Comparative evaluation of microscopic car-following behavior
By Sakda Panwai, Hussein Dia. IEEE transactions on intelligent transportation systems (Print), 2005
342 citations recorded by the source corpus.
Subfields: Building and Construction, Control and Systems Engineering, Transportation
View Paper: https://www.semanticscholar.org/paper/241da26da6530c2cf2ecc59060000e2a902201b6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Building and Construction
- Dirk Helbing
- Arne Kesting
- Martin Treiber
- Mohammad Saifuzzaman
- Saudi Arabia
- Yinhai Wang
- Nedal T. Ratrout
- Zuduo Zheng
In Control and Systems Engineering
- Arne Kesting
- Martin Treiber
- Mohammad Saifuzzaman
- Dirk Helbing
- Zuduo Zheng
- Yinhai Wang
- Meixin Zhu
- X. Wang
In Transportation
- Arne Kesting
- Martin Treiber
- Dirk Helbing
- Mohammad Saifuzzaman
- Zuduo Zheng
- Yinhai Wang
- Meixin Zhu
- X. Wang
Citations in the corpus
- Enhanced intelligent driver model to access the impact of driving strategies on traffic capacity (2009, methodology): “This question has recently been considered with different methods in the literature [Brockfeld et al., 2004; Ossen & Hoogendoorn, 2005; Punzo & Simonelli, 2005; Panwai & Dia, 2005; Kesting & Treiber, 2008a].”
- Capturing Car-Following Behaviors by Deep Learning (2018, background): “comparison algorithms during the last 50 years [6], [7].”
- Incorporating human-factors in car-following models : a review of recent developments and research needs (2014, background): “Similar conclusions can be drawn from the reviews by Olstam and Tapani (2004), Panwai and Dia (2005), and Toledo (2007).”
- Calibrating Car-Following Models by Using Trajectory Data (2008, background): “Because of their high resolution and quality, these data sets have been considered in the literature (5, 7, 8).”
- Human-Like Autonomous Car-Following Model with Deep Reinforcement Learning (2018, background): “He et al. ( 27 ) proposed a simple nonparametric car-following model with k-nearest neighbor, which outputs the average of the most similar cases, i.e., the most likely driving behavior under the current circumstance.”
- A COMPARATIVE ANALYSIS OF CURRENTLY USED MICROSCOPIC AND MACROSCOPIC TRAFFIC SIMULATION SOFTWARE (2009, methodology): “Panwai and Dia [35] AIMSUN, PARAMICS and VISSIM They evaluated car-following behavior in the mentioned traffic simulators and found lower error values for the Gipps-based models implemented in AIMSUN and similar error values for the psychophysical spacing models used in VISSIM and PARAMICS.”
- Mobility models for vehicular ad hoc networks: a survey and taxonomy (2009, neutral): “We refer the interested reader to [47].”