With increasing more powerful sensing capacities of mobile devices, the Mobile Crowd
Sensing (MCS) system requires to collect larger sensing data from participants …

Map-matching is essential for almost all intelligent transportation systems, including context
and personalized services. To support real-time intelligent transportation services, online …

Visual crowdsensing applications using built-in cameras in smartphones have recently
attracted researchers' interest. Making the most out of the limited resources to acquire the …

Mobility models, which reproduce traces with basic crowd mobility patterns, are crucial for
realistic mobile network simulation and performance evaluation of the planning strategies …

During the last decade, evolutions in Information and Communication technologies (ICT)
such as cloud computing, wireless networks and mobile computing, have accelerated the …

Navigation services using digital maps make people's travel much easier. However, these
services often fail to provide specific routes to those destinations that lack micro data in …

Driving behavior optimization not only lowers the occurrence probability of the traffic
accident and pollutant emissions, but also improves the energy efficiency level. Current …

While much research has been devoted to algorithm improvement of the machine learning
model for multimedia applications, relatively little research has focused on the acquisition of …

While sensor networks have been pervasively deployed in the real world, more and more
mobile crowdsensing (MCS) applications have come into realization to collaboratively detect …

Abstract For supporting Artificial Intelligence (AI) applications of connected vehicles, sensing
data is collected by Service Providers (SPs) as input to AI models to execute model …