The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
다양한 목적을 위해 다수의 자동차 교통 시뮬레이터가 개발되었지만, 기존의 시뮬레이터 중 어느 것도 센서 데이터를 사용하여 시뮬레이션 정확도를 높이거나 시스템 구조가 애플리케이션에 따라 시스템 구조를 재구성하는 것을 허용하지 않습니다. 우리의 목표는 매우 정확하고 모듈식이며 유연하고 확장 가능한 마이크로 모델 자동차 교통 시뮬레이션 시스템을 개발하는 것이었습니다. HLA(High Level Architecture)는 각 모듈 간의 표준 인터페이스로 모든 시스템 모듈에 적용되었습니다. 이를 통해 다양한 마이크로 모델 시뮬레이션 방식을 평가하고 검증하는 효율적인 수단을 사용할 수 있습니다. 우리가 진행 중인 프로젝트는 다양한 매개변수 세트를 사용하여 여러 개의 동일한 시뮬레이션을 동시에 실행하는 것으로 구성됩니다. 매개변수 세트와 시뮬레이션 결과를 모두 분석하는 관리자 모듈에 이러한 시뮬레이션 결과를 전송함으로써 관리자 모듈은 최상의 시뮬레이션 결과를 평가하고 이러한 결과를 센서 데이터와 비교하여 다음 조치를 결정할 수 있습니다. 이 시스템에서는 실제 도로를 모니터링하여 얻은 센서 데이터 또는 교통 흐름에 대한 통계 데이터를 사용하여 시뮬레이션 정확도를 향상시킵니다. 미래의 시스템은 거의 실시간 속도로 데이터 입력이 이루어지는 실시간 센서 데이터를 사용할 계획입니다. 본 논문에서는 HLA 기반의 자동차 교통 시뮬레이션 시스템 설계 및 센서-데이터 융합 알고리즘 구축에 대해 논의한다. 또한 이 시스템으로 얻은 결과에 대한 예비 평가에 대해서도 논의합니다. 결과는 제안한 융합 알고리즘이 특정 시간 동안 기록된 센서 데이터에 대한 시뮬레이션 정확도를 5%(최소 1.5%) 이내에서 조정할 수 있음을 보여준다. 또한 500개의 시뮬레이터 모듈을 사용하여 5개의 다양한 매개변수 세트를 사용한 시뮬레이션을 8분 이내에 실행할 수 있다는 사실도 발견했습니다.
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Atsuo OZAKI, Masakazu FURUICHI, Nobuo NISHI, Etsuji KURODA, "The Use of High Level Architecture in Car Traffic Simulations" in IEICE TRANSACTIONS on Information,
vol. E83-D, no. 10, pp. 1851-1859, October 2000, doi: .
Abstract: Although a number of car-traffic simulators have been developed for various purposes, none of the existing simulators enhance the simulation accuracy using sensor data or allow the system structure to re-configure the system structure depending on the application. Our goal was to develop a highly accurate, highly modular, flexible, and scalable micro-model car-traffic simulation system. The HLA (High Level Architecture) was applied to every system module as a standard interface between each module. This allows an efficient means for evaluating and validating a variety of micro-model simulation schemes. Our ongoing projects consist of running several identical simulations concurrently, with different parameter sets. By sending the results of these simulations to a manager module, which analyzes both the parameter sets and the simulated results, the manager module can evaluate the best-simulated results and determine the next action by comparing these results with the sensor data. In this system, the sensor data or the statistical data on the flow of traffic, obtained by monitoring real roads, is used to improve the simulation accuracy. Future systems are being planned to employ real time sensor data, where the input of the data occurs at almost real time speed. In this paper, we discuss the design of a HLA-based car-traffic simulation system and the construction of a sensor-data fusion algorithm. We also discuss our preliminary evaluation of the results obtained with this system. The results show that the proposed fusion algorithm can adjust the simulation accuracy to the logged sensor data within a difference of 5% (minimum 1.5%) in a specific time period. We also found that simulations with 500 different parameter sets can be executed within 5 minutes using 8 simulator modules.
URL: https://global.ieice.org/en_transactions/information/10.1587/e83-d_10_1851/_p
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@ARTICLE{e83-d_10_1851,
author={Atsuo OZAKI, Masakazu FURUICHI, Nobuo NISHI, Etsuji KURODA, },
journal={IEICE TRANSACTIONS on Information},
title={The Use of High Level Architecture in Car Traffic Simulations},
year={2000},
volume={E83-D},
number={10},
pages={1851-1859},
abstract={Although a number of car-traffic simulators have been developed for various purposes, none of the existing simulators enhance the simulation accuracy using sensor data or allow the system structure to re-configure the system structure depending on the application. Our goal was to develop a highly accurate, highly modular, flexible, and scalable micro-model car-traffic simulation system. The HLA (High Level Architecture) was applied to every system module as a standard interface between each module. This allows an efficient means for evaluating and validating a variety of micro-model simulation schemes. Our ongoing projects consist of running several identical simulations concurrently, with different parameter sets. By sending the results of these simulations to a manager module, which analyzes both the parameter sets and the simulated results, the manager module can evaluate the best-simulated results and determine the next action by comparing these results with the sensor data. In this system, the sensor data or the statistical data on the flow of traffic, obtained by monitoring real roads, is used to improve the simulation accuracy. Future systems are being planned to employ real time sensor data, where the input of the data occurs at almost real time speed. In this paper, we discuss the design of a HLA-based car-traffic simulation system and the construction of a sensor-data fusion algorithm. We also discuss our preliminary evaluation of the results obtained with this system. The results show that the proposed fusion algorithm can adjust the simulation accuracy to the logged sensor data within a difference of 5% (minimum 1.5%) in a specific time period. We also found that simulations with 500 different parameter sets can be executed within 5 minutes using 8 simulator modules.},
keywords={},
doi={},
ISSN={},
month={October},}
부
TY - JOUR
TI - The Use of High Level Architecture in Car Traffic Simulations
T2 - IEICE TRANSACTIONS on Information
SP - 1851
EP - 1859
AU - Atsuo OZAKI
AU - Masakazu FURUICHI
AU - Nobuo NISHI
AU - Etsuji KURODA
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E83-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 2000
AB - Although a number of car-traffic simulators have been developed for various purposes, none of the existing simulators enhance the simulation accuracy using sensor data or allow the system structure to re-configure the system structure depending on the application. Our goal was to develop a highly accurate, highly modular, flexible, and scalable micro-model car-traffic simulation system. The HLA (High Level Architecture) was applied to every system module as a standard interface between each module. This allows an efficient means for evaluating and validating a variety of micro-model simulation schemes. Our ongoing projects consist of running several identical simulations concurrently, with different parameter sets. By sending the results of these simulations to a manager module, which analyzes both the parameter sets and the simulated results, the manager module can evaluate the best-simulated results and determine the next action by comparing these results with the sensor data. In this system, the sensor data or the statistical data on the flow of traffic, obtained by monitoring real roads, is used to improve the simulation accuracy. Future systems are being planned to employ real time sensor data, where the input of the data occurs at almost real time speed. In this paper, we discuss the design of a HLA-based car-traffic simulation system and the construction of a sensor-data fusion algorithm. We also discuss our preliminary evaluation of the results obtained with this system. The results show that the proposed fusion algorithm can adjust the simulation accuracy to the logged sensor data within a difference of 5% (minimum 1.5%) in a specific time period. We also found that simulations with 500 different parameter sets can be executed within 5 minutes using 8 simulator modules.
ER -