8 citations · 19 across the 13 of their papers we have counts for
13 papers
Cooperative Platoon Routing and Dispatching via Edge-Assisted Hybrid Quantum Optimization
Talha Azfar, Ruimin Ke
Cooperative platooning can reduce the energy use of Connected and Autonomous Vehicle (CAV) fleets, but the routing problem becomes difficult when vehicles must meet on the same roa…
FedQML-Edge: Compact Quantum Feature Sketches for Communication-Constrained Roadside Federated Learning
Talha Azfar, Ruimin Ke
Roadside units (RSUs) supporting connected and autonomous vehicle corridors need compact models to decide when cooperative maneuvers should be rewarded, deferred, or disabled. Raw…
Impact-Driven Quantum Decomposition for Traffic Zone Partitioning: A Hybrid Gate-Model Framework
Ruimin Ke, Talha Azfar, Kaicong Huang +1
Partitioning transportation networks into balanced and spatially coherent traffic zones is a fundamental yet computationally challenging task in intelligent transportation systems.…
Real2Sim: A Physics-driven and Editable Gaussian Splatting Framework for Autonomous Driving Scenes
Kaicong Huang, Talha Azfar, Weisong Shi +1
Reliable autonomous driving relies on large-scale, well-labeled data and robust models. However, manual data collection is resource-intensive, and traditional simulation suffers fr…
Hardware-Efficient Quantum Optimization for Transportation Networks via Compressed Adiabatic Evolution
Talha Azfar, Ruimin Ke, Sean He +2
Transportation systems such as urban logistics, vehicle routing, and infrastructure planning require solving large-scale combinatorial optimization problems under complex constrain…
Background Matters Too: A Language-Enhanced Adversarial Framework for Person Re-Identification
Kaicong Huang, Talha Azfar, Jack M. Reilly +2
Person re-identification faces two core challenges: precisely locating the foreground target while suppressing background noise and extracting fine-grained features from the target…
Quantum-Assisted Vehicle Routing: Realizing QAOA-based Approach on Gate-Based Quantum Computer
Talha Azfar, Osama Muhammad Raisuddin, Ruimin Ke +1
The Vehicle Routing Problem (VRP) is a fundamental combinatorial optimization challenge with broad applications in logistics and transportation. In this work, we present a quantum-…
TransitReID: Transit OD Data Collection with Occlusion-Resistant Dynamic Passenger Re-Identification
Kaicong Huang, Talha Azfar, Jack Reilly +1
Transit Origin-Destination (OD) data are fundamental for optimizing public transit services, yet current collection methods, such as manual surveys, Bluetooth/WiFi tracking, and Au…
Enhancing Disaster Resilience with UAV-Assisted Edge Computing: A Reinforcement Learning Approach to Managing Heterogeneous Edge Devices
Talha Azfar, Kaicong Huang, Ruimin Ke
Edge sensing and computing is rapidly becoming part of intelligent infrastructure architecture leading to operational reliance on such systems in disaster or emergency situations.…
Traffic Co-Simulation Framework Empowered by Infrastructure Camera Sensing and Reinforcement Learning
Talha Azfar, Kaicong Huang, Andrew Tracy +3
Traffic simulations are commonly used to optimize urban traffic flow, with reinforcement learning (RL) showing promising potential for automated traffic signal control, particularl…
ChatSUMO: Large Language Model for Automating Traffic Scenario Generation in Simulation of Urban MObility
Shuyang Li, Talha Azfar, Ruimin Ke
Large Language Models (LLMs), capable of handling multi-modal input and outputs such as text, voice, images, and video, are transforming the way we process information. Beyond just…
Quantum Computing in Intelligent Transportation Systems: A Survey
Yifan Zhuang, Talha Azfar, Yinhai Wang +4
Quantum computing, a field utilizing the principles of quantum mechanics, promises great advancements across various industries. This survey paper is focused on the burgeoning inte…
Deep Learning based Computer Vision Methods for Complex Traffic Environments Perception: A Review
Talha Azfar, Jinlong Li, Hongkai Yu +3
Computer vision applications in intelligent transportation systems (ITS) and autonomous driving (AD) have gravitated towards deep neural network architectures in recent years. Whil…