Results 281 to 290 of about 211,987 (323)

Microscopic Parameters and Macroscopic Features of Traffic Flow

2003
A major task of traffic modelling is to investigate how traffic parameters on the microscopic scale, such as reaction time and inertia, influence the macroscopic flow phenomena. In this article, we present a transformation that relates microscopic car-following models to their macroscopic continuum counterpart. For a specific type, the optimal-velocity
Peter Berg, Eddie Wilson
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Microscopic Modeling of Driver Behavior in Uninterrupted Traffic Flow

Journal of Transportation Engineering, 2004
In this paper a comprehensive microscopic model of driver behavior in uninterrupted traffic flow is developed. The model aims to explain or predict the actions of a driver in a variety of driving scenarios ranging from free flow conditions on wide roads to forced flow conditions on narrow two-way roads.
Partha Chakroborty, Saurabh Agrawal, Kyatham Vasishtha   +2 more
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Calibration and Validation of Microscopic Models of Traffic Flow

Transportation Research Record: Journal of the Transportation Research Board, 2005
Because microscopic models are heavily used in applications, the appropriate calibration and validation of these models have been a recent concern. The contribution of this paper is to compare some of these models by calibrating and validating them with data from double loop detectors on a multilane freeway.
Elmar Brockfeld, Reinhart D. Kühne, Peter Wagner   +2 more
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Network traffic flow theory: Microscopic simulation experiments on supercomputers

Transportation Research Part A: General, 1990
Abstract Microscopic simulation experiments are conducted to investigate traffic behavior in urban networks and support the development of network-level traffic flow relations. Previous use of microscopic traffic simulation has been limited by computational resources to small networks.
Hani S. Mahmassani, R. Jayakrishnan, Robert Herman   +2 more
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Metastable states in a microscopic model of traffic flow

Physical Review E, 1997
It is a well known fact that metastable states of very high throughput and hysteresis effects exist in traffic flow, which the simple cellular automaton model of traffic flow and its continuous generalization fail to reproduce. It is shown that the model can be generalized to give a one-parametric family of models, a part of which reproduces the ...
Krauß, S., Wagner, P., Gawron, C.
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Traffic Flow Theory Microscopic Density Characteristics

2023
Sameer, Mostafa, Ratrout, Nedal
openaire   +1 more source

New Behavioral Model for Microscopic Freeway Traffic-Flow Simulation

Transportation Research Record: Journal of the Transportation Research Board, 2008
A new behavioral model for microscopic freeway traffic-flow simulation is presented. As a key feature, the model is subdivided into small modules, each dealing with one distinct problem or intention of the current driving task. The modules operate independently of each other.
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Microscopic Traffic Flow Models for Spatiotemporal Congested Patterns

2004
Three-phase traffic theory, which is a qualitative theory, explains the main empirical features of phase transitions in traffic and of spatiotemporal congested patterns without any mathematical traffic flow models (Chaps. 4–8). This shows a general character of these theoretical results that should be regardless of methods and approaches of ...
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Microscopic state evolution model of mixed traffic flow based on potential field theory

Physica A: Statistical Mechanics and its Applications, 2022
Lin-heng Li, Can Wang, Ying Zhang, Xu Qu, Rui Li, Zhijun Chen, Bin Ran   +6 more
semanticscholar   +1 more source

Microscopic traffic flow modeling method based on driving style

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Micro-traffic flow modeling is essential for simulating diverse driving behaviors and developing virtual traffic scenarios for intelligent driving platforms. Integrating driver style characteristics into these simulations enhances the realism of road condition representations, providing critical environmental insights.
Rui He, Yupeng Chang, Sumin Zhang, Zhiwei Meng, Xiaosong Jin, Ri Bai, Kuo Li   +6 more
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