Measures of Structure and Operation of Automated Transit Networks

• Published in: IEEE transactions on intelligent transportation systems Vol. 21; no. 7; pp. 2966 - 2979
• Main Author: Daszczuk, Wiktor B.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.07.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Analytical models; Automation; Benchmark testing; Benchmarks; Computational and artificial intelligence-artificial intelligence-autonomous systems; Entropy; Intelligent transportation systems; intelligent transportation systems-transportation-public transportation; reliability-maintenance; robotics and automation-autonomous systems; Scalars; Size measurement; systems engineering and theory-modeling-simulation-systems simulation; systems engineering and theory-system analysis and design-System performance; Throughput
• ISSN: 1524-9050; 1558-0016
• DOI: 10.1109/TITS.2019.2921913

Automated transit networks (ATN) are subject to intensive research. Many models of ATN systems have been analyzed and many features have been studied. However, most paper use a single benchmark, test selected features, and use author's own measures for the network itself and its operation. This paper presents several benchmarks of ATN systems and their characteristics being the subject of research. We show that general measures are rarely used to assess network size, its regularity, demand structure, and traffic parameters. We also show that scalar variables are not used for comparison, which makes them doubtful. We propose a set of measures for several of the most important features of ATN systems. They are generally based on scalars elaborated using square measures and entropy. Such a set of measures may be used to compare various benchmarks and their performance.