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原文传递 Extraction of Basic Roadway Information for Non-State Roads in Florida. Summary.

题名：	Extraction of Basic Roadway Information for Non-State Roads in Florida. Summary.
作者：	Gan, A.
关键词：	Non-state roads, Roads, Road transportation, Data extraction, Police reports, Road crashes, Local roads, Roadway Characteristics Inventory, Florida (state)
摘要：	The Florida Department of Transportation (FDOT) has continued to maintain a linear-referenced “All-Roads” map that includes both state and non-state local roads. The state portion of the map could be populated with select data from FDOT’s Roadway Characteristics Inventory (RCI). However, the RCI data are available for only a small portion of the local roads in the All-Roads map, leaving a majority of the local roads in the map without the same data. Given the large number of local roads in the map, it is clearly not cost feasible to collect the data in the field. Methods that make use of existing data as alternatives to field data collection are thus needed. One potential source of existing data is police crash reports. For every reported crash in Florida, the law enforcement officers record information on more than 300 variables to describe the site and time of the crash, the geometric conditions, the traffic control, and drivers’ and pedestrian’s characteristics. Accordingly, this project aims to develop methods to extract roadway data recorded in crash reports as a means to both acquiring and continually updating the All-Roads map for local roads in Florida. To the extent possible, the project attempted to extract data for the following four variables that are included in Florida’s crash reports: number of through lanes, posted speed limit, shoulder type, and median type. The data extraction process to acquire data for the four variables in this project includes three steps. The first step involves the extraction of data from crash records for as many road segments as possible. The second step covers the case in which a road segment does not have any crashes. In this step, the values are derived from their adjacent segments based on the assumption that roadway features are likely to be continuous. Finally, the third step focuses on the remaining segments for which data could not be extracted or derived in the first two steps. In this step, the missing data are manually collected using a web-based data collection application that is designed specially to facilitate the process of observing and recording information from satellite images in Google Maps.
总页数：	Gan, A.
报告类型：	科技报告