Application of artificial neural networks to predict speeds on two-lane rural highways

Transportation Research Record

Volumn , Issue 1751, 2001, Pages 9-17

  McFadden, John ^a   Yang, Wen Tai ^a   Durrans, S Rocky ^a  

^a The University of Alabama   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; GROUND VEHICLES; MATHEMATICAL MODELS; NEURAL NETWORKS; REGRESSION ANALYSIS; RURAL ROADS; SPEED;

OPERATING SPEED PROFILE (OSP) MODELS;

HIGHWAY TRAFFIC CONTROL;

EID: 0035741961     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/1751-02     Document Type: Conference Paper

References (14)

1. New concepts in design speed prediction
2. Possible design procedure to promote design consistency in highway geometric design on two-lane rural roads
3. Identifying stream gauges to operate for regional information
4. A theory of the learnable
5. Rainfall disaggregation using artificial neural networks