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Objective Information Theory (2023)

Xu, Jianfeng ; Wang, Shuliang ; Liu, Zhenyu ; [et al.]

Springer Nature | Springer Nature Singapore

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Publication Date: 2024-04-14

Description: Objective Information Theory (OIT) is proposed to represent and compute the information in a large-scale complex information system with big data in this monograph. To formally analyze, design, develop, and evaluate the information, OIT interprets the information from essential nature, measures the information from mathematical properties, and models the information from concept, logic, and physic. As the exemplified applications, Air Traffic Control System (ATCS) and Smart Court SoSs (System of Systems) are introduced for practical OITs. This Open Access book can be used as a technical reference book in the field of information science and also a reference textbook for senior students and graduate ones in related majors.

Keywords: Object Information Theory ; Information Space ; Structural Framework ; Metaverse ; Information Model ; Information Measure ; Information Systems Dynamics ; Air Traffic Control System (ATCS) ; Smart Court SoSs (System of Systems) ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UY Computer science

Language: English

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A New Coordinated Control Method on the Intersection of Traffic Region (2016)

Ma, Minghui ; Yang, Qingfang ; Liang, Shidong ; [et al.]

Hindawi

In: Discrete Dynamics in Nature and Society. 2016; 2016: 1-10. Published 2016 Jan 01. doi: 10.1155/2016/5985840.

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Publication Date: 2016-01-01

Description: Intersection regions widely exist in road networks as crucial connections, and the congestion effects on traffic in the networks cannot be ignored. In general, a conventional intersection region includes a merging region and more than two ramps, whose congestion brings a serious negative effect on traffic service quality and satisfaction of drivers. Specifically, intersection region congestion is caused by congestion in merging regions. However, current control methods regarding coordination of the variable speed limits and ramp metering in order to solve merging region congestion are insufficient to handle congestion occurring in the intersection region. Therefore, a new method of coordinated control is proposed in this paper based on mainline control using the variable speed limits and coordinated ramp metering. The coordinated control method is formulated considering the degree of crowdedness indexes and implemented based on the queue length, with the goal to relieve congestion in conventional intersection regions caused by merging region congestion. The coordinated control method is further evaluated based on an actual traffic network. The results show that the proposed method is effective in terms of improving traffic service quality and relieving intersection region congestion.

Print ISSN: 1026-0226

Electronic ISSN: 1607-887X

Topics: Mathematics