Traffic Flow Dynamics: Data, Models and Simulation
By Martin Treiber, Arne Kesting. 2012
803 citations recorded by the source corpus.
Subfields: Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/06b137224ee3fec786182965e5edcbbc5414fb72
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Mohammad Saifuzzaman
- Arne Kesting
- Zuduo Zheng
- Yinhai Wang
- Meixin Zhu
- X. Wang
- Martin Treiber
- Marcello Montanino
Citations in the corpus
- Microscopic Calibration and Validation of Car-Following Models – A Systematic Approach (2013, methodology): “In principle, this program can be performed with any car-following model specifying the acceleration, either directly or indirectly in terms of speed di ff erences [7].”
- Incorporating human-factors in car-following models : a review of recent developments and research needs (2014, methodology): “Finally, a list of human factors based on the literature (e.g., Hamdar, 2012;Treiber and Kesting, 2013) is presented here: a. Socio-economic characteristics (e.g., age, gender, income, education, family structure) b. Reaction time c. Estimation errors: Spacing and speeds can only be estimated with…”
- Traffic state estimation on highway: A comprehensive survey (2017, methodology): “For systematic introduction to state-of-art of traffic flow and its theory, see, for example, Treiber and Kesting (2013) and Garavello et al. (2016).”
- Capturing Car-Following Behaviors by Deep Learning (2018, methodology): “Constrained by length limit, we only address the frequently mentioned intelligent driver model (IDM) [28]–[30] as an Fig.”
- A mixed traffic capacity analysis and lane management model for connected automated vehicles: A Markov chain method (2017, methodology): “This analysis follows a simplified macroscopic analysis paradigm ( Kesting and Treiber, 2013 ) that considers the throughput of multiple lanes of the same type as a multiple of the corresponding single lane throughput.”
- Trajectory data reconstruction and simulation-based validation against macroscopic traffic patterns (2015, background): “The concept of integrity of the inter-vehicle spacing has been also referred as ‘‘platoon consistency’’ (Punzo et al., 2011; Treiber and Kesting, 2013).”
- Human-Like Autonomous Car-Following Model with Deep Reinforcement Learning (2018, methodology): “The Genetic Algorithm Toolbox in MATLAB ® was used to calibrate the IDM in this study.”