Abstract Dynamic Traffic Assignment (DTA) has been studied for more than four decades
and numerous reviews of this research area have been conducted. This review focuses on …

In this paper, we propose a new model called the α-reliable mean-excess traffic equilibrium
(METE) model that explicitly considers both reliability and unreliability aspects of travel time …

This paper proposes a unified approach to modeling heterogonous risk-taking behavior in
route choice based on the theory of stochastic dominance (SD). Specifically, the first …

Dynamic shared autonomous taxi (SAT) systems are regarded as a promising means of
improving travel flexibility. With no human drivers, SATs urgently require precise traffic …

Finding a reliable shortest path (RSP) in a stochastic network is a fundamental problem in
transportation science. Link travel time correlation significantly affects path reliability, but …

Travelers often reserve a buffer time for trips sensitive to arrival time in order to hedge
against the uncertainties in a transportation system. To model the effects of such behavior …

Most existing studies on routing guidance only paid attention to the average path travel time,
which failed to consider travel time reliability (TTR) preferences by different travelers. In this …

This article proposes an innovative path finding algorithm to achieve on-time arrival
reliability on road networks under uncertainty with stochastic delays at signalized …

This paper studies a mean-standard deviation shortest path model, also called travel time
budget (TTB) model. A route's TTB is defined as this route's mean travel time plus a travel …

This paper develops an adaptive navigation approach for risk-averse travelers in a
stochastic network while considering on-time arrival reliability, in which travelers' final utility …