Results 31 to 40 of about 73,898 (290)

Generalized velocity–density model based on microscopic traffic simulation

Transport, 2018
In case of the Intelligent Driver Model (IDM) the actual Velocity–Density law V(D) applied by this dynamic system is not defined, only the dynamic behaviour of the vehicles/drivers is determined.
Oussama Derbel, Tamás Péter, Benjamin Mourllion, Michel Basset   +3 more
doaj   +1 more source

From Drivers to Athletes -- Modeling and Simulating Cross-Country Sking Marathons

, 2014
Traffic flow of athletes in classic-style cross-country ski marathons, with the Swedish Vasaloppet as prominent example, represents a non-vehicular system of driven particles with many properties of vehicular traffic flow such as unidirectional movement,
Germ, Ralph, Kesting, Arne, Treiber, Martin   +2 more
core   +1 more source

The Space-Based Car-Following Model: Development and Application for Managed Motorway System Safety Evaluation

Future Transportation, 2021
Traffic safety studies need more than what the current micro-simulation models can provide, as they presume that all drivers exhibit safe behaviors. Therefore, existing micro-simulation models are inadequate to evaluate the safety impacts of managed ...
Kaveh Bevrani, Edward Chung, Pauline Teo
doaj   +1 more source

A Microscopic On-Ramp Model Based on Macroscopic Network Flows

Applied Sciences
While macroscopic traffic flow models adopt a fluid dynamic description of traffic, microscopic traffic flow models describe the dynamics of individual vehicles.
Niklas Kolbe, Moritz Berghaus, Eszter Kalló, Michael Herty, Markus Oeser   +4 more
doaj   +1 more source

Implicit Methods for Equation-Free Analysis: Convergence Results and Analysis of Emergent Waves in Microscopic Traffic Models [PDF]

, 2014
We introduce a general formulation for an implicit equation-free method in the setting of slow-fast systems. First, we give a rigorous convergence result for equation-free analysis showing that the implicitly defined coarse-level time stepper converges ...
Berkemer, Rainer, Kawamoto, Atsushi, Marschler, Christian, Sieber, Jan, Starke, Jens   +4 more
core   +2 more sources

Human behavior as origin of traffic phases

, 2001
It is shown that the desire for smooth and comfortable driving is directly responsible for the occurrence of complex spatio-temporal structures (``synchronized traffic'') in highway traffic. This desire goes beyond the avoidance of accidents which so far
Andreas Schadschneider, B.S. Kerner, B.S. Kerner, B.S. Kerner, B.S. Kerner, C. Appert, D. Chowdhury, D. Helbing, F.L. Hall, H.Y. Lee, K. Nagel, L. Neubert, Ludger Santen, M. Rickert, Michael Schreckenberg, P. Nelson, R. Barlovic, V. Popkov, W. Knospe, Wolfgang Knospe   +19 more
core   +1 more source

A systematic review of machine learning-based microscopic traffic flow models and simulations

Communications in Transportation Research
Microscopic traffic flow models and simulations are crucial for capturing vehicle interactions and analyzing traffic. They can provide critical insights for transport planning, management, and operation through scenario testing and optimization. With the
Davies Rowan, Haitao He, Fang Hui, Ali Yasir, Quddus Mohammed   +4 more
doaj   +1 more source

Congested Traffic States in Empirical Observations and Microscopic Simulations

, 2000
We present data from several German freeways showing different kinds of congested traffic forming near road inhomogeneities, specifically lane closings, intersections, or uphill gradients. The states are localized or extended, homogeneous or oscillating.
A. Hennecke, A. Reuschel, Ansgar Hennecke, B. Persaud, B. S. Kerner, B. Tilch, B.S. Kerner, B.S. Kerner, B.S. Kerner, B.S. Kerner, B.S. Kerner, B.S. Kerner, B.S. Kerner, C. F. Daganzo, C.F. Daganzo, D. Helbing, D. Helbing, D. Helbing, D. Helbing, D. Helbing, D. Helbing, D. Helbing, D.C. Gazis, D.C. Gazis, D.E. Wolf, Dirk Helbing, E. Ben-Naim, F.L. Hall, G.F. Newell, H.Y. Lee, H.Y. Lee, J. Treiterer, K. Nagel, L.C. Edie, L.D. Howe, M. Bando, M. Cremer, M. Cremer, M. Muramatsu, M. Treiber, M. Treiber, M. Treiber, M.J. Lighthill, Martin Treiber, O. Biham, P.G. Gipps, P.G. Gipps, R. Barlovic, R. Herman, R.D. Kühne, R.E. Chandler, S. Krauß, S. Smulders, T. Nagatani, V. Shvetsov   +54 more
core   +4 more sources

Autonomous Vehicle Decision and Control through Reinforcement Learning with Traffic Flow Randomization

Machines
Most of the current studies on autonomous vehicle decision-making and control based on reinforcement learning are conducted in simulated environments. The training and testing of these studies are carried out under the condition of rule-based microscopic
Yuan Lin, Antai Xie, Xiao Liu
doaj   +1 more source

Multi-Modal Traffic Simulation Calibration and Integration with Real-Time Hardware in Loop Simulator

SUMO Conference Proceedings, 2022
The ongoing research in intelligent transport systems and connected and automated vehicles, enabled by advancements in artificial intelligence, integrating traffic simulations has become an essential part of product/software development for the ...
Vikhyat Kalra, Punit J Tulpule, Jacob A. Isaman   +2 more
doaj   +1 more source