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 …

abstract Given that the cumulative prospect theory provides a well-supported descriptive
paradigm for decision making under risk or uncertainty, previous studies applied the theory …

Route choice models have important theoretical value and practical significance for the
systematic analysis of urban transportation. The method utilized to determine the reference …

We propose a new method for mitigating risk in routing hazardous materials (hazmat), based
on the conditional value-at-risk (CVaR) measure on time-dependent vehicular networks. The …

This paper proposes a generalized model to estimate the peak hour origin–destination (OD)
traffic demand variation from day-to-day hourly traffic counts throughout the whole year …

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 …

Due to the presence of transportation infrastructure in metropolitan areas, authorities often
seek to modify the capacity of existing urban transportation links. Therefore, to meet travel …

This paper proposes a multi-modal transport network assignment model considering
uncertainties in both demand and supply sides of the network. These uncertainties are due …

This article proposes a cell‐based multi‐class dynamic traffic assignment problem that
considers the random evolution of traffic states. Travelers are assumed to select routes …

Travel time, travel time reliability and monetary cost have been empirically identified as the
most important criteria influencing route choice behaviour. We concentrate on travel time …