In this paper, a new methodology is presented for real-time detection and characterization of incidents on surface streets. The proposed automatic incident detection approach is capable of detecting incidents promptly as well as characterizing incidents in terms of time-varying lane-changing fractio
โฆ LIBER โฆ
A new methodology for evaluating incident detection algorithms
โ Scribed by Karl F. Petty; Michael Ostland; Jaimyoung Kwon; John Rice; Peter J. Bickel
- Book ID
- 108480820
- Publisher
- Elsevier Science
- Year
- 2002
- Tongue
- English
- Weight
- 464 KB
- Volume
- 10
- Category
- Article
- ISSN
- 0968-090X
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
A new methodology for incident detection
โ
Jiuh-Biing Sheu; Stephen G. Ritchie
๐
Article
๐
1998
๐
Elsevier Science
๐
English
โ 234 KB
A new methodology for modeling entrepren
โ
Raquel Ortega
๐
Article
๐
2003
๐
Springer US
๐
English
โ 79 KB
A new test methodology for evaluating sc
โ
M Wong; G.T Lim; A Moyse; J.N Reddy; H.-J Sue
๐
Article
๐
2004
๐
Elsevier Science
๐
English
โ 799 KB
Thinning algorithms: A critique and a ne
โ
E.R. Davies; A.P.N. Plummer
๐
Article
๐
1981
๐
Elsevier Science
๐
English
โ 828 KB
Enhancing Neural Network Traffic Inciden
โ
A. Samant; H. Adeli
๐
Article
๐
2001
๐
John Wiley and Sons
๐
English
โ 319 KB
A New Randomized Algorithm for Detecting
โ
Teh-Chuan Chen; Kuo-Liang Chung
๐
Article
๐
2001
๐
Elsevier Science
๐
English
โ 510 KB
ine detection is very important in image processing. In this paper, a new randomized algorithm for detecting lines is presented. The proposed algorithm is quite different from the previous parameter-based methods which vote on the parameter space. Our proposed novel algorithm does not need extra sto