no code implementations • 1 Dec 2019 • Ebrahim Badrestani, Behnam Bahrak, Ali Elahi, Adib Faramarzi, Pouria Golshanrad, Amin Karimi Monsefi, Hamid Mahini, Armin Zirak
Since this approach can solve the sparsity problem that arises from the absence of cars in many road segments in a specific time interval, matrix factorization is suitable for estimating the travel time.
no code implementations • 17 Oct 2019 • Pouria Golshanrad, Hamid Mahini, Behnam Bahrak
Due to the significance of transportation planning, traffic management, and dispatch optimization, predicting passenger origin-destination has emerged as a crucial requirement for intelligent transportation systems management.
no code implementations • 29 Jan 2019 • Alireza Nejadettehad, Hamid Mahini, Behnam Bahrak
Recurrent neural networks have become one of the most popular methods for time series forecasting, however, due to the variety of these networks, the question that which type is the most appropriate one for this task remains unsolved.