The dynamic origin–destination flow estimation (DODE) problem requires scalable methods
for large scale traffic networks and consistent techniques for capturing both uncongested …

To explore and alleviate large-scale failures under urban rail transit network accidents,
cascading failures are usually investigated integrating the network topology and passenger …

This paper introduces a predictive congestion pricing method in cities wherein the tolls alter
from region to region. We consider a large urban network is partitioned into multiple regions …

Connected automated vehicles (CAVs) have untapped potential to regulate mixed traffic by
orchestrating the movement of human-driven vehicles (HVs) at intersections. This research …

State observability and demand estimation are two main issues in large-scale traffic
networks which hinder real-world application of real-time control strategies. This study …

Perimeter control involves monitoring network-wide traffic and regulating traffic inflow to
alleviate hypercongestion. Implementation of transit priority with perimeter control measures …

This paper introduces a simulation-based dynamic model for emulating the network
equilibrium conditions considering path-and departure-time choices and incorporating the …

The often-discussed issue of parental escorting of children to school and its potential
disruption of traffic flow has been extensively examined in the literature. Still, the specific …

The Macroscopic Fundamental Diagram (MFD) is a parsimonious modelling tool for
monitoring and controlling urban traffic networks. MFD can be derived based on traffic data …

Urban traffic congestion remains a persistent issue for cities worldwide. Recent macroscopic
models have adopted a mathematically well-defined relation between network flow and …