This collaborative effort before NUTC and ANL aims to develop tools and methodology for transit network design in the era of shared and/or autonomous vehicle technology, recognizing the development of Mobility as a Service (MaaS) and emerging patterns in transport demand. The value of this effort lies in the analytical formulation of the multimodal transit redesign problem, enabling computationally efficient solution methods, tractable results, and policy insights. The goal is to attain near-optimal initial solutions without the need for computationally-intensive simulation-optimization iterations, which could facilitate future study and development of real-time optimization and integration into more complete simulation frameworks.
|Effective start/end date||2/23/23 → 10/31/23|
- UChicago Argonne, LLC, Argonne National Laboratory (8J-30009-0052A REV NO. 0052B)
- Department of Energy (8J-30009-0052A REV NO. 0052B)
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