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Dynamic Traffic Flow Modeling for Incident Detection and Short-term Congestion Prediction
The purpose of this report is to summarize the research activities that were performed during the first year of this research project. In conducting this research, the research team split into several independent groups, each focusing on different aspects of the problem. One group has been focused on using weather and traffic flow conditions as predictors of incident conditions. Their activities are summarized in Chapter II. Other groups have been focused on developing models for producing short-term forecasts of potential congestion, using current measured traffic conditions. The results of these activities are summarized in Chapter III. Finally, the authors are beginning the process of developing a prototype tool that operators can use in a control center to display forecasted conditions. The beginnings of a high-level, functional specification for the tool are provided in Chapter IV.
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Concepts for Managing Freeway Operations During Weather Events
The goal of this research was to help the Texas Department of Transportation (TxDOT) develop a structured, systematic approach for managing traffic during weather events. The focus in this research project was on common weather events - such as fog, high winds, heavy rains, and snow and ice storms - that impact traffic operations day-to-day. First, the authors conducted a survey of selected TxDOT districts to determine what information traffic management center (TMC) operators need to manage traffic operations during weather events. Through a review of the existing literature, the authors assessed systems and technologies that other states have deployed to manage traffic during weather-relat...
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