Understanding the inter-relationships between traffic flow, density, and speed through the
study of the fundamental diagram of road traffic is critical for traffic modelling and …

Traffic in an urban network becomes congested once there is a critical number of vehicles in
the network. To improve traffic operations, develop new congestion mitigation strategies …

Traffic-responsive signal control is a cost-effective, easy-to-implement, network management
strategy, bearing high potential to improve performance in heavily congested networks with …

The present work proposes a global framework to estimate all MFD model parameters using
mobile phone data. The three major components that are estimated in the present context …

Urban road transportation performance is the result of a complex interplay between the
network supply and the travel demand. Fortunately, the framework around the macroscopic …

Improving the performance of an existing transportation system is a challenge for engineers
and policy makers as many dimensions and system design variables are interacting. In this …

This study proposes a novel flexible bus dispatching system in which a fleet of fully
automated modular bus units, together with conventional buses, serves the passenger …

Since the concept of the Macroscopic Fundamental Diagram (MFD) has been introduced,
many studies have investigated the existence and characteristics of the MFD using empirical …

Network traffic flow prediction on a fine-grained spatio-temporal scale is essential for
intelligent transportation systems, and extensive studies have been carried out in this area …

Measurements of the average properties of vehicular traffic are inherently noisy. The
distributions of flow and speed measurements at any particular density are non-Gaussian …