This research examines whether transportation network companies (TNCs), such as Uber
and Lyft, live up to their stated vision of reducing congestion in major cities. Existing …

Short-term traffic prediction provides tools for improved road management by allowing the
reduction of delays, incidents and other unexpected events. Different real-time approaches …

Autonomous vehicles have the potential to improve link and intersection traffic behavior.
Computer reaction times may admit reduced following headways and increase capacity and …

Shared autonomous vehicles (SAVs) could provide low-cost service to travelers and
possibly replace the need for personal vehicles. Previous studies found that each SAV could …

Agent-based modeling and simulation (ABMS) methods have been applied in a spectrum of
research domains. This primer focuses on ABMS in the transportation interdisciplinary …

We study the shared autonomous vehicle (SAV) routing problem while considering
congestion. SAVs essentially provide a dial-a-ride service to travelers, but the large number …

A lane-level vehicle routing and navigation apparatus includes a simulation module that
performs microsimulation of individual vehicles in a traffic stream, and a lane-level optimizer …

Mobile energy storage systems (MESSs) is a promising solution to enhancing the
operational flexibility of coupled distribution and transportation networks (CDTNs), as well as …

Centralized solutions for vehicular traffic re-routing to alleviate congestion suffer from two
intrinsic problems: scalability, as the central server has to perform intensive computation and …

Real-time coordinated traffic management strategies that benefit from parsimonious models
with aggregated network dynamics, provide a new generation of smart hierarchical …