In this paper, we consider that the judgments provided by the decision makers (DMs) cannot
be aggregated and revised, then define them as hesitant judgments to describe the …

Traffic congestion is a global and crucial problem due to increase in demand and limited
network transportation structure. Complex traffic structure, imbalanced traffic flow, and …

Data on the daily activity of private cars form the basis of many studies in the field of
transportation engineering. In the past, in order to obtain such data, a large number of …

The work is devoted to the development of new methods and algorithms to support decision
making when planning air travel using uncertainties in the form of fuzzy numbers. The …

Urban traffic congestion remains a pressing chal-lenge in our rapidly expanding cities,
despite the abundance of available data and the efforts of policymakers. By leveraging …

The high cost of conventional surveys has motivated researchers to develop methods for
adjusting a prior Origin–destination (OD) matrix from easily available traffic counts. The …

In this paper, a new traffic assignment model is proposed based on fuzzy equilibrium
condition where perceived travel times of users are assumed to follow fuzzy values. First, a …

Abstract· A fundamental task in freight transportation planning is to estimate and forecast
freight vehicle demand between origin-destination (OD) pairs, including the prediction of the …

Knowledge about mobility patterns has become increasingly important to urban
development. In this work, public transit origin-destination (OD) mobility patterns are …

Determining trip demand matrix is among the basic data in transportation planning. This
matrix is derived by surveys, interviews with citizens or questionnaires that required time …