The fact that road transportation negatively affects the quality of the environment and
deteriorates its bearing capacity has drawn a wide range of concerns among researchers. In …

This paper presents a review and classification of traffic assignment models for strategic
transport planning purposes by using concepts analogous to genetics in biology. Traffic …

This paper focuses on the analytical probabilistic modeling of vehicular traffic. It formulates a
stochastic node model. It then formulates a network model by coupling the node model with …

In this study, we develop a stochastic dynamic network loading (DNL) model for the mixed
traffic with autonomous vehicles (AVs) and human-driven vehicles (HVs). The source of …

In this paper a novel iterative algorithm is presented for the link transmission model, a fast
macroscopic dynamic network loading scheme. The algorithm's solutions are defined on a …

This paper describes the road traffic assignment model Static Traffic Assignment with
Queuing (STAQ) that was developed for situations where both static (STA) and dynamic …

First-order network flow models are coupled systems of differential equations which describe
the build-up and dissipation of congestion along network road segments, known as link …

In this paper we propose a novel static traffic assignment model where the network loading
component accounts for non-stationary residual queues as well as spillback effects by …

The kinematic wave theory is widely used to simulate traffic flows on road segments. Link
transmission models are methods to find a solution to the kinematic wave model, however …

Planning assessment of urban walking infrastructure requires appropriate modeling
methodologies that capture the time-dependent and unique microscopic characteristics of …