From a transport perspective, increasing active travel–and walking in particular–is crucial for
the future of sustainable cities, as reflected in global decarbonisation policies and agendas …

Autonomous vehicles (AVs) show promise for increasing roadway safety and capacity.
During the AV transition era, which will be characterized by a mixed fleet of AVs and human …

Studies of transit dwell times suggest that the delay caused by passengers boarding and
alighting rises with the number of passengers on each vehicle. This paper incorporates such …

This paper satisfies the requirements for reliable and inexpensive congestion detection in
urban road networks. The objective of this research is to use fuzzy logic to detect the traffic …

The macroscopic fundamental diagram (MFD) is a large-scale description of the traffic in an
urban area and relates the average car flow to the average car density. This MFD has been …

The use of a macroscopic fundamental diagram (MFD) for perimeter control is an effective
strategy for managing traffic flow on regional road networks. However, existing methods …

Global sustainability requires low-carbon urban transport systems, shaped by adequate
infrastructure, deployment of low-carbon transport modes and shifts in travel behavior. To …

Diffusion on complex networks is a convenient framework to describe a great variety of
transport systems. Failure phenomena in a link of the network may simulate the presence of …

Understanding how local traffic congestion spreads in urban traffic networks is fundamental
to solving congestion problems in cities. In this work, by analyzing the high-resolution data of …

This paper proposes a data-driven approach using percolation theory to analyze the
resilience of highway networks under rainfall conditions. The proposed approach's main …