ITS Berkeley

In this paper we propose a model for mixed traffic composed of few Connected and Automated Vehicles (CAVs) in the bulk flow. We rely on a multi-scale approach, coupling a Partial Differential Equation describing the overall traffic flow and Ordinary Differential Equations accounting for CAV trajectories, which act as moving bottlenecks on the surrounding flux. In our framework, CAVs are allowed to overtake (if on different lanes) or merge (if on the same lane). Controlling CAV desired speeds allows to act on the system to minimize any traffic density dependent cost function. More precisely...

This paper estimates the congestion status of community areas in the city of Chicago through multiple congestion metrics with different data-driven methodologies. Using publicly accessible taxi trip data, we compute two congestion metrics: mean velocity and the congested vehicle miles traveled (VMT) ratio. A single-layered perceptron can effectively estimate the congestion index based on the mean velocity for each community area at each 15-minute interval, using the historical congestion estimates data as the ground truth. We use K-Means clustering to assign the congestion index to the...

In this paper we present a non-local numerical scheme based on the Local Discontinuous Galerkin method for a non-local diffusive partial differential equation with application to traffic flow. In this model, the velocity is determined by both the average of the traffic density as well as the changes in the traffic density at a neighborhood of each point. We discuss nonphysical behaviors that can arise when including diffusion, and our measures to prevent them in our model. The numerical results suggest that this is an accurate method for solving this type of equation and that the model can...

Electric road systems (ERS), where power is delivered to the vehicles as they drive, are an intriguing option for road freight sector electrification. In order to analyse various aspects of their operation, such as their economical feasibility, or their influence on the power system, appropriate modelling approaches are needed. While microscopic, agent-based models have successfully been used for this purpose, their complexity makes them unsuitable for control design and implementation. In this work, we propose a macroscopic model, capturing the interaction between the ERS and Heavy-Duty...