Results 171 to 180 of about 2,687 (216)
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Neural Agent Car-Following Models

IEEE Transactions on Intelligent Transportation Systems, 2007
This paper presents a car-following model that was developed using a neural network approach for mapping perceptions to actions. The model has a similar formulation to the desired spacing models that do not consider reaction time or attempt to explain the behavioral aspects of car following. The model's performance was evaluated based on field data and
Sakda Panwai, Hussein Dia
openaire   +6 more sources

Modeling oscillatory car following using deep reinforcement learning based car following models

2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2021
In this work, we use reinforcement learning (RL) to train a car following model for vehicle jerk. The learned model is specifically trained for car following in low-speed oscillatory driving conditions such as stop-and-go traffic typical in congested urban centers.
John Nguyen, Raphael E. Stern
openaire   +1 more source

An improved car-following model accounting for the preceding car’s taillight

Physica A: Statistical Mechanics and its Applications, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhang, Jian   +2 more
openaire   +2 more sources

Development of an emotional car-following model

17th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2014
This research effort proposes a new car-following model that includes the effects of emotion on driver behavior. The methodology used to investigate the effects of emotion on driver behavior has three main components: a psychological personality survey, a psychological emotion survey, and simulator scenarios.
Bryan Higgs 0002, Montasir Abbas
openaire   +1 more source

The density wave in a car-following model

Journal of Physics A: Mathematical and General, 2002
Summary: According to the optimal-velocity model, the condition for stable traffic flow is deduced. Nonlinear analysis shows that the density fluctuation in traffic flow itself induces two types of local density waves. A weak fluctuation occurring near the stability state in a wide range of headways forms a soliton determined by the Korteweg-de Vries ...
Zhou, Xianjun, Liu, Zhongzhu, Luo, Jun
openaire   +1 more source

Follow that car! Investigating a simple class of car following model

Teaching Mathematics and its Applications, 2000
A simple mathematical model for how individual vehicles follow each other along a stretch of road is discussed. The resulting first-order differential equation can be used as an application of solution techniques taught at A-level and first year undergraduate level, and as a motivator to encourage students to think critically about the physical ...
openaire   +1 more source

A novel nonlinear car-following model

Chaos: An Interdisciplinary Journal of Nonlinear Science, 1998
The mathematical models used to describe the dynamical behavior of a group of road vehicles traveling in a single lane without overtaking are known as car-following models. These models are widely used in many commercially available microscopic traffic simulation software packages. They attempt to mimic the interactions between individual vehicles that
Addison, Paul S., Low, David J.
openaire   +3 more sources

Psychological factors that influence car-following and car-following model development

Transportation Research Part F: Traffic Psychology and Behaviour, 1999
Abstract This commentary on Brackstone and McDonald’s (1999) historical review of car-following models focuses primarily on five issues: (i) Why has so much effort been devoted to car-following models? (ii) What assumptions do car-following models make about driver behavior? (iii) What factors influence car-following?
openaire   +1 more source

Empirics of Multianticipative Car-Following Behavior

Transportation Research Record: Journal of the Transportation Research Board, 2006
This paper considers multianticipative car-following behavior (i.e., driver behavior that includes responses to multiple vehicles ahead). Two well-known models incorporating multivehicle stimuli (Bexelius and Lenz) are recalled, and various modifications are proposed to improve their performance.
Hoogendoorn, Serge P.   +2 more
openaire   +2 more sources

Identification of driver car-following behaviour

2005 IEEE International Conference on Systems, Man and Cybernetics, 2005
A procedure is developed to identify the driver frequency response functions (FRF) of a serial multi-loop car-following model. It is shown that with a single forcing function both the inner-loop and outer-loop FRF's can be identified, although indirectly.
Mark Mulder   +3 more
openaire   +1 more source

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