A fleet management service for smart cities: The S<sup>2</sup>-move project

Natale, Eduard; Tufo, Manuela; Salvi, Alessandro

doi:10.1109/isc2.2016.7580777

Cited by 6 publications

(6 citation statements)

References 25 publications

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“…A fleet management service solution for enhancing mobility and safety in urban areas is presented in [38], and it offers both fleet control and fleet monitoring. Information about a vehicle's mobility, including fuel usage, geolocation, speed, and CO 2 vehicle's emissions level, is provided via the fleet monitoring service.…”

Section: Exploration Of Existing Routing Servicesmentioning

confidence: 99%

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A Review of the Vehicle Routing Problem and the Current Routing Services in Smart Cities

et al. 2022

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In this survey, the issues of urban routing are analyzed, and critical considerations for smart and cost-effective delivery services are highlighted. Smart cities require intelligent services and solutions to address their routing issues. This article gives a brief description of current services that either apply classical methods or services that employ machine learning approaches. Furthermore, a comparison of the most promising research options in regard to VRP is provided. Finally, an initial design of a holistic scheme that would optimally combine several tools and approaches to serve the needs of different users with regard to the VRP is presented.

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Section: Exploration Of Existing Routing Servicesmentioning

confidence: 99%

“…According to the problem set-up, it may be required to take into account one of the two aforementioned features or both. A route planning solution has to combine both and allow the user to set his preferences [20,21,27,29,30,[33][34][35]37,38,41,42,44,45].…”

Section: Identifying Key Points Of the Existing Routing Servicesmentioning

confidence: 99%

A Review of the Vehicle Routing Problem and the Current Routing Services in Smart Cities

et al. 2022

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“…A set of functionalities that the IoTbased framework for fleet management system should support are discussed. A fleet management system that improves road safety, energy efficiency and environment friendliness was proposed in [4]. In smart cities, fleet assets such as fireengines, ambulances, trucks, drones, helicopters and so on should be efficiently managed in order to save lives and property in emergencies such as fires, traffic accidents, flooding, earth quakes, landslides, and so on.…”

Section: Recent Fleet Management Systemsmentioning

confidence: 99%

Techniques for Group Management Application Development

Shim¹,

Yim²,

Kim³

2017

Advanced Science and Technology Letters

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Abstract.A group management application is an Android application that monitors locations of students during field-trips. This paper reviews existing group management systems. In the location-based service field, fleet management has been one of the most popular research topics. Group management is a kind of fleet management and fleet management is included in our review scope. Then, techniques for implementing group management systems such as indoor and outdoor positioning, database management, communication techniques, and Android application development techniques will also be discussed.

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“…Traditional dashboards, such as those in References [1][2][3], consist of a set of visualizations chosen in advance and are designed for a specific set of data sources; for example, a dashboard composed of gauges displaying the current temperatures in the five ovens in an industrial bakery.…”

Section: Introduction: Evolution Of Dashboard Architectures To Suppormentioning

confidence: 99%

A Dynamic Dashboarding Application for Fleet Monitoring Using Semantic Web of Things Technologies

Hautte

Moens

Herwegen

et al. 2020

Sensors

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In industry, dashboards are often used to monitor fleets of assets, such as trains, machines or buildings. In such industrial fleets, the vast amount of sensors evolves continuously, new sensor data exchange protocols and data formats are introduced, new visualization types may need to be introduced and existing dashboard visualizations may need to be updated in terms of displayed sensors. These requirements motivate the development of dynamic dashboarding applications. These, as opposed to fixed-structure dashboard applications, allow users to create visualizations at will and do not have hard-coded sensor bindings. The state-of-the-art in dynamic dashboarding does not cope well with the frequent additions and removals of sensors that must be monitored—these changes must still be configured in the implementation or at runtime by a user. Also, the user is presented with an overload of sensors, aggregations and visualizations to select from, which may sometimes even lead to the creation of dashboard widgets that do not make sense. In this paper, we present a dynamic dashboard that overcomes these problems. Sensors, visualizations and aggregations can be discovered automatically, since they are provided as RESTful Web Things on a Web Thing Model compliant gateway. The gateway also provides semantic annotations of the Web Things, describing what their abilities are. A semantic reasoner can derive visualization suggestions, given the Thing annotations, logic rules and a custom dashboard ontology. The resulting dashboarding application automatically presents the available sensors, visualizations and aggregations that can be used, without requiring sensor configuration, and assists the user in building dashboards that make sense. This way, the user can concentrate on interpreting the sensor data and detecting and solving operational problems early.

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A fleet management service for smart cities: The S²-move project

Cited by 6 publications

References 25 publications

A Review of the Vehicle Routing Problem and the Current Routing Services in Smart Cities

A Review of the Vehicle Routing Problem and the Current Routing Services in Smart Cities

Techniques for Group Management Application Development

A Dynamic Dashboarding Application for Fleet Monitoring Using Semantic Web of Things Technologies

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A fleet management service for smart cities: The S2-move project

Cited by 6 publications

References 25 publications

A Review of the Vehicle Routing Problem and the Current Routing Services in Smart Cities

A Review of the Vehicle Routing Problem and the Current Routing Services in Smart Cities

Techniques for Group Management Application Development

A Dynamic Dashboarding Application for Fleet Monitoring Using Semantic Web of Things Technologies

Contact Info

Product

Resources

About

A fleet management service for smart cities: The S²-move project