EP1979886A1 - Verfahren und vorrichtung zur durchgangsverkehrserkennung - Google Patents
Verfahren und vorrichtung zur durchgangsverkehrserkennungInfo
- Publication number
- EP1979886A1 EP1979886A1 EP07703596A EP07703596A EP1979886A1 EP 1979886 A1 EP1979886 A1 EP 1979886A1 EP 07703596 A EP07703596 A EP 07703596A EP 07703596 A EP07703596 A EP 07703596A EP 1979886 A1 EP1979886 A1 EP 1979886A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- vehicle
- time
- area
- traffic
- transit
- 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.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/20—Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
- G08G1/207—Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles with respect to certain areas, e.g. forbidden or allowed areas with possible alerting when inside or outside boundaries
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
- G07B15/00—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
- G07B15/02—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points taking into account a variable factor such as distance or time, e.g. for passenger transport, parking systems or car rental systems
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0841—Registering performance data
- G07C5/085—Registering performance data using electronic data carriers
Definitions
- the described automatic transit traffic recognition is carried out in a vehicle device, i. in a device that is installed in a vehicle.
- An algorithm derived from the above-described procedure runs in the vehicle terminal. This device monitors the areas and times and sends out appropriate information if a potential violation of a driving ban is to be assumed.
- such a vehicle terminal be it in connection with a toll application or as a driver information or navigation system, has the necessary technical equipment for carrying out transit traffic recognition, so that the expense for implementation can be kept low.
- the necessary data with regard to transit times, entry points and / or exit points, etc. are kept in a protected storage area of the vehicle terminal, wherein changes or additions are made by means of an update of the data from the outside.
- individual or a plurality of restricted areas are stored in memory.
- the illustrated approach is not only advantageous for distinguishing transit and adjacent traffic or delivery traffic, but also for detecting whether dangerous goods transports and / or heavy transport traverse unauthorized areas or deviate from predetermined routes.
- FIG. 1 shows the basic procedure for through traffic recognition on the basis of a schematic diagram
- FIG. 2 shows an exemplary embodiment of a device for automatic traffic
- FIG. 3 uses a flow chart to outline a preferred embodiment of the computer program implemented in the vehicle terminal for automatic through traffic recognition.
- FIG. 4 shows a table for reference transit times of a fictitious area.
- FIG. 1 shows, by way of example, an area 10 which is blocked for transit traffic, in particular for certain classes of vehicles, such as heavy goods traffic.
- the area is crossed by various roads 12, 14, 16 and has various entry and exit points (A - F).
- the passage of an entry point A - F and the passage of one of the exit points A - F of the restricted area is now detected in the terminal installed in the vehicle. This is done in the preferred embodiment by means of a positioning system of the vehicle, for example based on GPS or Galileo signals. In other embodiments, there are devices (e.g., beacons) at the entrance and exit points, with which the on and off
- This journey time is with a - A -
- the reference value depends on different ones
- the reference value is determined by factors such as vehicle type (e.g., car, truck, motorcycle) and / or time of day (at night, rush hour, etc.) and / or characteristics of the area (number of intersections, locations, etc.).
- the reference transit time may also be dependent on the direction of travel, since the transit time may differ due to gradients or different number of traffic lights in each direction. For example, a trip from A to B may have a different typical transit time than a trip from B to A.
- FIG. 2 shows a vehicle-mounted terminal 20 which serves to implement the transit traffic detection algorithm as outlined above.
- the vehicle terminal 20 has a computer element 22, which at least one
- the terminal comprises at least one positioning system 28, for example a GPS system, which receives the signals necessary for determining the position via an antenna 30 and determines the own position from these signals.
- a communication unit 32 is part of the vehicle device, for example a Communication unit to a mobile network (eg GSM, GPRS, UMTS), and / or a short-range communication links such as WLAN, infrared, Bluetooth, DECT, DSRC, etc.
- the device shown in Figure 2 can be used for traffic traffic detection unit or an already existing Device, such as a telematics device, a toll device, a
- Navigation device etc., or be a part of such a device.
- the coordinates of the entrances and exits of areas closed to transit traffic are preferably stored as geo-coordinates (longitude, latitude, plus additional capture circle). If the vehicle drives through an entry point into the restricted area, a comparison of the measured
- the vehicle Own position and the stored position value range of the entry point that passes through the entry point. Thereafter, the time that the vehicle has been in the area since the entry point and / or the positions of the vehicle are automatically detected and stored in the internal memory. If the vehicle reaches an exit point (which is determined as shown in connection with the entry point), then the residence time between passing of the entry point until reaching the exit point is determined and compared with a reference transit time stored for this route.
- the reference transit times are stored as a table in the memory. Is the measured residence time less than or equal to the predetermined reference time, in the preferred embodiment of
- the vehicle identification number, the times when the entry and / or the exit point pass and / or the route recorded on the basis of the recorded positions are then optionally compressed and / or encrypted in the vehicle device and transmitted via the communication unit to a monitoring center.
- the measured journey time is greater than the reference time, then it is likely to be local traffic or delivery traffic.
- two variants are possible for a further procedure. Basically it can be assumed that in such a constellation no violation of the Passage restriction exists. This leads to the fact that ignoring the passage restriction and exceeding the reference time, for example due to congestion, accident, blocking, etc., this disregard is not recognized. Communication costs to the center are not incurred.
- Another variant is that the above-mentioned data of the monitoring center may be compressed and / or transmitted encrypted by means of the communication unit and then decided in the monitoring center on the basis of the lane, whether a disregard of the passage restriction exists or not.
- Both the entry and exit points and the reference transit time are updated via the communication interface of the vehicle device.
- the updating of this data via the communication interface is done dynamically, i. depending on the time of day and / or the current traffic conditions. At this time, e.g. In the case of areas which are locked in a time-dependent manner, the data is loaded into the memory of the vehicle device only during the corresponding time. Furthermore or alternatively, in the event of traffic jams in an area, the
- the area and reference time data are stored tamper-proof in the memory of the vehicle device. Depending on the size of the memory of the vehicle device, a predetermined amount of areas with passage restrictions are kept.
- the described concept for automatic through traffic detection is also used to detect dangerous goods traffic in areas closed to dangerous goods (eg due to water pollution control or tunnels). Geodesics of the corresponding restricted areas are then provided in the terminal of the dangerous goods transporter. As shown above, after a recognized passage through such an area, a message is issued. In a
- the reference time for such areas is set to a very high value, so that each crossing (even with a break) generates a message.
- the above procedure is applied inversely.
- the declared route is programmed as an area, a reference time is given and the time spent in the area is recorded. If the residence time is greater or less than the reference time plus a grace period, a message is issued.
- FIG. 3 shows an example of an embodiment of the above-described procedure as a computer program.
- the program is run at predetermined time intervals, for example a few milliseconds, and runs in the vehicle terminal.
- step 100 the current position of the vehicle is detected by means of the position determination unit. Then, in step 102, the stored positions of entry or exit points of restricted areas, preferably only adjacent to the current position, are compared. If the measured position corresponds to an entry point or if the position is in the capture area of an entry point, then the program is continued with step 104, otherwise it is repeated with step 100.
- a timer T is started in step 104. Furthermore, in order to prevent an entry point from being recognized several times, a flag is set for the entry point, which prevents the same entry point from being detected a second time in the event of another program run. Furthermore, the position value of the vehicle is stored. In the subsequent step 106, the position of the vehicle is determined again and it is checked in step 108 whether the position is within the capture range of a predetermined exit point of the area in which the vehicle is located. If this is not the case, the program is repeated with step 106. The exit points checked in step 108 are all exit points of this area. If an exit point is detected in step 108, the timer T is stopped in step 110.
- step 112 the reference time Tmax from the table in the memory for the predetermined route and, if necessary, the vehicle type, the direction of travel, the time of day, the weather conditions, etc. read.
- step 114 it is checked whether the measured time T is greater than the reference time. If this is the case, it is detected in step 116 that there was obviously a local or delivery traffic, while in the opposite case, in step 118, a transmission of predetermined data to a monitoring center is initiated. After step 116 or 118, the program is repeated in step 100.
Description
Claims
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE102006002376A DE102006002376A1 (de) | 2006-01-17 | 2006-01-17 | Verfahren und Vorrichtung zur Durchgangsverkehrserkennung |
PCT/EP2007/050021 WO2007082783A1 (de) | 2006-01-17 | 2007-01-03 | Verfahren und vorrichtung zur durchgangsverkehrserkennung |
Publications (2)
Publication Number | Publication Date |
---|---|
EP1979886A1 true EP1979886A1 (de) | 2008-10-15 |
EP1979886B1 EP1979886B1 (de) | 2009-04-01 |
Family
ID=38190108
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP07703596A Not-in-force EP1979886B1 (de) | 2006-01-17 | 2007-01-03 | Verfahren und vorrichtung zur durchgangsverkehrserkennung |
Country Status (6)
Country | Link |
---|---|
US (1) | US8489313B2 (de) |
EP (1) | EP1979886B1 (de) |
CN (1) | CN101371281B (de) |
AT (1) | ATE427541T1 (de) |
DE (2) | DE102006002376A1 (de) |
WO (1) | WO2007082783A1 (de) |
Families Citing this family (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
USRE46672E1 (en) | 2006-07-13 | 2018-01-16 | Velodyne Lidar, Inc. | High definition LiDAR system |
US10527448B2 (en) * | 2010-03-24 | 2020-01-07 | Telenav, Inc. | Navigation system with traffic estimation using pipeline scheme mechanism and method of operation thereof |
DE102011084558A1 (de) * | 2011-10-14 | 2013-04-18 | Siemens Ag | Verfahren und Vorrichtung zur Überwachung von vorgegebenen Zonen eines Überwachungsbereiches |
US9741246B2 (en) | 2013-08-23 | 2017-08-22 | Siemens Aktiengesellschaft | System for determining traffic information |
NO336505B1 (no) * | 2013-12-20 | 2015-09-14 | Q Free Asa | Sonedeteksjon i et GNSS-system |
JP6323248B2 (ja) * | 2014-08-11 | 2018-05-16 | 株式会社デンソー | 情報処理システム、端末装置、及びプログラム |
US10627490B2 (en) | 2016-01-31 | 2020-04-21 | Velodyne Lidar, Inc. | Multiple pulse, LIDAR based 3-D imaging |
WO2017164989A1 (en) | 2016-03-19 | 2017-09-28 | Velodyne Lidar, Inc. | Integrated illumination and detection for lidar based 3-d imaging |
CA3024510C (en) | 2016-06-01 | 2022-10-04 | Velodyne Lidar, Inc. | Multiple pixel scanning lidar |
CA3057988A1 (en) | 2017-03-31 | 2018-10-04 | Velodyne Lidar, Inc. | Integrated lidar illumination power control |
WO2018208843A1 (en) | 2017-05-08 | 2018-11-15 | Velodyne Lidar, Inc. | Lidar data acquisition and control |
US11294041B2 (en) * | 2017-12-08 | 2022-04-05 | Velodyne Lidar Usa, Inc. | Systems and methods for improving detection of a return signal in a light ranging and detection system |
US10712434B2 (en) | 2018-09-18 | 2020-07-14 | Velodyne Lidar, Inc. | Multi-channel LIDAR illumination driver |
US11082010B2 (en) | 2018-11-06 | 2021-08-03 | Velodyne Lidar Usa, Inc. | Systems and methods for TIA base current detection and compensation |
US11885958B2 (en) | 2019-01-07 | 2024-01-30 | Velodyne Lidar Usa, Inc. | Systems and methods for a dual axis resonant scanning mirror |
US10613203B1 (en) | 2019-07-01 | 2020-04-07 | Velodyne Lidar, Inc. | Interference mitigation for light detection and ranging |
CN113408432B (zh) * | 2021-06-22 | 2022-08-16 | 讯飞智元信息科技有限公司 | 基于图像的交通拥堵识别方法、装置以及设备 |
Family Cites Families (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE19516061A1 (de) | 1995-05-04 | 1996-11-07 | Bosch Gmbh Robert | System zum Erfassen von einem Fahrzeug in einem vorgegebenen Bereich zurückgelegten Strecke |
US6768944B2 (en) * | 2002-04-09 | 2004-07-27 | Intelligent Technologies International, Inc. | Method and system for controlling a vehicle |
US7202776B2 (en) * | 1997-10-22 | 2007-04-10 | Intelligent Technologies International, Inc. | Method and system for detecting objects external to a vehicle |
US7085637B2 (en) * | 1997-10-22 | 2006-08-01 | Intelligent Technologies International, Inc. | Method and system for controlling a vehicle |
KR100224326B1 (ko) * | 1995-12-26 | 1999-10-15 | 모리 하루오 | 차량용 네비게이션장치 |
US6581005B2 (en) * | 2000-11-30 | 2003-06-17 | Nissan Motor Co., Ltd. | Vehicle position calculation apparatus and method |
CN1384473A (zh) | 2001-04-30 | 2002-12-11 | 宋现力 | 高速公路区间信号预警系统 |
DE10155501A1 (de) | 2001-11-13 | 2003-05-28 | Vodafone Ag | Erfassungssystem für flächige Bereiche zum Erfassen von Fahrzeugen mit GPS |
US6836781B2 (en) * | 2002-09-16 | 2004-12-28 | Navteq North America, Llc | Method for streamlined representation of roads in a geographic database |
US7327250B2 (en) * | 2003-07-25 | 2008-02-05 | Qualcomm Incorporated | System for providing a virtual vehicle boundary |
US20050041757A1 (en) * | 2003-08-04 | 2005-02-24 | Lowell Rosen | Frequency-hopped holographic communications apparatus and methods |
JP4516306B2 (ja) * | 2003-11-28 | 2010-08-04 | 株式会社日立製作所 | ストレージネットワークの性能情報を収集する方法 |
US7489926B2 (en) * | 2004-01-15 | 2009-02-10 | The Boeing Company | LEO-based positioning system for indoor and stand-alone navigation |
CN1584937A (zh) | 2004-06-16 | 2005-02-23 | 武汉汉网天长智能交通网络有限公司 | 一种智能收费系统 |
US20070162537A1 (en) * | 2006-01-11 | 2007-07-12 | Gearworks, Inc. | Common application services framework |
-
2006
- 2006-01-17 DE DE102006002376A patent/DE102006002376A1/de not_active Withdrawn
-
2007
- 2007-01-03 CN CN2007800030039A patent/CN101371281B/zh not_active Expired - Fee Related
- 2007-01-03 EP EP07703596A patent/EP1979886B1/de not_active Not-in-force
- 2007-01-03 WO PCT/EP2007/050021 patent/WO2007082783A1/de active Application Filing
- 2007-01-03 AT AT07703596T patent/ATE427541T1/de active
- 2007-01-03 DE DE502007000564T patent/DE502007000564D1/de active Active
- 2007-01-03 US US12/161,101 patent/US8489313B2/en not_active Expired - Fee Related
Non-Patent Citations (1)
Title |
---|
See references of WO2007082783A1 * |
Also Published As
Publication number | Publication date |
---|---|
WO2007082783A1 (de) | 2007-07-26 |
US20100198487A1 (en) | 2010-08-05 |
EP1979886B1 (de) | 2009-04-01 |
DE102006002376A1 (de) | 2007-07-19 |
CN101371281B (zh) | 2010-10-06 |
DE502007000564D1 (de) | 2009-05-14 |
US8489313B2 (en) | 2013-07-16 |
CN101371281A (zh) | 2009-02-18 |
ATE427541T1 (de) | 2009-04-15 |
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