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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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Composite car following models

Transportation Research, 1974
Abstract This paper addresses previous proposed car-following models and compares them with empirically collected data obtained through aerial photogrammetric techniques, and considers the possibility of using “composite” models to describe the real world situations. Four models are revisited, namely those associated with Chandler et al.
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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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Elementary Car-Following Models

2012
Microscopic models describe traffic flow dynamics in terms of single vehicles. The mathematical formulations include car-following models, the topic of this and the next two chapters, and cellular automata, which are described in Chap. 13. This chapter begins with a discussion of general principles that apply to all microscopic models of traffic flow ...
Martin Treiber, Arne Kesting
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Analysis of a Car-Following Model with Driver Memory Effect

International Journal of Bifurcation and Chaos, 2015
A nonlinear car-following model considering memory effect of human drivers is studied by means of theoretical analysis and numerical simulation. We model the memory effect of the response of drivers to the traffic situation for a car-following model by introducing a system variable related to velocity.
Zhi Xin, Jian Xu 0005
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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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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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A Fuzzy Logic-Based Anticipation Car-Following Model

2018
The human drivers in a real world decide and act according to their experience, logic, and judgments. In contrast, mathematical models act according to mathematical equations that ensure the precision of decision to take. However, these models do not provide a promising simulation and they do not reflect the human behaviors. In this context, we present
Bennajeh, Anouer   +3 more
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A Car-Following Dynamic Model on Equilibrium

ICTIS 2011, 2011
Considering the equilibrium theory, this paper presented a new optimal velocity function (desired velocity), and discussed its formation and validity in detail. Further, we established an improved dynamic model based on the well accepted "stimulus response" pattern. Finally, we performed parameters calibration and model validation with the experimental
Baogui Cao, Zhaosheng Yang
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Comparison of Microscopic Car following Models

2019 International Conference on Systems of Collaboration Big Data, Internet of Things & Security (SysCoBIoTS), 2019
In traffic engineering, traffic congestion problems become a serious problem that reduces significantly urban mobility. Microscopic simulation models are among different techniques which have been proposed to alleviate this problem. To analyze a variety of complex and dynamic traffic problems, microscopic traffic simulation determines the movements of ...
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