Chapter
Apr 26, 2012
Traffic Incident Detection Based on Wavelet and Neural Network
Authors: Xueqing Cheng [email protected], Ruixue Tang [email protected], Zhihui Tang, and Dajie ZuoAuthor Affiliations
Publication: International Conference on Transportation Engineering 2009
Abstract
Traffic incident is the main cause of nonrecurring congestion. To detect incident and to verify incident as soon as possible will reduce their adverse effects. Several traditional algorithms used in automatic incident detection are reviewed. The parameters of traffic flow detection were analyzed and processed by means of wavelet and wavelet packet and then pattern recognition of the parameters' character was done by neural network. By comparing the performances of new algorithm with traditional algorithms, it shows its advantages in many aspects, such as higher diction rate, lower false alarm rate and shorter mean detection time.
Get full access to this article
View all available purchase options and get full access to this chapter.
Information & Authors
Information
Published In
Copyright
© 2009 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
Permissions
Request permissions for this article.
ASCE Technical Topics:
- Algorithms
- Artificial intelligence and machine learning
- Computer programming
- Computing in civil engineering
- Engineering fundamentals
- Infrastructure
- Mathematical functions
- Mathematics
- Neural networks
- Parameters (statistics)
- Statistics
- Traffic accidents
- Traffic congestion
- Traffic engineering
- Traffic flow
- Traffic management
- Transportation engineering
- Transportation management
- Transportation networks
- Wavelets
Authors
Affiliations
College of Traffic and Transportation, Southwest Jiaotong University, Chengdu 610031, China. E-mail: [email protected]
Insitute of Applied Electronics, CAEP, P.O. Box 919-1016, Mianyang 621900, China. E-mail: [email protected]
Zhihui Tang
College of Traffic and Transportation, Southwest Jiaotong University, Chengdu 610031, China
Dajie Zuo
College of Traffic and Transportation, Southwest Jiaotong University, Chengdu 610031, China
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.
View Options
Get Access
Access content
Please select your options to get access
Log in/Register
Log in via your institution (Shibboleth)
ASCE Members:
Please log in to see member pricing
Purchase
Save for later Item saved, go to cart Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Get Access
Access content
Please select your options to get access
Log in/Register
Log in via your institution (Shibboleth)
ASCE Members:
Please log in to see member pricing
Purchase
Save for later Item saved, go to cart Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.