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 develops a novel linear programming formulation for autonomous intersection
control (LPAIC) accounting for traffic dynamics within a connected vehicle environment …

Node models for macroscopic simulation have attracted relatively little attention in the
literature. Nevertheless, in dynamic network loading (DNL) models for congested road …

Improving the system performance of a traffic network by dynamically controlling the routes
of connected and automated vehicles (CAVs) is an appealing profit that CAVs can bring to …

Traffic management can prevent too many vehicles in a traffic network from reducing traffic
performance. In particular, traffic can be routed so that the bottlenecks are not oversaturated …

Abstract The Newell-Daganzo merge model is not only very simple but also accurately
reproduces experimental findings. However, the capacity downstream of the merge is an …

Large-scale traffic flow models based on the Network Macroscopic Fundamental Diagram
(MFD) are usually grounded on the bathtub analogy and a conservation equation for vehicle …

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 we present a continuous-time network loading procedure based on the Lighthill–
Whitham–Richards model proposed by Lighthill and Whitham (1955) and Richards (1956) …

This paper describes a numerical solution method for a dynamic network loading model that
is consistent with the first order kinematic wave theory. The proposed procedure, called link …