An Exact Solution for Allocating Car Parking Spaces on Campus
Optimizing car parking allocation on university campuses.
Learning Traffic Signal Control via Genetic Programming: A New Approach for Efficient Traffic Signal Control
Proposing a new approach using genetic programming for efficient and explainable traffic signal control.
V2AIX: A Multi-Modal Real-World Dataset of ETSI ITS V2X Messages in Public Road Traffic
Connectivity is crucial for automated mobility, and the V2AIX dataset provides valuable insights into standardized V2X messages in public road traffic.
Leveraging Large Language Models for Traffic Signal Control
The author introduces an innovative approach integrating Large Language Models (LLMs) into Traffic Signal Control (TSC) systems to enhance decision-making in complex traffic scenarios, highlighting the potential of LLMs to revolutionize traffic management.
TPLLM: Leveraging Pretrained Large Language Models for Traffic Prediction
The author introduces TPLLM, a novel traffic prediction framework leveraging pretrained Large Language Models (LLMs) to address the challenges of limited historical traffic data. By combining sequence and graph embedding layers with LoRA fine-tuning, TPLLM achieves commendable performance in both full-sample and few-shot prediction scenarios.
Three Years After Implementing 100 km/h Speed Limit on Dutch Highways
The author argues that the implementation of a 100 km/h speed limit on Dutch highways three years ago has sparked changes in public opinion and aims to make driving less attractive, despite initial reluctance from the government.
© 2024 by Linnk AI