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Parallel transportation:virtual-real interaction for intelligent traffic management and control
- Chinese Journal of Intelligent Science and Technology Vol. 1, Issue 1, Pages: 21-33(2019)
- 作者机构：
1. 中国科学院自动化研究所 复杂系统管理与控制国家重点实验室，北京 100190
2. 青岛市智能产业技术研究院，山东 青岛 266109
3. 银江股份有限公司，浙江 杭州 310030
- 作者简介：
- 基金信息：
DOI：10.11959/j.issn.2096-6652.201908
CLC： TP18,U491-
Published Online：2019-03，
Published：20 March 2019
- 稿件说明：
移动端阅览
Yisheng LV, Yuanyuan CHEN, Junchen JIN, et al. Parallel transportation:virtual-real interaction for intelligent traffic management and control[J]. Chinese journal of intelligent science and technology, 2019, 1(1): 21-33.
Yisheng LV, Yuanyuan CHEN, Junchen JIN, et al. Parallel transportation:virtual-real interaction for intelligent traffic management and control[J]. Chinese journal of intelligent science and technology, 2019, 1(1): 21-33. DOI： 10.11959/j.issn.2096-6652.201908.
摘要
概述了平行交通系统的概念、框架、方法与应用。平行交通系统能够针对具体任务和特定场景构建对应的软件定义的人工交通系统，在此基础上，利用计算实验方法进行实验、分析、评估、预测、学习与优化，并借助平行执行实现对实际交通系统的管理与控制，实现虚实互动的平行智能。平行交通管理与控制是ACP理论的拓展应用，主要强调虚实互动的平行智能产生方式在城市交通管理与控制中的应用，以提高城市交通管理与控制的智能化水平。
Abstract
The concept
architecture
methods and applications of parallel transportation systems were introduced.The main idea is to build software defined artificial transportation systems for specific traffic application tasks and scenarios;use computational experimental methods for experiments
analysis
evaluation
prediction
learning
and optimization;and parallel execution is conducted for management and control of urban transportation systems
leading to virtual-real interactive parallel intelligence.Parallel traffic management and control is an extension and application of ACP approach
which emphasizes using virtual-real interactive ways to generate parallel intelligence for urban transportation systems
towards improving the intelligence of urban traffic management and control.
关键词
Keywords
references
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