車牌污損等因素影響識別效果。 One of the current electronic automatic charging methods is to use a specific short-range communication technology to use the microwave or wireless radio frequency tag to sense the deduction. It requires a passerby to install the device or the tag, and the sensing effect is easily affected by the external environment and is unstable. Another common electronic automatic charging method is to use image license plate recognition. This method does not need to install equipment or labels by passers-by. However, it also affects the recognition effect by factors such as camera position, light source, weather, and license plate fouling.
上述問題會影響電子化自動收費的可靠性,除了感應扣款失敗外,重複扣款也是受到重視的問題。習知技術中,在判斷是否重複交易時,是以收費的目標車輛自身的紀錄為基礎,單純比對目標車輛在特定時間區間內是否有多個交易紀錄發生,然而車流路況等因素會對車速造成影響,可能導致誤判,有改進的空間。 The above problems will affect the reliability of electronic automatic charging. In addition to the failure of sensing deduction, repeated deductions are also a problem that is valued. In the prior art, when judging whether or not to repeat the transaction, based on the record of the target vehicle itself, it is simple to compare whether the target vehicle has multiple transaction records in a specific time interval, but the traffic condition and other factors may affect the speed. The impact may lead to misjudgment and room for improvement.
本發明之主要目的在於提供一種電子收費重複交易判定方法及判定重複交易的電子收費系統。 The main object of the present invention is to provide an electronic toll repeat transaction determination method and an electronic toll collection system for determining duplicate transactions.
電子收費重複交易判定方法包含以下步驟:(A)由第一資料獲取裝置獲取在預定時間區間內複數車輛通過第一位置之複數第一交易 時間;(B)由第二資料獲取裝置獲取複數車輛通過第二位置之複數第二交易時間,其中第一位置及第二位置間具有站間距離;(C)由伺服器接收第一交易時間以第二交易時間;(D)由伺服器根據第一交易時間、第二交易時間、以及站間距離,計算站間速度;(E)由伺服器根據站間速度及站間距離,計算到達所需時間;(F)由第一資料獲取裝置獲取在預定時間區間內目標車輛通過第一位置之目標第一交易時間;(G)由伺服器根據目標第一交易時間、到達所需時間以及預期誤差時間,計算預期交易時間區間;(H)由第二資料獲取裝置獲取目標車輛通過第二位置之目標第二交易時間;(I)由伺服器比對目標第二交易時間及預期交易時間區間,當目標第二交易時間位於預期交易時間區間內,判斷目標車輛在第一位置及第二位置間組成有效旅次;以及(J)當目標車輛組成有效旅次,且第一資料獲取裝置或第二資料獲取裝置獲取到目標車輛之目標第三交易時間,且目標第三交易時間介於目標第一交易時間及目標第二交易時間之間,由伺服器判斷目標第三交易時間為重複交易時間。 The electronic toll repeat transaction determination method includes the following steps: (A) acquiring, by the first data acquisition device, the first plurality of transactions in which the plurality of vehicles pass the first location within a predetermined time interval (B) obtaining, by the second data acquisition device, a plurality of second transaction times of the plurality of vehicles passing through the second location, wherein the first location and the second location have an inter-station distance; (C) receiving the first transaction time by the server In the second transaction time; (D) the server calculates the inter-station speed based on the first transaction time, the second transaction time, and the inter-station distance; (E) the server calculates the arrival based on the inter-station speed and the inter-station distance. (F) obtaining, by the first data acquisition device, the target first transaction time of the target vehicle passing the first position within the predetermined time interval; (G) determining, by the server, the first transaction time according to the target, the time required for arrival, and Expected error time, calculating an expected trading time interval; (H) obtaining, by the second data acquiring device, the target second time of the target vehicle passing the second position; (I) comparing the target second trading time and the expected trading time by the server Interval, when the target second trading time is within the expected trading time interval, it is determined that the target vehicle forms an effective travel time between the first position and the second position; and (J) when the target vehicle constitutes an effective travel And the first data acquisition device or the second data acquisition device acquires the target third transaction time of the target vehicle, and the target third transaction time is between the target first transaction time and the target second transaction time, and is determined by the server. The target third trading time is the repeat trading time.
步驟(G)包含將目標第一交易時間及到達所需時間的和,分別加減預期誤差時間,以計算得出預期到達時間區間的前後端時間。預期誤差時間包含獲得自以下步驟:由伺服器根據第一交易時間及第二交易時間,計算複數車輛中每一車輛自第一位置到第二位置所需的時間;由伺服器根據複數車輛中每一車輛自第一位置到第二位置所需的時間,計算標準差作為標準差時間;以及由伺服器將標準差時間乘以N作為預期誤差時間,其中N為整數。N較佳等於正負3。 Step (G) includes adding and subtracting the expected error time by the sum of the target first trading time and the required time of arrival to calculate the front-end time of the expected arrival time interval. The expected error time is obtained by the following steps: calculating, by the server, the time required for each vehicle in the plurality of vehicles from the first position to the second position according to the first transaction time and the second transaction time; The standard deviation time is calculated as the standard deviation time for each vehicle from the first position to the second position; and the standard deviation time is multiplied by N by the server as the expected error time, where N is an integer. N is preferably equal to plus or minus 3.
步驟(D)包含:(D-1)由伺服器根據第一交易時間、第二交易時間、以及站間距離,計算複數車輛中每一車輛於第一位置及第二位置間的平均速度;以及(D-2)由伺服器根據複數車輛中每一車輛於第一位置及第二位置間的平均速度,計算站間速度。 Step (D) includes: (D-1) calculating, by the server, an average speed between each of the plurality of vehicles in the first position and the second position according to the first transaction time, the second transaction time, and the inter-station distance; And (D-2) calculating, by the server, the inter-station speed based on an average speed between the first position and the second position of each of the plurality of vehicles.
電子收費重複交易判定方法中:步驟(D-2)進一步包含將複數車輛中每一車輛於第一位置及第二位置間的平均速度依大小分為多組,並且由伺服器根據各組所包含之平均速度計算多組對應的站間速度;步驟(E)進一步包含由伺服器根據多組站間速度及站間距離,計算多組到 達所需時間;步驟(G)進一步包含由伺服器根據目標第一交易時間、多組到達所需時間以及多組預期誤差時間,計算多組預期交易時間區間;以及步驟(I)進一步包含由伺服器比對目標第二交易時間及多組預期交易時間區間,當目標第二交易時間位於多組預期交易時間區間其中之一內,判斷目標車輛在第一位置及第二位置間組成有效旅次。 In the electronic toll repeat transaction determination method, the step (D-2) further includes dividing the average speed between each of the plurality of vehicles in the first position and the second position into a plurality of groups according to the size, and the server is configured according to each group. The average speed included includes multiple sets of corresponding inter-station speeds; step (E) further includes calculating, by the server, the plurality of groups according to the plurality of sets of inter-station speeds and inter-station distances Reaching the required time; step (G) further comprises calculating, by the server, the plurality of sets of expected trading time intervals according to the target first trading time, the plurality of sets of required time of arrival, and the plurality of sets of expected error times; and step (I) further comprises The server compares the target second trading time and the plurality of expected trading time intervals, and when the target second trading time is located in one of the plurality of expected trading time intervals, determining that the target vehicle forms an effective brigade between the first position and the second position Times.
判定重複交易的電子收費系統,包含:第一資料獲取裝置,供獲取在預定時間區間內複數車輛通過第一位置之複數第一交易時間,以及獲取在預定時間區間內目標車輛通過第一位置之目標第一交易時間;第二資料獲取裝置,供獲取複數車輛通過第二位置之複數第二交易時間,以及獲取目標車輛通過第二位置之目標第二交易時間,其中第一位置及第二位置間具有站間距離;以及伺服器,與第一資料獲取裝置及第二資料獲取裝置通信連接。伺服器供:接收第一交易時間以及第二交易時間;根據第一交易時間、第二交易時間、以及站間距離,計算站間速度;根據站間速度及站間距離,計算到達所需時間;根據目標第一交易時間、到達所需時間以及預期誤差時間,計算預期交易時間區間;比對目標第二交易時間及預期交易時間區間,當目標第二交易時間位於預期交易時間區間內,判斷目標車輛在第一位置及第二位置間組成有效旅次;以及當第一資料獲取裝置或第二資料獲取裝置獲取到目標車輛之目標第一交易時間及目標第二交易時間以外的目標第三交易時間,且目標第三交易時間介於目標第一交易時間及目標第二交易時間之間,判斷目標第三交易時間為重複交易時間。第一資料獲取裝置及第二資料獲取裝置包含影像獲取裝置。第一資料獲取裝置及第二資料獲取裝置包含無線信號獲取裝置。 An electronic toll collection system for determining a recurring transaction, comprising: a first data acquisition device for acquiring a plurality of first transaction times of the plurality of vehicles passing the first location within a predetermined time interval, and acquiring the target vehicle passing the first location within the predetermined time interval a first transaction time; a second data acquisition device for obtaining a plurality of second transaction times of the plurality of vehicles passing through the second location, and obtaining a target second transaction time of the target vehicle through the second location, wherein the first location and the second location There is a distance between stations; and a server is communicably connected to the first data acquisition device and the second data acquisition device. The server is configured to: receive the first transaction time and the second transaction time; calculate the inter-station speed according to the first transaction time, the second transaction time, and the inter-station distance; calculate the arrival time according to the inter-station speed and the inter-station distance Calculate the expected trading time interval according to the target first trading time, the arrival time and the expected error time; compare the target second trading time and the expected trading time interval, when the target second trading time is within the expected trading time interval, judge The target vehicle forms an effective travel time between the first location and the second location; and the target third when the first data acquisition device or the second data acquisition device acquires the target first transaction time and the target second transaction time of the target vehicle The trading time, and the target third trading time is between the target first trading time and the target second trading time, and the target third trading time is determined to be the repeat trading time. The first data acquisition device and the second data acquisition device include an image acquisition device. The first data acquisition device and the second data acquisition device include wireless signal acquisition devices.
100‧‧‧第一資料獲取裝置 100‧‧‧First data acquisition device
100‧‧‧第一資料獲取裝置 100‧‧‧First data acquisition device
200‧‧‧第二資料獲取裝置 200‧‧‧Second data acquisition device
300‧‧‧伺服器 300‧‧‧Server
800‧‧‧判定重複交易的電子收費系統 800‧‧‧Electronic toll collection system for determining duplicate transactions
1010‧‧‧步驟 1010‧‧‧Steps
1020‧‧‧步驟 1020‧‧‧Steps
1030‧‧‧步驟 1030‧‧‧Steps
1040‧‧‧步驟 1040‧‧‧Steps
1041‧‧‧步驟 1041‧‧‧Steps
1042‧‧‧步驟 1042‧‧‧Steps
1043‧‧‧步驟 1043‧‧‧Steps
1050‧‧‧步驟 1050‧‧‧Steps
1060‧‧‧步驟 1060‧‧‧Steps
1070‧‧‧步驟 1070‧‧‧Steps
1080‧‧‧步驟 1080‧‧‧ steps
1090‧‧‧步驟 1090‧‧‧Steps
1100‧‧‧步驟 1100‧‧‧Steps
圖1為本發明電子收費重複交易判定方法之較佳實施例流程示意圖;圖2為本發明電子收費重複交易判定方法之不同實施例流程示意圖;圖3為判定重複交易的電子收費系統之實施例示意圖。 1 is a schematic flow chart of a preferred embodiment of an electronic toll repeat transaction determination method according to the present invention; FIG. 2 is a schematic flowchart of different embodiments of an electronic toll collection transaction determination method according to the present invention; and FIG. 3 is an embodiment of an electronic toll collection system for determining duplicate transactions. schematic diagram.
本發明之電子收費重複交易判定方法及判定重複交易的電子收費系統較佳係用於電子收費道路系統。 The electronic toll repeat transaction determination method and the electronic toll collection system for determining duplicate transactions of the present invention are preferably used in an electronic toll road system.
如圖1所示之較佳實施例,本發明電子收費重複交易判定方法包含例如以下步驟。 As shown in the preferred embodiment of FIG. 1, the electronic toll repeat transaction determination method of the present invention includes, for example, the following steps.
步驟1010,由第一資料獲取裝置獲取在預定時間區間內複數車輛通過第一位置之複數第一交易時間。其中,第一資料獲取裝置包含無線射頻感應裝置、紅外線感應裝置、影像獲取裝置等,預定時間區間可視需求任意指定,例如1小時。第一位置可為高速公路上視需求任意指定的位置,例如兩個交流道之間。舉例而言,本步驟包含由作為第一資料獲取裝置的無線射頻感應裝置,感應在預定時間區間1小時內通過第一位置之複數車輛之無線射頻標籤資料,進而獲得複數車輛通過第一位置之複數第一交易時間。以另一實施例而言,本步驟包含由作為第一資料獲取裝置的影像獲取裝置,獲取在預定時間區間1小時內通過第一位置之複數車輛之車牌影像資料,進而辨識以獲得複數車輛通過第一位置之複數第一交易時間。 Step 1010: The first data acquisition device acquires a plurality of first transaction times when the plurality of vehicles pass the first location within a predetermined time interval. The first data acquisition device includes a wireless radio frequency sensing device, an infrared sensing device, an image capturing device, and the like, and the predetermined time interval can be arbitrarily specified according to requirements, for example, 1 hour. The first location can be any location on the highway that is arbitrarily specified, such as between two lanes. For example, the step includes: sensing, by the wireless radio frequency sensing device as the first data acquiring device, the radio frequency tag data of the plurality of vehicles passing through the first location within one hour of the predetermined time interval, thereby obtaining the plurality of vehicles passing through the first location. The first trading time. In another embodiment, the step includes: acquiring, by the image acquiring device as the first data acquiring device, the license plate image data of the plurality of vehicles passing through the first position within one hour of the predetermined time interval, thereby identifying and obtaining the plurality of vehicles passing through The first trading time of the first position.
步驟1020,由第二資料獲取裝置獲取複數車輛通過第二位置之複數第二交易時間,其中第一位置及第二位置間具有站間距離。其中,第二資料獲取裝置包含無線射頻感應裝置、紅外線感應裝置、影像獲取裝置等。第二位置可為高速公路上視需求任意指定的位置,例如兩個交流道之間。第一位置及該第二位置較佳但不限於是位在同一條高速公路上的不同位置,且依車行方向先通過第一位置再通過第二位置。舉例而言,本步驟包含由作為第二資料獲取裝置的無線射頻感應裝置,對於在前一步驟中在預定時間區間1小時內通過第一位置之複數車輛,在第二位置感應其無線射頻標籤資料,進而獲得其通過第二位置之複數第二交易時間。以另一實施例而言,本步驟包含由作為第一資料獲取裝置的影像獲取裝置,對於在前一步驟中在預定時間區間1小時內通過第一位置之複數車輛,在第二位置獲取其車牌影像資料,進而辨識以獲得複數車輛通過第二位置之複數第二交易時間。 Step 1020: The second data acquisition device acquires a plurality of second transaction times of the plurality of vehicles passing through the second location, wherein the first location and the second location have an inter-station distance. The second data acquisition device includes a wireless radio frequency sensing device, an infrared sensing device, an image capturing device, and the like. The second location can be any location that is arbitrarily specified on the highway, such as between two interchanges. The first position and the second position are preferably, but not limited to, different positions located on the same highway, and pass through the first position and then through the second position in the direction of the vehicle. For example, the step includes the wireless radio frequency sensing device as the second data acquiring device, and the wireless radio frequency tag is sensed at the second position by the plurality of vehicles passing through the first position within one hour in the predetermined time interval in the previous step. The data, in turn, obtains the second trading time of its plural through the second position. In another embodiment, the step includes acquiring, by the image acquisition device as the first data acquisition device, the plurality of vehicles passing through the first location within one hour of the predetermined time interval in the previous step, and acquiring the second location at the second location. The license plate image data is further identified to obtain a plurality of second trading hours of the plurality of vehicles passing through the second location.
步驟1030,由伺服器接收複數第一交易時間以及複數第二 交易時間。具體而言,伺服器可通過資料載體(例如記憶卡)移轉、電纜有線連接或無線通信方式,分別接收第一資料獲取裝置及第二資料獲取裝置獲取的複數第一交易時間以及複數第二交易時間。 Step 1030, the server receives the plural first transaction time and the second number transaction hour. Specifically, the server may receive the first first transaction time and the second number obtained by the first data acquisition device and the second data acquisition device respectively by a data carrier (eg, a memory card) transfer, a cable wired connection, or a wireless communication manner. transaction hour.
步驟1040,由伺服器根據第一交易時間、第二交易時間、以及站間距離,計算站間速度。以較佳實施例而言,步驟1040包含:步驟1041,由伺服器根據第一交易時間、第二交易時間、以及站間距離,計算複數車輛中每一車輛於第一位置及第二位置間的平均速度;以及步驟1042,由伺服器根據複數車輛中每一車輛於第一位置及第二位置間的平均速度,計算站間速度。更具體而言,是通過伺服器的計算,將複數車輛於第一位置及第二位置間的平均速度進一步加以平均而得到站間速度。 In step 1040, the inter-station speed is calculated by the server according to the first transaction time, the second transaction time, and the inter-station distance. In a preferred embodiment, step 1040 includes: Step 1041, calculating, by the server, between each of the first location and the second location of each of the plurality of vehicles based on the first transaction time, the second transaction time, and the inter-station distance The average speed; and step 1042, the inter-station speed is calculated by the server based on an average speed between the first position and the second position of each of the plurality of vehicles. More specifically, the average speed between the first position and the second position of the plurality of vehicles is further averaged by the calculation of the server to obtain the inter-station speed.
步驟1050,由伺服器根據站間速度及站間距離,計算到達所需時間。更具體而言,是通過伺服器的計算,將站間距離除以站間速度而獲得到達所需時間。 In step 1050, the server calculates the time required for arrival based on the inter-station speed and the inter-station distance. More specifically, it is the calculation of the server that divides the inter-station distance by the inter-station speed to obtain the time required for arrival.
步驟1060,由第一資料獲取裝置獲取在預定時間區間內目標車輛通過第一位置之目標第一交易時間。舉例而言,本步驟包含由作為第一資料獲取裝置的無線射頻感應裝置,感應在預定時間區間1小時內通過第一位置之目標車輛之無線射頻標籤資料,進而獲得目標車輛通過第一位置之目標第一交易時間。以另一實施例而言,本步驟包含由作為第一資料獲取裝置的影像獲取裝置,獲取在預定時間區間1小時內通過第一位置之目標車輛之車牌影像資料,進而辨識以獲得目標車輛通過第一位置之目標第一交易時間。 Step 1060: The first data acquisition device acquires a target first transaction time for the target vehicle to pass the first location within a predetermined time interval. For example, the step includes: receiving, by the wireless radio frequency sensing device as the first data acquiring device, the radio frequency tag data of the target vehicle passing through the first location within one hour of the predetermined time interval, thereby obtaining the target vehicle passing the first position. Target first trading time. In another embodiment, the step includes: acquiring, by the image acquiring device as the first data acquiring device, the license plate image data of the target vehicle passing through the first position within one hour of the predetermined time interval, thereby identifying the target vehicle through The first trading position of the first position.
在較佳實施例中,目標車輛可屬於前述複數車輛其中之一。在此情況下,目標第一交易時間屬於複數第一交易時間其中之一。換言之,當步驟1010之由第一資料獲取裝置獲取在預定時間區間內複數車輛通過第一位置之複數第一交易時間完成時,步驟1060之由第一資料獲取裝置獲取在預定時間區間內目標車輛通過第一位置之目標第一交易時間,亦同步完成。然而在不同實施例中,目標車輛不屬於前述複數車輛其中之一。 In a preferred embodiment, the target vehicle may belong to one of the aforementioned plurality of vehicles. In this case, the target first trading time belongs to one of the plural first trading hours. In other words, when the first data acquisition device of step 1010 acquires the plurality of first transaction times of the plurality of vehicles passing the first position within the predetermined time interval, the first data acquisition device of step 1060 acquires the target vehicle within the predetermined time interval. The first trading time through the target of the first position is also completed simultaneously. However, in various embodiments, the target vehicle does not belong to one of the aforementioned plurality of vehicles.
步驟1070,由伺服器根據目標第一交易時間、到達所需時間以及預期誤差時間,計算預期交易時間區間。更具體而言,本步驟包含將目標第一交易時間及到達所需時間的和,分別加減預期誤差時間,以計算得出預期到達時間區間的前後端時間。 Step 1070: The server calculates the expected transaction time interval according to the target first transaction time, the arrival time required, and the expected error time. More specifically, the step includes adding and subtracting the expected error time from the sum of the target first transaction time and the required time to calculate the front-end time of the expected arrival time interval.
步驟1080,由第二資料獲取裝置獲取目標車輛通過第二位置之目標第二交易時間。舉例而言,本步驟包含由作為第二資料獲取裝置的無線射頻感應裝置,感應通過第二位置之目標車輛之無線射頻標籤資料,進而獲得目標車輛通過第二位置之目標第二交易時間。以另一實施例而言,本步驟包含由作為第二資料獲取裝置的影像獲取裝置,獲取通過第二位置之目標車輛之車牌影像資料,進而辨識以獲得目標車輛通過第二位置之目標第二交易時間。 Step 1080: The second data acquisition device acquires the target second transaction time of the target vehicle through the second location. For example, the step includes: sensing, by the wireless radio frequency sensing device as the second data acquiring device, the radio frequency tag data of the target vehicle passing through the second location, thereby obtaining the target second transaction time of the target vehicle through the second location. In another embodiment, the step includes: acquiring, by the image acquiring device as the second data acquiring device, the license plate image data of the target vehicle passing through the second location, thereby identifying the target vehicle to pass the second position of the target second. transaction hour.
步驟1090,由伺服器比對目標第二交易時間及預期交易時間區間,當目標第二交易時間位於預期交易時間區間內,判斷目標車輛在第一位置及第二位置間組成有效旅次。 Step 1090: The server compares the target second transaction time and the expected transaction time interval, and when the target second transaction time is within the expected transaction time interval, determining that the target vehicle forms an effective travel time between the first location and the second location.
步驟1100,當目標車輛組成有效旅次,且第一資料獲取裝置或第二資料獲取裝置獲取到目標車輛之目標第三交易時間,且目標第三交易時間介於目標第一交易時間及目標第二交易時間之間,由伺服器判斷目標第三交易時間為重複交易時間。 Step 1100: When the target vehicle forms a valid travel time, and the first data acquisition device or the second data acquisition device acquires the target third transaction time of the target vehicle, and the target third transaction time is between the target first transaction time and the target number Between the two trading hours, the server determines that the target third trading time is the repeat trading time.
進一步而言,習知電子收費方法在判斷是否重複交易時,是以收費的目標車輛自身的紀錄為基礎,單純比對目標車輛在特定時間區間內是否有多個交易紀錄發生,然而車流路況等因素會對車速造成影響,可能導致誤判。以分別設有資料獲取裝置且之間有交流道的A、B兩個位置為例,A、B間嚴重塞車時,目標車輛可能在接近B位置停留超過預設的時間區間,例如30分鐘,此時,若有兩筆以上的交易記錄,單憑時間記錄將難以區分是發生重複交易或者目標車輛離開高速公路後由重新上高速公路並且經過B位置。相對的,在本發明的電子收費重複交易判定方法中,因為預期交易時間區間的計算基礎是來自預定時間區間內通過第一位置及第二位置的複數車輛而非僅有目標車輛本身,而常理上同一路段在同一時間區段內車輛的速度應該不會差異太大,所以可藉由目標第二交易時間是否位 於預期交易時間區間內來判斷目標車輛在第一位置及第二位置間是否組成有效旅次。然後,再以目標車輛在第一位置及第二位置間是否組成有效旅次作為篩選標準,對有組成有效旅次的車輛進一步確認第一資料獲取裝置或第二資料獲取裝置獲取到目標車輛之目標第三交易時間,判斷目標第三交易時間為重複交易時間,亦即判斷有發生重複交易。藉此,可有效防止電子收費重複交易發生。以上述例子而言,對於目標車輛離開高速公路後由重新上高速公路並且經過B位置的情況,因為不屬於組成有效旅次的情況,所以不會被判斷為重複交易。 Further, the conventional electronic charging method determines whether or not to repeat the transaction, based on the recorded record of the target vehicle itself, and simply compares whether the target vehicle has multiple transaction records within a specific time interval, but the traffic flow condition, etc. Factors can affect the speed of the car and can lead to misjudgments. Take the two locations A and B with the data acquisition device and the communication channel between them. When there is a serious traffic jam between A and B, the target vehicle may stay close to the B position for more than a preset time interval, for example, 30 minutes. At this time, if there are more than two transaction records, the time record alone will be difficult to distinguish whether a duplicate transaction occurs or the target vehicle leaves the highway and then re-enters the highway and passes the B position. In contrast, in the electronic toll repeat transaction determination method of the present invention, since the calculation basis of the expected transaction time interval is based on a plurality of vehicles passing through the first position and the second position within a predetermined time interval instead of only the target vehicle itself, common sense The speed of the vehicle on the same section of the same time zone should not be too different, so whether the second trading time of the target can be used It is determined within the expected trading time interval whether the target vehicle forms an effective travel time between the first location and the second location. Then, whether the target vehicle forms an effective travel time between the first location and the second location as a screening criterion, further confirming that the first data acquisition device or the second data acquisition device acquires the target vehicle for the vehicle having the valid travel time The third trading time of the target determines that the third trading time of the target is the repeated trading time, that is, it is determined that a repeated transaction occurs. Thereby, it is possible to effectively prevent electronic tolls from being repeated. In the above example, the case where the target vehicle leaves the expressway and passes the expressway and passes the B position is not judged to be a repeat transaction because it does not belong to the case of forming a valid travel time.
在一實施例中,預期誤差時間包含獲得自以下步驟:由伺服器根據第一交易時間及第二交易時間,計算複數車輛中每一車輛自第一位置到第二位置所需的時間;由伺服器根據複數車輛中每一車輛自該一位置到該二位置所需的時間,計算標準差作為標準差時間;以及由伺服器將標準差時間乘以N作為預期誤差時間,其中N為整數。N較佳等於正負3。進一步而言,藉由此步驟,預期誤差時間可以複數車輛的平均速度為基礎,更具客觀性。 In an embodiment, the expected error time comprises obtaining the step of: calculating, by the server, the time required for each vehicle in the plurality of vehicles from the first position to the second position according to the first transaction time and the second transaction time; The server calculates the standard deviation as the standard deviation time according to the time required for each vehicle in the plurality of vehicles from the position to the two positions; and the server multiplies the standard deviation time by N as the expected error time, where N is an integer . N is preferably equal to plus or minus 3. Further, by this step, the expected error time can be based on the average speed of the plurality of vehicles, and is more objective.
如圖2所示,在一實施例中,前述步驟1042進一步包含將複數車輛中每一車輛於第一位置及第二位置間的平均速度依大小分為多組,並且由伺服器根據各組所包含之平均速度計算多組對應的站間速度;步驟1050進一步包含由伺服器根據多組站間速度及站間距離,計算多組到達所需時間;步驟1070進一步包含由伺服器根據目標第一交易時間、多組到達所需時間以及多組預期誤差時間,計算多組預期交易時間區間;以及步驟1090進一步包含由伺服器比對目標第二交易時間及多組預期交易時間區間,當目標第二交易時間位於多組預期交易時間區間其中之一內,判斷目標車輛在第一位置及第二位置間組成有效旅次。進一步而言,同一路段可能會有不同的車速群組,例如在交流道附近,常見外側因為車輛排隊下交流道而車速最慢,中間車道受其影響車速次之,內側車道受影響較小故車速較快。藉由上述步驟,可區分出多組預期交易時間區間,只要目標第二交易時間位於多組預期交易時間區間其中之一內,即判斷目標車輛在第一位置及第二位置間組成有效旅次。如此,可更貼近真實狀況,避免誤判 發生。 As shown in FIG. 2, in an embodiment, the foregoing step 1042 further includes dividing the average speed of each vehicle in the plurality of vehicles between the first position and the second position into a plurality of groups according to the size, and according to each group by the server. The average speed included includes multiple sets of corresponding inter-station speeds; step 1050 further includes calculating, by the server, the plurality of sets of arrival time times according to the plurality of sets of inter-station speeds and inter-station distances; step 1070 further includes determining, by the server, A plurality of sets of expected trading time intervals are calculated for a trading time, a plurality of sets of required time, and a plurality of sets of expected error times; and step 1090 further includes comparing, by the server, the target second trading time and the plurality of sets of expected trading time intervals, when the target The second trading time is located in one of the plurality of sets of expected trading time intervals, and the target vehicle is determined to form an effective travel time between the first location and the second location. Further, there may be different speed groups in the same road section. For example, in the vicinity of the interchange, the common side is the slowest because the vehicle is lined up under the interchange, the middle lane is affected by the speed, and the inner lane is less affected. The speed is faster. Through the above steps, multiple sets of expected trading time intervals can be distinguished, as long as the target second trading time is located in one of the plurality of sets of expected trading time intervals, that is, the target vehicle is determined to form an effective travel time between the first position and the second position. . In this way, it can be closer to the real situation and avoid false positives. occur.
如圖3所示之實施例,本發明之判定重複交易的電子收費系統800,包含第一資料獲取裝置100、第二資料獲取裝置200、以及伺服器300。第一資料獲取裝置100供獲取在預定時間區間內複數車輛通過第一位置之複數第一交易時間,以及獲取在預定時間區間內目標車輛通過第一位置之目標第一交易時間。第二資料獲取裝置200供獲取複數車輛通過第二位置之複數第二交易時間,以及獲取目標車輛通過第二位置之目標第二交易時間,其中第一位置及第二位置間具有站間距離。伺服器300與第一資料獲取裝置100及第二資料獲取裝置200通信連接。伺服器300供:接收第一交易時間以及第二交易時間;根據第一交易時間、第二交易時間、以及站間距離,計算站間速度;根據站間速度及站間距離,計算到達所需時間;根據目標第一交易時間、到達所需時間以及預期誤差時間,計算預期交易時間區間;比對目標第二交易時間及預期交易時間區間,當目標第二交易時間位於預期交易時間區間內,判斷目標車輛在第一位置及第二位置間組成有效旅次;以及當目標車輛組成有效旅次,且第一資料獲取裝置或第二資料獲取裝置獲取到目標車輛之目標第三交易時間,且目標第三交易時間介於目標第一交易時間及目標第二交易時間之間,由伺服器判斷目標第三交易時間為重複交易時間。第一資料獲取裝置100及第二資料獲取裝置200包含影像獲取裝置及例如無線射頻和紅外線感應的無線信號獲取裝置等。 As shown in the embodiment of FIG. 3, the electronic toll collection system 800 for determining a repetitive transaction of the present invention includes a first data acquisition device 100, a second data acquisition device 200, and a server 300. The first data acquisition device 100 is configured to acquire a plurality of first transaction times in which the plurality of vehicles pass the first location within a predetermined time interval, and acquire a target first transaction time in which the target vehicle passes the first location within the predetermined time interval. The second data acquisition device 200 is configured to obtain a plurality of second transaction times of the plurality of vehicles passing through the second location, and acquire a target second transaction time of the target vehicle through the second location, wherein the first location and the second location have an inter-station distance. The server 300 is communicably connected to the first data acquisition device 100 and the second data acquisition device 200. The server 300 is configured to: receive the first transaction time and the second transaction time; calculate the inter-station speed according to the first transaction time, the second transaction time, and the inter-station distance; calculate the arrival required according to the inter-station speed and the inter-station distance Time; calculate the expected trading time interval according to the target first trading time, the arrival time and the expected error time; compare the target second trading time and the expected trading time interval, when the target second trading time is within the expected trading time interval, Determining that the target vehicle forms an effective travel time between the first location and the second location; and when the target vehicle constitutes a valid travel time, and the first data acquisition device or the second data acquisition device acquires the target third transaction time of the target vehicle, and The target third trading time is between the target first trading time and the target second trading time, and the server determines that the target third trading time is the repeated trading time. The first data acquisition device 100 and the second data acquisition device 200 include an image acquisition device and a wireless signal acquisition device such as radio frequency and infrared induction.
雖然前述的描述及圖式已揭示本發明之較佳實施例,必須瞭解到各種增添、許多修改和取代可能使用於本發明較佳實施例,而不會脫離如所附申請專利範圍所界定的本發明原理之精神及範圍。熟悉本發明所屬技術領域之一般技藝者將可體會,本發明可使用於許多形式、結構、佈置、比例、材料、元件和組件的修改。因此,本文於此所揭示的實施例應被視為用以說明本發明,而非用以限制本發明。本發明的範圍應由後附申請專利範圍所界定,並涵蓋其合法均等物,並不限於先前的描述。 While the foregoing description of the preferred embodiments of the invention, the embodiments of the invention The spirit and scope of the principles of the invention. Modifications of many forms, structures, arrangements, ratios, materials, components and components can be made by those skilled in the art to which the invention pertains. Therefore, the embodiments disclosed herein are to be considered as illustrative and not restrictive. The scope of the present invention is defined by the scope of the appended claims, and the legal equivalents thereof are not limited to the foregoing description.
1010‧‧‧步驟 1010‧‧‧Steps
1020‧‧‧步驟 1020‧‧‧Steps
1030‧‧‧步驟 1030‧‧‧Steps
1040‧‧‧步驟 1040‧‧‧Steps
1041‧‧‧步驟 1041‧‧‧Steps
1042‧‧‧步驟 1042‧‧‧Steps
1043‧‧‧步驟 1043‧‧‧Steps
1050‧‧‧步驟 1050‧‧‧Steps
1060‧‧‧步驟 1060‧‧‧Steps
1070‧‧‧步驟 1070‧‧‧Steps
1080‧‧‧步驟 1080‧‧‧ steps
1090‧‧‧步驟 1090‧‧‧Steps
1100‧‧‧步驟 1100‧‧‧Steps
Claims (9)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
TW104112458A TWI557692B (en) | 2015-04-17 | 2015-04-17 | Double-tolling determining electronic toll collecting method and system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
TW104112458A TWI557692B (en) | 2015-04-17 | 2015-04-17 | Double-tolling determining electronic toll collecting method and system |
Publications (2)
Publication Number | Publication Date |
---|---|
TW201638888A TW201638888A (en) | 2016-11-01 |
TWI557692B true TWI557692B (en) | 2016-11-11 |
Family
ID=57850365
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
TW104112458A TWI557692B (en) | 2015-04-17 | 2015-04-17 | Double-tolling determining electronic toll collecting method and system |
Country Status (1)
Country | Link |
---|---|
TW (1) | TWI557692B (en) |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
TW200525394A (en) * | 2004-01-16 | 2005-08-01 | Chunghwa Telecom Co Ltd | Data matching method applied to electronic billing system implemented for vehicle positioning |
WO2011023004A1 (en) * | 2009-08-25 | 2011-03-03 | 中兴通讯股份有限公司 | Implement method and system for electronic toll collection |
US8753236B2 (en) * | 2004-05-19 | 2014-06-17 | 1783590 Ontario Ltd. | Synchronized segmentally interchanging pulley transmission system |
-
2015
- 2015-04-17 TW TW104112458A patent/TWI557692B/en active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
TW200525394A (en) * | 2004-01-16 | 2005-08-01 | Chunghwa Telecom Co Ltd | Data matching method applied to electronic billing system implemented for vehicle positioning |
US8753236B2 (en) * | 2004-05-19 | 2014-06-17 | 1783590 Ontario Ltd. | Synchronized segmentally interchanging pulley transmission system |
WO2011023004A1 (en) * | 2009-08-25 | 2011-03-03 | 中兴通讯股份有限公司 | Implement method and system for electronic toll collection |
Also Published As
Publication number | Publication date |
---|---|
TW201638888A (en) | 2016-11-01 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US11080995B2 (en) | Roadway sensing systems | |
US10713490B2 (en) | Traffic monitoring and reporting system and method | |
US10950124B2 (en) | License plate recognition | |
US9685079B2 (en) | Short-time stopping detection from red light camera evidentiary photos | |
CN106297330B (en) | Reduce the method and system that pedestrian's street crossing influences plane perceptual signal control efficiency | |
KR101995813B1 (en) | Apparatus for providing traffic information based on image and method thereof | |
AU2015352462B2 (en) | Method of controlling a traffic surveillance system | |
WO2014160027A1 (en) | Roadway sensing systems | |
AU2013346697B2 (en) | Device for tolling or telematics systems | |
US20190385449A1 (en) | System and method for providing automatic on-street parking control and unoccupied parking spot availability detection | |
CN109359596A (en) | A kind of highway vehicle localization method fast and accurately | |
Tian et al. | A vehicle re-identification algorithm based on multi-sensor correlation | |
TWI526996B (en) | Abnormal trade proofing electronic toll collecting method and system | |
CN106530739A (en) | License plate recognition method, device and system thereof based on multiple camera device | |
TWI557692B (en) | Double-tolling determining electronic toll collecting method and system | |
US20160358462A1 (en) | Method and system for vehicle data integration | |
TWI712012B (en) | Artificial intelligence traffic detection system | |
Oliveira-Neto et al. | Tracking large trucks in real time with license plate recognition and text-mining techniques | |
Kanathantip et al. | Robust vehicle detection algorithm with magnetic sensor | |
Yu et al. | MPP: A novel algorithm for estimating vehicle space headways from a single image | |
TWI576791B (en) | Electronic toll collection trade resuming method and system using the same | |
KR101035122B1 (en) | Measurement Method of Travel Time Using Sequence Pattern of Vehicles | |
JP4788926B2 (en) | Vehicle number reading device | |
TWI734050B (en) | Vehicle recognition method and system using the same, object recognition method and system using the same | |
CA2905372C (en) | Roadway sensing systems |