Scheduling co-operating stacking cranes with predetermined container sequences. - Dirk Briskorn; Panagiotis Angeloudis (Discret. Appl. Math., 2016)

Investigating Schedule Deviation in Construction Projects through Root Cause Analysis. - Pei-Yuan Hsu; Marco Aurisicchio; Panagiotis Angeloudis (CENTERIS/ProjMAN/HCist, 2017)

A Dynamic Network Flow Model for Interdependent Infrastructure and Supply Chain Networks with Uncertain Asset Operability. - Nils Goldbeck; Panagiotis Angeloudis; Washington Yotto Ochieng (ICCL, 2017)

Establishing Outsourcing and Supply Chain Plans for Prefabricated Construction Projects Under Uncertain Productivity. - Pei-Yuan Hsu; Marco Aurisicchio; Panagiotis Angeloudis (ICCL, 2017)

Dynamic Pricing in One-Sided Autonomous Ride-Sourcing Markets. - Renos Karamanis; Panagiotis Angeloudis; Aruna Sivakumar; Marc Stettler (ITSC, 2018)

Simulation and Evaluation of CAVs Behavior in an Isolated Signalized Intersection Equipped with Dynamic Wireless Power Transfer System. - Qingyun Liu 006; Simon Hu 001; Panagiotis Angeloudis; Yibing Wang; Lihui Zhang; Qiang Yang 004; Yongfu Li 001 (ITSC, 2019)

Resilience assessment for interdependent urban infrastructure systems using dynamic network flow models. - Nils Goldbeck; Panagiotis Angeloudis; Washington Yotto Ochieng (Reliab. Eng. Syst. Saf., 2019)

Intelligent Management of On-street Parking Provision for the Autonomous Vehicles Era. - Qiming Ye; Simon M. Stebbins; Yuxiang Feng; Eduardo Candela; Marc Stettler; Panagiotis Angeloudis (ITSC, 2020)

Identifying Critical Fleet Sizes Using a Novel Agent-Based Modelling Framework for Autonomous Ride-Sourcing. - Renos Karamanis; He-in Cheong; Simon Hu 001; Marc Stettler; Panagiotis Angeloudis (CoRR, 2020)

Endogenous stochastic optimisation for relief distribution assisted with unmanned aerial vehicles. - Jose Escribano Macias; Nils Goldbeck; Pei-Yuan Hsu; Panagiotis Angeloudis; Washington Ochieng (OR Spectr., 2020)

Fast Collision Prediction for Autonomous Vehicles using a Stochastic Dynamics Model. - Eduardo Candela; Yuxiang Feng; Daniel Mead; Yiannis Demiris; Panagiotis Angeloudis (ITSC, 2021)

A Domain Adaptation Framework for Short-term Traffic Prediction. - Junyi Li; Kaihang Zhang; Loutao Shen; Zhebing Wang; Fangce Guo; Panagiotis Angeloudis; Xiqun Michael Chen; Simon Hu 001 (ITSC, 2021)

Quantitative Risk Indices for Autonomous Vehicle Training Systems. - Eduardo Candela; Yuxiang Feng; Panagiotis Angeloudis; Yiannis Demiris (CoRR, 2021)

Location-routing Optimisation for Urban Logistics Using Mobile Parcel Locker Based on Hybrid Q-Learning Algorithm. - Yubin Liu; Qiming Ye; Yuxiang Feng; Jose Escribano Macias; Panagiotis Angeloudis (CoRR, 2021)

A Reinforcement Learning-based Adaptive Control Model for Future Street Planning, An Algorithm and A Case Study. - Qiming Ye; Yuxiang Feng; Jing Han; Marc Stettler; Panagiotis Angeloudis (CoRR, 2021)

Assignment and Pricing of Shared Rides in Ride-Sourcing Using Combinatorial Double Auctions. - Renos Karamanis; Eleftherios Anastasiadis; Panagiotis Angeloudis; Marc Stettler (IEEE Trans. Intell. Transp. Syst., 2021)

The Competition and Inefficiency in Urban Road Last-Mile Delivery. - Keyang Zhang; Jose Javier Escribano Macias; Dario Paccagnan; Panagiotis Angeloudis (AAMAS, 2022)

Integrated Path Planning and Task Assignment Model for On-Demand Last-Mile UAV-Based Delivery. - Jose Escribano Macias; Huan Chang; Panagiotis Angeloudis (ICCL, 2022)

Transferring Multi-Agent Reinforcement Learning Policies for Autonomous Driving using Sim-to-Real. - Eduardo Candela; Leandro Parada; Luís Marques 002; Tiberiu-Andrei Georgescu; Yiannis Demiris; Panagiotis Angeloudis (IROS, 2022)

Novel trajectory prediction algorithm using a full dataset: comparison and ablation studies. - Alastair Shipman; Daniel Mead; Yuxiang Feng; José Escribano; Panagiotis Angeloudis; Yiannis Demiris (ITSC, 2022)

Approximate Optimum Curbside Utilisation for Pick-Up and Drop-Off (PUDO) and Parking Demands Using Reinforcement Learning. - Qiming Ye; Yuxiang Feng; Jingshuo Qiu; Marc Stettler; Panagiotis Angeloudis (ITSC, 2022)

A Decentralised Multi-Agent Reinforcement Learning Approach for the Same-Day Delivery Problem. - Elvin Ngu; Leandro Parada; Jose Javier Escribano Macias; Panagiotis Angeloudis (CoRR, 2022)

Location-Routing Planning for Last-Mile Deliveries Using Mobile Parcel Lockers: A Hybrid Q-Learning Network Approach. - Yubin Liu; Qiming Ye; Jose Escribano Macias; Yuxiang Feng; Panagiotis Angeloudis (CoRR, 2022)

Safe and Efficient Manoeuvring for Emergency Vehicles in Autonomous Traffic using Multi-Agent Proximal Policy Optimisation. - Leandro Parada; Eduardo Candela; Luís Marques 002; Panagiotis Angeloudis (CoRR, 2022)

Vehicle Redistribution in Ride-Sourcing Markets Using Convex Minimum Cost Flows. - Renos Karamanis; Eleftherios Anastasiadis; Marc Stettler; Panagiotis Angeloudis (IEEE Trans. Intell. Transp. Syst., 2022)

ST CrossingPose: A Spatial-Temporal Graph Convolutional Network for Skeleton-Based Pedestrian Crossing Intention Prediction. - Xingchen Zhang; Panagiotis Angeloudis; Yiannis Demiris (IEEE Trans. Intell. Transp. Syst., 2022)

Monocular Visual Traffic Surveillance: A Review. - Xingchen Zhang; Yuxiang Feng; Panagiotis Angeloudis; Yiannis Demiris (IEEE Trans. Intell. Transp. Syst., 2022)

Last-mile Collaboration: A Decentralized Mechanism with Performance Guarantees and its Implementation. - Keyang Zhang; Jose Javier Escribano Macias; Dario Paccagnan; Panagiotis Angeloudis (AAMAS, 2023)

Constrained Multi-Agent Reinforcement Learning Policies for Cooperative Intersection Navigation and Traffic Compliance. - Fahmy Adan; Yuxiang Feng; Panagiotis Angeloudis; Mohammed Quddus 001; Washington Ochieng (ITSC, 2023)

Driving Style Classification Using Deep Temporal Clustering with Enhanced Explainability. - Yuxiang Feng; Qiming Ye; Fahmy Adan; Luís Marques 002; Panagiotis Angeloudis (ITSC, 2023)

Bi-Level Programming Approach for Optimal Charging Station Location and Traffic Assignment in Electric Autonomous Vehicle Systems. - Run Hu; Zheyi Tang; Qinru Hu; Xiaoxiang Na; Panagiotis Angeloudis; Der-Horng Lee; Simon Hu 001 (ITSC, 2023)

Quantifying the Capability of Autonomous Robot-Assisted Distribution in Last-Mile: Insight from Rural to Urban Configurations. - Yubin Liu; Keyang Zhang; Jose Escribano Macias; Panagiotis Angeloudis (ITSC, 2023)

Real-time Dispatching for Autonomous Vehicles in Open-pit Mining Deployments using Deep Reinforcement Learning. - Kenta Matsui; Jose Escribano Macias; Panagiotis Angeloudis (ITSC, 2023)

Safety Standards for Autonomous Vehicles: Challenges and Way Forward. - Elias Nassif; Hanlin Tian; Eduardo Candela; Yuxiang Feng; Panagiotis Angeloudis; Washington Yotto Ochieng (ITSC, 2023)

An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios. - Leandro Parada; Hanlin Tian; Jose Escribano Macias; Panagiotis Angeloudis (ITSC, 2023)

Scenario Gym: A Scenario-Centric Lightweight Simulator. - Hamish Scott; Lorenzo Niccolini; Chess Stetson; Nils Goldbeck; Ioannis Souflas; Noyan Songur; Alireza Ahrabian; Eduardo Candela; Panagiotis Angeloudis (ITSC, 2023)

Probabilistic Planning for Maritime Search and Rescue. - Luís Marques 002; Jose Javier Escribano Macias; Panagiotis Angeloudis (CoRR, 2023)

Adaptive Road Configurations for Improved Autonomous Vehicle-Pedestrian Interactions Using Reinforcement Learning. - Qiming Ye; Yuxiang Feng; Jose Javier Escribano Macias; Marc Stettler; Panagiotis Angeloudis (IEEE Trans. Intell. Transp. Syst., 2023)

Risk-aware controller for autonomous vehicles using model-based collision prediction and reinforcement learning. - Eduardo Candela; Olivier Doustaly; Leandro Parada; Felix Feng; Yiannis Demiris; Panagiotis Angeloudis (Artif. Intell., 2023)

Understanding common human driving semantics for autonomous vehicles. - Yingji Xia; Maosi Geng; Yong Chen; Sudan Sun; Chenlei Liao; Zheng Zhu; Zhihui Li; Washington Yotto Ochieng; Panagiotis Angeloudis; Mireille Elhajj; Lei Zhang 118; Zhenyu Zeng; et al. (Patterns, 2023)

Dual-branch spatio-temporal graph neural networks for pedestrian trajectory prediction. - Xingchen Zhang; Panagiotis Angeloudis; Yiannis Demiris (Pattern Recognit., 2023)

A Federated Learning-Based Framework for Ride-Sourcing Traffic Demand Prediction. - Simon Hu 001; Yin Ye; Qinru Hu; Xin Liu; Shaosheng Cao; Howard H. Yang; Yongdong Shen; Panagiotis Angeloudis; Leandro Parada; Chao Wu 001 (IEEE Trans. Veh. Technol., 2023)

Bézier Everywhere All at Once: Learning Drivable Lanes as Bézier Graphs. - Hugh Blayney; Hanlin Tian; Hamish Scott; Nils Goldbeck; Chess Stetson; Panagiotis Angeloudis (CVPR, 2024)

INTP-DM: Intention-Aware Multimodal Vehicle Trajectory Prediction Using Diffusion Model. - Yuanbo Yang; Sheng Jin 001; Xiaoxiang Na; Panagiotis Angeloudis; Simon Hu 001 (ITSC, 2024)

Enhancing Autonomous Vehicle Training with Language Model Integration and Critical Scenario Generation. - Hanlin Tian; Kethan Reddy; Yuxiang Feng; Mohammed A. Quddus 001; Yiannis Demiris; Panagiotis Angeloudis (CoRR, 2024)

Towards a Universal Evaluation Model for Careful and Competent Autonomous Driving. - Kethan Reddy; Elias Nassif; Panagiotis Angeloudis; Mohammed A. Quddus 001; Washington Ochieng (CoRR, 2024)

An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios. - Leandro Parada; Hanlin Tian; José Escribano; Panagiotis Angeloudis (CoRR, 2024)

Developing a novel approach in estimating urban commute traffic by integrating community detection and hypergraph representation learning. - Yuhuan Li; Shaowu Cheng; Yuxiang Feng; Yaping Zhang; Panagiotis Angeloudis; Mohammed A. Quddus 001; Washington Yotto Ochieng (Expert Syst. Appl., 2024)

Temporally Correlated Deep Learning-Based Horizontal Wind-Speed Prediction. - Lintong Li; Jose Escribano Macias; Mingwei Zhang; Shenghao Fu; Mingyang Huang; Xiangmin Yang; Tianyu Zhao; Yuxiang Feng; Mireille Elhajj; Arnab Majumdar; Panagiotis Angeloudis; Washington Ochieng (Sensors, 2024)

Evaluating traffic and safety impacts of diverging diamond interchange replacing roundabouts: A microsimulation study. - Jingshuo Qiu; Léah Camarcat; Paraskevi Koliou; Yuxiang Feng; Nicolette Formosa; Georgios Zacharopoulos; Paraskevi Michalaki; Panagiotis Angeloudis; Mohammed A. Quddus 001 (Simul. Model. Pract. Theory, 2025)

The Impact of Building-Induced Visibility Restrictions on Intersection Accidents. - Hanlin Tian; Yuxiang Feng; Wei Zhou; Anupriya; Mohammed A. Quddus 001; Yiannis Demiris; Panagiotis Angeloudis (CoRR, 2025)

IntNet: A Communication-Driven Multi-Agent Reinforcement Learning Framework for Cooperative Autonomous Driving. - Leandro Parada; Kevin Yu; Panagiotis Angeloudis (IEEE Robotics Autom. Lett., 2025)