This paper reviews the main studies on transit users' route choice in the context of transit
assignment. The studies are categorized into three groups: static transit assignment, within …

Connected vehicles (CVs), be they autonomous vehicles or a fleet of cargo carriers or Uber,
are a matter of when they become a reality and not if. It is not unreasonable to think that CV …

Systematic uncertainty analysis can be used to quantitatively evaluate variation in model
outputs and identify the critical sources of uncertainty to improve the reliability and stability of …

This article proposes a nonlinear complementarity problem (NCP) formulation for the risk‐
aversive stochastic transit assignment problem in which in‐vehicle travel time, waiting time …

ABSTRACT A path-based algorithm is developed for the static traffic assignment problem
(TAP). In each iteration, it decomposes the problem into origin-destination (OD) pairs and …

The problem of traffic assignment consists of determining the routes taken by the users of
transportation infrastructure. This problem has been the subject of numerous studies …

A frequency-based path flow estimator is proposed to estimate the transit passenger origin–
destination (OD) matrix in an urban congested transit network. The proposed model not only …

This paper addresses the problem of solving the congested transit assignment problem with
strict capacities. The model under consideration is the extension made by Cominetti and …

The traffic assignment problem (TAP) is traditionally defined without side constraints.
Although introducing side constraints into the TAP is used as a way of refining applied …

This paper is concerned with the problem of finding optimal sub-routes from a set of
predefined candidate transit routes with the objectives of maximizing transit ridership as well …