Modern vehicles are gradually becoming powerful mobile sensing, communication,
computing and storage platforms, which bring about the concept of vehicular urban sensing …

Vehicular Crowd-Sensing (VCS) is a well-known data collection approach leveraging
sensors of connected vehicles to efficiently gather contextual information in urban …

Mobile crowdsensing (MCS) is a promising sensing paradigm based on the mobile node
which provides the solution with cost-effectiveness to perform urban data collection. To …

Vehicular Crowdsensing (VCS) aims to collect sensing data over a range of areas using a
large number of on-board sensors and resources in intelligent vehicles. The mobility of …

In traditional practices of transportation system's constructions, traffic-related information is
collected based on dedicated sensor networks, which are not only coverage-limited but also …

Mobile crowd sensing (MCS) enables many smart city applications (eg, transportation
monitoring/management, environmental monitoring, etc.). Recently, MCS systems built on …

Mobile crowdsensing is an emerging paradigm that selects users to complete sensing tasks.
Recently, mobile vehicles are adopted to perform sensing data collection tasks in the urban …

Vehicular crowdsensing (VCS) takes the advantage of vehicles' mobility and exploits both
the crowd wisdom and sensing abilities offered by vehicle drivers' carried smart mobile …

Current vehicles are equipped with a number of environmental sensors to improve safety
and quality of life for passengers. Many researchers have shown that these sensors can also …

Vehicle fleets with on-board sensors hold promise for cost-effective mobile crowdsensing in
urban areas. How such a vehicle fleet navigate collectively through a road network is critical …