Results 61 to 70 of about 75,851 (262)
Aggregate Modeling and Equilibrium Analysis of the Crowdsourcing Market for Autonomous Vehicles [PDF]
arXiv, 2021 Autonomous vehicles (AVs) have the potential of reshaping the human mobility in a wide variety of aspects. This paper focuses on a new possibility that the AV owners have the option of "renting" their AVs to a company, which can use these collected AVs to provide on-demand ride services without any drivers.
arxiv
Spatial crowdsourcing with mobile agents in vehicular networks [PDF]
Vehicular Communications, 2019 In the last years, the automotive industry has shown interest in the addition of computing and communication devices to cars, thanks to technological advances in these fields, in order to meet the increasing demand of “connected” applications and services. Although vehicular ad hoc networks (VANETs) have not been fully developed yet, they could be used
Oscar Urra, Sergio Ilarri
openaire +4 more sources
Crisis Analytics: Big Data Driven Crisis Response [PDF]
, 2016 Disasters have long been a scourge for humanity. With the advances in technology (in terms of computing, communications, and the ability to process and analyze big data), our ability to respond to disasters is at an inflection point.
Ali, Anwaar +5 more
core +2 more sources
Analyzing Crowdsourced Mobile Content: Do Games Make a Difference?
Journal of Information Science Theory and Practice, 2017 Populating information-rich online environments through crowdsourcing is increasingly becoming popular. One approach to motivate participation is via games.
Pe-Than, Ei Pa Pa +2 more
doaj +1 more source
Ridesharing and Crowdsourcing for Smart Cities: Technologies, Paradigms and Use Cases
IEEE Access, 2023 Recent technology developments and the numerous availabilities of mobile users, devices and Internet technologies together with the growing focus on reducing traffic congestion and emissions in urban areas have led to the emergence of new paradigms for ...
Kah Phooi Seng +3 more
doaj +1 more source
A Deep Learning Spatiotemporal Prediction Framework for Mobile Crowdsourced Services [PDF]
, 2018 This papers presents a deep learning-based framework to predict crowdsourced service availability spatially and temporally. A novel two-stage prediction model is introduced based on historical spatio-temporal traces of mobile crowdsourced services. The prediction model first clusters mobile crowdsourced services into regions.
arxiv +1 more source
Crowdsourcing Mobile Web Applications [PDF]
, 2013 Building Mobile Web or Hypermedia Applications is usually difficult since there is a myriad of issues to take into account. Moreover adding support for personalized or context-aware behaviors goes far beyond the possibilities of many kinds of organizations that intend to build this kind of software (museums, city halls, etc). In this article we present
Gustavo Rossi +4 more
openaire +2 more sources
A Case of Mobile App Reviews as a Crowdsource [PDF]
International Journal of Information Engineering and Electronic Business, 2015 Crowdsourcing is a famous technique to get innovative ideas and soliciting contribution from a large online community particularly in e-business. This technique is contributing towards changing the current business techniques and practices. It is also equally famous in analysis and design of m-business services.
Usman Shehzaib +2 more
openaire +1 more source
Build an app and they will come? Lessons learnt from trialling the GetThereBus app in rural communities [PDF]
, 2017 Acknowledgements The research described here was supported by the award made by the RCUK Digital Economy programme to the dot.rural Digital Economy Hub; award reference: EP/G066051/1.Peer ...
Beecroft, Mark +7 more
core +2 more sources
Horizontal Integrated Framework for Mobile Crowdsensing
IEEE Access, 2021 Mobile crowdsensing is a promising paradigm to leverage the power of people to collect large-scale spatially distributed data. This concept has been intensely studied to efficiently and securely complete sensing tasks at lower cost.
Yu Nakayama
doaj +1 more source