Joint Optimization of Multimodal Transit Frequency and Shared Autonomous Vehicle Fleet Size with Hybrid Metaheuristic and Nonlinear Programming

Autor:	Ng, Max T. M., Mahmassani, Hani S., Tong, Draco, Verbas, Omer, Cokyasar, Taner
Rok vydání:	2024
Předmět:	Electrical Engineering and Systems Science - Systems and Control Mathematics - Optimization and Control
Druh dokumentu:	Working Paper
Popis:	This paper presents an optimization framework for the joint multimodal transit frequency and shared autonomous vehicle (SAV) fleet size optimization, a problem variant of the transit network frequency setting problem (TNFSP) that explicitly considers mode choice behavior and route selection. To address the non-linear non-convex optimization problem, we develop a hybrid solution approach that combines metaheuristics (particle swarm optimization, PSO) with local nonlinear programming (NLP) improvement, incorporating approximation models for SAV waiting time, multimodal route choice, and mode choice. Applied to the Chicago metropolitan area, our method achieves a 33.3% increase in transit ridership. Comment: 21 pages, 5 figures, a previous version is under review for the Conference on Advanced Systems in Public Transport and TransitData 2025 in Kyoto, Japan on 1 - 4 July 2025
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2412.19401 Zobrazit plný text záznamu View this record from Arxiv