Mobility Crowdsourcing: Toward Zero-Effort Carpooling on Individual Smartphone

Abstract

In current carpooling systems, drivers and passengers offer and search for their trips through available mediums, for example, accessing carpool website by smartphone, for finding a possible match of the journey. While efforts have been made to achieve fast matching for known trips, the need for accurate mobile tracking for individual users still remains a bottleneck. For example, drivers feel impatient to input their routes before driving, or centralized systems haves difficulties to track a large number of vehicles in real time. In this paper, we present the idea of Mobility Crowdsourcing (MobiCrowd), which leverages private smartphone to collect individual trips for carpooling, without any explicit effort on the part of users. Our scheme generates daily trips and mobility models for each user, and then makes carpooling zero-effort by enabling travel data to be crowdsourced instead of tracking vehicles or asking users to input their trips. With prior mobility knowledge, one user's travel routes and positions for carpooling can be predicted according to the location of the time and other mobility context. Based on a realistic travel survey and simulation, we prove that our scheme can provide efficient and accurate position estimation for individual carpools.

Visitor Journey Application Development for Omni-Channels

“…The Case for Graph-based Recommendations [15] User experience Understanding Mobile Phone Activities via Retrospective Review of Visualizations of Usage Data [16] User experience Challenges on the Journey to Co-Watching YouTube [17] User journey, journey planning Development Plan for Research on Omni-Channel Shopping to Purchase Intention [18] Omni-channel Context-Aware User Modeling Strategies for Journey Plan Recommendation [19] User journey VICTour 1.1: Introducing virtual learning environments and gamification [20] User journey, virtual campus An Application of Game Technology to Virtual University Campus Tour and Interior Navigation [21] Virtual campus Just Browsing? Understanding User Journeys in Online TV [22] User journey Mobility Crowdsourcing: Toward Zero-Effort Carpooling on Individual Smartphone [23] User journey Customer Experience Modeling: Designing Interactions for Service Systems [24] User experience Redefining Touchpoints: An Integrated Approach for Implementing Omnichannel Service Concepts [25] Touchpoints, user experience…”

Compromising Location Privacies for Vehicles Cloud Computing

“…The users not only act as a data supplier but also act as maintainer who can evaluate and calibrate the location result. In parallel, we are being witness of fast-growing needs for improving driving experiences based on crowdsourcing like road traffic-aware trip planning (Artikis et al, 2014), alert broadcasting (Suriyapaibonwattana and Pomavalai, 2008) or car-pooling services (Liu et al, 2013).…”

Questões sobre a integração de novos meios de mobilidade ao plano de mobilidade urbana e transporte de Curitiba

“…Isso possibilitou o aparecimento de sistemas de partilhamento de trajeto em veículo dinâmico (Dynamic carpooling), sistema no qual é associada a gestão de localização em tempo real da disponibilidade e da demanda visando à obtenção de uma correspondência instantânea e inteligente entre condutor-veículo disponível e pedestres necessitando de transporte a partir de um ponto A para um ponto B. Toda a gestão é realizada por uma interface disponível tanto em computadores como em tablets e smartphones (LIU et al, 2013), com a garantia de um serviço confiável e responsável.…”