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Title: Large-scale Intelligent Transporation Systems simulation

Abstract

A prototype computer system has been developed which defines a high-level architecture for a large-scale, comprehensive, scalable simulation of an Intelligent Transportation System (ITS) capable of running on massively parallel computers and distributed (networked) computer systems. The prototype includes the modelling of instrumented ``smart`` vehicles with in-vehicle navigation units capable of optimal route planning and Traffic Management Centers (TMC). The TMC has probe vehicle tracking capabilities (display position and attributes of instrumented vehicles), and can provide 2-way interaction with traffic to provide advisories and link times. Both the in-vehicle navigation module and the TMC feature detailed graphical user interfaces to support human-factors studies. The prototype has been developed on a distributed system of networked UNIX computers but is designed to run on ANL`s IBM SP-X parallel computer system for large scale problems. A novel feature of our design is that vehicles will be represented by autonomus computer processes, each with a behavior model which performs independent route selection and reacts to external traffic events much like real vehicles. With this approach, one will be able to take advantage of emerging massively parallel processor (MPP) systems.

Authors:
; ; ; ;
Publication Date:
Research Org.:
Argonne National Lab., IL (United States)
Sponsoring Org.:
USDOE, Washington, DC (United States)
OSTI Identifier:
81113
Report Number(s):
ANL/RA/CP-85716; CONF-950439-13
ON: DE95012268
DOE Contract Number:  
W-31-109-ENG-38
Resource Type:
Conference
Resource Relation:
Conference: SMS simulation multiconference: simulation as a critical technology, Phoenix, AZ (United States), 9-13 Apr 1995; Other Information: PBD: [1995]
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; 99 MATHEMATICS, COMPUTERS, INFORMATION SCIENCE, MANAGEMENT, LAW, MISCELLANEOUS; VEHICLES; COMPUTERIZED SIMULATION; PARALLEL PROCESSING; NAVIGATION; EXPERT SYSTEMS; AUTOMOBILES; HUMAN FACTORS ENGINEERING; SIMULATORS; TRAFFIC CONTROL

Citation Formats

Ewing, T, Canfield, T, Hannebutte, U, Levine, D, and Tentner, A. Large-scale Intelligent Transporation Systems simulation. United States: N. p., 1995. Web.
Ewing, T, Canfield, T, Hannebutte, U, Levine, D, & Tentner, A. Large-scale Intelligent Transporation Systems simulation. United States.
Ewing, T, Canfield, T, Hannebutte, U, Levine, D, and Tentner, A. Thu . "Large-scale Intelligent Transporation Systems simulation". United States. https://www.osti.gov/servlets/purl/81113.
@article{osti_81113,
title = {Large-scale Intelligent Transporation Systems simulation},
author = {Ewing, T and Canfield, T and Hannebutte, U and Levine, D and Tentner, A},
abstractNote = {A prototype computer system has been developed which defines a high-level architecture for a large-scale, comprehensive, scalable simulation of an Intelligent Transportation System (ITS) capable of running on massively parallel computers and distributed (networked) computer systems. The prototype includes the modelling of instrumented ``smart`` vehicles with in-vehicle navigation units capable of optimal route planning and Traffic Management Centers (TMC). The TMC has probe vehicle tracking capabilities (display position and attributes of instrumented vehicles), and can provide 2-way interaction with traffic to provide advisories and link times. Both the in-vehicle navigation module and the TMC feature detailed graphical user interfaces to support human-factors studies. The prototype has been developed on a distributed system of networked UNIX computers but is designed to run on ANL`s IBM SP-X parallel computer system for large scale problems. A novel feature of our design is that vehicles will be represented by autonomus computer processes, each with a behavior model which performs independent route selection and reacts to external traffic events much like real vehicles. With this approach, one will be able to take advantage of emerging massively parallel processor (MPP) systems.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1995},
month = {6}
}

Conference:
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