A FRAMEWORK FOR REAL-TIME CRASH PREDICTION: STATISTICAL APPROACH VERSUS ARTIFICIAL INTELLIGENCE
نویسندگان
چکیده
منابع مشابه
A Framework for Real-time Crash Prediction: Statistical Approach Versus
The attempts to predict crashes on freeways through statistical modeling involving capacity driven measures of traffic flow (e.g., AADT) and road geometry have spanned for more than two decades. However, success in crash prediction involving these static data has so far been limited. In recent times, some researchers made efforts to accommodate the weather conditions and seasonal effects to bet...
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The likelihood of a crash or crash potential is significantly affected by short-term turbulence of traffic flow. For this reason, crash potential must be estimated on a real-time basis by monitoring the current traffic condition. In this regard, a probabilistic real-time crash prediction model relating crash potential to various traffic flow characteristics which lead to crash occurrence, or “c...
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ژورنال
عنوان ژورنال: INFRASTRUCTURE PLANNING REVIEW
سال: 2009
ISSN: 0913-4034,1884-8303
DOI: 10.2208/journalip.26.979