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引用次数: 0
摘要
本文介绍了一个独立的 C++ 应用程序，用于开展基于细胞自动机（CA）和多代理方法的道路交通建模研究。该软件允许通过使用 Qt 库实现的图形界面与用户进行交互。它使用微尺度交通建模研究人员所喜爱的基本图和时空图来显示结果。所提供软件的优势在于支持多单元 CA 和道路交通模型，可处理加速和制动动态以及与前车距离的可变性。本文介绍了该软件的结构、主要功能以及定义影响建模过程的代理和参数的能力。
ABMTrafSimCA: An agent-based modelling open-source software tool for traffic modelling and simulation based on cellular automata
This article presents a standalone C++ application for conducting research in road traffic modelling based on cellular automata (CA) and a multi-agent approach. The software allows interaction with the user through the graphical interface implemented with the Qt library. It displays the results using the fundamental and space–time diagrams appreciated by researchers of micro-scale traffic modelling. The advantage of the provided software is the support for multi-cell CA and the road traffic model that handles the dynamics of acceleration and braking as well as a changeable distance from preceding vehicles. This article describes the architecture, main functionalities, and the ability to define agents and parameters affecting the modelling process.
期刊介绍：
SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.
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