skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Modeling and Data Requirements: Transportation Systems.

Abstract

Abstract not provided.

Authors:
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1372024
Report Number(s):
SAND2016-6677PE
644990
DOE Contract Number:
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the visit by STRATCOM and DTRA customers.
Country of Publication:
United States
Language:
English

Citation Formats

Gearhart, Jared Lee. Modeling and Data Requirements: Transportation Systems.. United States: N. p., 2016. Web.
Gearhart, Jared Lee. Modeling and Data Requirements: Transportation Systems.. United States.
Gearhart, Jared Lee. 2016. "Modeling and Data Requirements: Transportation Systems.". United States. doi:. https://www.osti.gov/servlets/purl/1372024.
@article{osti_1372024,
title = {Modeling and Data Requirements: Transportation Systems.},
author = {Gearhart, Jared Lee},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2016,
month = 7
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share:
  • Abstract not provided.
  • This paper describes techniques which can be utilized to predict the response of a spent-nuclear-fuel transportation system in a severe transportation accident involving a high velocity impact into a rigid barrier or a collision with another vehicle. The techniques reviewed include both mathematical analyses and physical (scale) modeling. The mathematical (computer) modeling can be accomplished in two steps. The first models the overall system including the vehicle and the cask with a lumped-parameter model, which predicts the rigid body motion of the cask as the vehicle crushes. The second step utilizes a detailed dynamic finite element computer model of themore » cask to calculate deformations which the cask sustains when it encounters a rigid target at a high velocity. The second part of the paper discusses scale models of casks and vehicle systems used to analyze two hypothetical accident situations. The results of the scale model tests and the mathematical analyses are then related to the results of full-scale tests conducted as the last step in the research program. It is shown that the techniques described in the paper can give excellent indications of the response of shipping casks and transport systems involved in severe impact situations. 7 figures.« less
  • A distributed, scaleable architecture for the modeling and simulation of Intelligent Transportation Systems on a network of workstations or a parallel computer has been developed at Argonne National Laboratory. The resulting capability provides a modular framework supporting plug-in models, hardware, and live data sources; visually realistic graphics displays to support training and human factors studies; and a set of basic ITS models. The models and capabilities are described, along with atypical scenario involving dynamic rerouting of smart vehicles which send probe reports to and receive traffic advisories from a traffic management center capable of incident detection.
  • A scalable, distributed modeling and simulation framework has been developed at Argonne National Laboratory to study Intelligent Transportation Systems. The framework can run on a single-processor workstation, or run distributed on a multiprocessor computer or network of workstations. The framework is modular and supports plug-in models, hardware, and live data sources. The initial set of models currently includes road network and traffic flow, probe and smart vehicles, traffic management centers, communications between vehicles and centers, in-vehicle navigation systems, roadway traffic advisories. The modeling and simulation capability has been used to examine proposed ITS concepts. Results are presented from modeling scenariosmore » from the Advanced Driver and Vehicle Advisory Navigation Concept (ADVANCE) experimental program to demonstrate how the framework can be used to evaluate the benefits of ITS and to plan future ITS operational tests and deployment initiatives.« less
  • Emerging needs in transportation network modeling and simulation are raising new challenges with respect to scal-ability of network size and vehicular traffic intensity, speed of simulation for simulation-based optimization, and fidel-ity of vehicular behavior for accurate capture of event phe-nomena. Parallel execution is warranted to sustain the re-quired detail, size and speed. However, few parallel simulators exist for such applications, partly due to the challenges underlying their development. Moreover, many simulators are based on time-stepped models, which can be computationally inefficient for the purposes of modeling evacuation traffic. Here an approach is presented to de-signing a simulator with memory andmore » speed efficiency as the goals from the outset, and, specifically, scalability via parallel execution. The design makes use of discrete event modeling techniques as well as parallel simulation meth-ods. Our simulator, called SCATTER, is being developed, incorporating such design considerations. Preliminary per-formance results are presented on benchmark road net-works, showing scalability to one million vehicles simu-lated on one processor.« less