Imagen de Portada

E-bike agents: Large Language Model-Driven E-Bike Accident Analysis and Severity Prediction

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Yang, Zhichao, He, Jiashu, Al-Khasawneh, Mohammad B., Pandit, Darshan, Cinzia, Cirillo
Formato:	Preprint
Publicado:	2025
Materias:	Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

TransportAgents: a multi-agents LLM framework for traffic accident severity prediction
por: Yang, Zhichao, et al.
Publicado: (2026)

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction
por: Qasim, Kaleem Ullah, et al.
Publicado: (2025)

Copula-based transferable models for synthetic population generation
por: Jutras-Dubé, Pascal, et al.
Publicado: (2023)

Hotspot Prediction of Severe Traffic Accidents in the Federal District of Brazil
por: Lima, Vinicius, et al.
Publicado: (2023)

Novel Dynamic Batch-Sensitive Adam Optimiser for Vehicular Accident Injury Severity Prediction
por: Kyei, Daniel Asare, et al.
Publicado: (2026)

Smart Recommendations for Renting Bikes in Bike Sharing Systems
por: Billhardt, Holger, et al.
Publicado: (2024)

AccidentGPT: Large Multi-Modal Foundation Model for Traffic Accident Analysis
por: Wu, Kebin, et al.
Publicado: (2024)

STARN-GAT: A Multi-Modal Spatio-Temporal Graph Attention Network for Accident Severity Prediction
por: Nobin, Pritom Ray, et al.
Publicado: (2025)

Micromobility Flow Prediction: A Bike Sharing Station-level Study via Multi-level Spatial-Temporal Attention Neural Network
por: Yang, Xi, et al.
Publicado: (2025)

Comparing E-bike and Conventional Bicycle Use Patterns in a Public Bike Share System: A Case Study of Richmond, VA
por: Yang, Yifan, et al.
Publicado: (2024)

Understanding Crash Dynamics and Severity of EV Paratransit: Evidence From Easy Bike Accidents in Bangladesh
por: Haque, Nazmul
Publicado: (2026)

GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation
por: He, Jiashu, et al.
Publicado: (2024)

LM-Fix: Lightweight Bit-Flip Detection and Rapid Recovery Framework for Language Models
por: Tahmasivand, Ahmad, et al.
Publicado: (2025)

Bike3S: A Tool for Bike Sharing Systems Simulation
por: Fernández, Alberto, et al.
Publicado: (2024)

BioInstruct: Instruction Tuning of Large Language Models for Biomedical Natural Language Processing
por: Tran, Hieu, et al.
Publicado: (2023)

The Evolution of Reranking Models in Information Retrieval: From Heuristic Methods to Large Language Models
por: Pandit, Tejul, et al.
Publicado: (2025)

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments
por: Liu, Feng, et al.
Publicado: (2026)

AccidentGPT: Accident Analysis and Prevention from V2X Environmental Perception with Multi-modal Large Model
por: Wang, Lening, et al.
Publicado: (2023)

Large Language Model Driven Recommendation
por: Korikov, Anton, et al.
Publicado: (2024)

Automating Data-Driven Modeling and Analysis for Engineering Applications using Large Language Model Agents
por: Liu, Yang, et al.
Publicado: (2025)

Multi-Dimensional Behavioral Evaluation of Agentic Stock Prediction Systems Using Large Language Model Judges with Closed-Loop Reinforcement Learning Feedback
por: Ridhawi, Mohammad Al, et al.
Publicado: (2026)

On Jailbreaking Quantized Language Models Through Fault Injection Attacks
por: Zahran, Noureldin, et al.
Publicado: (2025)

Instructional Fingerprinting of Large Language Models
por: Xu, Jiashu, et al.
Publicado: (2024)

Lost in the Pipeline: How Well Do Large Language Models Handle Data Preparation?
por: Spreafico, Matteo, et al.
Publicado: (2025)

SalamahBench: Toward Standardized Safety Evaluation for Arabic Language Models
por: Abdelnasser, Omar, et al.
Publicado: (2026)

AccidentBlip: Agent of Accident Warning based on MA-former
por: Shao, Yihua, et al.
Publicado: (2024)

Exploring the Potentials and Challenges of Using Large Language Models for the Analysis of Transcriptional Regulation of Long Non-coding RNAs
por: Wang, Wei, et al.
Publicado: (2024)

Leveraging Large Language Models with Chain-of-Thought and Prompt Engineering for Traffic Crash Severity Analysis and Inference
por: Zhen, Hao, et al.
Publicado: (2024)

Prose2Policy (P2P): A Practical LLM Pipeline for Translating Natural-Language Access Policies into Executable Rego
por: Gupta, Vatsal, et al.
Publicado: (2026)

ImplicitBBQ: Benchmarking Implicit Bias in Large Language Models through Characteristic Based Cues
por: Vedula, Bhaskara Hanuma, et al.
Publicado: (2026)

Accident-Driven Congestion Prediction and Simulation: An Explainable Framework Using Advanced Clustering and Bayesian Networks
por: Talluri, Kranthi Kumar, et al.
Publicado: (2025)

Can Large Language Models Predict the Outcome of Judicial Decisions?
por: Kmainasi, Mohamed Bayan, et al.
Publicado: (2025)

Evolution of Kernels: Automated RISC-V Kernel Optimization with Large Language Models
por: Chen, Siyuan, et al.
Publicado: (2025)

Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models
por: Xu, Jiashu, et al.
Publicado: (2023)

Predicting AI Agent Behavior through Approximation of the Perron-Frobenius Operator
por: Zhang, Shiqi, et al.
Publicado: (2024)

Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models
por: Wang, Siqi, et al.
Publicado: (2024)

Evaluating Large Language Models for Security Bug Report Prediction
por: Soltaniani, Farnaz, et al.
Publicado: (2026)

Large Language Models for Predictive Analysis: How Far Are They?
por: Chen, Qin, et al.
Publicado: (2025)

Mitigating the OWASP Top 10 For Large Language Models Applications using Intelligent Agents
por: Fasha, Mohammad, et al.
Publicado: (2026)

ALCo-FM: Adaptive Long-Context Foundation Model for Accident Prediction
por: Neogi, Pinaki Prasad Guha, et al.
Publicado: (2025)