High Speed Combined Micro/Macro Simulation of Traffic Flow

Flötteröd, Gunnar; Nagel, Kai

doi:10.1109/itsc.2007.4357782

Cited by 11 publications

(8 citation statements)

References 15 publications

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“…In [10] a combination of a microscopic simulation modeling the inter-vehicle interactions and a computationally less expensive macroscopic simulation applied to freeways is described. This allows a scalable, yet accurate investigation of traffic flow in large scale networks.…”

Section: Multi-resolution Simulationmentioning

confidence: 99%

Multi-resolution Traffic Simulation for Large-Scale High-Fidelity Evaluation of VANET Applications

Schiller

Dupius²,

Krajzewicz

et al. 2018

Lecture Notes in Mobility

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Abstract-This paper presents an approach for coupling traffic simulators of different resolutions in order to conduct both large scale and high fidelity virtual evaluations of Advanced Driver Assistance Systems based on Vehicular Adhoc Networks. The emphasis is put on the need for such an attempt to satisfy the constraint of performing simulations in real time. Both, the methods to accomplish this as well as the resulting performance are described.

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Section: Multi-resolution Simulationmentioning

confidence: 99%

Multi-resolution Traffic Simulation for Large-Scale High-Fidelity Evaluation of VANET Applications

Schiller

Dupius²,

Krajzewicz

et al. 2018

Lecture Notes in Mobility

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“…These static models are then used to plan traffic light signalling scenarios [8]. An advanced version of such a based static model is often put together in the form of a macro-simulation and is commonly used in large-scale transport planning [9], [10].…”

Section: A Urban Traffic Management and Controlmentioning

confidence: 99%

“…Macro-simulations on the other hand are commonly used in large-scale transport planning [18] and contain the information to model the whole urban environment at once [9], [10]. As such these models are carefully built from detailed city plans, historic traffic data, comprehensive driver surveys, and thorough analysis of the combination of all that data.…”

Section: B Micro Versus Macro Simulationmentioning

confidence: 99%

Adapting traffic simulation for traffic management: A neural network approach

Passow

Elizondo

Chiclana

et al. 2013

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)

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Abstract-Static models and simulations are commonly used in urban traffic management but none feature a dynamic element for near real-time traffic control. This work presents an artificial neural network forecaster methodology applied to traffic flow condition prediction. The spatially distributed architecture uses life-long learning with a novel adaptive Artificial Neural Network based filter to detect and remove outliers from training data. The system has been designed to support traffic engineers in their decision making to react to traffic conditions before they get out of control.We performed experiments using feed-forward backpropagation, cascade-forward back-propagation, radial basis, and generalized regression Artificial Neural Networks for this purpose. Test results on actual data collected from the city of Leicester, UK, confirm our approach to deliver suitable forecasts.

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“…Kinetic traffic flow theory is used for so called "microscopic", "macroscopic" or continues traffic flow models. Kinetic traffic flow theory is used on [5,[8][9][10] works. Equations of these models take different values to derive the same process.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Traffic Flow Dynamic Processes Using Discrete Model

Bogdevičius

Junevičius

2014

Journal of KONES. Powertrain and Transport

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Modelling the process of traffic flow was previously studied from different points of view and different mathematical methods where used to describe the same process. All authors have an agreement on basic traffic flow parameters like, traffic flow density, traffic flow rate or the average speed of traffic flow. Besides, a lot of different investigations into the use of traffic flow models to deal with various problems of engineering are carried out. A comparison of different continuum models has drawn that a number of scientific works were based on fluid dynamic theory and gas-kinetic traffic flow theory. The kinetic traffic flow theory is used in 'microscopic' or "macroscopic", traffic flow models. The kinetic traffic flow theory is used in Flötteröd G., Nagel K., Ging A., Li L., Li-qun X., Prigogine I., Herman R. works where various approaches to the similar method are discussed. The 'macroscopic' theory of traffic flows also can be developed as the hydrodynamic theory of fluids that was first introduced by Lighthill-Whitham and Richards's model. Plenty of traffic flow models are based on car-following theories supported by the analogues to Newton's equation for each individual vehicle interacting in a system of vehicles on the road. Different forms of the equation of motion give different versions of car-following models. This work presents research of traffic flow dynamic processes, as nonlinear dynamic system, by using a discrete model of traffic flow (DMTF). The main variables in DMTF are traffic flow density and speed. DMTF can be used to describe various traffic flow situations in the roads. The mathematical simulation of traffic flow is made when constant value of traffic flow speed and traffic flow rate is entered. Numerical results of traffic flow dynamics are obtained.

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High Speed Combined Micro/Macro Simulation of Traffic Flow

Cited by 11 publications

References 15 publications

Multi-resolution Traffic Simulation for Large-Scale High-Fidelity Evaluation of VANET Applications

Multi-resolution Traffic Simulation for Large-Scale High-Fidelity Evaluation of VANET Applications

Adapting traffic simulation for traffic management: A neural network approach

Investigation of Traffic Flow Dynamic Processes Using Discrete Model

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