Optimization of dynamic neural network performance for short-term traffic prediction

S Ishak, P Kotha, C Alecsandru - Transportation Research …, 2003 - journals.sagepub.com
An approach is presented for optimizing short-term traffic-prediction performance by using
multiple topologies of dynamic neural networks and various network-related and traffic …

Optimizing traffic prediction performance of neural networks under various topological, input, and traffic condition settings

S Ishak, C Alecsandru - Journal of transportation engineering, 2004 - ascelibrary.org
This paper presents an approach to optimize the short-term traffic prediction performance on
freeways using multiple artificial neural network topologies under different network and …

Short term freeway traffic flow prediction using genetically-optimized time-delay-based neural networks

B Abdulhai, H Porwal, W Recker - 1999 - escholarship.org
Proper prediction of traffic flow parameters is an essential component of any proactive traffic
control system and one of the pillars of advanced management of dynamic traffic networks …

Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach

EI Vlahogianni, MG Karlaftis, JC Golias - Transportation Research Part C …, 2005 - Elsevier
Short-term forecasting of traffic parameters such as flow and occupancy is an essential
element of modern Intelligent Transportation Systems research and practice. Although many …

Short-term traffic flow prediction using neuro-genetic algorithms

B Abdulhai, H Porwal, W Recker - ITS Journal-Intelligent …, 2002 - Taylor & Francis
This paper presents a new short-term traffic flow prediction system based on an advanced
Time Delay Neural Network (TDNN) model, the structure of which is synthesized using a …

Freeway travel time prediction with state-space neural networks: Modeling state-space dynamics with recurrent neural networks

JWC Van Lint, SP Hoogendoorn… - Transportation …, 2002 - journals.sagepub.com
An approach to freeway travel time prediction based on recurrent neural networks is
presented. Travel time prediction requires a modeling approach that is capable of dealing …

Enhancing predictions in signalized arterials with information on short-term traffic flow dynamics

EI Vlahogianni - Journal of Intelligent Transportation Systems, 2009 - Taylor & Francis
Short-term traffic flow predictions are an essential part of intelligent transportation systems.
Previous research underlines the difficulty in systematically assessing the predictability of …

Time delay neural networks designed using genetic algorithms for short term inter-city traffic forecasting

P Lingras, P Mountford - … conference on industrial, engineering and other …, 2001 - Springer
Estimation of short-term traffic volumes is an important issue in the development of intelligent
transportation systems (ITS). This paper uses genetic algorithms to maximize statistical …

Short-term traffic flow prediction: neural network approach

BL Smith, MJ Demetsky - Transportation Research Record, 1994 - trid.trb.org
Much of the current activity in the area of intelligent vehicle-highway systems (IVHSs)
focuses on one simple objective: to collect more data. Clearly, improvements in sensor …

State space neural networks for freeway travel time prediction

H van Lint, SP Hoogendoorn, HJ van Zuylen - Artificial Neural Networks …, 2002 - Springer
The highly non-linear characteristics of the freeway travel time prediction problem require a
modeling approach that is capable of dealing with complex non-linear spatio-temporal …