1 code implementation • 10 Feb 2024 • Pouria Golshanrad, Fathiyeh Faghih
The proposed methodology along with its assessment metrics contribute to increasing explainability in RNN models by providing a clear representation of their internal decision making process through the extracted SM.
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.