Deep spatio-temporal graph convolutional network for traffic accident prediction
Traffic accidents usually lead to severe human casualties and huge economic losses in real-
world scenarios. Timely accurate prediction of traffic accidents has great potential to protect …
world scenarios. Timely accurate prediction of traffic accidents has great potential to protect …
Spatial distribution, pollution level and human health risk assessment of heavy metals in urban street dust at neighbourhood scale
Urban street dust (UStD) is a vital issue for human health and is crucial for urban
sustainability. This study aims to enhance the creation of safe, affordable, and resilient cities …
sustainability. This study aims to enhance the creation of safe, affordable, and resilient cities …
Mobile crowdsensing as a service: a platform for applications on top of sensing clouds
Consumer-centric mobile devices, such as smartphones, are an emerging category of
devices at the edge of the Internet. Leveraging volunteers and their mobiles as a (sensing) …
devices at the edge of the Internet. Leveraging volunteers and their mobiles as a (sensing) …
Assessment of societal health risks: Spatial distribution and potential hazards of toxic metals in street dust across diverse communities
On a global scale, the urban design of city centers is a topic of discussion concerning
various aspects such development and its impact on public health. This research examines …
various aspects such development and its impact on public health. This research examines …
Gotcha ii: Deployment of a vehicle-based environmental sensing system
According to the World Health Organization (WHO), outdoor air pollution led to an estimated
3.7 million premature deaths worldwide in 2012. To address this problem, it is necessary for …
3.7 million premature deaths worldwide in 2012. To address this problem, it is necessary for …
Integration and exploitation of sensor data in smart cities through event-driven applications
Smart cities are urban environments where Internet of Things (IoT) devices provide a
continuous source of data about urban phenomena such as traffic and air pollution. The …
continuous source of data about urban phenomena such as traffic and air pollution. The …
Opportunistic sensing based detection of crowdedness in public transport buses
This paper presents an opportunistic sensing based solution to detect crowdedness in
public transportation buses. The solution uses data of accelerometer and Global Positioning …
public transportation buses. The solution uses data of accelerometer and Global Positioning …
Gosense: Efficient vehicle selection for user defined vehicular crowdsensing
TY Yu, X Zhu, H Chen - 2017 IEEE 85th Vehicular Technology …, 2017 - ieeexplore.ieee.org
The emergence of vehicular-Ad-Hoc network and Vehicular Cloud Computing bring about
potential for building powerful vehicular crowd-sensing system. Current research for modern …
potential for building powerful vehicular crowd-sensing system. Current research for modern …
Traffic Accident Prediction Based on Deep Spatio-Temporal Analysis
Traffic accidents usually lead to severe human casualties and huge economic losses. Timely
accurate prediction of traffic accidents has great potential to protect public safety and reduce …
accurate prediction of traffic accidents has great potential to protect public safety and reduce …