An ontology-based framework to support performance monitoring in public transport systems

Benvenuti, Filippo; Diamantini, Claudia; Potena, Domenico; Storti, Emanuele

doi:10.1016/j.trc.2017.06.001

Cited by 27 publications

(21 citation statements)

References 21 publications

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“…Ontology matching is well suited to solve the problems arising from semantic ambiguity and large data volume in transportation data [21][22][23]. Benvenuti et al [24] integrated Transmodel ontologies and KPIOnto to facilitate the study of public road monitoring systems.…”

Section: Related Workmentioning

confidence: 99%

Matching Transportation Ontologies with Word2Vec and Alignment Extraction Algorithm

Xue

Wang

Zhang

et al. 2021

Journal of Advanced Transportation

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The development of intelligent transportation systems (ITSs) faces the challenge of integrating data from multiple unrelated sources. As one of the core technologies of knowledge integration in ITS, an ontology typically provides a normative definition of transportation domain that can be used as a reference for information integration. However, due to the subjectivity of domain experts, a concept may be expressed in multiple ways, yielding the ontology heterogeneity problem. Ontology matching (OM) is an effective method of addressing it, which is of help to further realize the mutual communication between the ontology-based ITSs. In this work, we first propose to use Word2Vec to model the entities in vector space and calculate their similarity values. Then, a stable marriage-based alignment extraction algorithm is presented to determine high-quality alignment. In the experiment, the performance of the proposal is tested by using the benchmark track of OAEI and real transportation ontologies. The experimental results show that our approach is able to obtain higher quality alignment results than OAEI’s participants and other state-of-the-art ontology matching techniques.

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Section: Related Workmentioning

confidence: 99%

Matching Transportation Ontologies with Word2Vec and Alignment Extraction Algorithm

Xue

Wang

Zhang

et al. 2021

Journal of Advanced Transportation

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“…The choice of KPIs as the best approach in our study was justified because it was used in similar research, including research on performance systems for local authorities [72], high tech infrastructure construction [73], road freight transport [74], decarbonising supply chains [75], product-service system lifecycles [76], environmentally sustainable, energy-efficient ports [67], agent-based simulation in urban logistics [77], public transport [78] and smart city (e.g., tracking, citizens) [79]. Usually, KPIs are divided into groups and have their own scales.…”

Section: Kpismentioning

confidence: 99%

Transformation of Trolleybus Transport in Poland. Does In-Motion Charging (Technology) Matter?

et al. 2020

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Transport in cities is one of the most important sources of emissions. Electromobility is an essential element in the catalogue of activities of local authorities aimed at combating climate change. Over the years trolleybus transport has been characterised by both phases of development and regression and is still an essential component of zero-emission urban transport in about 300 cities worldwide. The development of electricity storage technology, especially in the form of a battery, has opened up new prospects for this mode of transport. A trolleybus equipped with a battery (in-motion charging technology) gains unique characteristics for operation independent of the catenary. This study presents the approach for assessing the development of in-motion charging for trolleybuses in all Polish cities operating this means of transport. A set of KPIs has therefore, been set and analysed. The analysis covers a comparison between 2014 and 2019, aimed at showing the development of technological innovations in this field. The results clearly show that in-motion charging technology leads to the development of trolleybus transport, although this development has mainly a qualitative dimension. A key factor determining the development of trolleybus transport using in-motion charging technology is progress in the development of traction batteries.

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“…A survey paper (Abanda et al, 2013) on the topic has identified a gradual shift from traditional construction applications to Semantic Web sustainable construction applications. Benvenuti et al (2017) propose a framework to ease the development of a monitoring system in the public transport domain; their approach is based on the ontological representation of the knowledge regarding indicators and their formulas, business objectives, dimension analysis and their relation with the Transmodel (the European reference data model for public transport information systems). In addition, a Prologbased reasoning framework provides logic functionalities to interactively support designers in a set of common design tasks: the choice of the most suitable indicators for the performance monitoring needs at hand, the definition of new indicators and the identification of the minimal set of Transmodel modules needed to calculate them.…”

Section: Related Workmentioning

confidence: 99%

“…Operational decisions regarding transportation do not only impact the level of service for consumers but also cause financial losses to the operating companies due to high repair costs, poor services, and in the worst cases, may cost lives. Many services affecting transportation, including monitoring of various aspects of infrastructure, are data-driven with realtime sensing or manual recording of different key performance indicators (Benvenuti et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

An ontological approach for pathology assessment and diagnosis of tunnels

Dimitrova

Mehmood

Thakker

et al. 2020

Engineering Applications of Artificial Intelligence

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Tunnel maintenance requires complex decision making, which involves pathology diagnosis and risk assessment, to ensure full safety while optimising maintenance and repair costs. A Decision Support System (DSS) can play a key role in this process by supporting the decision makers in identifying pathologies based on disorders present in various tunnel portions and contextual factors affecting a tunnel. Another key aspect is to identify which spatial stretches within a tunnel contain pathologies of similar kinds within neighbouring tunnel segments. This paper presents PADTUN, a novel intelligent decision support system that assists with pathology diagnosis and assessment of tunnels with respect to their disorders and diagnosis influencing factors. It utilises semantic web technologies for knowledge capture, representation, and reasoning. The core of PADTUN is a family of ontologies which represent the main concepts and relations associated with pathology assessment, and capture the decision process concerning tunnel maintenance. Tunnel inspection data is linked to these ontologies to take advantage of inference capabilities offered by semantic technologies. In addition, an intelligent mechanism is presented which exploits abstraction and inference capabilities. Thus PADTUN provides the world's first semantically based intelligent DSS for tunnel maintenance. PADTUN was developed by an interdisciplinary team of tunnel experts and knowledge engineers in real-world settings offered by the NeTTUN EU Project. An evaluation of the PADTUN system is performed using real-world tunnel data and diagnosis tasks. We show how the use of semantic technologies allows addressing the complex issues of tunnel pathology inferencing, aiding in, and matching transportation experts' expectations of decision support. The methodology is applicable to any linear transport structures, offering intelligent ways to aid with complex decision processes related to diagnosis and maintenance.

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An ontology-based framework to support performance monitoring in public transport systems

Cited by 27 publications

References 21 publications

Matching Transportation Ontologies with Word2Vec and Alignment Extraction Algorithm

Matching Transportation Ontologies with Word2Vec and Alignment Extraction Algorithm

Transformation of Trolleybus Transport in Poland. Does In-Motion Charging (Technology) Matter?

An ontological approach for pathology assessment and diagnosis of tunnels

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