… Consider the existing urban traffic management schemes to avoid congestion and to … IoT
using a Mobile crowd sensing-based traffic congestion control model. Mobile crowdsensing has …

… the vehicular transportation systems, Mobile Crowd Sensing (MCS… in vehicular transportation
systems to improve the quality of … real time traffic detail for traffic management to avoid traffic …

… urban spaces. In this article, we describe main concepts, methods and technologies of mobile
crowd sensing … to support smart urban mobility through participation and intelligence of the …

… In this paper, we refer to picture-taking-based MCS apps as visual crowd sensing (VCS)
apps [11]–[13] and propose CrowdTracker—a VCS-based system that recruits an optimal set of …

… smartphone possession, mobile crowd sensing (MCS) has been applied to many research
fields, such as environment monitoring, smart transportation, urban management, and public …

… areas for traffic management in SIoV. Given the significance of traffic management in
urban areas, we investigate a crowdsensing-based framework to provide timely response for …

… As we know, Mobile Crowd Sensing (MCS) is developing … friends), or public infrastructure
(traffic, potholes). For example, in an … a highly intelligent urban transportation system for drivers, …

… Urban traffic mobile crowd sensing (Urban Traffic MCS) has emerged as a new effective
paradigm of sensing … traffic management, especially intelligent transportation systems [1], [2]. An …

… Then, we review the traditional traffic prediction approached … On this basis, we propose a
mobile crowd sensing technology to … This algorithm is appropriate for city traffic management, …

… the shared sensed data provides useful insights for smart urban space monitoring … crowd
sourcing concept in traffic management was proposed by GL Graunke. A large amount of traffic …