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From the 1 of 9 linked papers with an AI index.

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9 papers

math.OC2026

Modular Autonomous Transit: From Vehicle Modularity to Deployment-Ready Transit Operations

Dongyang Xia, Shadi Sharif Azadeh

The paper describes how modular autonomous vehicles, assembled from interchangeable autonomous units, can enhance transit operations, intermodal services, real-time control, and ch…

cs.LG2026

T-STAR: A Context-Aware Transformer Framework for Short-Term Probabilistic Demand Forecasting in Dock-Based Shared Micro-Mobility

Jingyi Cheng, Gonçalo Homem de Almeida Correia, Oded Cats +1

Reliable short-term demand forecasting is essential for managing shared micro-mobility services and ensuring responsive, user-centered operations. This study introduces T-STAR (Two…

math.OC2026

Integrated timetabling and scheduling of modular autonomous vehicles under uncertainty

Dongyang Xia, Jihui Ma, Shadi Sharif Azadeh

Addressing the Integrated Timetabling and Vehicle Scheduling (TTVS) problem is important for improving transit operations. Recently, the emerging modular autonomous vehicles compos…

math.OC2025

Integrated demand-side management and timetabling for an urban rail transit line: A Benders decomposition approach

Lixing Yang, Yahan Lu, Jiateng Yin +1

The intelligent upgrading of metropolitan rail transit systems has made it feasible to implement demand-side management policies that integrate multiple operational strategies in p…

math.OC2025

Robust charging station location and routing-scheduling for electric modular autonomous units

Dongyang Xia, Lixing Yang, Yahan Lu +1

Problem definition: Motivated by global electrification targets and the advent of electric modular autonomous units (E-MAUs), this paper addresses a robust charging station locatio…

math.OC2025

Dynamic Preference-based Multi-modal Trip Planning of Public Transport and Shared Mobility

Yimeng Zhang, Oded Cats, Shadi Sharif Azadeh

The shift from private vehicles to public and shared transport is crucial to reducing emissions and meeting climate targets. Consequently, there is an urgent need to develop a mult…