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Author: Hojjat Adeli
Publisher:
ISBN:
Category : Disabled vehicles on express highways
Languages : en
Pages : 280
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Book Description
Automatic freeway incident detection is an important component of advanced transportation management systems (ATMS) that provides information for emergency relief and traffic control and management purposes. In this research, a multi-paradigm intelligent system approach and several innovative algorithms were developed for solution of the freeway traffic incident detection problem employing advanced signal processing, pattern recognition, and classification techniques. The methodology effectively integrates fuzzy, wavelet, and neural computing techniques to improve reliability and robustness.
Author: Hojjat Adeli
Publisher:
ISBN:
Category : Disabled vehicles on express highways
Languages : en
Pages : 280
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Book Description
Automatic freeway incident detection is an important component of advanced transportation management systems (ATMS) that provides information for emergency relief and traffic control and management purposes. In this research, a multi-paradigm intelligent system approach and several innovative algorithms were developed for solution of the freeway traffic incident detection problem employing advanced signal processing, pattern recognition, and classification techniques. The methodology effectively integrates fuzzy, wavelet, and neural computing techniques to improve reliability and robustness.
Author: Dipti Srinivasan
Publisher:
ISBN:
Category :
Languages : en
Pages : 23
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Book Description
Automated incident detection (AID) is an essential component of an Advanced Traffic Management and Information Systems (ATMIS), which provides round the clock incident detection, and helps initiate the required action in case of an accident or incident. This paper evaluates three promising neural network models: multi-layer feed-forward neural network (MLF), basic probabilistic neural network (BPNN) and constructive probabilistic neural network (CPNN) for their incident detection performance. An important consideration in neural network-based incident detection systems is the deployment of a trained neural network on traffic systems with considerably different driving conditions. The models were developed and tested on an original freeway site in Singapore, and tested on a new freeway site in the US for their adaptability. The paper presents comparative evaluation in terms of their classification accuracy, adaptability, and network size. Results indicate that although the MLF model gives excellent classification results on the development site, the CPNN model outperforms the other two in terms of its adaptability and flexible structure. The results suggest that CPNN model has the highest potential for use in an operational automatic incident detection system for freeways.
Author: Dipti Srinivasan
Publisher:
ISBN:
Category :
Languages : en
Pages : 20
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Book Description
Automated incident detection is an essential component of a modern freeway traffic monitoring system. A number of neural network-based incident detection models have been tested independently over the past decade. This paper evaluates the adaptability of three promising neural network models for this problem: multi-layer feed-forward neural network (MLF), basic probabilistic neural network (BPNN) and constructive probabilistic neural network (CPNN). These three models have been developed on an original freeway site in Singapore and then adapted to a new freeway site in California. Apart from their incident detection performances, their adaptation strategies and network sizes have also been compared. Results of this study show that the MLF model has the best incident detection performance at the development site while CPNN model has the best performance after model adaptation at the new site. In addition, the adaptation method for CPNN model is relatively more automatic. The efficient network pruning procedure for the CPNN network resulted in a smaller network size, making it easier to implement it for real-time application. The results suggest that CPNN model has the highest potential for use in an operational automatic incident detection system for freeways.
Author: Asim Salimul Karim
Publisher:
ISBN:
Category :
Languages : en
Pages : 400
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Book Description
Author: H. Dia
Publisher:
ISBN:
Category : Disabled vehicles on express highways
Languages : en
Pages : 32
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Book Description
Author:
Publisher:
ISBN:
Category : Neural networks (Computer science)
Languages : en
Pages : 46
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Book Description
Author: H. Dia
Publisher:
ISBN:
Category : Disabled vehicles on express highways
Languages : en
Pages : 62
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Book Description
Author: B. Bavarian
Publisher:
ISBN:
Category : Detectors
Languages : en
Pages : 19
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Author: Samanwoy Ghosh Dastidar
Publisher:
ISBN:
Category :
Languages : en
Pages : 454
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Book Description
Author: Hussein Dia
Publisher:
ISBN:
Category : Electronic traffic controls
Languages : en
Pages : 526
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Book Description
