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Exploring The Potential Of Combining Ramp Metering And Variable Speed Limit Strategies For Alleviating Real-Time Crash Risk On Urban Freeways, Kirolos Maged Haleem
Exploring The Potential Of Combining Ramp Metering And Variable Speed Limit Strategies For Alleviating Real-Time Crash Risk On Urban Freeways, Kirolos Maged Haleem
Electronic Theses and Dissertations
Research recently conducted at the University of Central Florida involving crashes on Interstate-4 in Orlando, Florida has led to the creation of new statistical and neural networks models that are capable of determining the crash risk on the freeway (Abdel-Aty et al., 2004; 2005, Pande and Abdel-Aty, 2006). These models are able to calculate rear-end and lane-change crash risks along the freeway in real-time through the use of static information at various locations along the freeway as well as real-time traffic data obtained by loop detectors. Since these models use real-time traffic data, they are capable of calculating rear-end and …