M
Martin Treiber
Researcher at Dresden University of Technology
Publications - 192
Citations - 15776
Martin Treiber is an academic researcher from Dresden University of Technology. The author has contributed to research in topics: Traffic flow & Microscopic traffic flow model. The author has an hindex of 51, co-authored 186 publications receiving 12998 citations. Previous affiliations of Martin Treiber include ETH Zurich & University of Science and Technology of China.
Papers
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Journal ArticleDOI
Congested traffic states in empirical observations and microscopic simulations
TL;DR: It is shown that the results of the microscopic model can be understood by formulating the theoretical phase diagram for bottlenecks in a more general way, and a local drop of the road capacity induced by parameter variations has essentially the same effect as an on-ramp.
Journal ArticleDOI
General Lane-Changing Model MOBIL for Car-Following Models
TL;DR: A general model (minimizing overall braking induced by lane change, MOBIL) is proposed to derive lane-changing rules for discretionary and mandatory lane changes for a wide class of car-following models and allows one to vary the motivation for lane changing from purely egoistic to more cooperative driving behavior.
BookDOI
Traffic Flow Dynamics
Martin Treiber,Arne Kesting +1 more
TL;DR: This first comprehensive textbook of traffic theory explains advances in a novel and systematic way by addressing both microscopic and macroscopic models with a focus on traffic instabilities.
Journal ArticleDOI
Enhanced intelligent driver model to access the impact of driving strategies on traffic capacity
TL;DR: A new car-following model is proposed that also serves as the basis of an ACC implementation in real cars and eliminates the sometimes unrealistic behaviour of the IDM in cut-in situations with ensuing small gaps that regularly are caused by lane changes of other vehicles in dense or congested traffic.
Book
Traffic Flow Dynamics: Data, Models and Simulation
TL;DR: This instructional guide describes the use of simulation and mathematical models in determining traffic flow dynamics and presents various mathematical models including: continuity equations, the Lighthill–Whitham–Richards Model, macroscopic models, car-following models, lane-changing models, stability analysis, and phase diagrams.