activity
20202026
most citedSD-FFR: Software Defined Fast Failure Recovery Mechanism in the Automatic Warehouse

1 citations · 1 across the 13 of their papers we have counts for

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11 papers · 1 filter

eess.SY2026

A Collision-Aware Predictive Rerouting Framework for Connected and Automated Vehicles

Tony Kinchen, Ting Bai, Andreas A. Malikopoulos

In this paper, we investigate the problem of mitigating non-recurrent congestion in urban transportation networks through predictive and adaptive routing for connected and automate…

eess.SY2026

Rollout-Based Charging Scheduling for Electric Truck Fleets in Large Transportation Networks

Ting Bai, Xinfeng Ru, Shaoyuan Li +1

In this paper, we investigate the charging scheduling optimization problem for large electric truck fleets operating with dedicated charging infrastructure. A central coordinator j…

eess.SY2026

Predictive Lane-Change and Routing Coordination in Bus-Priority Mixed Traffic Corridors

Tanlu Liang, Ting Bai, Andreas A. Malikopoulos

In this paper, we investigate the coordination of vehicle maneuvers in mixed-traffic corridors where connected and automated vehicles, human-driven vehicles, and buses interact und…

eess.SY2026

Battery Discharge Modeling for Electric Vehicles: A Hybrid Physics-based Residual Learning Approach

Praharshitha Aryasomayajula, Ting Bai, Andreas A. Malikopoulos

The growing integration of electric vehicle (EV) fleets into transportation services and energy systems requires accurate modeling of battery discharge and state-of-charge (SoC) ev…

eess.SY2025

A Hybrid Physics-Based and Reinforcement Learning Framework for Electric Vehicle Charging Time Prediction

Praharshitha Aryasomayajula, Ting Bai, Andreas A. Malikopoulos

In this paper, we develop a hybrid prediction framework for accurate electric vehicle (EV) charging time estimation, a capability that is critical for trip planning, user satisfact…

eess.SY2025

Optimal Platoon Formation and Stable Benefit Allocation in Mixed-Energy Truck Fleets under Size Limitations

Ting Bai, Xinfeng Ru, Andreas A. Malikopoulos

In this paper, we investigate cooperative platoon formation and benefit allocation in mixed-energy truck fleets composed of both electric and fuel-powered trucks. The central chall…

eess.SY2025

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control

Tony Kinchen, Ting Bai, Nishanth Venkatesh S. +1

Urban traffic anomalies, such as collisions and disruptions, threaten the safety, efficiency, and sustainability of transportation systems. In this paper, we present a simulation-b…

eess.SY2025

A Coordinated Routing Approach for Enhancing Bus Timeliness and Travel Efficiency in Mixed-Traffic Environment

Tanlu Liang, Ting Bai, Andreas A. Malikopoulos

This paper proposes a coordinated routing approach that investigates the use of connected and automated vehicles (CAVs) in dedicated bus lanes. The aim is to improve bus schedule a…

eess.SY2025

A Cooperative Compliance Control Framework for Socially Optimal Mixed Traffic Routing

Anni Li, Ting Bai, Yingqing Chen +2

In mixed traffic environments, where Connected and Autonomed Vehicles (CAVs) coexist with potentially non-cooperative Human-Driven Vehicles (HDVs), the self-centered behavior of hu…

eess.SY2025

Routing Guidance for Emerging Transportation Systems with Improved Dynamic Trip Equity

Ting Bai, Anni Li, Gehui Xu +2

This paper presents a dynamic routing guidance system that optimizes route recommendations for individual vehicles in an emerging transportation system while enhancing travelers' t…

eess.SY2024

Distributed Traffic Signal Control of Interconnected Intersections: A Two-Lane Traffic Network Model

Xinfeng Ru, Ting Bai, Weiguo Xia +1

In this paper, we investigate traffic signal control in a network of interconnected intersections, aiming to balance lane-level vehicle densities through optimal green-time allocat…