Travel time is an important measure for transportation system performance evaluation. In
particular, it is an essential input to the advanced traveler information systems and route …

We present a macroscopic model-based approach for the estimation of the total density and
flow of vehicles, for the case of “mixed” traffic, ie, traffic comprising both ordinary and …

Short‐term prediction of passenger flow is very important for the operation and management
of a rail transit system. Based on the traditional Kalman filtering method, this paper puts …

Accurate traffic flow forecasting (TFF) is significant for mitigating traffic congestion. To
address the existing issues of calculation and storage in dealing with big traffic flow data …

With the aim to improve road safety services in critical situations, vehicle trajectory and future
location prediction are important tasks. An infinite set of possible future trajectories can exit …

Short-term traffic flow prediction is an integral part in most of Intelligent Transportation
Systems (ITS) research and applications. Many researchers have already developed …

Traffic flow prediction is an essential part of intelligent transportation systems (ITS). Most of
the previous traffic flow prediction work treated traffic flow as a time series process only …

Short-term prediction is one of the essential elements of intelligent transportation systems
(ITS). Although fine prediction methodologies have been reported, most prediction methods …

Traffic state estimation is a challenging problem for the transportation community due to the
limited deployment of sensing infrastructure. However, recent trends in the mobile phone …

In order to develop efficient control strategies to improve traffic conditions on freeways, it is
necessary to know the state of the freeway at any point in time and space. Using data …