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Titolo:
A stochastic estimation approach to real-time prediction of incident effects on freeway traffic congestion
Autore:
Sheu, JB; Chou, YH; Shen, LJ;
Indirizzi:
Natl Kaohsiung First Univ Sci & Technol, Dept Transportat Warehousing & Logist, Kaohsiung 824, Taiwan Natl Kaohsiung First Univ Sci & Technol Kaohsiung Taiwan 824 824, Taiwan Natl Taiwan Univ, Dept Civil Engn, Taipei 10764, Taiwan Natl Taiwan Univ Taipei Taiwan 10764 pt Civil Engn, Taipei 10764, Taiwan
Titolo Testata:
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
fascicolo: 6, volume: 35, anno: 2001,
pagine: 575 - 592
SICI:
0191-2615(200107)35:6<575:ASEATR>2.0.ZU;2-1
Fonte:
ISI
Lingua:
ENG
Keywords:
incident effects; stochastic estimation; incident responsive;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Social & Behavioral Sciences
Engineering, Computing & Technology
Citazioni:
17
Recensione:
Indirizzi per estratti:
Indirizzo: Sheu, JB Natl Kaohsiung First Univ Sci & Technol, Dept Transportat Warehousing & Logist, 1 Unvi Rd,Yuanchau, Kaohsiung 824, Taiwan Natl Kaohsiung First Univ Sci & Technol 1 Unvi Rd,Yuanchau Kaohsiung Taiwan 824
Citazione:
J.B. Sheu et al., "A stochastic estimation approach to real-time prediction of incident effects on freeway traffic congestion", TRANSP R B, 35(6), 2001, pp. 575-592

Abstract

Real-time prediction of the effects of freeway incidents on traffic congestion is urgently necessary for the development of advanced freeway incidentmanagement systems. This paper presents a stochastic estimation approach to real-time prediction of time-varying delays and queue lengths which are regarded as two significant variables in examining freeway incident congestion in this study. In addition to system specification utilizing four groupsof proposed lane traffic variables, a stochastic estimation approach whichinvolves a discrete-time nonlinear stochastic model and an algorithm basedon Kalman filtering is developed to estimate real-time delays and queues in the presence of freeway incidents, The proposed method is tested employing simulated data generated via the CORSIM simulation model. The preliminarytest results indicate that the proposed method is promising. Utilizing theestimates of delays and queue lengths generated by the proposed method in real time, our further research will aim at developing time-varying incident effect indexes for real-time prediction of the impact magnitude of freeway incidents either in the temporal domain or in the spatial domain. We therefore expect that this study can make available real-time incident-related traffic information with benefits not only for understanding the impact of freeway incidents on traffic congestion, but also for developing advanced incident-responsive traffic management technologies. (C) 2001 Elsevier Science Ltd. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 20/01/20 alle ore 07:47:11