Abstract: The invention relates to a method for actuating a traffic-adaptive assistance system in a host vehicle, using speed-related and/or distance-related variables of the vehicle and of a preceding vehicle, to control acceleration or deceleration of the vehicle. If the actual time interval or the actual distance between the vehicle and the preceding vehicle is greater than a predefinable respective lower limiting value and smaller than a predefinable respective upper limiting value the assistance system is actuated without regard to an otherwise applicable target time or distance time interval.

Abstract: The invention relates to a method for actuating a traffic-adaptive assistance system in a host vehicle, using speed-related and/or distance-related variables of the vehicle and of a preceding vehicle, to control acceleration or deceleration of the vehicle. If the actual time interval or the actual distance between the vehicle and the preceding vehicle is greater than a predefinable respective lower limiting value and smaller than a predefinable respective upper limiting value the assistance system is actuated without regard to an otherwise applicable target time or distance time interval.

Abstract: In a method for monitoring traffic conditions in a traffic network with effective bottlenecks, the traffic state is classified, taking account of recorded measured traffic data for one or more traffic parameters, including information on the traffic intensity or the average vehicle speed, into in each case one of a plurality of state phases which comprise at least the state phases of free traffic and synchronized traffic. In the case of an edge at an effective bottleneck, between downstream free traffic and upstream synchronized traffic, the traffic state upstream thereof is classified as a pattern, representative of the respective bottleneck, of dense traffic which includes one or more different consecutive upstream, of different state phase composition; and an associated profile of the traffic parameters is taken into account for the state phase determination.

Abstract: In a method for monitoring and controlling traffic states in a road traffic system current or predicted traffic states are determined for one or more points and a distinction is made between the three types of traffic states: free-flowing traffic, slow-moving traffic and stationary traffic. Vehicle inflow into the traffic system is then controlled as a function of the detected traffic states. The state monitoring method is configured to detect phase transitions between free-flowing and slow-moving traffic and/or stationary traffic states, which can be detected or predicted by means of specified criteria. Furthermore, according to the invention the vehicle inflow into the monitored traffic system section is controlled as a function of detected phase transitions between free-flowing and slow-moving traffic.

Abstract: A method for determining the traffic state in a traffic network with effective bottlenecks with a classification at least into the “freely flowing traffic”, “synchronized traffic” and “moving widespread congestion” state phases and into patterns of dense traffic upstream of effective bottlenecks. FCD traffic data which includes information relating to the location and the speed of the vehicle is recorded at time intervals for a respective route section, and by reference to the information it is determined whether an effective bottleneck is present. If this is the case, from the current FCD traffic data, a pattern of dense traffic, which fits it, is continuously determined as a currently present pattern of dense traffic.

Abstract: A method for determining the traffic situation is based on traffic data which are obtained from reporting vehicles moving in the traffic, for a traffic network with traffic-controlled network nodes and roadway sections connecting them. Traffic data indicative of travel times on the roadway sections are obtained by reporting vehicles moving in the traffic, and are used to determine travel times on a roadway-section-specific basis. The mean number of vehicles in the queue, the mean number of vehicles, the mean vehicle speed outside the queue, the mean waiting time in the queue and/or the mean vehicle density outside the queue are determined from these travel times for the respective roadway section.

Abstract: A method for determining the traffic state in a traffic network with effective bottlenecks with a classification at least into the “freely flowing traffic”, “synchronized traffic” and “moving widespread congestion” state phases and into patterns of dense traffic upstream of effective bottlenecks. FCD traffic data which includes information relating to the location and the speed of the vehicle is recorded at time intervals for a respective route section, and by reference to the information it is determined whether an effective bottleneck is present. If this is the case, from the current FCD traffic data, a pattern of dense traffic, which fits it, is continuously determined as a currently present pattern of dense traffic.

Abstract: A method for determining the traffic situation is based on traffic data which are obtained from reporting vehicles moving in the traffic, for a traffic network with traffic-controlled network nodes and roadway sections connecting them. Traffic data indicative of travel times on the roadway sections are obtained by reporting vehicles moving in the traffic, and are used to determine travel times on a roadway-section-specific basis. The mean number of vehicles in the queue, the mean number of vehicles, the mean vehicle speed outside the queue, the mean waiting time in the queue and/or the mean vehicle density outside the queue are determined from these travel times for the respective roadway section.

Abstract: A method and a device for providing traffic information for a given vehicle in a road network whereby, starting with a given starting location and starting time, current and forecast traffic data are determined at a traffic center and prepared in such fashion that they can be transmitted to a given vehicle. Traffic data present at the traffic center, which include at least the current and forecast functional values of a traffic-dependent cost function for the individual route paths, is used to calculate, as a function of the starting location and the starting time, a cost function optimized route to each route path. A corresponding arrival time is then determined to each route path. The cost function value that belongs to each determined arrival time is then selected. The cost function values thus selected are prepared, if necessary, with additional traffic data as traffic information that can be transmitted.

Abstract: In a method for automatically monitoring traffic, traffic data are recorded at several measuring points of the traffic network. The time-dependent positions of the upstream back-up flank and of the downstream back-up flank are estimated continuously according to characteristic relationships which take into account the flow and the density of the traffic in the back-up, the point in time at which the upstream back-up flank passes a respective first measuring point, the point in time at which the downstream back-up flank passes this measuring point as well as the flow and the average vehicle speed at this first as well as at a second measuring point which is situated upstream of the upstream back-up flank.