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Measuring and Modelling of the Traffic Flow at Microscopic Level
The traffic flow theory is dealing with the better understandingof the traffic flow and its improvement. Most often, the researchedsubject was been the road traffic.
Rudi Čop, Milan Batista
doaj +3 more sources
A Microscopic CA Model of Traffic Flow?
Cellular automaton (CA) models of traffic flow are typically constructed to reproduce macroscopic features of traffic flow. Here, a few thoughts based on real car-following data are presented that show how to construct a discrete time/discrete space microscopic model of traffic flow.
Wagner, Peter, Rummel, Johannes
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A merging model for motorway traffic [PDF]
Motorway merging has long been regarded as a major source of conflicts and congestion on motorways. Traditional studies of merging behaviour are based on gap acceptance models developed mainly for urban intersections, which tend to oversimplify the very ...
Wang, Jiao
core +9 more sources
Towards a benchmarking of Microscopic Traffic Flow Models [PDF]
Several microscopic traffic models have been tested with a publicly available data set. The task was to predict the travel times between sever observers along a one-lane rural road, given as boundary conditions the flow into this road and the flow out of it.
Brockfeld, Elmar +3 more
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Calibration and Validation of Microscopic Traffic Flow Models [PDF]
The aim of this paper is to present recent progress in calibrating ten microscopic traffic flow models. The models have been tested using data collected via DGPS-equipped cars (Differential Global Positioning System) on a test track in Japan. To calibrate the models, the data of a leading car are fed into the model under consideration and the model is ...
Brockfeld, Elmar, Wagner, Peter
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Microscopic and macroscopic traffic flow models including random accidents [PDF]
We introduce microscopic and macroscopic stochastic traffic models including traffic accidents. The microscopic model is based on a Follow-the-Leader approach whereas the macroscopic model is described by a scalar conservation law with space dependent flux function. Accidents are introduced as interruptions of a deterministic evolution and are directly
Göttlich, Simone, Schillinger, Thomas
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Short-term Traffic Flow Prediction Based on Deep Learning Model [PDF]
In order to improve the prediction accuracy of the intelligent transportation system and provide effective support for the dynamic control and guidance of the highway management department, with the goal of minimizing the short-term traffic flow ...
Ren Nv Er +3 more
doaj +1 more source
Analysis and comparison of traffic flow models: a new hybrid traffic flow model vs benchmark models
Background This paper compares a hybrid traffic flow model with benchmark macroscopic and microscopic models. The proposed hybrid traffic flow model may be applied considering a mixed traffic flow and is based on the combination of the macroscopic cell ...
Facundo Storani +3 more
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A Hybrid Submicroscopic-Microscopic Traffic Flow Simulation Framework
Current lane-based microscopic traffic simulators combine car-following and lane changing logic to describe the (often discrete) lateral vehicle motion on multi-lane road segments. However, the simulated lateral trajectories are physically unplausible and inside-lane behavior such as lane-keeping and curve negotiation cannot be modelled.
Freddy Antony Mullakkal Babu +4 more
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Towards Benchmarking Microscopic Traffic Flow Models [PDF]
Brockfeld, Elmar +2 more
openaire +2 more sources

