This paper presents an abstract framework for the optimization of actuating and sensing
devices in distributed parameter systems. The optimization is performed on the repositioning …

A framework is presented to deploy a smartphone-based measurement system for road
vehicle traffic monitoring and usage-based insurance (UBI). Through the aid of a …

This article proposes a new approach for computing a semi-explicit form of the solution to a
class of Hamilton-Jacobi (HJ) partial differential equations (PDEs), using control techniques …

Abstract This paper studies Deep Convolutional Neural Networks (DCNNs) for the accurate
estimation of space–time traffic speeds given sparse data on freeways. Several aspects are …

This work establishes an abstract framework that considers the distributed filtering of
spatially varying processes using a sensor network. It is assumed that the sensor network …

Abstract Models are central to engineering. They are used for analysis, synthesis, and
communication between humans. A given artifact or process may have multiple models with …

In this paper we build Lagrangian continuum traffic flow models that are able to utilize
trajectory information transmitted between connected vehicles via vehicle-to-everything …

The main focus of this work is on the inclusion of vehicle dynamics for the control of spatially
distributed processes utilizing mobile actuators and sensors. It is assumed that spatially …

In this paper, a novel freeway traffic speed estimation method based on probe data is
presented. In contrast to other traffic speed estimators, it only requires velocity data from …

We demonstrate a new capability of automated vehicles: mixed autonomy traffic control. With
this new capability, automated vehicles can shape the traffic flows composed of other non …