Road traffic congestion is one of the biggest frustrations for the daily commuter. By improving the currently available travel estimates, one can hope to save time, fuel and the environment by avoiding traffic jams. Before one can predict the best route for a user to take, one must first be able to accurately predict future travel times. In this thesis, we develop a classification-based techniq...

In this paper a unified approach of lower bound functional area and cycle budget estimations is presented to predict area–delay characteristics of designs at system level. The estimations are mainly based on relaxing precedence constraints in a behavioral design description and are the most accurate estimations reported to date.

In daily operation, railway traffic always deviates from the planned schedule to a certain extent. Primary initial delays of trains may cause a whole cascade of secondary delays of other trains over the entire network. In this paper, we propose a stochastic model for delay propagation and forecasts of arrival and departure events which is applicable to all kind of public transport (not only to ...

With the increasing of civil aviation business, flight delay has become a key problem in field recent years, which brought considerable economic impact to airlines and related industries. The prediction specific flights is very important for airlines’ plan, airport resource allocation, insurance company strategy personal arrangement. influence factors have high complexity non-linear relationshi...

In modern business, Artificial Intelligence (AI) and Machine Learning (ML) have affected strategy decision-making positively in the form of predictive modeling. This study aims to use ML AI predict arrival flight delays United States airport network. Flight carry severe social, environmental, economic impacts. Deploying models during process operational can help reduce impact these delays. A li...

In general, information about the environment (for instance a target) is not instantaneously available for the nervous system. A minimal delay for visual information to affect the movement of the hand is about 110 ms. However, if the movement of a target is predictable, humans can pursue it with zero delay. To make this prediction, information about the speed of the target is necessary. Our res...

This paper addresses the design of a robust prediction-based controller for linear systems with both input and state delays. We extend the usual prediction-based scheme to state delay and prove its robustness to sufficiently small delay mismatches. Our approach is grounded on the linking of two recently proposed infinite-dimensional techniques: a Complete-Type Lyapunov functional, which enables...