Long-term ground movement prediction by Monte Carlo simulation | Zendy

Mark J. Carlotto | Zendy

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Long-term ground movement prediction by Monte Carlo simulation

Author(s) -

Mark J. Carlotto

Publication year - 2008

Publication title -

proceedings of spie, the international society for optical engineering/proceedings of spie

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.192

H-Index - 176

eISSN - 1996-756X

pISSN - 0277-786X

DOI - 10.1117/12.779545

Subject(s) - computer science , terrain , term (time) , monte carlo method , context (archaeology) , routing (electronic design automation) , movement (music) , simulation , real time computing , statistics , computer network , physics , philosophy , mathematics , quantum mechanics , aesthetics , ecology , paleontology , biology

A method is described for predicting the long-term movement of people on the ground, either on foot or driving vehicles, as a function of the terrain, weather, behavior, and situation (context). It uses the results of statistical simulations to estimate location probability distributions of where a vehicle or person may go in a given amount of time. Several applications are discussed including detecting possible gaps in sensor coverage, route planning, and mobile communications routing.

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