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In order to classify the pavement cracks in the pavement crack images, a new chain code based classification method are proposed. In this method, the preprocessing of the crack images is used to remove the unwanted object, noise and enhance the cracks. Secondly, the max entropy thresholding method is used to get the binary pavement crack images. After this, the morphological filtering operation, especially...
A traction control system (TCS) using fuzzy sliding mode control (FSMC) is proposed for the electric scooter with direct driven wheel motor in this paper. First, road friction coefficient is estimated using normal force observer and traction force observer. A road condition observer is then employed to estimate the gradient of road friction coefficient with respect to the tire slip ratio. An innovative...
Map-Matching, integrates the vehicle positioning data with digital road network, is an important positioning technique in the vehicle navigation system. An adaptive-fuzzy-network based on C-measure map-matching algorithm and its advantages were briefly summarized firstly, in which the C-measure was defined to represent the certainty of the car's existence on the corresponding road. But, as this algorithm...
The advantages of both grey clustering method and fuzzy ISODATA method were analyzed and colligated. First, the decision-making evaluation results of uncertainty system with small sample were acquired with grey clustering method. Then, applying the fuzzy ISODATA model to learn and revise the results of above grey clustering, an optimal fuzzy classification could be produced through iterative operation...
Along with the technology and society's unceasing development, the regarding regional economies' promotion effect's research of highway construction investment entered the new stage. This article focused on the region influence appraisal after highway project investment in the entire life cycle which involved to it proposed a kind of new computation models, this model by conformity fuzzy analytic...
Disastrous and traffic incidents have serious impact on the operation risk of major highway infrastructure, and risk calculation method is the basis for its safety management decision. Based on analysis of safety factors of major highway infrastructure, a combined method coupling fuzzy algorithm and Bayesian network is presented to calculate its operation risk under various events, in which fuzzy...
In order to solve the problem on evaluation of road schemes which is affected by many factors, through all the influence factors and the technical features were comprehensive analyzed, the evaluation model was set up which was based on the fuzzy mathematics and the analytic hierarchy process, and the expert evaluation method was also used. First the hierarchical structure of the road scheme evaluation...
Road vehicle detection using very high-resolution remote sensing images has a unique advantage of covering a large area at the same time over all ground-based detectors. But the detection of small vehicle-object in remote sensing imagery is still a challenging task. A scheme was proposed to detect road vehicle objects from airborne color digital orthoimagery based on fuzzy logic rule base. Firstly,...
This paper introduces the C-means fuzzy clustering method to evaluate the road traffic status. During the analysis, road traffic status was categorized into four types by using ISODATA algorithm based on expert knowledge. Meanwhile, RBF neural network classification model was established to evaluate the road traffic status. The implementation results showed that the proposed method was capable of...
This paper proposed a model and algorithm to mine local association rules from existing spatial dataset while fully taking the fact that spatial heterogeneity may widely exist in reality. The essential part of the model is the calculation localized measure of association strength (LMAS) which is used to quantify local association patterns. Spatial association relations are specifically defined as...
This paper proposes an improved FCM algorithm aiming at many problems in Fuzzy C Means algorithm, such as being sensitive to initial conditions, usually leading to local minimum results. The new algorithm can obtain global optimal solutions through a new simple and efficient selecting rule of the initial cluster centers, furthermore alternating optimization in terms of a novel separable criterion...
The veracity of land evaluation is tightly related to the reasonable weights of land evaluation factors. A new method is proposed for determining land evaluation factors by combining the subjective and objective weights based on rough sets mining theory in this paper. Objective weight is obtained based on the rough sets theory. On the basis of the experience knowledge and practical applications, decision-makers...
In order to improve the efficiency of road network route planning,many experts and scholars have conducted some studies, Dijkstra's algorithm is a research hotspot. The Dijkstra's algorithm has its own shortcomings when seeking an optimal path between two points, but it has irreplaceable advantages. Through the analysis of strengths and weaknesses of the classic Dijkstra's algorithm, we can find that...
Regeneration model of three-dimensional (3D) stochastic road provides rich resources for virtual prototyping (VP) and virtual proving ground (VPG) of vehicles. Based on the power spectral density (PSD) function of grade standard road, the road model of 3D in time domain was constructed by using the harmonic superposition method, the inverse fast Fourier transform (IFFT) method based on discretized...
The knowledge discovery of driver behavior in traffic accident database is implemented based on multi-agent technology. The multi-agent technology helps to solve the complexity problems of both discovery and driver's behavior, and achieve more intelligence for driver behavior knowledge discovery. The application of pair-database-coordination mechanism and heuristic algorithm makes the knowledge discovery...
With the rapid development of the wireless internet and mobile computing, more and more mobile-based services penetrate in business and personal life. Among them, LBS is one of the more significant services. So taken the multi-scale road network datasets in LBS as examples, this paper focuses on the multi-scale modeling, representation, and adaptive visualization for spatial data from the view of...
As a basic attribute of road traffic flow, free-flow speed is an indispensable parameter in most of transport research and management tasks. Employing the traditional freeflow speed definition method, it is hard to obtain a steady result with the real-time traffic data from Intelligent Transportation System (ITS). Based on analysis of real-time traffic data in Shanghai urban expressway, a statistical...
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