2018
DOI: 10.1007/s10009-018-0483-8
|View full text |Cite
|
Sign up to set email alerts
|

Spatio-temporal model checking of vehicular movement in public transport systems

Abstract: We present the use of a novel spatio-temporal model-checker to detect problems in the data and operation of a collective adaptive system. Data correctness is important to ensure operational correctness in systems which adapt in response to data. We illustrate the theory with several concrete examples, addressing both the detection of errors in vehicle location data for buses in the city of Edinburgh and the undesirable phenomenon of "clumping" which occurs when there is not enough separation between subsequent… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
23
0

Year Published

2018
2018
2021
2021

Publication Types

Select...
4
4

Relationship

1
7

Authors

Journals

citations
Cited by 50 publications
(23 citation statements)
references
References 34 publications
0
23
0
Order By: Relevance
“…A spatial logic (SLCS), stemming from the tradition of topological interpretations of modal logics, dating back to earlier logicians such as Tarski, where modalities describe neighbourhood is introduced in [25]. SLCS extends the classical framework with a spatial surrounded operator, a propagation operator and with some collective operators which are interpreted over arbitrary sets of points instead of individual points in space.…”
Section: Logic-based Methods and Analysis Techniquesmentioning
confidence: 99%
See 1 more Smart Citation
“…A spatial logic (SLCS), stemming from the tradition of topological interpretations of modal logics, dating back to earlier logicians such as Tarski, where modalities describe neighbourhood is introduced in [25]. SLCS extends the classical framework with a spatial surrounded operator, a propagation operator and with some collective operators which are interpreted over arbitrary sets of points instead of individual points in space.…”
Section: Logic-based Methods and Analysis Techniquesmentioning
confidence: 99%
“…SLCS extends the classical framework with a spatial surrounded operator, a propagation operator and with some collective operators which are interpreted over arbitrary sets of points instead of individual points in space. A variant of SLCS, named SSTL, with two new spatial modalities: the somewhere operator and a novel bounded version of the topological surrounded operator is introduced in [26] and is used in [25] to detect problems in vehicle location data for city buses and, e.g. spot the undesirable phenomenon of "clumping" which occurs when there is not enough separation between subsequent buses serving the same route.…”
Section: Logic-based Methods and Analysis Techniquesmentioning
confidence: 99%
“…The recent development of the share construct for optimal state diffusion [132] further supports this claim, by providing means to check temporal properties without delays. Notably, runtime verification methods are often too expensive to be used on the complex state spaces of distributed systems, leading to the development of state-reduction methods like mean-field approximation [133,134]; field calculus may provide an alternative method for state reduction that is more readily able to be applied to a broader class of systems. Future developments may provide automatic translations of properties expressed in spatio-temporal logics into field calculus, possibly improving over existing similar approaches in the field of runtime verification of distributed systems.…”
Section: Understanding and Controlling Dynamics And Feedbackmentioning
confidence: 99%
“…Shao et al [69] also consider the combination of proposition temporal logic PTL and S4 u and apply it to several classical properties of train control systems. Ciancia et.al [58] present STLCS through enhancing SLCS with temporal operators that features the CTL path quantifiers ∀ (for all paths) and ∃ (there exists a path). All these work are trying to answer how to specify spatio-temporal properties in discrete time, rather than dense time.…”
Section: Related Workmentioning
confidence: 99%