An Incident Detection Algorithm Based on a Discrete State Propagation Model of Traffic Flow
Title | An Incident Detection Algorithm Based on a Discrete State Propagation Model of Traffic Flow PDF eBook |
Author | Angshuman Guin |
Publisher | |
Pages | |
Release | 2004 |
Genre | Intelligent transportation systems |
ISBN |
Automatic Incident Detection Algorithms (AIDA) have been part of freeway management system software from the beginnings of ITS deployment. These algorithms introduce the capability of detecting incidents on freeways using traffic operations data. Over the years, several approaches to incident detection have been studied and tested. However, the size and scope of the urban transportation networks under direct monitoring by transportation management centers are growing at a faster rate than are staffing levels and center resources. This has entailed a renewed emphasis on the need for reliability and accuracy of AIDA functionality. This study investigates a new approach to incident detection that promises a significant improvement in operational performance. This algorithm is formulated on the premise that the current conditions facilitate the prediction of future traffic conditions, and deviations of observations from the predictions beyond a calibrated level of tolerance indicate the occurrence of incidents. This algorithm is specifically designed for easy implementation and calibration at any site. Offline tests with data from the Georgia-Navigator system indicate that this algorithm realizes a substantial improvement over the conventional incident detection algorithms. This algorithm not only achieves a low rate of false alarms but also ensures a high detection rate.
Incident Detection Algorithm Development on Signalized Urban Arterial Streets
Title | Incident Detection Algorithm Development on Signalized Urban Arterial Streets PDF eBook |
Author | Jung-Taek Lee |
Publisher | |
Pages | 342 |
Release | 1997 |
Genre | Computer algorithms |
ISBN |
Neural Network Model for Automatic Traffic Incident Detection
Title | Neural Network Model for Automatic Traffic Incident Detection PDF eBook |
Author | Hojjat Adeli |
Publisher | |
Pages | 280 |
Release | 2001 |
Genre | Disabled vehicles on express highways |
ISBN |
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.
Incident Detection Algorithm Evaluation
Title | Incident Detection Algorithm Evaluation PDF eBook |
Author | |
Publisher | |
Pages | 58 |
Release | 2001 |
Genre | Cell phones |
ISBN |
Incident Detection with Data from Loop Surveillance Systems
Title | Incident Detection with Data from Loop Surveillance Systems PDF eBook |
Author | Wei-Hua Win |
Publisher | |
Pages | 122 |
Release | 1995 |
Genre | Detectors |
ISBN |
A Complete Review of Incident Detection Algorithms & Their Deployment
Title | A Complete Review of Incident Detection Algorithms & Their Deployment PDF eBook |
Author | A. Emily Parkany |
Publisher | |
Pages | 132 |
Release | 2005 |
Genre | Computer algorithms |
ISBN |
Dissertation Abstracts International
Title | Dissertation Abstracts International PDF eBook |
Author | |
Publisher | |
Pages | 780 |
Release | 2005 |
Genre | Dissertations, Academic |
ISBN |