An integrated method based on wavelet modulus maxima and local Holder exponents for automatic phase detection and labelling of lane-changing execution

Congestion pricing in multi-modal networks: an application of deep reinforcement learning

An Ensemble Deep Learning Framework for Real-Time Queue Length Estimation at Signalized Intersections

Integrating road network operations planning into real-time traffic management: A conceptual framework

A scalable macro–micro approach for cooperative platoon merging in mixed traffic flows

Nonlinear model predictive control of large-scale urban road networks via average speed control

A hybrid modelling framework for the estimation of dynamic origin–destination flows

Multivariate time-varying Kalman filter approach for cycle-based maximum queue length estimation

Demand and state estimation for perimeter control in large-scale urban networks

Estimation of macroscopic fundamental diagram solely from probe vehicle trajectories with an unknown penetration rate

Data fusion for estimating Macroscopic Fundamental Diagram in large-scale urban networks

Staggered work schedules for congestion mitigation: a morning commute problem

Dedicated bus lane network design under demand diversion and dynamic traffic congestion: An aggregated network and continuous approximation model approach

CLACD: A complete LAne-Changing decision modeling framework for the connected and traditional environments

Schedule-Constrained Demand Management in Two-Region Urban Networks

Incorporating congestion patterns into spatio-temporal deep learning algorithms

Robust perimeter control with cordon queues and heterogeneous transfer flows

Detecting, analysing, and modelling failed lane-changing attempts in traditional and connected environments

A methodology for identifying critical links and estimating macroscopic fundamental diagram in large-scale urban networks

Understanding the discretionary lane-changing behaviour in the connected environment