Challenged by urbanization and increasing travel needs, existing transportation systems
need new mobility paradigms. In this article, we present the emerging concept of …

The emerging connected autonomous vehicle (CAV) technology offers a significant
opportunity to address the congestion problem caused by the selfish routing behavior of …

We develop an online learning algorithm for a navigation platform to route travelers in a
congested network with multiple origin-destination (od) pairs while simultaneously learning …

We consider open games where players arrive according to a Poisson process with rate and
stay in the game for an exponential random duration with rate. The game evolves in …

Urban traffic congestion is a pressing issue, demanding effective and cost-efficient solutions.
This paper develops the Traffic Weighted Multi-Maps (TWM) method to solve the Traffic …

Credit-based congestion pricing (CBCP) has emerged as a mechanism to alleviate the
social inequity concerns of road congestion pricing-a promising strategy for traffic …

This paper proposes a projected Newton-like inertial dynamics for modeling second-order
day-to-day (DTD) traffic evolution with elastic travel demand. The proposed DTD model …

The core issue in ridesharing is designing reasonable algorithms to match drivers and
passengers. The ridesharing matching problem, influenced by various constraints such as …

Congestion pricing has long been hailed as a means to mitigate traffic congestion; however,
its practical adoption has been limited due to social inequity issues, eg, low-income users …

We consider the problem arising when two agents, each owning a set of jobs, compete to
schedule their jobs on a common processing resource. Each schedule implies a certain …