A hybrid machine‐learning model, integrating an artificial neural network (ANN) and a
support vector machine (SVM) model, is developed to predict spatiotemporal delays, subject …

Holiday passenger flow forecasting is essential to transportation plan-making and
passenger flow organization in metro systems during holidays. Usually, daily passenger flow …

Highway lane closures due to road reconstruction and the resulting work zones have been a
major source of nonrecurring congestion on freeways. It is extremely important to calculate …

The station-level ridership during the peak hour is one of the key indicators for the design of
station size and relevant facilities. However, with the operation of metro system, it cannot be …

Work zones have become the second largest contributor to the nonrecurring delay
disruptions of traffic on US highways. The development of a sound model to minimize the …

Short-term road maintenance activity is an important factor leading to nonrecurring
congestion. To reduce such congestion, a nonparametric method is proposed to optimize …

A hybrid machine-learning model, integrating an artificial neural network (ANN) and a
support vector machine (SVM) model, is developed to predict spatiotemporal delays, subject …