Showing papers by "Richard M. Fujimoto published in 2014"

A Dynamic Data Driven Application System for Vehicle Tracking

Abstract: Tracking the movement of vehicles in urban environments using fixed position sensors, mobile sensors, and crowd-sourced data is a challenging but important problem in applications such as law enforcement and defense. A dynamic data driven application system (DDDAS) is described to track a vehicle's movements by repeatedly identifying the vehicle under investigation from live image and video data, predicting probable future locations, and repositioning sensors or retargeting requests for information in order to reacquire the vehicle. An overview of the envisioned system is described that includes image processing algorithms to detect and recapture the vehicle from live image data, a computational framework to predict probable vehicle locations at future points in time, and a power aware data distribution management system to disseminate data and requests for information over ad hoc wireless communication networks. A testbed under development in the midtown area of Atlanta, Georgia in the United States is briefly described.

Panel: the future of research in modeling & simulation

Abstract: Due to the increasing availability of data and wider use of analytics, the ingredients for increased reliance on modeling and simulation are now present. Tremendous progress has been made in the field of modeling and simulation over the last six decades. Software and methodologies have advanced greatly. In the area of weather, future-casts based on model predictions have become highly accurate and heavily relied upon. This is happening in other domains, as well. In a similar vein, drivers may come to rely upon future-casts of traffic that are based on predictions from models fed by sensor data. The need for and the capabilities of simulation have never been greater. This panel will examine the future of research in modeling and simulation by (1) examining prior progress, (2) pointing out current weaknesses and limitations, (3) highlighting directions for future research, and (4) discussing support for research including funding opportunities.

Power consumption of data distribution management for on-line simulations

Abstract: With the growing use of mobile devices, power aware algorithms have become essential. Data distribution management (DDM) is an approach to disseminate information that was proposed in the High Level Architecture (HLA) for modeling and simulation. This paper explores the power consumption of mobile devices used by pedestrians in an urban environment communicating through HLA DDM services operating over a mobile ad-hoc network (MANET). The computation and communication power requirements of Grid-Based and Region-Based implementation approaches to DDM are contrasted and quantitatively evaluated through experimentation and simulation.

Past and future trees: structures for predicting vehicle trajectories in real-time

Abstract: We propose a data structure that stores previously observed vehicle paths in a given area in order to predict the forward trajectory of an observed vehicle at any stage. Incomplete vehicle trajectories are conditioned against in a Past Tree, to predict future trajectories in another tree structure - a Future Tree. Many use cases in transportation simulation benefit from higher validity by considering historical paths in determining how to route vehicle entities. Instead of assigning static and independent turn probabilities at intersections, the storage and retrieval of historical path information can give a more accurate picture of future traffic trends and enhance the capabilities of real-time simulations to, say, inform mobile phone users of expected traffic jams along certain segments, direct the search efforts of law enforcement personnel, or allow more effective synchronization of traffic signals.