A NEW TECHNOLOGY FOR REAL-TIME PREDICTION OF INCIDENT EFFECTSON FREEWAY TRAFFIC CONGESTION

机译：一种实时预测高速公路交通拥堵影响的新技术

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Real-time prediction of the effects of freeway incidents on traffic congestion is vital to therndevelopment of advanced freeway incident management systems. This paper presents a newrntechnology which is capable of characterizing incident effects on freeway traffic congestion inrnreal time using the estimates of time-varying delays and queue lengths. The proposed technologyrnis constructed primarily on the basis of a stochastic system modeling approach which involvesrnthe modeling of a discrete-time nonlinear stochastic system and the development of a recursivernestimation algorithm. The preliminary test results employing simulated data generated fromrnCORSIM indicate that the proposed method is promising. We expect that this study can makernavailable real-time incident-related traffic characteristics with benefits not only for understandingrnthe impact of freeway incidents on traffic congestion, but also for developing advanced incidentresponsiverntraffic control and management strategies.

机译：高速公路事故对交通拥堵的影响的实时预测对于先进的高速公路事故管理系统的发展至关重要。本文提出了一种新技术，该技术能够使用时变延迟和队列长度的估计来实时表征对高速公路交通拥堵的事件影响。所提出的技术主要是基于一种随机系统建模方法构建的，该方法涉及离散时间非线性随机系统的建模和递归估计算法的开发。使用从rnCORSIM生成的模拟数据进行的初步测试结果表明，该方法很有希望。我们希望这项研究可以提供与事件有关的实时交通特征，不仅有益于了解高速公路事故对交通拥堵的影响，而且还有助于开发先进的事件响应交通控制和管理策略。

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来源
《6th international conference on applications of advanced technologies in transportation engineering (AATT2000)》|2000年|p.1-9|共9页
会议地点 Singapore(SG);Singapore(SG)
作者
Jiuh-Biing Sheu; Yi-Hwa Chou; Liang-Jen Shen;
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作者单位

Department of Transportation, Warehousing and LogisticsrnNational Kaohsiung First University of Science and TechnologyrnKaohsiung 824, TaiwanrnR.O.C.;

Department of Civil Engineering National Taiwan University Taipei, Taiwan R.O.C.;

Department of Civil Engineering National Taiwan University Taipei, Taiwan R.O.C.;

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专利

1. A stochastic estimation approach to real-time prediction of incident effects on freeway traffic congestion [J] . Jiuh-Biing Sheu, Yi-Hwa Chou, Liang-Jen Shen Transportation Research Part B: Methodological . 2001,第6期

机译：实时估计事故对高速公路交通拥堵影响的随机估计方法
2. Stochastic modeling and real-time prediction of incident effects on surface street traffic congestion [J] . Jiuh-Biing Sheu, Yi-Hwa Chou, Allen Chen Applied Mathematical Modelling . 2004,第5期

机译：随机建模和突发事件对路面交通拥堵的实时预测
3. Real-Time Freeway Traffic State Estimation and Incident Detection based on Extended Kalman Filter: An Overview [J] . Wang Yibing, Messmer Albert, Papageorgiou Markos Automatisierungstechnik: Methoden und Anwendungen der Steuerungs-, Regelungs- und Informationstechnik . 2015,第4期

机译：基于扩展卡尔曼滤波器的高速公路实时交通状态估计和事件检测：概述
4. A Proposed methodology for real-time corridor traffic control during freeway incidents [C] . John N. Ivan, Shyuan-Ren Chen Annual meeting of ITS American . 1996

机译：高速公路事故期间实时走廊交通控制的拟议方法
5. Freeway Incident Likelihood Prediction models: Development and application to traffic management systems. [D] . Liu, Pen-Chi. 1997

机译：高速公路事故可能性预测模型：交通管理系统的开发和应用。
6. Crash Risk Prediction Modeling Based on the Traffic Conflict Technique and a Microscopic Simulation for Freeway Interchange Merging Areas [O] . Shen Li, Qiaojun Xiang, Yongfeng Ma, 2016

机译：基于交通冲突技术和高速公路立交汇合区微观仿真的碰撞风险预测建模
7. Incorporating Neural Network Traffic Prediction into Freeway Incident Detection [O] . Hualiang Teng, David R. Martinelli, Benjamin T. Taggart 1999

机译：将神经网络流量预测纳入高速公路事件检测
8. Integrated Knowledge-Based System for Real-Time Estimation of Incident Durations and Nonrecurrent Congestion Delay for Freeway Networks. [R] . G. Chang W. Kim Y. Chang 2009

机译：基于知识的综合系统实时估计高速公路网事件持续时间和非经常拥塞时延。

A NEW TECHNOLOGY FOR REAL-TIME PREDICTION OF INCIDENT EFFECTSON FREEWAY TRAFFIC CONGESTION

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