Traffic congestion is a perpetual problem for the sustainability of transportation development.
Traffic congestion causes delays, inconvenience, and economic losses to drivers, as well as …

Cooperative adaptive cruise control (CACC) systems have the potential to increase traffic
throughput by allowing smaller headway between vehicles and moving vehicles safely in a …

The new era of sharing information and “big data” has raised our expectations to make
mobility more predictable and controllable through a better utilization of data and existing …

Traffic waves are phenomena that emerge when the vehicular density exceeds a critical
threshold. Considering the presence of increasingly automated vehicles in the traffic stream …

It has been well recognized that human driver's limits, heterogeneity, and selfishness
substantially compromise the performance of our urban transport systems. In recent years, in …

Traffic state estimation (TSE) refers to the process of the inference of traffic state variables
(ie, flow, density, speed and other equivalent variables) on road segments using partially …

Abstract Lane-changing (LC), which is one of the basic driving behavior, largely impacts on
traffic efficiency and safety. Modeling an LC process is challenging due to the complexity …

This paper provides formulations of traffic operational capacity in mixed traffic, consisting of
automated vehicles (AVs) and regular vehicles, when traffic is in equilibrium. The capacity …

This paper proposes a stochastic model for mixed traffic flow with human-driven vehicles
(HVs) and automated vehicles (AVs). The model is formulated in Lagrangian coordinates …

This paper comprehensively reviews recent developments in modeling lane-changing
behavior. The major lane changing models in the literature are categorized into two groups …