Accurate estimation of the traffic state can help to address the issue of urban traffic
congestion, providing guiding advices for people's travel and traffic regulation. In this paper …

Traffic problems continue to deteriorate because of increasing population in urban areas
that rely on many modes of transportation, the transportation infrastructure has achieved …

Traffic flow prediction is an important precondition to alleviate traffic congestion in large-
scale urban areas. Recently, some estimation and prediction methods have been proposed …

Extracting features from crowd flow analysis has become an important research challenge
due to its social cost and the impact of inadequate planning of high-quality services and …

Because of the rapid changes in traffic conditions caused by various circumstances, such as
road construction and traffic jams, the distribution of the traffic volume data changes over …

Currently, many types of traffic data from different advanced data collection techniques are
available. Plenty of effort has been spent to take full advantage of the heterogeneous data to …

Harmful algal blooms (HABs) diminish the utility of reservoirs for drinking water supply,
irrigation, recreation, and ecosystem service provision. HABs decrease water quality and are …

Road traffic congestion has a large impact on travel. The accurate prediction of traffic
congestion has become a hot topic in intelligent transportation systems (ITS). Recently, a …

Traffic congestion prediction is an important precondition to promote urban sustainable
development. Nevertheless, there is a lack of a unified prediction method to address the …

Due to the increasingly complex objects and massive information involved in spatial
statistics analysis, least squares support vector regression (LS-SVR) with a good stability …