Traffic Crash Prediction Models for Expressway Ramps
نویسندگان
چکیده
منابع مشابه
Development of Models for Crash Prediction and Collision Estimation- A Case Study for Hyderabad City
Road traffic crash is a cause of unnatural death and occupies fifth position in the world as per WHO records. Road crashes in India are alarming in situation while road safety is professionally lacking and politically missing. Hyderabad city, the capital of newly formed Telangana State occupies sixth position in occurrence of road crashes. An attempt is made to understan...
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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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We present results on the modeling of onand off-ramps in cellular automata for traffic flow, especially the Nagel-Schreckenberg model. We study two different types of onramps that cause qualitatively the same effects. In a certain density regime ρlow < ρ < ρhigh one observes plateau formation in the fundamental diagram. The plateau value depends on the input-rate of cars at the on-ramp. The on-...
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The purpose of this study was to investigate traffic flow characteristics at off-ramp junctions in Iranian expressways. The study was conducted on the traffic behavior in isolated off-ramp vicinity of 6-lane expressways. The database consisted of traffic flow and traffic speed information extracted from videotapes. The relationship between diverging traffic flow in the right lane of expressway ...
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This study presented a method of real-time traffic condition identification based on the fuzzy c-means clustering and travel time prediction on urban expressway. The traffic flow characteristics of expressway were analyzed and the traffic flow states were divided into four classes. Then the fuzzy c-means clustering technique was used to classify the sampled historical data and the clustering ce...
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ژورنال
عنوان ژورنال: Journal of the Korean Society of Road Engineers
سال: 2012
ISSN: 1738-7159
DOI: 10.7855/ijhe.2012.14.5.133