Microscopic Modeling of Human and Automated Driving: Towards Traffic-Adaptive Cruise Control (9999)
The thesis is composed of two main parts. The first part deals with a microscopic traffic flow theory. Models describing the individual acceleration, deceleration and lane-changing behavior are...
Microscopic Modeling of Human and Automated Driving: Towards Traffic-Adaptive Cruise Control (9999)
The thesis is composed of two main parts. The first part deals with a microscopic traffic flow theory. Models describing the individual acceleration, deceleration and lane-changing behavior are...
Reconstructing the Traffic State by Fusion of Heterogeneous Data (2009)
Treiber, Martin, Kesting, Arne, Wilson, R. Eddie
We present an advanced interpolation method for estimating smooth spatiotemporal profiles for local highway traffic variables such as flow, speed and density. The method is based on stationary...
Theoretical vs. Empirical Classification and Prediction of Congested Traffic States (2009)
Helbing, Dirk, Treiber, Martin, Kesting, Arne, Schönhof, Martin
Starting from the instability diagram of a traffic flow model, we derive conditions for the occurrence of congested traffic states, their appearance, their spreading in space and time, and the...
Agents for Traffic Simulation (2008)
Kesting, Arne, Treiber, Martin, Helbing, Dirk
Vehicular traffic is a classical example of a multi-agent system in which autonomous drivers operate in a shared environment. The article provides an overview of the state-of-the-art in microscopic...
Estimating Acceleration and Lane-Changing Dynamics Based on NGSIM Trajectory Data (2008)
Thiemann, Christian, Treiber, Martin, Kesting, Arne
The NGSIM trajectory data sets provide longitudinal and lateral positional information for all vehicles in certain spatiotemporal regions. Velocity and acceleration information cannot be extracted...
Calibrating Car-Following Models using Trajectory Data: Methodological Study (2008)
Kesting, Arne, Treiber, Martin
The car-following behavior of individual drivers in real city traffic is studied on the basis of (publicly available) trajectory datasets recorded by a vehicle equipped with an radar sensor. By means...
Schönhof, Martin, Treiber, Martin, Kesting, Arne, Helbing, Dirk
In this paper, a minimalist, completely distributed freeway traffic information system is introduced. It involves an autonomous, vehicle-based jam front detection, the information transmission via...
Jam-avoiding adaptive cruise control (ACC) and its impact on traffic dynamics (2006)
Kesting, Arne, Treiber, Martin, Schönhof, Martin, Kranke, Florian, Helbing, Dirk
Adaptive-Cruise Control (ACC) automatically accelerates or decelerates a vehicle to maintain a selected time gap, to reach a desired velocity, or to prevent a rear-end collision. To this end, the ACC...
Treiber, Martin, Kesting, Arne, Helbing, Dirk
We investigate the adaptation of the time headways in car-following models as a function of the local velocity variance, which is a measure of the inhomogeneity of traffic flow. We apply this...
Delays, Inaccuracies and Anticipation in Microscopic Traffic Models (2004)
Treiber, Martin, Kesting, Arne, Helbing, Dirk
We generalize a wide class of time-continuous microscopic traffic models to include essential aspects of driver behaviour not captured by these models. Specifically, we consider (i) finite reaction...
Microscopic Modeling of Human and Automated Driving: Towards Traffic-Adaptive Cruise Control
The thesis is composed of two main parts. The first part deals with a microscopic traffic flow theory. Models describing the individual acceleration, deceleration and lane-changing behavior are...