Development of prediction models for freeway incident durations using data mining techniques

The nation's freeway systems are becoming increasingly congested. A major contribution to traffic congestion on freeways is due to traffic incidents. Traffic incidents are non-recurring events such as accidents or stranded vehicles that cause a temporary roadway capacity reduction, and they can account for as much as 60 percent of all traffic congestion on freeways. One major freeway incident management strategy involves diverting traffic to avoid incident locations by relaying timely information through Intelligent Transportation Systems (ITS) devices such as dynamic message signs or real-time traveler information systems. The decision to divert traffic depends foremost on the expected duration of an incident, which is difficult to predict. In addition, the duration of an incident is affected by many contributing factors. Determining and understanding these factors can help the process of identifying and developing better strategies to reduce incident durations and alleviate traffic congestion. A number of research studies have attempted to develop models to predict incident durations, yet with limited success. ^ This dissertation research attempts to improve on this previous effort by applying data mining techniques to a comprehensive incident database maintained by the District 4 ITS Office of the Florida Department of Transportation (FDOT). Two categories of incident duration prediction models were developed: "offline" models designed for use in the performance evaluation of incident management programs, and "online" models for real-time prediction of incident duration to aid in the decision making of traffic diversion in the event of an ongoing incident. Multiple data mining analysis techniques were applied and evaluated in the research. The multiple linear regression analysis and decision tree based method were applied to develop the offline models, and the rule-based method and a tree algorithm called M5P were used to develop the online models. ^ The results show that the models in general can achieve high prediction accuracy within acceptable time intervals of the actual durations. The research also identifies some new contributing factors that have not been examined in past studies. As part of the research effort, software code was developed to implement the models in the existing software system of District 4 FDOT for actual applications. ^

Politics at the water's edge: The presidency, Congress, and the North Korea policy of the United States

For all their efforts to avoid a nuclear North Korea, the Clinton and Bush administrations failed to achieve this goal, the most important policy objective of the United States in its relations with North Korea for decades, mainly because of inconsistencies in U.S. policy. This dissertation seeks to explain why both administrations ultimately failed to prevent North Korea from going nuclear. It finds the origins of this failure in the implementation of different U.S. policy options toward North Korea during the Clinton and Bush administrations. To explain the lack of policy consistency, the dissertation investigates how the relations between the executive and the legislative branches and, more specifically, different government types—unified government and divided government—have affected U.S. policy toward North Korea. It particularly emphasizes the role of Congress and partisan politics in the making of U.S. policy toward North Korea. This study finds that divided government played a pivotal role. Partisan politics are also central to the explanation: politics did not stop at the water’s edge. A divided U.S. government produced more status quo policies toward North Korea than a unified U.S. government, while a unified government produced more active policies than a divided government. Moreover, a unified government with a Republican President produced more aggressive policies toward North Korea, whereas a unified government with a Democratic President produced more conciliatory policies. This study concludes that the different government types and intensified partisan politics were the main causes of the inconsistencies in the United States’ North Korea policy that led to a nuclear North Korea.