A framework to integrate mode choice in the design of mobility-on-demand systems

Author:

Liu YangORCID,Bansal Prateek,Daziano Ricardo,Samaranayake Samitha

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference65 articles.

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3. Basu, R., Araldo, A., Akkinepally, A.P., Basak, K., Seshadri, R., Biran, B.H.N., Deshmukh, N., Kumar, N., Azevedo, C.L., Ben-Akiva, M., 2018. Implementation & policy applications of AMOD in multi-modal activity-driven agent-based urban-simulator simmobility.

4. Random search for hyper-parameter optimization;Bergstra;J. Mach. Learn. Res.,2012

5. Bergstra, J., Yamins, D., Cox, D., 2013. Making a science of model search: hyperparameter optimization in hundreds of dimensions for vision architectures. In: International Conference on Machine Learning, pp. 115–123.

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