A review of neural networks applied to transport
References (64)
- et al.
A neural network of image-based vehicle detection
Transpn. Res.-C
(1993) - et al.
A neural network-based methodology for pavement crack detection and classification
Transpn. Res.-C
(1993) - et al.
Combining artificial neural networks and symbolic processing for autonomous robot guidance
Engng Applic. Artif. Intell.
(1991) - et al.
Simulation of freeway incident detection using artificial neural networks
Transpn. Res.-C
(1993) - et al.
Neural Computing: An Introduction
(1990) Recognition of radar signals by neural networks
- et al.
A road traffic application of neural techniques
Recherche Transports Sécurité, English Issue No. 9
(1993) - et al.
A neural network for image base vehicle detection
- et al.
Transportation demand forecasting with a computer-simulated neural network model
- et al.
Using neural network to synthesize origin-destination flow in a traffic circle
The use of neural network and time series modes for short term forecasting: a comparative study
Aircraft noise and residential property values, an artificial neural network approach
J. Transp. Econ. Policy
(1994)
The warp machine on NAVLAB
IEEE Trans. Patt. Anal. Mach. Intell
(1991)
Obstacle avoidance using neural networks
Short term inter-urban traffic forecasts using neural networks
A behavioural model of driver route choice using neural networks
The use of neural networks to recognise and predict traffic congestion
Traff. Engng Contr.
(1993)
Using neural networks to recognise predict and model traffic
Contrasting neural nets with regression in predicting performance in the transportation industry
Evaluation of artificial neural network applications in transportation engineering
Transportation Research Record
(1992)
Roadway seasonal classification using neural networks
Adaptive pattern recognition and universal recording: (1) parallel development and coding of neural feature detectors
Biol. Cybernet.
(1976)
Comparison of rule-based and neural network solutions for a structured selection problem
Transportation Research Record
(1993)
Regulation de trafic de lignes de metro basee sur la logique floue et les reseaux de neurones.
Theory of the backpropagation neural network
Determining maximum traffic flow using back propagation
The truck backer-upper: an example of self-learning in neural networks
Neural networks and physical systems with emergent collective computational abilities
Traffic mark classification using artificial neural networks
Dynamic traffic pattern classification using artificial neural networks
Transportation Research Record 1399
(1993)
Application of artificial neural networks to IVHS
Cited by (0)
Copyright © 1995 Published by Elsevier Ltd.