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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), 2021In 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 Stern
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A novel nonlinear car-following model
Chaos: An Interdisciplinary Journal of Nonlinear Science, 1998The 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.
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Solid angle car following model*
Chinese Physics B, 2020Existing traffic flow models give little consideration on vehicle sizes. We introduce the solid angle into car-following theory, taking the driver’s perception of the leading vehicle’s size into account. The solid angle and its change rate are applied as inputs to the novel model.
Dongfang Ma, Yueyi Han, Sheng Jin
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Linear dynamic car-following model
Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788), 2004Car-following model describes traffic flow along highway in the microscopic level. It uses mathematical equations to describe the behavior between a leading vehicle and its follower. Most of the car-following models in literature are based on a series of models developed by General Motor Corporation. This study proposed a new model to formulate the car-
null Ta-Hui Yang, null Chi-Wei Zu
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Multi-anticipative car-following model
The European Physical Journal B, 1999The microscopic car-following model by Bando et al. [1-4] is extended by incorporating multi-vehicle interactions. It is shown that the reaction to more than one vehicle ahead leads to a stabilization of the dynamical behavior, i.e. the stable region increases.
H. Lenz, C.K. Wagner, R. Sollacher
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Composite car following models
Transportation Research, 1974Abstract 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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Car-Following Models Study Progress
2009 Second International Symposium on Knowledge Acquisition and Modeling, 2009Car-following model is the vital portion of traffic flow theory which is the foundation for simulation, capacity, control, safety, and ITS. A scientific traffic flow model can properly deal with the severe conflicts between traffic application and demand , efficiently analyse and solve some actual traffic matters. Since the last decade of 20th century ,
Baogui Cao, Zhaosheng Yang
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Elementary Car-Following Models
2012Microscopic 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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Neural Agent Car-Following Models
IEEE Transactions on Intelligent Transportation Systems, 2007This 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
Panwai, Sakda, Dia, Hussein
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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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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 ...
openaire +1 more source