World's Best Scientists 2026 revealed!
Martin Treiber

Martin Treiber

D-Index & Metrics

Engineering and Technology

D-Index
60
Citations
22292
World Ranking
2122
National Ranking
62

Overview

Martin Treiber is affiliated with TU Dresden in Germany and has a research focus primarily within the field of Engineering. Their work spans multiple subfields, including Control and Systems Engineering, Automotive Engineering, Transportation, Building and Construction, and Ocean Engineering.

The scientist has contributed extensively to topics such as Traffic control and management, Transportation Planning and Optimization, Autonomous Vehicle Technology and Safety, Traffic Prediction and Management Techniques, Evacuation and Crowd Dynamics, Traffic and Road Safety, and Vehicle emissions and performance.

Their recent published papers include the following:
"Empirical and experimental study on the growth pattern of traffic oscillations upstream of fixed bottleneck and model test" (2022, Transportation Research Part C Emerging Technologies), "Review of the cellular automata models for reproducing synchronized traffic flow" (2020, Transportmetrica A Transport Science), "Calibrating Wiedemann-99 Model Parameters to Trajectory Data of Mixed Vehicular Traffic" (2021, Transportation Research Record Journal of the Transportation Research Board), "Towards robust car-following based on deep reinforcement learning" (2024, Transportation Research Part C Emerging Technologies), and "Formulation and validation of a car-following model based on deep reinforcement learning" (2021, arXiv (Cornell University)).

The scientist frequently publishes in venues such as arXiv (Cornell University), Transportation Research Part C Emerging Technologies, Physica A Statistical Mechanics and its Applications, SSRN Electronic Journal, and Transportmetrica A Transport Science.

  • Ostap Okhrin
  • Ankit Anil Chaudhari
  • Venkatesan Kanagaraj
  • Junfang Tian
  • Shiteng Zheng

Frequent co-authors include Ostap Okhrin, Ankit Anil Chaudhari, Venkatesan Kanagaraj, Junfang Tian, and Shiteng Zheng.

Best Publications

  • Congested traffic states in empirical observations and microscopic simulations

    Martin Treiber;Ansgar Hennecke;Dirk Helbing

  • Traffic Flow Dynamics

    Martin Treiber;Arne Kesting

  • General Lane-Changing Model MOBIL for Car-Following Models

    Arne Kesting;Martin Treiber;Dirk Helbing

  • Enhanced intelligent driver model to access the impact of driving strategies on traffic capacity

    Arne Kesting;Martin Treiber;Dirk Helbing

  • Adaptive cruise control design for active congestion avoidance

    Arne Kesting;Martin Treiber;Martin Schönhof;Dirk Helbing

  • Delays, inaccuracies and anticipation in microscopic traffic models

    Martin Treiber;Arne Kesting;Dirk Helbing

  • Calibrating Car-Following Models by Using Trajectory Data: Methodological Study

    Arne Kesting;Martin Treiber

  • Traffic Flow Dynamics: Data, Models and Simulation

    Martin Treiber;Arne Kesting;Christian Thiemann

  • Estimating Acceleration and Lane-Changing Dynamics from Next Generation Simulation Trajectory Data

    Christian Thiemann;Martin Treiber;Arne Kesting

  • Derivation, properties, and simulation of a gas-kinetic-based, nonlocal traffic model

    Martin Treiber;Ansgar Hennecke;Dirk Helbing

  • Micro- and macro-simulation of freeway traffic

    D. Helbing;A. Hennecke;V. Shvetsov;M. Treiber

  • Gas-Kinetic-Based Traffic Model Explaining Observed Hysteretic Phase Transition

    Dirk Helbing;Martin Treiber

  • Phase Diagram of Traffic States in the Presence of Inhomogeneities

    Dirk Helbing;Dirk Helbing;Ansgar Hennecke;Martin Treiber

  • Reconstructing the spatio-temporal traffic dynamics from stationary detector data

    Martin Treiber;Dirk Helbing

  • MASTER: macroscopic traffic simulation based on a gas-kinetic, non-local traffic model

    Dirk Helbing;Ansgar Hennecke;Vladimir Shvetsov;Martin Treiber

  • Estimating Acceleration and Lane-Changing Dynamics Based on NGSIM Trajectory Data

    Christian Thiemann;Martin Treiber;Arne Kesting

  • Three-phase traffic theory and two-phase models with a fundamental diagram in the light of empirical stylized facts

    Martin Treiber;Arne Kesting;Dirk Helbing

  • Calibrating Car-Following Models using Trajectory Data: Methodological Study

    Arne Kesting;Martin Treiber

  • Memory effects in microscopic traffic models and wide scattering in flow-density data.

    Martin Treiber;Dirk Helbing

  • Understanding widely scattered traffic flows, the capacity drop, and platoons as effects of variance-driven time gaps.

    Martin Treiber;Arne Kesting;Dirk Helbing

  • Reconstructing the spatio-temporal traffic dynamics from stationary detector data; Cooperative Transportation Dynamics

    Martin Treiber;Dirk Helbing

Frequent Co-Authors

Arne Kesting
Arne Kesting TU Dresden
Dirk Helbing
Dirk Helbing ETH Zurich
Rui Jiang
Rui Jiang Beijing Jiaotong University
Hani S. Mahmassani
Hani S. Mahmassani Northwestern University
Serge P. Hoogendoorn
Serge P. Hoogendoorn Delft University of Technology
Meng Wang
Meng Wang TU Dresden
Winnie Daamen
Winnie Daamen Delft University of Technology
Katsuhiro Nishinari
Katsuhiro Nishinari University of Tokyo
Bart van Arem
Bart van Arem Delft University of Technology
Tamás Vicsek
Tamás Vicsek Eötvös Loránd University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Martin Treiber

Trending Scientists