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This report summarizes the methodologies and techniques we developed and applied for tackling task 3 of the IEEE ICDM Contest on predicting traffic velocity based on GPS data. The major components of our solution include 1) A pre-processing procedure to map GPS data to the network, 2) A K-nearest neighbor approach for identifying the most similar training hours for every test hour, and 3) A heuristic...
In order to improve the Vehicle Weigh in Motion System with precision, the paper introduces Nerve Net Algorithm to error analysis. The article sets up a neural network model by determining the neural network input and output variables. Then, the function is defined by net training on MATLAB software. Finally through the experimental verification of Nerve Net Algorithm improving Weigh in Motion System...
Traffic conflict discrimination is a basic technology to evaluate road traffic safety and driving assistance. In order to improve the accuracy of the traffic conflict discrimination and to achieve the level of the automatic discrimination, the traffic conflict discrimination can be divided into two stages: occurance discrimination and severity discrimination. The integrated application of traffic...
Millions of road users and pedestrians are killed in traffic accidents each year. The need to increase road safety is one of the major concerns, and the better way to increase safety is to develop systems which are able to automatically drive. The authors have tried to extract the information of sharpness of curves on the road and have presented the system which will provide the intelligent speed...
The driver emergency braking behavior to be distinguished and predicted exactly was difficult. In order to gain the testing data of driver emergency braking action, 7 professional drivers were selected and 3 scenes of driver braking behavior were designed and simulated by means of road test. And the testing data were captured by the data acquisition system with sensors. Utilizing relative fuzzy membership...
This paper presents a novel kernel density estimation approach to vehicle trajectory learning and motion analysis. The framework comprises a training stage and a testing stage. In the training stage, vehicle trajectories are first clustered by the hierarchical spectral clustering method. Then, through the proposed kernel density estimation approach, the average kernel density of one point on a trajectory...
Toll system is improving at the same time of expressway greatly developing . Intelligent toll system attracts more and more attentions and gets very wide application. With the development of computer, communication and network technology, toll system also has intelligent and network management. Toll system collects unremittingly a lot of toll flow date and other traffic information.We can predict...
With a large number of traffic parameters data, it is an important issue that how to set up an efficient model of classification and prediction to identify the congestion state as soon as possible. The article provided a model of predicting traffic congestion based on the learn vector quantization neural network by making use of traffic parameters such as speed, volume and occupancy which were detected...
This paper proposes a fuzzy logic signal controller with adaptive dynamic programming optimizing for traffic intersection. Because fuzzy logic has a clear advantage that it is able to use expert knowledge well, we adopt it in our controller. As adaptive dynamic programming is an advanced technology which is suitable for solving non-linear stochastic system optimizing problems, we use it to optimize...
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