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Vehicle Class is an important parameter in road traffic measurement. In this paper authors developed an algorithm to find the accuracy of the system for vehicle classification using different techniques. The algorithm mainly reads the inference system and applies various input samples, check the class of each sample and calculate the accuracy. The class is identified by checking the wheel base, ground...
It is of great significance how to identify car licence rapidly and accurately in the modern urban traffic management system. Hopfield NN is a feedback network with association function. It can figure out the weight of network according to some rules and update every nerve cell's state constantly in curse of the network evolvement. This paper presents a method identifying noise of vehicle license...
Estimation of traffic flow with reasonable accuracy is essential for successful implementation of an intelligent transportation system (ITS). Crossroads are important part of urban traffic system, whose flow prediction on each direction is one of the most extraordinary key functions in the urban ITS. Some forecasting models have been developed, but these methods' precision usually can't meet with...
Analyzing the reasons why the time headway distribution in the merging area outmost lane of urban expressway interchanges is different from that in the merging area of urban expressways. The WEIBULL model is chosen to simulate the time headway distribution, then researching the relations between the traffic flow factors and the WEIBULL parameters, and designing a RBF artificial neural networks with...
Vehicle classification is an important task for various traffic monitoring applications. This paper investigates the capabilities of acoustic feature generation for vehicle classification. Six temporal and spectral features are extracted from the audio recordings. Six different classification algorithms are compared using the extracted features. We focus on a single sensor setting to keep the computational...
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...
According to the field data, analyzing the difference between the traffic flow characteristics of the interchange and that of the road base section. Researching the influence of the total traffic volume in weaving segment, the weaving traffic volume ratio and the weight vehicle percentage of the lane N2 on the traffic volume in the merging area of the interchange, the results show that the traffic...
A parameter adjustment method of PID controller with BP neural network is developed and applied to freeway on-ramp metering in this paper. Firstly, the objective of ramp metering is determined, and a traffic flow model to describe the freeway flow process is built. Then the learning algorithm of BP neural network for adjusting the proportional, integral and differential coefficients is formulated...
In this paper, the main research is to recognize and classify vehicle on the traffic road in the hi-resolution satellite image. Because the satellite image contains the vehicle characters pixel set and the alike vehicle characters pixel set. So, there are a series of pattern recognition methods from image preprocessing to the LVQ artificial neural network works. The application of morphology is the...
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...
The traffic flow according to toll vehicle type classification spends greatly and the data is inaccurate. But the traffic flow according to traffic investigation classification may obtain easily from intelligent toll station. Using neural networks ways transform charge flow into traffic investigation flow, building-up transformation model, programming in MATLAB, Obtaining error ratio of each kind...
License plate recognition (LPR) systems are a key to many traffic related applications such as road traffic monitoring or parking lots access control. We propose an automatic license plate recognition system for GCC license plates. The system presents an algorithm for the extraction of license plate and recognition of Arabic characters and numerals. Preliminary work on the system has been investigated...
The car-following traffic flow model proposed by Bando et al. is modified by adding an acceleration-adjustment term. Moreover this modified model is extended by incorporating multi-vehicle characteristics. Analysis of linear stability on circuitous road is done. Numerical simulations for two-type-vehicles traffic systems and three-type-vehicles traffic systems show that the growth and decay of a small...
This paper aims at developing near optimal traffic signal control for multi-intersection in city. Fuzzy control is widely used in traffic signal control. For improving fuzzy controlpsilas adaptability in fluctuate states, a controller combined with neuro-fuzzy system and adaptive dynamic programming (ADP) is designed. This controller can be used for cooperative control of multi-intersection. The adaptive...
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