With the aging trend in megacities, the travel behaviors of the elderly have attracted much
attention. Accurate prediction of the travel behaviors of the elderly is a key link to meet the …

Optimizing airport operational performance requires analyzing large-scale and noisy taxiing
aircraft trajectory data on the ground, such as the airport surface detection equipment, model …

A more complete taxi pick‐ups prediction going beyond the conditional expectation would
be more beneficial to allocate taxis effectively. Prior works have predicted the conditional …

Understanding intra-urban travel patterns is beneficial for urban planning and transportation
management, among other fields. As an emerging travel mode, online car-hailing platforms …

In recent decades, the intelligent transportation system (ITS) has gotten extensive
consideration, because of greater levels of popularity for road safety and productivity in …

Inter-city transportation plays an important role in modern cities, and has accumulated
massive spatio-temporal data from various sensors by IoT (Internet of things) technologies …

To improve the prediction for the future air quality trends, the demand for low-cost sensor-
based air quality gird monitoring is growing gradually. In this study, a low-cost multi …

Understanding driver behavior in on-demand mobility services is crucial for designing
efficient and sustainable transport models. Drivers' delivery strategy is well understood, but …

In urban road networks, there are many segments without any detectors installed. The
presence of these segments with unknown volumes makes it challenging to deduce city …

One of the most challenging facets of dynamic ride-sharing problems is the automated
matching process, especially in large-scale networks where the number of received …