Purpose With various challenges in the digital era, stakeholders are expressing growing
interests in understanding the impact of emerging and disruptive technologies on freight …

World population growing in conjunction with the preference to live in the cities; make the
city management a challenging issue. Traditional Cities with their common features will not …

In a continuous data stream vehicular network environment, a Traffic Congestion Detection
Service (TCDS) receives many periodic information to update and discover road segments …

With the rapid development of smart cities, smart buildings are generating a massive amount
of building sensing data by the equipped sensors. Indeed, building sensing data provides a …

The full-scale spatio-temporal traffic flow estimation/prediction has always been a hot spot in
transportation engineering. The low coverage rate of detectors in transport networks brings …

Traffic flow information is of great importance for transport planning and related research.
The conventional methods of automated data collection, such as annual average daily traffic …

Intelligent Transportation Systems (ITSs) have been widely deployed to provide traffic
sensing data for a variety of smart traffic applications. However, the inevitable and …

The world's population is expanding, and people want to live in cities, making city
administration a difficult task. Traditional cities, with their shared characteristics, will be …

Prediction of pollution is an increasingly important problem. It can impact individuals and
their health, eg asthma patients can be greatly affected by air pollution. Traditional air …

Traffic cameras are a widely available source of open data that offer tremendous value to
public authorities by providing real-time statistics to understand and monitor the activity …