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Title: Argonne simulation framework for intelligent transportation systems

Abstract

A simulation framework has been developed which defines a high-level architecture for a large-scale, comprehensive, scalable simulation of an Intelligent Transportation System (ITS). The simulator is designed to run on parallel computers and distributed (networked) computer systems; however, a version for a stand alone workstation is also available. The ITS simulator includes an Expert Driver Model (EDM) of instrumented ``smart`` vehicles with in-vehicle navigation units. The EDM is capable of performing optimal route planning and communicating with Traffic Management Centers (TMC). A dynamic road map data base is sued for optimum route planning, where the data is updated periodically to reflect any changes in road or weather conditions. 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 that includes human-factors studies to support safety and operational research. Realistic modeling of variations of the posted driving speed are based on human factor studies that take into consideration weather, road conditions, driver`s personality and behavior and vehicle type. The simulator has been developed on a distributed system of networked UNIX computers,more » but is designed to run on ANL`s IBM SP-X parallel computer system for large scale problems. A novel feature of the developed simulator is that vehicles will be represented by autonomous computer processes, each with a behavior model which performs independent route selection and reacts to external traffic events much like real vehicles. Vehicle processes interact with each other and with ITS components by exchanging messages. With this approach, one will be able to take advantage of emerging massively parallel processor (MPP) systems.« less

Authors:
; ; ; ; ;
Publication Date:
Research Org.:
Argonne National Lab., IL (United States)
Sponsoring Org.:
USDOE, Washington, DC (United States)
OSTI Identifier:
219342
Report Number(s):
ANL/TD/CP-89234; CONF-960444-2
ON: DE96008438; TRN: AHC29609%%73
DOE Contract Number:  
W-31109-ENG-38
Resource Type:
Conference
Resource Relation:
Conference: ITS America: 6. annual meeting on intelligent transportation systems, Houston, TX (United States), 15-18 Apr 1996; Other Information: PBD: [1996]
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; 99 MATHEMATICS, COMPUTERS, INFORMATION SCIENCE, MANAGEMENT, LAW, MISCELLANEOUS; VEHICLES; ROUTING; TRANSPORTATION SYSTEMS; SIMULATORS; OPERATIONS RESEARCH; ROAD TRANSPORT; AUTOMATION; COMPUTERIZED SIMULATION; NAVIGATIONAL INSTRUMENTS; ARTIFICIAL INTELLIGENCE; MAN-MACHINE SYSTEMS; PARALLEL PROCESSING; DISTRIBUTED DATA PROCESSING

Citation Formats

Ewing, T., Doss, E., Hanebutte, U., Canfield, T., Brown-VanHoozer, A., and Tentner, A.. Argonne simulation framework for intelligent transportation systems. United States: N. p., 1996. Web.
Ewing, T., Doss, E., Hanebutte, U., Canfield, T., Brown-VanHoozer, A., & Tentner, A.. Argonne simulation framework for intelligent transportation systems. United States.
Ewing, T., Doss, E., Hanebutte, U., Canfield, T., Brown-VanHoozer, A., and Tentner, A.. Mon . "Argonne simulation framework for intelligent transportation systems". United States. https://www.osti.gov/servlets/purl/219342.
@article{osti_219342,
title = {Argonne simulation framework for intelligent transportation systems},
author = {Ewing, T. and Doss, E. and Hanebutte, U. and Canfield, T. and Brown-VanHoozer, A. and Tentner, A.},
abstractNote = {A simulation framework has been developed which defines a high-level architecture for a large-scale, comprehensive, scalable simulation of an Intelligent Transportation System (ITS). The simulator is designed to run on parallel computers and distributed (networked) computer systems; however, a version for a stand alone workstation is also available. The ITS simulator includes an Expert Driver Model (EDM) of instrumented ``smart`` vehicles with in-vehicle navigation units. The EDM is capable of performing optimal route planning and communicating with Traffic Management Centers (TMC). A dynamic road map data base is sued for optimum route planning, where the data is updated periodically to reflect any changes in road or weather conditions. 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 that includes human-factors studies to support safety and operational research. Realistic modeling of variations of the posted driving speed are based on human factor studies that take into consideration weather, road conditions, driver`s personality and behavior and vehicle type. The simulator 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 the developed simulator is that vehicles will be represented by autonomous computer processes, each with a behavior model which performs independent route selection and reacts to external traffic events much like real vehicles. Vehicle processes interact with each other and with ITS components by exchanging messages. 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 = {Mon Apr 01 00:00:00 EST 1996},
month = {Mon Apr 01 00:00:00 EST 1996}
}

Conference:
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