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Traffic incidents such as crashes have significant impacts on urban expressway operation. The roadside service and operational efficiency of urban expressways could be improved based on a well-developed incident duration prediction model. In this study, a hybrid approach that combines Cox regression and random survival forests algorithm is developed to establish incident duration analysis model. The...
Real time traffic crash risk prediction is very important for proactive safety management systems. In this paper, a new model is developed to predict real time traffic crash risk based on some elaborately selected characteristics of traffic flow. Compared with the dominant conventional matched case-control logistic regression model which is based on the assumption that all the traffic crashes share...
This paper investigates the effects of microscopic traffic, weather, and roadway geometric factors on the occurrence of specific crash types for a freeway. The I-70 Freeway was chosen for this paper since automatic vehicle identification (AVI) and weather detection systems are implemented along this corridor. A main objective of this paper is to expand the purpose of the existing intelligent transportation...
Hard-switching technique under the high voltage and high current is one of main trends of high power inverters. Under this switching mode, the stray parameters of the commutating loops, especially the stray inductance of the DC bus bar, have significant influence on the switching process, electromagnetic interference and component stress of the semiconductor switches. It becomes one of the key points...
Based on RAT model method, the fast algorithm of parameter estimation of discrete digital signal is studied in this paper. The model of multi-component LFM signal and the parameter estimation of RAT are presented. The fast algorithm of RAT model method of the discrete digital signal is offered, and residual expansion coefficient(REC) is proposed to testify the performance of parameter estimation,...
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