A tool-chain for statistical spatio-temporal model checking of bike sharing systems

Autor: Diego Latella, Rytis Paškauskas, Vincenzo Ciancia, Andrea Vandin, Mieke Massink
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: Leveraging Applications of Formal Methods, Verification and Validation: Foundational Techniques. 7th International Symposium, pp. 657–673, Corfu, Greece, 10-14 October 2016
info:cnr-pdr/source/autori:Ciancia V.; Latella D.; Massink M.; Paskauskas R.; Vandin A./congresso_nome:Leveraging Applications of Formal Methods, Verification and Validation: Foundational Techniques. 7th International Symposium/congresso_luogo:Corfu, Greece/congresso_data:10-14 October 2016/anno:2016/pagina_da:657/pagina_a:673/intervallo_pagine:657–673
Leveraging Applications of Formal Methods, Verification and Validation: Foundational Techniques ISBN: 9783319471655
ISoLA (1)
DOI: 10.1007/978-3-319-47166-2_46
Popis: Prominent examples of collective systems are often encountered when analysing smart cities and smart transportation systems. We propose a novel modelling and analysis approach combining statistical model checking, spatio-temporal logics, and simulation. The proposed methodology is applied to modelling and statistical analysis of user behaviour in bike sharing systems. We present a tool-chain that integrates the statistical analysis toolkit MultiVeStA, the spatio-temporal model checker topochecker, and a bike sharing systems simulator based on Markov renewal processes. The obtained tool allows one to estimate, up to a user-specified precision, the likelihood of specific spatio-temporal formulas, such as the formation of clusters of full stations and their temporal evolution.
Databáze: OpenAIRE