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Toplam kayıt 7, listelenen: 1-7
Application of Smeed and Andreassen accident models for Turkey: Various scenario analyses
(Gazi Univ, Fac Engineering Architecture, 2008)
In this study, accident prediction models for Turkey were developed by using the historical data, between 1986 and 2005, including population (P), the number of vehicles (N), accidents (C), injuries (I), and fatalities ...
Estimation of delay and vehicle stops at signalized intersections using artificial neural network
(Univ Rijeka, Fac Engineering, 2016)
Delay and number of vehicle stops are important indicators that define the level of service of a signalized intersection. Therefore, they are usually considered for optimizing the traffic signal timing. In this study, ANNs ...
Comparison Of Different Approaches In Traffic Forecasting Models For The D-200 Highway In Turkey
(Fac Transport Silesian Univ Technology, 2018)
Short-term traffic estimations have a significant influence in terms of effectively controlling vehicle traffic. In this study, short-term traffic forecasting models have been developed based on different approaches. ...
Optimizing a fuzzy logic traffic signal controller via the differential evolution algorithm under different traffic scenarios
(Sage Publications Ltd, 2016)
This study aims at optimizing fuzzy logic controller (FLC) triangle membership functions (MFs) for different traffic volumes via differential evolution (DE). To achieve this goal, a new FLC with a red time limiter, which ...
Analysis And Comparison Of Long Short-Term Memory Networks Short-Term Traffic Prediction Performance
(FAC TRANSPORT SILESIAN UNIV TECHNOLOGY, 2020)
Long short-term memory networks (LSTM) produces promising results in the prediction of traffic flows. However, LSTM needs large numbers of data to produce satisfactory results. Therefore, the effect of LSTM training set ...
Analysis of the relationship between LSTM network traffic flow prediction performance and statistical characteristics of standard and nonstandard data
(WILEY, 2020)
The effectiveness of road traffic control systems can be increased with the help of a model that can accurately predict short-term traffic flow. Therefore, the performance of the preferred approach to develop a prediction ...
Short-Term Traffic Flow Prediction Using Artificial Intelligence With Periodic Clustering And Elected Set
(SVENCILISTE U ZAGREBU, FAKULTET PROMETNIH ZNANOSTI, 2020)
Forecasting short-term traffic flow using historical data is a difficult goal to achieve due to the randomness of the event. Due to the lack of a solid approach to short-term traffic prediction, the researchers are still ...