Corresponding person: Xin Zhang
Status: Finished
Author: Yue Liu
Type: Ph.D. Defense
Status: Completed
Year: 2009
Abstract: This research has focused on developing an advanced dynamic corridor traffic control system that can assist responsible traffic professionals in generating effective control strategies for contending with non-recurrent congestion that often concurrently plagues both the freeway and arterial systems. The developed system features its hierarchical operating structure that consists of an integrated-level control and a local-level module for bottleneck management. The primary function of the integrated-level control is to maximize the capacity utilization of the entire corridor under incident conditions with concurrently implemented strategies over dynamically computed windows, including diversion control at critical off-ramps, on-ramp metering, and optimal arterial signal timings. The system development process starts with design of a set of innovative network formulations that can accurately and efficiently capture the operational characteristics of traffic flows in the entire corridor optimization process.
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Author: Woon Kim
Type: Master’s thesis
Status: Completed
Year: 2007
Abstract: This study presents a set of models for predicting incident duration and identifying variables associated with the incident duration in the state of Maryland. The incident database for years 2003 to 2005 from the Maryland State Highway (MDSHA) database is used for model development, and year 2006 for the model validation. This study, based on the preliminary analysis with the Classification Tree method, has employed the Rule-Based Tree Model to develop the primary prediction model. To enhance the prediction accuracy for some incidents with complex nature or limited samples, the study has also proposed and calibrated several supplemental components based on the Multinomial Logit and Regression methods. Although the prediction accuracy could still be improved if a data set with better quality is available, the developed set of models offers an effective tool for responsible agencies to estimate the approximate duration of a detected incident, which is crucial in projecting the potential impacts on the highway network.
Description: Evaluate the performace of CHART based on 1999 incident reports
Date: 2/1/2001
Corresponding person: Iijoon Chang
Sponsor Organization: SHA
Status: Finished
Description: Evaluate the performace of CHART based on 2000 incident reports
Date: 10/1/2001
Corresponding person: Pei-wei Lin
Sponsor Organization: SHA
Status: Finished
Description: For surface streets, Understanding the interrelatons between congestion levels and accidents. Developing economatric models to capture such relations under various roadway characteristics
Date: 2/27/2003
Corresponding person: Hua Xiang
Sponsor Organization: SHA
Status: Finished
Description: For freeway, Understanding the interrelatons between congestion levels and accidents. Developing economatric models to capture such relations under various roadway characteristics
Date: 2/27/2003
Corresponding person: Hua Xiang
Sponsor Organization: SHA
Status: Finished
Date: 1/4/2007
Corresponding person: Woon Kim
Status: Finished
Date: 1/6/2010
Corresponding person: Mark Franz
Status: Finished
Date: 5/10/2007
Corresponding person: Nan Zou
Status: Finished