Origin-destination~(OD) flow modeling is an extensively researched subject across multiple
disciplines, such as the investigation of travel demand in transportation and spatial …

As an emerging and sustainable mode of traffic, the widespread ridesharing programs can
fully utilize existing vehicle resources and reshape traffic flow distribution. The study aims to …

Predicting the travel demand plays an indispensable role in urban transportation planning.
Data collection methods for estimating the origin–destination (OD) demand matrix are being …

Understanding equity and travelers' behavior plays a key role in creating suitable strategies
to promote the development of the expressway. Especially, finding clusters of expressway …

In transport demand analysis, the calibration of a model means estimation of its
(endogenous) parameters from observed data with an inference statistical estimator. Indeed …

Estimation of a travel demand in a form of origin-destination (OD) matrix is a necessary step
in a city-scale simulation of the vehicular mobility. However, an input data on travel demand …

System-level decision making in transportation needs to understand day-to-day variation of
network flows, which calls for accurate modeling and estimation of probabilistic dynamic …

为探索交通系统不确定性和出行者心理感知差异对出行路径选择行为的影响,
将路网可靠性和有限理性融入出行者的路径选择决策中, 提出双目标交通网络均衡模型 …

Research suggests that the literature around teachers' technology experiences, variously
lack currency, breadth, consistency, and depth. The purpose of this qualitative descriptive …

The estimation of the network traffic state, its likely short-term evolution, the prediction of the
expected travel times in a network, and the role that mobility patterns play in transport …