It is crucial to precisely estimate the municipal solid waste (MSW) amount for its sustainable
management. Owing to learning complicated and abstract features between the factors and …

Short-term demand forecasting for on-demand ride-hailing services is a fundamental issue
in intelligent transportation systems. However, previous research predominantly focused on …

As a flourishing basic transportation service in recent years, online car-hailing has made
great achievements in metropolitan cities. Accurate spatiotemporal forecasting plays a …

In recent years, online ride-hailing has become an indispensable part of residents' travel
mode. Therefore, the prediction of online ride-hailing travel demand has become extremely …

Accurate estimation of ride-hailing demand and understanding of its influencing factors are
necessary for modern-day transportation planning. Although modern machine learning …

Accurate and real-time passenger flow prediction of rail transit is an important part of
intelligent transportation systems (ITS). According to previous studies, it is found that the …

Demand forecasting is an important method for dealing with the supply-demand relationship
in social resource management. The demands of daily life discussed in this study are mainly …

This paper collects and analyses the impact of weather, air quality and point of interest data
on residents' daily travel, establishes a fusion model combined the convolutional neural …