Estimating Road Surface Condition Using Crowdsourcing

Bin, Piao; Aihara, Kenro; Kinoshita, Akira; Takasu, Atsuhiro; Adachi, Jun

doi:10.1007/978-3-319-68282-2_5

Cited by 3 publications

(5 citation statements)

References 17 publications

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“…Keyword analysis can support the identification of the main areas of application since they are used by the authors to help indexers, search sources and consequently readers to find relevant papers; they generally represent the content of the manuscript and are quite specific to subject's field or subfield. From the analysis of the keywords of the papers of the review (Figure 2), conducted through pivot tables, beyond the terms included in the search strategy (GIS, VGI, PPGIS, Crowdsourcing and Transport), the words "Accessibility" [28][29][30][31][32][33], Smartphone [34][35][36][37][38] and "Activity Space" [39][40][41] emerge. In particular, GIS are fundamental to visualize the impact of transport solutions in terms of accessibility, and there is a growing literature on transport studies related to this topic [42][43][44][45].…”

Section: Discussionmentioning

confidence: 99%

Mapping with Stakeholders: An Overview of Public Participatory GIS and VGI in Transport Decision-Making

Giuffrida

Pira

Inturri

et al. 2019

IJGI

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Transport decision-making problems are typically spatially based and involve a set of feasible alternatives with multiple evaluation criteria. Besides, transport decisions affect citizens’ quality of life, as well as specific interests of general stakeholders (e.g., transport companies), thus needing a participatory approach to decision-making. Geographic Information Systems (GIS) have the ability to visualize spatial data and represent the impact of location based transport alternatives, thus helping experts to conduct robust assessments. Moreover, with the recent diffusion of Volunteered Geographic Information (VGI) and development of Public Participatory GIS (PPGIS) platforms, the process can be enhanced thanks to the collection of a large amount of updated spatial data and the achievement of an active community participation. In this study, we provide an overview based on a structured literature review of the use of VGI and PPGIS in transport studies, exploring the fields of application, role played by GIS, level of public involvement and decision stage at which they are applied. From the overview’s results, we propose a general framework for the evaluation of transport alternatives using GIS from a multiple stakeholder point of view; the main conclusion is the usefulness of the integration between Public Participation, GIS and quantitative evaluation methods, in particular Multi Criteria Decision Analysis, in order to foster technically sound and shared decisions.

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Section: Discussionmentioning

confidence: 99%

Mapping with Stakeholders: An Overview of Public Participatory GIS and VGI in Transport Decision-Making

Giuffrida

Pira

Inturri

et al. 2019

IJGI

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“…In [20], authors attached smartphones in the car panel to capture images, location, and accelerometer data. They extracted a set of features based on data gathered and applied random forest classifier to detect road conditions, such as the existence of dry snow or solid ice, bumps, and potholes.…”

Section: Road Surface Conditions Based On Accelerometers Readingsmentioning

confidence: 99%

“…In summary, the first solutions tackling road surface classification focused on detect anomalies, such as bumps and potholes, and they required specialized equipment [10,11,13]. Solutions aiming to map the road conditions into a metric appeared in [12,15,16,20,22,25]. Among these solutions, only [16,20] considered participatory sensing with users' collaboration.…”

Section: Road Surface Conditions Based On Accelerometers Readingsmentioning

confidence: 99%

“…Solutions aiming to map the road conditions into a metric appeared in [12,15,16,20,22,25]. Among these solutions, only [16,20] considered participatory sensing with users' collaboration. Table 1 summarizes the main characteristics of each one of the proposed solution.…”

Section: Road Surface Conditions Based On Accelerometers Readingsmentioning

confidence: 99%

“…Twenty (20) volunteers installed the Streetcheck application on their personal mobile devices. Whenever possible, these volunteers rated the stretches of road they were traveling in, either by car or by bus.…”

Section: Data Collectionmentioning

confidence: 99%

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A participatory sensing framework to classify road surface quality

Nunes

Mota

2019

J Internet Serv Appl

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Participatory sensing networks rely on gathering personal data from mobile devices to infer global knowledge. Participatory sensing has been used for real-time traffic monitoring, where the global traffic conditions are based on information provided by individual devices. However, fewer initiatives address asphalt quality conditions, which is an essential aspect of the route decision process. This article proposes Streetcheck, a framework to classify road surface quality through participatory sensing. Streetcheck gathers mobile devices' sensors such as Global Positioning System (GPS) and accelerometer, as well as users' ratings on road surface quality. A classification system aggregates the data, filters them, and extracts a set of features as input for supervised learning algorithms. Twenty volunteers carried out tests using Streetcheck on 1,200 km of urban roads of Minas Gerais (Brazil). Streetcheck reached up to 90.64% of accuracy on classifying road surface quality.

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