1 citations · 1 across the 13 of their papers we have counts for
15 papers
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…
COOL: Curiosity-Driven Object Ownership Learning for Personalized Robotic Assistance
Samira Huber, Ruben Hammele, Sören Pirk
Robots are increasingly expected to provide personalized services in everyday environments. To do so, they must ground natural-language commands such as "Where is my backpack?" or…
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…
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…
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…
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…
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…
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…
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…
Platoon Coordination and Leader Selection in Mixed Transportation Systems via Dynamic Programming
Ying Wang, Ting Bai, Andreas A. Malikopoulos
With the growing penetration of electric trucks, freight transportation is transitioning toward a mixed system comprising both fuel-powered and electric trucks. Enhancing truck pla…
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…
Deviation Between Team-Optimal Solution and Nash Equilibrium in Flow Assignment Problems
Gehui Xu, Ting Bai, Andreas A. Malikopoulos +1
We investigate the relationship between the team-optimal solution and the Nash equilibrium (NE) to assess the impact of strategy deviation on team performance. As a working use cas…
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…
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…
SD-FFR: Software Defined Fast Failure Recovery Mechanism in the Automatic Warehouse
Ting-Cian Bai, Chin-Ya Huang
Due to the rapid development of IoT technology, automatic guided vehicles (AGVs) interact with an industrial control system (ICS) through the wireless network to support the freigh…