The object of the study is to restore to its original form the V saladevar sa, a poetical work composed in R jasth n probably in the middle of the fifteenth century of our era. Dr Smith has provided a full critical analysis of his method, and he also studies in detail the linguistic elements of the text. A full English translation of the reconstituted text is placed opposite the text, and there is a full glossary and index. This study will be of interest to scholars specializing in New Indo-Aryan languages and literatures and in Indo-Aryan philology and textual criticism."

This report identifies crash imminent test scenarios based on common pre-crash scenarios for integrated vehicle-based safety systems that alert the driver of a light vehicle or a heavy truck to an impending rear-end, lane change, or run-off-road crash. Pre-crash scenarios describe vehicle movements and critical events immediately prior to the crash. The General Estimates System (GES) crash database was queried to distinguish common pre-crash scenarios for light vehicles (2003 GES) and heavy trucks (2000-2003 GES) in terms of their frequency of occurrence. Analysis of two-vehicle rear-end...

This report defines a new pre-crash scenario typology for crash avoidance research based on the 2004 General Estimates System (GES) crash database, which consists of pre-crash scenarios depicting vehicle movements and dynamics as well as the critical event immediately prior to a crash. This typology establishes a common vehicle safety research foundation for public and private organizations, which will allow researchers to determine which traffic safety issues should be of first priority to investigate and to develop concomitant crash avoidance systems. Its main objectives are to identify all...

This report analyzes the problem of light vehicle crashes in the U.S. to support the development and assessment of effective crash avoidance systems as part of the U.S.-DOT's Intelligent Vehicle Initiative. The analysis was conducted using data from the 2000 National Automotive Sampling/GES crash database of the National Highway Traffic Safety Administration.