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Real-time crash prediction models are playing a key role in transportation information system. Support vector machine (SVM), a classification learning algorithm, was introduced to evaluate real-time crash risk. The size of traffic dataset is always large with a high accumulating speed. By applying a warm start strategy, an incremental learning algorithm is introduced to update the original model....
Prediction is one of the key functions of traffic safety management system and fatality prediction is the priority. In previous studies, time series theory was widely used in traffic fatality predication. Researchers have applied Auto-Regressive Integrated Moving Average (ARIMA) model to the traffic safety data. To introduce relevant features, which influences the model's reliability and accuracy,...
Data mining is a challenge for end-users, which requires knowledge and skills on business domains, data mining algorithms and software development. In response to the challenge, we have proposed, designed and implemented a novel data mining system named RFDM (RHadoop-based Fuzzy Data Mining), which supports fuzzy data mining process and experience with user convenience and reduced cost. The system...
For traditional data mining tasks, algorithms are commonly selected by manual effort. However, it is a challenge for any practitioner to select the most appropriate algorithm from hundreds of candidates. To address this issue, we have proposed a novel model for supporting automatic selection on data mining algorithms. The model incorporates the extracted characteristics of data sets and the dynamically...
Right-lane driving rule is common in most countries in the world. Nonetheless people supported this rule while fail to be aware that it may not have perfect performance in certain aspects. This paper modeled driving rules and discussed performances. We construct an overtaking model and a non-changing lane driving model to illustrate the right-lane driving rule. Computer simulations are employed respectively...
Despite the improving prediction methods reported in outcome prediction studies of hepatocellular carcinoma (HCC) surgery, few studies have used longitudinal data for periods exceeding two years. Additionally, most studies have analyzed populations in the US or in the OECD countries, which may substantially differ from those in Taiwan. The purpose of this study was to validate the use of artificial...
In aircraft flight test phase, in order to verify whether the aircraft has reached the reliability requirements, we need to assess its reliability. Firstly, in this paper we review the reliability estimation method under multi-profiles that can be used to evaluate the reliability of aircraft during the flight test process and analyze its shortcoming. Then, in order to expand the amount of data, we...
Based on the geometric modeling platform ACIS (R16 version) for CAD model in IGES import, this paper uses improved discrete sequence of points(IDSP) method to search for matching curves, then we proposed to establish seven kinds of matching characteristics of topology and used a classification method to stitch surfaces. The relevant stitch module based on software KMAS is independently developed in...
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