EP1176569B1 - Verfahren zur Bestimmung des Verkehrszustands in einem Verkehrsnetz mit effektiven Engstellen - Google Patents
Verfahren zur Bestimmung des Verkehrszustands in einem Verkehrsnetz mit effektiven Engstellen Download PDFInfo
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- EP1176569B1 EP1176569B1 EP01117818A EP01117818A EP1176569B1 EP 1176569 B1 EP1176569 B1 EP 1176569B1 EP 01117818 A EP01117818 A EP 01117818A EP 01117818 A EP01117818 A EP 01117818A EP 1176569 B1 EP1176569 B1 EP 1176569B1
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- traffic
- fcd
- speed
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- synchronized
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
Definitions
- the invention relates to a method for determining the Traffic conditions in a traffic network with effective bottlenecks according to the preamble of claim 1.
- Method for monitoring and forecasting the traffic condition e.g. on road networks are variously known and especially for various telematics applications in vehicles of interest.
- One goal of this procedure is to look at Traffic measuring points collected traffic data a least qualitative description of the traffic condition at the respective Win the measuring point and its surroundings.
- measuring points both stationary installed measuring points and movable measuring points into consideration, the latter especially in shape of moving in traffic measuring vehicles, so-called "Floating Cars”.
- effective bottlenecks in the present case denotes such Places of the transport network, where appropriate at Traffic localized over a period of time permanent border or flank between downstream free Traffic and upstream synchronized traffic forms.
- the formation of such effective bottlenecks is common, though not exclusively, through appropriate topographical Conditions of the transport network, such as bottlenecks, where the number of usable lanes decreases, through opening access lanes, through a bend, a slope, a slope, a division of a roadway into several lanes or by exits.
- Effective bottlenecks can but also e.g. due to temporary traffic disruptions, such as by itself compared to the average vehicle speed in free traffic slow moving bottlenecks, e.g. Construction vehicles, or accident sites.
- the traffic condition can be upstream Effective bottlenecks in different patterns dense traffic classify that from a typical sequence of the mentioned customizable dynamic state phases or made up of these areas. So forms upstream an effective bottleneck typically first Area of synchronized traffic, to the upstream connect an area of compressed synchronized traffic can, in front of which then an area becomes wider moving Can form congestion.
- dense traffic upstream of an effective bottleneck belongs a corresponding Profile taken into account for the state phase determination Traffic parameters, such as the temporal-local course of the Vehicle speed within the pattern.
- Empirical or otherwise obtained, stored traffic data are known to be used to traffic conditions on the transport network, i. e. for one predict future time.
- this is the so-called hydrograph forecast, in the current measured traffic data with stored hydrographic traffic data be compared and make it a best fit Is determined on the basis of which the future Traffic status is estimated, see for example the published patent application DE 197 53 034 A1.
- Other traffic condition forecasting methods Among others, from FCD (Floating Car Data) traffic data is used in the published patent applications DE 197 25 556 A1, DE 197 37 440 A1, DE 197 54 483 A1 and EP 0 902 405 A2 and the patent DE 195 26 148 C2 described.
- the invention is the provision as a technical problem a method of the type mentioned, with the the current traffic condition especially in the area upstream determined by effective bottlenecks comparatively reliable can be so based on that as needed too reliable traffic forecasts are possible.
- the invention solves this problem by providing a Method with the features of claim 1.
- This method is characterized in particular by the fact that currently seal collected FCD traffic data to recognize patterns Traffic at effective bottlenecks.
- the FCD traffic data contains at least one piece of information about the place and the speed, preferably over the time- and location-dependent speed course, of the respective traffic data-collecting FCD vehicle, the FCD traffic data for a respective stretch of one FCD vehicle at certain intervals and / or from several, driving this section of the route at intervals FCD vehicles are won.
- FCD traffic data recorded by the FCD vehicle (s) then becomes for the respective route section determines whether there is an effective bottleneck, i. a localized limit over a certain period of time Flank between downstream free traffic and upstream synchronized traffic. This is for example recognizable that the one or more FCD vehicles in the concerned Line section upstream of the effective bottleneck reported vehicle speeds one for the state below free traffic typical average speed value.
- FCD traffic data continues to do so evaluated that they have a matching pattern seal Traffic upstream of the effective bottleneck assigned becomes. This will then seal as the currently present pattern Traffic at the relevant bottleneck. This is the current traffic condition in this area determines what e.g. for a traffic forecast by means of a Hydrograph forecast or another forecasting technique used can be.
- FCD traffic data detects whether a range of "moving wide traffic jams" from his Pattern has replaced dense traffic at its upstream At the end he arose, which is the case when the reported vehicle speeds downstream of this Not as in the area of compressed synchronized traffic behave, but e.g. as in the area of free traffic.
- claims 3 and 4 further developed method allow the specific recognition of driveways or departure-like ones effective bottlenecks because of the reported vehicle speeds above or before the actual, e.g. when information stored in a digital road map Increase the location of the corresponding route topography change.
- a further developed according to claim 5 method allows the detection of non-topographical temporary Bottlenecks, such as are given by accident sites.
- a further developed according to claim 7 method allows specifically the detection of the boundary between the area “moving wide jam “and the area” compressed synchronized Traffic "in a pattern of dense traffic a further developed according to claim 8 method the detection the boundary between the area “compressed synchronized Traffic “and the area” synchronized traffic "in one Pattern dense traffic, and claim 9 gives a preferred one Method of detecting the boundary between the area “free Traffic “and the area” synchronized traffic ".
- a further developed according to claim 10 method allows a Determining the current traffic volume from the recorded traffic FCD traffic data for the various detected traffic condition phases “free traffic”, “synchronized traffic” and “compressed synchronized traffic” based on associated, Travel times derived from the FCD traffic data.
- One after Claim 11 further developed method analogous to a Determining the traffic volume for recognized storage areas.
- Fig. 1 schematically shows the flow of the present traffic condition determination method.
- a first step 1 will be Data on the locations of topographical route characteristics used for Formation of effective bottlenecks can, for a considered Transport network recorded in advance and in a corresponding Database stored, preferably together with other data in Form of a digital road network map. This can then be in one on-vehicle memory and / or in a computer of a traffic center be carried along. Vehicle side or central side further suitable components are implemented, with which current FCD traffic data from corresponding FCD vehicles can be received and evaluated, in particular to the effect that from current FCD traffic data to current present effective bottlenecks and patterns dense traffic is closed upstream of it. This will be below explained in detail. For the rest, the evaluation of the FCD traffic data by any of the conventional methods respectively. The evaluation can then be used in particular to create automatic travel time forecasts.
- FCD traffic data recorded by FCD vehicles on the different sections of the transport network i. to move in the traffic.
- the FCD traffic data include in particular Data about the current speed and the current location of the respective FCD vehicle and depending on the application further conventional FCD data content.
- the recorded FCD traffic data will be transmitted to the evaluating body which as I said in a particular vehicle or in a stationary Traffic control center can be positioned. In the evaluative Place then takes place as the one of primary interest here Process step 3, the evaluation of the suitably recorded FCD traffic data to determine the current traffic condition in particular with regard to the presence of more effective Narrowing and patterns dense traffic to effective ones Constrictions. This will be described in detail below. in the the rest can be the traffic condition at other points of the transport network if necessary following one of the usual procedures be determined. The determined current traffic condition and especially the recognized, currently existing patterns dense Traffic at effective bottlenecks can then be the basis for Form traffic forecasts, see step 4.
- the evaluation of the recorded FDC traffic data begins with the determination of whether one or more, in temporal Distance behind each other a respective stretch of road driving FCD vehicles running for consecutive Positions reported on the relevant section of the route Vehicle speeds or a derived thereof average vehicle speed at the respective measuring location fall below a predetermined threshold, which is for a traffic disruption event is representative. This will detect if there is a non-free traffic condition, i. traffic jam or a range of "moving wide jams" or an area “synchronized traffic” or “compressed synchronized Traffic. As I said, this is traffic jam detection already possible with the data of a single FCD vehicle. If the data of several consecutive same section of the route driving FCD vehicles however, improves the accuracy and reliability of detection especially the traffic dynamics and the change in mean travel times as well as traffic flow behavior detectable.
- FCD traffic data in this area will continue to do so analyzed if this condition is on an effective bottleneck based.
- An indication of this is when the downstream end of the recognized state non-free traffic locally fixed what remains on the local presence of an effective Bottleneck indicates. It continues from the current FCD traffic data, in particular the corresponding traffic parameter profile specifically the speed profile, vehicle and / or a matching, matching pattern on the central side dense traffic. The pattern thus determined dense traffic is then considered to be the present one and for further applications.
- These applications include a traffic warehouse construction as needed for subareas or the entire transport network and / or one Traffic forecast for this and / or a selection of the best appropriate hydrograph from a corresponding hydrograph database for traffic forecasting and / or the creation of an improved Hydrograph forecast for the transport network.
- One measure is to evaluate the FCD velocity data of one or more FCD vehicles to determine whether a range of "moving wide jams" has come off the upstream end of a dense traffic pattern where such areas typically arise and develop has been or still belongs to the pattern.
- the downstream flank F St, GS of the "moving wide jam” region has been removed upstream from the upstream end of the dense traffic pattern associated with an effective bottleneck at a location x S, F , as in the schematic situation diagram 2
- the upstream flank F St, GS of the "moving wide jam” region forms the boundary to a downstream adjoining region of "compressed synchronized traffic" as shown in the situation diagram of FIG.
- FCD speed data for example, by the fact that from this boundary F St, GS by the attainment of the "compressed synchronized traffic" over the previous speed values upstream of which compares relatively strong and short-term speed reductions almost to standstill for typically about 1min to 2min with intervening vehicle motions during which the vehicle speed is in a typical range for compressed synchronized traffic of about 20km / h to 40km / h for typical periods of about 3min to 7min alternate.
- the present method allows a decision based on FCD traffic data on whether a localized effective bottleneck a driveaway or a departure-like effective bottleneck is as referred to below explained on Fig. 3.
- Fig. 3 shows in the upper part schematically an environment of an effective Bottleneck and in the lower part diagrammatically the associated typical location-dependent course of vehicle flow, Vehicle density and vehicle speed.
- Fig. 3 shows in the upper part schematically an environment of an effective Bottleneck and in the lower part diagrammatically the associated typical location-dependent course of vehicle flow, Vehicle density and vehicle speed.
- rises in the actual area of the effective bottleneck the vehicle speed from the lower value in the upstream Area synchronized traffic steadily to the higher mean speed value in the area of free traffic while, conversely, the vehicle density is correspondingly steady decreases.
- With a vertical line is in the upper part of the picture the place where the effective Bottleneck is actually located.
- the present method allows detection effective bottlenecks that did not register, i.e. go back to previously stored route topography features, but e.g. temporarily from accident sites on highways caused. It is concluded that such an effective bottleneck when the measured FCD speed data is on Patterns dense traffic have indexed and the FCD speeds after leaving this area dense traffic compared with a given, typical for free traffic Threshold low average speed value rise again and a predetermined, for a phase transition of synchronized to exceed normal traffic threshold, which in this case is chosen larger than the corresponding one Threshold for the distinction described above between effective bottlenecks at access roads and departures exist.
- an effective, unrecorded Bottleneck accepted when the location of the speed increase outside the environments of the specified, known places the relevant track topography changes.
- the present method further allows a decision whether a recognized pattern dense traffic a single or is an overarching pattern.
- a criterion serves determining whether the range of synchronized traffic or compressed synchronized traffic over the location of the localization an associated effective bottleneck extended is. This is based on the measured FCD speeds Recognizing that downstream of the downstream flank the area of synchronized traffic forming effective Bottleneck no significant increase in mean vehicle speed occurs, which means that a pattern is dense Traffic of a downstream effective bottleneck this has reached or overlaps the upstream effective bottleneck.
- the evaluated FCD velocity profile can be It also recognizes how many effective bottlenecks such an overarching Pattern covered. This is done using the FCD speed data found out about how many effective Narrow down an area of synchronized traffic and / or compressed synchronized traffic or an uninterrupted and any sequence of areas moving wider Traffic jams, compressed synchronized traffic and synchronized Traffic expands.
- F GS, S On the basis of the recorded FCD speed data, it is further possible to determine the location of the border F GS, S between an area of compressed synchronized traffic and a region of synchronized traffic downstream of it in a pattern of dense traffic.
- a boundary F GS, S lies for both a complete dense traffic pattern with an area B S synchronized traffic, an upstream adjacent area B GS compressed synchronized traffic and an upstream area B St of moving wide congestion, as shown in FIG. 4, as well as for a reduced pattern shown in FIG. 5, dense traffic lacking the range of moving wide jams.
- the location of the flank F GS, S is determined to be the location above which the typical speed profile of the compressed synchronized traffic described above transitions to a speed profile typical for synchronized traffic, whereupon the average vehicle speed in the synchronized traffic range is between a typical minimum synchronized speed Traffic, which is possible without compression phenomena, and a typical minimum speed for free traffic.
- the location of a boundary F F, S between the area of synchronized traffic B s and an upstream area of free traffic B F for a reduced dense traffic pattern can be determined, which is shown in FIG. 6, and only synchronized traffic exists upstream of an effective bottleneck, followed by a downstream free traffic area again, with the downstream edge F s, F of the synchronized traffic area B S always coinciding with the location X S, F effective bottleneck corresponds.
- the location of the flank F F, S between free traffic and downstream synchronized traffic is determined as the location above which the average vehicle speed, previously obtained from the FCD speed data, which previously corresponded to the typical value for free traffic, falls below the typical minimum value for free traffic and then within the typical speed range for synchronized traffic, ie between the typical minimum speed for synchronized traffic and the typical minimum speed for free traffic.
- the present method makes it possible to determine the traffic volume q (j) for the different route edges j, especially for expressways of a traffic network.
- the travel times t tr (j) of several FCD vehicles are simply determined on the basis of the corresponding location and time data and together with their distance to be determined from these data ⁇ L on the line edge j used for traffic strength determination. This is done for the various traffic state phases "free traffic”, “synchronized traffic”, “compressed synchronized traffic” and “congestion” in a suitably adapted manner as follows.
- Q synch (j) (T, L) of the traffic intensity in function of the travel time T and the associated distance L, between which the corresponding travel time was measured by the respective FCD vehicle, used in order to use the current measured travel time t tr (j) and the current FCD vehicle distance ⁇ L to determine the current traffic volume q (j) in the synchronized traffic through the relationship q (J) Q synch (J) (t tr (J) , ⁇ L) to determine.
- the travel time corresponds to the travel time of one or more FCD vehicles between the boundary F GS, S compressed synchronized traffic to the synchronized traffic and the boundary F S, F synchronized traffic to the free traffic, when a dense traffic type of traffic 4 or 5, and the corresponding travel time between the boundary F F, S free traffic to the synchronized traffic and the boundary F S, F of the synchronized to the free traffic in the case of a dense traffic pattern according to Fig. 6.
- the travel time corresponds to the travel time of one or more FCD vehicles between the limits F St, GS and F GS, S in the case of the dense traffic pattern of FIG.
- the distance ⁇ L to be used is also the length of the area of synchronized traffic B S or compressed synchronized traffic s B GS .
- q out (j) denotes a characteristic predetermined traffic volume of vehicles leaving the traffic jam
- the above equations 1 to 4 are on the right equation page each with an additional lane actuator n / m to provide cross-section traffic volume taking into account the number of lanes, where n the number of lanes at the beginning of the considered Section and m the number of lanes at the end of the section and is presupposed that the Lane number during the considered period of the evaluated FCD traffic data does not change.
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Description
- Fig. 1
- ein Flussdiagramm eines Verfahrens zur Verkehrszustandsbestimmung auf der Basis erkannter Muster dichten Verkehrs an effektiven Engstellen,
- Fig. 2
- eine schematische Darstellung eines Streckenabschnitts mit effektiver Engstelle und zugehörigem Muster dichten Verkehrs sowie einem abgelösten Bereich "sich bewegende breite Staus",
- Fig. 3
- eine schematische Darstellung zur Erläuterung der verfahrensgemäßen Lokalisierung einer effektiven Engstelle,
- Fig. 4
- eine schematische Darstellung entsprechend Fig. 2, jedoch mit nicht abgelöstem Bereich "sich bewegender breiter Staus",
- Fig. 5
- eine Darstellung entsprechend Fig. 4, jedoch für ein reduziertes Muster dichten Verkehrs ohne den Bereich "sich bewegender breiter Staus" und
- Fig. 6
- eine schematische Darstellung entsprechend Fig. 5, jedoch für ein weiter reduziertes Muster dichten Verkehrs ohne den Bereich "gestauchten synchronisierten Verkehrs".
Claims (11)
- Verfahren zur Bestimmung des Verkehrszustands in einem Verkehrsnetz mit einer oder mehreren effektiven Engstellen, insbesondere in einem Straßenverkehrsnetz, bei demder Verkehrszustand unter Berücksichtigung von aufgenommenen Verkehrsdaten in mehrere Zustandsphasen klassifiziert wird, die mindestens die Zustandsphasen "freier Verkehr", "synchronisierter Verkehr" und "sich bewegende breite Staus" umfassen undder Verkehrszustand stromaufwärts einer jeweiligen effektiven Engstelle des Verkehrsnetzes, wenn eine bei dieser fixierte Flanke (FS,F) zwischen stromabwärtigem freiem Verkehr (BF) und stromaufwärtigem synchronisiertem Verkehr (BS) erkannt wird, als ein für die jeweilige effektive Engstelle repräsentatives Muster dichten Verkehrs klassifiziert wird, das einen oder mehrere verschiedene, stromaufwärts aufeinanderfolgende Bereiche (BS, BGS, BSt) unterschiedlicher Zustandsphasenzusammensetzung und ein zugehöriges Profil der für die Zustandsphasenermittlung berücksichtigten Verkehrsparameter beinhaltet,durch ein oder mehrere sich im Verkehr mitbewegende Fahrzeuge FCD-Verkehrsdaten, die eine Information über den Ort und die Geschwindigkeit des Fahrzeugs umfassen, in zeitlichem Abstand aufgenommen werden undaus den für einen jeweiligen Streckenabschnitt aufgenommenen FCD-Verkehrsdaten festgestellt wird, ob eine effektive Engstelle vorliegt, und bejahendenfalls ein zu den aktuellen FCD-Verkehrsdaten passendes Muster dichten Verkehrs als aktuell vorliegendes Muster dichten Verkehrs an der effektiven Engstelle bestimmt wird.
- Verfahren nach Anspruch 1, weiter
dadurch gekennzeichnet, dass
anhand der aufgenommenen FCD-Verkehrsdaten festgestellt wird, ob ein Bereich "sich bewegender breiter Staus" noch den stromaufwärtigen Teil eines erkannten Musters dichten Verkehrs bildet oder sich davon stromaufwärts entfernt hat. - Verfahren nach Anspruch 1 oder 2, weiter
dadurch gekennzeichnet, dass
anhand der FCD-Verkehrsdaten festgestellt wird, ob die Fahrzeuggeschwindigkeit stromabwärts eines Musters dichten Verkehrs von einem Geschwindigkeitswert, der niedriger als ein für freien Verkehr repräsentativer Geschwindigkeitswert ist, wieder ansteigt und einen für einen Phasenübergang von synchronisiertem zu freiem Verkehr repräsentativen Schwellwert überschreitet und ob in diesem Fall der Ort des Geschwindigkeitsanstiegs hinter einem Lokalisierungsort einer zugehörigen Streckentopografieänderung liegt, woraus dann auf eine zufahrtartige effektive Engstelle geschlossen wird. - Verfahren nach einem der Ansprüche 1 bis 3, weiter
dadurch gekennzeichnet, dass
anhand der FCD-Verkehrsdaten festgestellt wird, ob die Fahrzeuggeschwindigkeit stromabwärts eines Musters dichten Verkehrs von einem Geschwindigkeitswert, der niedriger als ein für freien Verkehr repräsentativer Geschwindigkeitswert ist, wieder ansteigt und einen für einen Phasenübergang von synchronisiertem zu freiem Verkehr repräsentativen Schwellwert überschreitet und ob in diesem Fall der Ort des Geschwindigkeitsanstiegs vor einem Lokalisierungsort einer zugehörigen Streckentopografieänderung liegt, woraus dann auf eine abfahrtartige effektive Engstelle geschlossen wird. - Verfahren nach einem der Ansprüche 1 bis 4, weiter
dadurch gekennzeichnet, dass
anhand der FCD-Verkehrsdaten auf das Vorliegen einer nicht durch die Streckentopografie bedingten effektiven Engstelle geschlossen wird, wenn ein Muster dichten Verkehrs erkannt wurde und die mittlere Fahrzeuggeschwindigkeit nach Passieren des Musters dichten Verkehrs wieder ansteigt und einen zugehörigen vorgegebenen Schwellwert überschreitet und der Ort des Geschwindigkeitsanstiegs außerhalb der Umgebung entsprechender verzeichneter Streckentopografiemerkmale liegt. - Verfahren nach einem der Ansprüche 1 bis 5, weiter
dadurch gekennzeichnet, dass
auf das Vorliegen eines übergreifenden Musters dichten Verkehrs geschlossen wird, wenn das FCD-Geschwindigkeitsprofil einen sich stromabwärts über den Ort einer effektiven Engstelle hinaus erstreckenden Bereich synchronisierten Verkehrs oder gestauchten synchronisierten Verkehrs anzeigt. - Verfahren nach einem der Ansprüche 1 bis 6, weiter
dadurch gekennzeichnet, dass
der Ort der Grenze (FSt,GS) zwischen einem Bereich "sich bewegender breiter Staus" und einem Bereich "gestauchten synchronisierten Verkehrs" in einem Muster dichten Verkehrs dadurch bestimmt wird, dass das FCD-Geschwindigkeitsprofil ab diesem Ort zu einem Profil übergeht, bei dem starke, kurzzeitige Geschwindigkeitsreduktionen mit demgegenüber längeren Zeiträumen abwechseln, in denen die Geschwindigkeit in einem niedrigen Geschwindigkeitsbereich liegt. - Verfahren nach einem der Ansprüche 1 bis 7, weiter
dadurch gekennzeichnet, dass
der Ort der Grenze (FGS,S) zwischen einem Bereich "gestauchten synchronisierten Verkehrs" und einem Bereich "synchronisierten Verkehrs" in einem Muster dichten Verkehrs dadurch bestimmt wird, dass das FCD-Geschwindigkeitsprofil ab diesem Ort zu einem Profil übergeht, bei dem die mittlere Fahrzeuggeschwindigkeit zwischen einer vorgegebenen Minimalgeschwindigkeit für synchronisierten Verkehr und einer vorgegebenen Minimalgeschwindigkeit für freien Verkehr liegt. - Verfahren nach einem der Ansprüche 1 bis 8, weiter
dadurch gekennzeichnet, dass
der Ort der Grenze (FF,S) zwischen einem Bereich "freien Verkehrs" und einem Bereich "synchronisierten Verkehrs" eines Musters dichten Verkehrs dadurch bestimmt wird, dass ab dort das FCD-Geschwindigkeitsprofil in ein Profil übergeht, bei dem die Geschwindigkeit unter einen vorgegebenen Minimalgeschwindigkeitswert für freien Verkehr absinkt und über einem vorgegebenen Minimalgeschwindigkeitswert für synchronisierten Verkehr bleibt. - Verfahren nach einem der Ansprüche 1 bis 9, weiter
dadurch gekennzeichnet, dass
die Verkehrsstärke (qj) für eine jeweilige Streckenkante (j) des Verkehrsnetzes anhand einer für die Bereiche "freier Verkehr", "synchronisierter Verkehr" und "gestauchter synchronisierter Verkehr" unterschiedlich vorgegebenen Funktion in Abhängigkeit von Reisezeiten (ttr (j)) und Abständen (ΔL) bestimmt wird, die sich aus den FCD-Verkehrsdaten für das Befahren der betreffenden Streckenkante (j) durch FCD-Fahrzeuge ergeben. - Verfahren nach einem der Ansprüche 1 bis 10, weiter
dadurch gekennzeichnet, dass die Verkehrsstärke (qin (j)) von in einen Staubereich hineinfahrenden Fahrzeugen aus der Differenz der Reisezeit (Δttr (j)) und der Differenz der Fahrtzeit (Δt(j)) von nacheinander die gleiche Streckenkante (j) befahrenden FCD-Fahrzeugen bestimmt wird.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE10036789A DE10036789A1 (de) | 2000-07-28 | 2000-07-28 | Verfahren zur Bestimmung des Verkehrszustands in einem Verkehrsnetz mit effektiven Engstellen |
DE10036789 | 2000-07-28 |
Publications (3)
Publication Number | Publication Date |
---|---|
EP1176569A2 EP1176569A2 (de) | 2002-01-30 |
EP1176569A3 EP1176569A3 (de) | 2003-05-14 |
EP1176569B1 true EP1176569B1 (de) | 2005-12-14 |
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ID=7650520
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
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EP01117818A Expired - Lifetime EP1176569B1 (de) | 2000-07-28 | 2001-07-21 | Verfahren zur Bestimmung des Verkehrszustands in einem Verkehrsnetz mit effektiven Engstellen |
Country Status (5)
Country | Link |
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US (1) | US6522970B2 (de) |
EP (1) | EP1176569B1 (de) |
JP (1) | JP3578734B2 (de) |
DE (2) | DE10036789A1 (de) |
ES (1) | ES2253306T3 (de) |
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Family Cites Families (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
ATE182709T1 (de) * | 1995-04-28 | 1999-08-15 | Inform Inst Operations Res & M | Verfahren zur störungserkennung im strassenverkehr |
DE19526148C2 (de) * | 1995-07-07 | 1997-06-05 | Mannesmann Ag | Verfahren und System zur Prognose von Verkehrsströmen |
JP3435623B2 (ja) * | 1996-05-15 | 2003-08-11 | 株式会社日立製作所 | 交通流監視装置 |
EP0944890B1 (de) | 1996-12-16 | 2004-10-13 | ATX Europe GmbH | Verfahren zur vervollständigung und/oder verifizierung von den zustand eines verkehrsnetzes betreffenden daten; verkehrszentrale |
DE19754483A1 (de) | 1996-12-16 | 1998-06-18 | Mannesmann Ag | Verfahren zur Vervollständigung und/oder Verifizierung von den Zustand eines Verkehrsnetzes betreffenden Daten; Verkehrszentrale |
DE19737440A1 (de) * | 1997-02-14 | 1998-08-27 | Mannesmann Ag | Verfahren zur Bestimmung von Verkehrsdaten und Verkehrsinformationszentrale |
DE19725556A1 (de) | 1997-06-12 | 1998-12-24 | Mannesmann Ag | Verfahren und Vorrichtung zur Verkehrszustandsprognose |
EP0902405B1 (de) | 1997-09-11 | 2004-05-12 | Siemens Aktiengesellschaft | Verfahren zur Ermittlung von Verkehrsinformationen |
DE19753034A1 (de) * | 1997-11-18 | 1999-06-17 | Ddg Ges Fuer Verkehrsdaten Mbh | Verfahren zur Prognose eines den Zustand eines Systems repräsentierenden Parameters, insbesondere eines den Zustand eines Verkehrsnetzes repräsentierenden Verkehrsparameters und Vorrichtung zum Durchführen des Verfahrens |
DE19835979B4 (de) * | 1998-08-08 | 2005-01-05 | Daimlerchrysler Ag | Verfahren zur Verkehrszustandsüberwachung und Fahrzeugzuflußsteuerung in einem Straßenverkehrsnetz |
DE19944075C2 (de) * | 1999-09-14 | 2002-01-31 | Daimler Chrysler Ag | Verfahren zur Verkehrszustandsüberwachung für ein Verkehrsnetz mit effektiven Engstellen |
-
2000
- 2000-07-28 DE DE10036789A patent/DE10036789A1/de not_active Withdrawn
-
2001
- 2001-07-21 DE DE50108367T patent/DE50108367D1/de not_active Expired - Lifetime
- 2001-07-21 ES ES01117818T patent/ES2253306T3/es not_active Expired - Lifetime
- 2001-07-21 EP EP01117818A patent/EP1176569B1/de not_active Expired - Lifetime
- 2001-07-30 US US09/917,270 patent/US6522970B2/en not_active Expired - Fee Related
- 2001-07-30 JP JP2001230055A patent/JP3578734B2/ja not_active Expired - Fee Related
Cited By (5)
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CN103348395A (zh) * | 2011-02-03 | 2013-10-09 | 丰田自动车株式会社 | 交通拥堵检测设备和车辆控制设备 |
CN103348395B (zh) * | 2011-02-03 | 2015-06-17 | 丰田自动车株式会社 | 交通拥堵检测设备和车辆控制设备 |
CN102622883A (zh) * | 2012-03-21 | 2012-08-01 | 北京世纪高通科技有限公司 | 判定交通事件解除的方法及装置 |
CN103473928A (zh) * | 2013-09-24 | 2013-12-25 | 重庆大学 | 基于rfid技术的城市交通拥堵判别方法 |
CN103473928B (zh) * | 2013-09-24 | 2015-09-16 | 重庆大学 | 基于rfid技术的城市交通拥堵判别方法 |
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US6522970B2 (en) | 2003-02-18 |
EP1176569A2 (de) | 2002-01-30 |
EP1176569A3 (de) | 2003-05-14 |
ES2253306T3 (es) | 2006-06-01 |
DE50108367D1 (de) | 2006-01-19 |
DE10036789A1 (de) | 2002-02-07 |
JP3578734B2 (ja) | 2004-10-20 |
JP2002117481A (ja) | 2002-04-19 |
US20020045985A1 (en) | 2002-04-18 |
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