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

Understanding the resilience of transportation networks has received considerable research
attention. Nevertheless in the field of network traffic flow control, few control approaches …

Modern urban centers have one of the most critical challenges of congestion. Traditional
electronic toll collection systems attempt to mitigate this issue through pre-defined static …

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 …

Maritime traffic can reflect the diverse and complex relations between countries and regions,
such as economic trade and geopolitics. Based on the AIS (Automatic Identification System) …

Connected and automated vehicles (CAVs) and regular human-piloted vehicles (RVs) will
coexist in the near future. Research has indicated the feasibility of using CAVs to stabilize …

In this paper, we devise three day-to-day (DTD) road pricing schemes from their static
counterparts to achieve several traffic management objectives such as regulating the traffic …

As electric vehicle (EV) penetration increases, the mixed traffic of EVs and gasoline vehicles
(GVs) will be prevalent in roadway systems for a long time. Meanwhile, EV incentive …

When multiple equilibria exist, the desired traffic equilibrium, may not be reached through a
day-to-day dynamic adjustment process. Han et al.[“Discrete-Time Day-to-Day Dynamic …

To explore the influence of intelligent highways and advanced traveler information systems
(ATIS) on path choice behavior, a day-to-day (DTD) traffic flow evolution model with …