A Hybrid Method for Short-Term Traffic Congestion Forecasting Using Genetic Algorithms and Cross Entropy.
Pedro López-GarcíaEnrique OnievaEneko OsabaAntonio D. MasegosaAsier PerallosPublished in: IEEE Trans. Intell. Transp. Syst. (2016)
Keyphrases
- hybrid method
- short term
- cross entropy
- traffic congestion
- long term
- traffic flow
- forecasting model
- travel time
- log likelihood
- medium term
- urban areas
- maximum likelihood
- road network
- genetic algorithm
- hybrid algorithm
- load forecasting
- support vector machine
- arima model
- evaluation metrics
- training set
- objective function
- machine learning