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A hybrid method for short-term freeway travel time prediction based on wavelet neural network and Markov chain
2018
Canadian journal of civil engineering (Print)
1 Short-term travel time prediction is an essential input to Intelligent Transportation Systems 2 (ITS). Timely and accurate traffic forecasting is necessary for Advanced Traffic Management 3 Systems (ATMS) and Advanced Traveler Information Systems (ATIS). Despite several short-4 term travel time prediction approaches have been proposed in the past decade, especially for 5 hybrid models which consist of machine learning models and statistical models, few studies 6 focus on the over-fitting
doi:10.1139/cjce-2017-0231
fatcat:d4vyqtmex5d4nchu7erextkedm