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Car-Following Models

1983
The automobile is a pervasive feature of modern technological societies despite its accompanying problems of pollution, accidents, and congestion. In the last 25 years a vast amount of literature has been published which we might classify as “traffic science.” This science has attempted to understand through modeling and data gathering the traffic ...
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Car-Following Model for Motorway Traffic

Transportation Research Record: Journal of the Transportation Research Board, 2005
This paper presents a new car-following model that aims to capture some of the key motorway flow characteristics, namely, traffic breakdown, hysteresis, and shock wave propagation, as well as close-following behavior. The model proposes three different driving states: nonalert, alert, and close following.
Jiao Wang, Ronghui Liu, Frank Montgomery
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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?
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Further research on car-following models

Transportation Research, 1972
A CAR-FOLLOWING MODEL IS PROPOSED IN WHICH THE DRIVER'S SENSITIVITY IN RESPONDING TO CHANGES IN VISUAL STIMULUS IS A FUNCTION OF HIS TIME-HEADWAY. THE RELATIONSHIP BETWEEN THIS AND PREVIOUS MODELS IS EXAMINED AND ITS APPLICATION TO A WIDE VARIETY OF SITUATIONS DISCUSSED, ILLUSTRATED PARTICULARLY WITH EXAMPLES FROM DATA COLLECTED BY THE AUTHORS IN THE ...
M.P. Heyes, R. Ashworth
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Connections between classical car following models and artificial neural networks

International Conference on Intelligent Transportation Systems, 2018
This article considers the problem of traffic modeling via modeling at the microscopic (i.e., vehicle) scale. It provides a connection between classical ordinary differential equation based models and data driven artificial neural network (ANN) based ...
Fangyu Wu, D. Work
semanticscholar   +1 more source

Asymmetric optimal-velocity car-following model

Physica A: Statistical Mechanics and its Applications, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xu, Xihua   +2 more
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Car-Following Models for Human-Driven Vehicles and Autonomous Vehicles: A Systematic Review

Journal of Transportation Engineering, Part A: Systems, 2023
Zelin Wang   +4 more
semanticscholar   +1 more source

Calibrating the Local and Platoon Dynamics of Car-Following Models on the Reconstructed NGSIM Data

, 2016
The NGSIM trajectory data are used to calibrate two car-following models—the IDM and the FVDM. We used the I80 dataset which has already been reconstructed to eliminate outliers, non-physical data, and internal and platoon inconsistencies contained in ...
V. Kurtc, M. Treiber
semanticscholar   +1 more source

Continuum approach to car-following models

Physical Review E, 2000
A continuum version of the car-following Bando model is developed using a series expansion of the headway in terms of the density. This continuum model obeys the same stability criterion as its discrete counterpart. To compare both models we show that traveling wave solutions of the Bando model are very similar to those of the continuum model in the ...
, Berg, , Mason, , Woods
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Calibrating Car-Following Models on Urban Streets Using Naturalistic Driving Data

Journal of Transportation Engineering, Part A: Systems, 2023
Linjia He, Xuesong Wang
semanticscholar   +1 more source

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