Personalizing Pedestrian Accessible way-finding with mPASS

Mirri, Silvia; Prandi, Catia; Salomoni, Paola

doi:10.1109/ccnc.2016.7444946

Cited by 50 publications

(21 citation statements)

References 20 publications

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“…For instance, in one of the early works, Prandi et al, [10] explored the potentials of the crowdsourcing communities in improving data access and services in the field of disable pedestrian mobility. Similar works have been followed by [11][12][13][14][15][16][17][18][19]. Among those, mPASS [19] presents a valuable mobile pervasive accessibility social sensing framework.…”

Section: Introductionmentioning

confidence: 84%

Wheelmap: the wheelchair accessibility crowdsourcing platform

Mobasheri

Deister²,

Dieterich³

2017

Open geospatial data, softw. stand.

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Crowdsourcing (geo-) information and participatory GIS are among the current hot topics in research and industry. Various projects are implementing participatory sensing concepts within their workflow in order to benefit from the power of volunteers, and improve their product quality and efficiency. Wheelmap is a crowdsourcing platform where volunteers contribute information about wheelchair-accessible places. This article presents information about the technical framework of Wheelmap, and information on how it could be used in projects dealing with accessibility and/or multimodal transportation.

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Section: Introductionmentioning

confidence: 84%

Wheelmap: the wheelchair accessibility crowdsourcing platform

Mobasheri

Deister²,

Dieterich³

2017

Open geospatial data, softw. stand.

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“…WEMAP [16] intends to improve these offers, generating door-to-door routes, using crowdsourcing data and information from local businesses' websites. mPASS system [50], WheelShare [51], and Wegoto [52] collect crowdsensing data, taking advantage of the sensory and computational resources of smartphones. When users are on the move, the data provided by accelerometers and gyroscopes is related to their physical location using GPS.…”

Section: Related Workmentioning

confidence: 99%

NOVA Mobility Assistive System: Developed and Remotely Controlled with IOPT-Tools

et al. 2020

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In this paper, a Mobility Assistive System (NOVA-MAS) and a model-driven development approach are proposed to support the acquisition and analysis of data, infrastructures control, and dissemination of information along public roads. A literature review showed that the work related to mobility assistance of pedestrians in wheelchairs has a gap in ensuring their safety on road. The problem is that pedestrians in wheelchairs and scooters often do not enjoy adequate and safe lanes for their circulation on public roads, having to travel sometimes side by side with vehicles and cars moving at high speed. With NOVA-MAS, city infrastructures can obtain information regarding the environment and provide it to their users/vehicles, increasing road safety in an inclusive way, contributing to the decrease of the accidents of pedestrians in wheelchairs. NOVA-MAS not only supports information dissemination, but also data acquisition from sensors and infrastructures control, such as traffic light signs. For that, it proposed a development approach that supports the acquisition of data from the environment and its control while using a tool framework, named IOPT-Tools (Input-Output Place-Transition Tools). IOPT-Tools support controllers’ specification, validation, and implementation, with remote operation capabilities. The infrastructures’ controllers are specified through IOPT Petri net models, which are then simulated using computational tools and verified using state-space-based model-checking tools. In addition, an automatic code generator tool generates the C code, which supports the controllers’ implementation, avoiding manual codification errors. A set of prototypes were developed and tested to validate and conclude on the feasibility of the proposals.

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“…Recently, scholars have discovered that distance is not the only factor that humans take into consideration when preferring a route over another [17][18][19]. In fact, some studies have suggested that some individuals may even deviate up to approximately a 30% from the shortest path in exchange for a pleasant journey [20]. The factors that may influence the users' decisions are varied.…”

Section: Related Workmentioning

confidence: 99%

Towards a Persuasive Recommender for Bike Sharing Systems: A Defeasible Argumentation Approach

et al. 2019

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This work proposes a persuasion model based on argumentation theory and users’ characteristics for improving the use of resources in bike sharing systems, fostering the use of the bicycles and thus contributing to greater energy sustainability by reducing the use of carbon-based fuels. More specifically, it aims to achieve a balanced network of pick-up and drop-off stations in urban areas with the help of the users, thus reducing the dedicated management trucks that redistribute bikes among stations. The proposal aims to persuade users to choose different routes from the shortest route between a start and an end location. This persuasion is carried out when it is not possible to park the bike in the desired station due to the lack of parking slots, or when the user is highly influenceable. Differently to other works, instead of employing a single criteria to recommend alternative stations, the proposed system can incorporate a variety of criteria. This result is achieved by providing a defeasible logic-based persuasion engine that is capable of aggregating the results from multiple recommendation rules. The proposed framework is showcased with an example scenario of a bike sharing system.

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Personalizing Pedestrian Accessible way-finding with mPASS

Cited by 50 publications

References 20 publications

Wheelmap: the wheelchair accessibility crowdsourcing platform

Wheelmap: the wheelchair accessibility crowdsourcing platform

NOVA Mobility Assistive System: Developed and Remotely Controlled with IOPT-Tools

Towards a Persuasive Recommender for Bike Sharing Systems: A Defeasible Argumentation Approach

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