Development of Car-Following Model with Parameter Identification by Genetic Algorithm.

Chumsamutr, Rattapon; Fujioka, Takehiko

doi:10.1299/jsmec.46.188

Cited by 2 publications

(3 citation statements)

References 10 publications

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“…Helbing [6] reviewed the studies of car-following behavior and corresponding traffic flow based on the statistical physics and nonlinear dynamics methods. Chumsamutr and Fujioka [7] reviewed the previous car-following models used in simulation software to evaluate the vehicle longitudinal control system. In their review [8], Nagel et al focused on the research on the nonlinear and phase transition characteristics of traffic flow.…”

Section: Introductionmentioning

confidence: 99%

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Modeling the Car-Following Behavior with Consideration of Driver, Vehicle, and Environment Factors: A Historical Review

Han

Wang

2022

Sustainability

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Car-following behavior is the result of the interaction of various elements in the specific driver-vehicle-environment aggregation. Under the intelligent and connected condition, the information perception ability of vehicles has been significantly enhanced, and abundant information about the driver-vehicle-environment factors can be obtained and utilized to study car-following behavior. Therefore, it is necessary to comprehensively take into account the driver-vehicle-environment factors when modeling car-following behavior under intelligent and connected conditions. While there are a considerable number of achievements in research on car-following behavior, a car-following model with comprehensive consideration of driver-vehicle-environment factors is still absent. To address this gap, the literature with a focus on car-following behavior research with consideration of the driver, vehicle, or environment were reviewed, the contributions and limitations of the previous studies were analyzed, and the future exploration needs and prospects were discussed in this paper. The results can help understand car-following behavior and the traffic flow characteristics affected by various factors and provide a reference for the development of traffic flow theory towards smart transportation systems and intelligent and connected driving.

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Section: Introductionmentioning

confidence: 99%

“…These reviews contribute substantially to the research. Among the reviews, [7] involved the driver factor, and [9,10,[14][15][16] involved the vehicle factor. To be specific, [9,[14][15][16] reviewed the research involving intelligent and connected technology.…”

Section: Introductionmentioning

confidence: 99%

Modeling the Car-Following Behavior with Consideration of Driver, Vehicle, and Environment Factors: A Historical Review

Han

Wang

2022

Sustainability

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“…In this way an adequate array of tests can be depended on for the study and investigation in fields such as: network control systems [6], car-following [9], and platooning guidance [8].…”

Section: Introductionmentioning

confidence: 99%

Communication architecture based on Player/Stage and sockets for cooperative guidance of robotic units

Espinosa

Salazar

Valdes

et al. 2008

2008 16th Mediterranean Conference on Control and Automation

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This document describes the proposal of an internal and external communication architecture implemented in order to develop cooperative tasks among robotic units. The key of this communication system are the client-server links designed with Player/Stage for periodical control tasks and with sockets for non periodical ones. Each mobile unit acts as a node, connected through an Ethernet-Converter device, of the network control system.Using this communication architecture as the base, local and remote control alternatives are described for a mobile unit as well as for several working in convoy.The robotic platform is a P3-DX improved with electronic systems for control and communicatio: main board "VIA-EPIA mini ITX" and ethernet converter WLI-TX4-G54HP-2.Besides the descripction of how to implement the communication architecture, the results of an example of a P3-DX remotely controlled are included.

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Development of Car-Following Model with Parameter Identification by Genetic Algorithm.

Cited by 2 publications

References 10 publications

Modeling the Car-Following Behavior with Consideration of Driver, Vehicle, and Environment Factors: A Historical Review

Modeling the Car-Following Behavior with Consideration of Driver, Vehicle, and Environment Factors: A Historical Review

Communication architecture based on Player/Stage and sockets for cooperative guidance of robotic units

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