The theoretical analysis of traffic flow with empirical vehicle trajectory data contained within
this study allows for the explanation, reconstruction, and prediction of spatiotemporal …

The characterization of the dynamics of traffic states remains fundamental to seeking for the
solutions of diverse traffic problems. To gain more insights in traffic dynamics in the temporal …

New technologies able to register vehicle trajectories, such as GPS (Global Position
Systems)-enabled cell phones, have opened a new way of collecting traffic data. However …

Connected vehicles that communicate via vehicle-to-vehicle (V2V) and vehicle-to-
infrastructure (V2I) communication technologies have become a hot topic in the …

We address the controversial issue of traffic flow modeling, whether first-order, second-
order, or other traffic models are best supported by empirical facts and theoretical …

Although various approaches have been proposed for modeling day-to-day traffic flow
evolution, none of them, to the best of our knowledge, have been validated for disrupted …

Empirical and theoretical analyses of the spatiotemporal dynamics of traffic flow
reconstructed from randomly distributed probe vehicle data are presented. For the empirical …

Analyzing fine-resolution lane-changing behavior is of great significance in the traffic flow
modeling and safety assessment. The fact that lane-changing behavior varies over different …

This paper proposes a novel breakdown probability model based on microscopic driver
behavior for a freeway merge bottleneck. Extending Newell's car following model to describe …

In traffic system, driving behaviors change with the surrounding traffic perceived by drivers,
resulting in the complex spatio-temporal traffic patterns. Accordingly, in the majority of traffic …