https://scholars.lib.ntu.edu.tw/handle/123456789/472040
標題: | A stochastic estimation approach to real-time prediction of incident effects on freeway traffic congestion | 作者: | JIUH-BIING SHEU Chou Y.-H. Shen L.-J. |
關鍵字: | Incident effects; Incident responsive; Stochastic estimation | 公開日期: | 2001 | 卷: | 35 | 期: | 6 | 起(迄)頁: | 575-592 | 來源出版物: | Transportation Research Part B: Methodological | 摘要: | Real-time prediction of the effects of freeway incidents on traffic congestion is urgently necessary for the development of advanced freeway incident management 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 groups of proposed lane traffic variables, a stochastic estimation approach which involves a discrete-time nonlinear stochastic model and an algorithm based on 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 preliminary test results indicate that the proposed method is promising. Utilizing the estimates 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. © 2001 Elsevier Science Ltd. All rights reserved. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/472040 | DOI: | 10.1016/S0191-2615(00)00011-4 | SDG/關鍵字: | Algorithms; Computer simulation; Highway administration; Kalman filtering; Random processes; Advanced freeway indicent management systems; Freeway incidents; Stochastic estimation; Highway traffic control; congestion; methodology; stochasticity; traffic management |
顯示於: | 工商管理學系 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。