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The advancements of technology continuously rising over the years has seen many applications that are useful in providing users with sufficient information to make better journey plans on their own. However, commuters still find themselves going through congested routes every day to get to their destinations. This paper attempts to delineate the possibilities of improving urban mobility through big...
Even though we are currently witnessing an unprecedented growth in the collection of movement data, practitioners in many fields still struggle with gaining access to reusable mobility data, such as traffic flows and speeds. Data availability varies considerably between different cities and regions. While some publish comprehensive open datasets, others either do not provide their data or do not even...
Weather factors such as temperature and rainfall in residential areas and tourist destinations affect traffic flow on the surrounding roads. In this study, we attempt to find new knowledge between traffic congestion and weather by using big data processing technology. Changes in traffic congestion due to the weather are evaluated by using multiple linear regression analysis to create a prediction...
A typical unmanned ground vehicle (UGV) mission can be composed of various tasks and several alternative paths. Small UGVs commonly rely on electric rechargeable batteries for their operations. Since each battery has limited energy storage capacity, it is essential to predict the expected mission energy requirement during the mission execution and update this prediction adaptively via real-time performance...
Highway evaluation and prediction system of highway pavement is used for evaluating and predicting utilization performance on the structure of the highway pavement by adopting computer technology. Performance evaluation and prevention system of highway pavement based on linear regression method is put forward in the article. Firstly, it is to analyze the detection data on actual road and establish...
The parameter estimation computation in grey linear regression model is relatively complicated, the development coefficient is decided by its simple average and it's vulnerable with the aberrant value and logarithmic neck may be negative. Aiming at those problems, in this paper, we present a new estimation method and three kinds of representations of the model including the Range form, Connotation...
Understanding the end-to-end behavior of complex systems where computing technology interacts with physical world properties is a core challenge in cyber-physical computing. This paper develops a hierarchical modeling methodology for open cyber-physical systems that combines techniques in estimation theory with those in data mining to reliably capture complex system behavior at different levels of...
Since 1960, the pavement serviceability index has supported the efforts of engineers who make decisions concerning maintenance strategies. The data of pavement surfaces do not belong to a normal distribution. Because the data violate the basic assumptions of linear regression, the pavement serviceability index is not suitable for regression modeling. Many kinds of prediction models with non-statistical...
Passenger Transport Volume forecasting is a hot topic in the field of transportation and is meaningful to improve the traffic situation, can also help common people on installment plan. Different linear regression models, including one variable linear regression and multivariate linear regression, and nonlinear regression models, including power function and exponential function, were introduced and...
The number of death and injury in the traffic accident is continue increasing year by year in China, which brings a great lost for social economy. In this paper we mainly studied on the data of traffic accident and follow volume in a certain section of road. And based on the theory of fuzzy mathematics and linear regulation to construct the fuzzy linear regression prediction model, and make an evaluation...
In recent years the number of death and injury in the traffic accident is continue increasing year by year in China, which brings a great lost for social economy. In this paper we mainly studied on the data of traffic accident and follow volume in a certain section of road. Fuzzy regression analysis using fuzzy linear models with symmetric triangular fuzzy number coefficients has been formulated earlier...
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