Modeling traffic at sags

Analysis of Stochasticity and Heterogeneity of Car-Following Behavior Based on Data-Driven Modeling

Traffic dynamics on freeways are stochastic in nature because of errors in perception and operation of drivers as well as the heterogeneity between and within drivers. This stochasticity is often represented in car-following models by a stochastic term, which is assumed to follow a normal distribution for the convenience of mathematical...

Quantifying the number of lane changes in traffic: Emperical analysis

Lane changes are an important aspect of freeway flow. Most lane change models are microscopic, describing whether individual vehicles/drives will change lanes, and hence are calibrated microscopically. Macroscopic validation often is restricted to the distribution of vehicles across lanes. To the best of our knowledge, no systematic analysis has...

Quantifying the number of lane changes in traffic: An empirical analysis (poster)

Since lane changes influence traffic operations, it is useful to know their frequency for various conditions. This paper studies the number of lane changes as function of the roadway characteristics. Two sites are studied, for which individual lane change data is available. The paper shows that the most constant measure is the lane change rate,...

Quantifying the number of lane changes in traffic: An empirical analysis

Lane changes are an important aspect of freeway flow. Most lane change models are microscopic, describing whether individual vehicles/drives will change lanes, and hence are calibrated microscopically. Macroscopic validation often is restricted to the distribution of vehicles across lanes. To the best of our knowledge, no systematic analysis has...