Real-Time Urban Inundation Prediction Combining Hydraulic and Probabilistic Methods

Dynamic real-time prediction of flood inundation probabilities

The Bayesian Generalised Likelihood Uncertainty Estimation (GLUE) methodology, previously used in rainfall-runoff modelling, is applied to the distributed problem of predicting the space and time varying probabilities of inundation of all points on a flood plain. Probability estimates are based on conditioning predictions of Monte Carlo realizations of a distributed quasi-twodimensional flood r...

Real-time Travel Time Prediction on Urban Arterial Network

Travel time is one of the most desired operational variables serving as a key measure of effectiveness for evaluating the system performance of freeways and urban arterials. With accurate travel time information, decision makers, road users, and traffic engineers can make informed decisions. However, retrieving network-level travel time information has several challenges, such as traffic data c...

Efficient probabilistic methods for real-time fatigue damage prognosis

A general probabilistic fatigue crack growth prediction methodology for accurate and efficient damage prognosis is proposed in this paper. This methodology consists two major parts. First, the realistic random loading is transformed to an equivalent constant amplitude loading process based on a recently developed mechanism model. This transformation avoids the cycle-by-cycle calculation of fati...

Real-time Prediction and Synchronization of Business Process Instances using Data and Control Perspective

Nowadays, in a competitive and dynamic environment of businesses, organizations need to moni-tor, analyze and improve business processes with the use of Business Process Management Systems(BPMSs). Management, prediction and time control of events in BPMS is one of the major chal-lenges of this area of research that has attracted lots of researchers. In this paper, we present a...

Wikicity: Real-time Urban Environments