This paper presents an algorithm for estimating travel time using volume and occupancy data from a series of single inductance loops. The algorithm is based on the statistics of the measurements obtained from a traffic management system. The algorithm produces an estimate of speed and travel time as well as providing a reliability test for the speed estimate.

In this paper we use a model-based traffic control approach to determine dynamic speed limits with the aim of reducing fuel consumption and emissions, while still guaranteeing small travel times. The approach we propose is based on model predictive control (MPC). MPC is a modelbased control design method that combines prediction and on-line optimization of a performance criterion over a given t...

optimization is an important methodology for activities in planning and design. the transportation designers are able to introduce better projects when they can save time and cost of travel for project by optimization methods. most of the optimization problems in engineering are more complicated than they can be solved by custom optimization methods. the most common and available methods are he...

Many historical people were only ever captured by old, faded, black and white photos, that are distorted due to the limitations of early cameras passage time. This paper simulates traveling back in time with a modern camera rephotograph famous subjects. Unlike conventional image restoration filters which apply independent operations like denoising, colorization, superresolution, we leverage Sty...