Abstract: The potential application of image‐processing methods to automate the manual data collection and visual rating of pavement surface conditions has not been widely recognized until relatively recently. A cost‐effective ...

Abstract: Traffic incidents are believed to cause about 60% of the congestion delay in the United States. Accordingly, a number of U.S. cities maintain Traffic Operations Centers (TOCs) for incident detection and response. However, ...

Abstract: Travel time is the reciprocal of speed and is a useful measure of road congestion and traffic system performance. Travel time is also a basic traffic variable that is used in many intelligent transportation system strategies ...

Abstract: Highway resurfacing, restoration, rehabilitation, and reconstruction can extend the life of an existing facility. At the same time, enhanced safety can be engineered into a project by making improvements to other features ...

Abstract: This paper presents a comparative evaluation of traditional and neural‐network classifiers to detect cracks in video images of asphalt‐concrete pavement surfaces. The traditional classifiers used are the Bayes classifier and the

Abstract: Unlike conventional traffic safety studies that focused on histrionic data analyses, this study attempts to identify traffic conditions that might lead to a traffic accident from real-time freeway traffic data. An innovative ...

Abstract: Pavement surface condition data play a pivotal role in the analysis and design of pavement rehabilitation strategies. In project design, this information is usually used by a limited number of pavement engineering specialists ...