Open-ti: Open traffic intelligence with augmented language model
Transportation has greatly benefited the cities' development in the modern civilization
process. Intelligent transportation, leveraging advanced computer algorithms, could further …
process. Intelligent transportation, leveraging advanced computer algorithms, could further …
Trafficgpt: Viewing, processing and interacting with traffic foundation models
With the promotion of ChatGPT to the public, Large language models indeed showcase
remarkable common sense, reasoning, and planning skills, frequently providing insightful …
remarkable common sense, reasoning, and planning skills, frequently providing insightful …
Network Meets ChatGPT: Intent Autonomous Management, Control and Operation
Telecommunication has undergone significant transformations due to the continuous
advancements in internet technology, mobile devices, competitive pricing, and changing …
advancements in internet technology, mobile devices, competitive pricing, and changing …
TPLLM: A traffic prediction framework based on pretrained large language models
Traffic prediction constitutes a pivotal facet within the purview of Intelligent Transportation
Systems (ITS), and the attainment of highly precise predictions holds profound significance …
Systems (ITS), and the attainment of highly precise predictions holds profound significance …
Llm powered sim-to-real transfer for traffic signal control
Numerous solutions are proposed for the Traffic Signal Control (TSC) tasks aiming to
provide efficient transportation and mitigate congestion waste. In recent, promising results …
provide efficient transportation and mitigate congestion waste. In recent, promising results …
Large language models as traffic signal control agents: Capacity and opportunity
Traffic signal control is crucial for optimizing the efficiency of road network by regulating
traffic light phases. Existing research predominantly focuses on heuristic or reinforcement …
traffic light phases. Existing research predominantly focuses on heuristic or reinforcement …
TAU: A framework for video-based traffic analytics leveraging artificial intelligence and unmanned aerial systems
Smart traffic engineering and intelligent transportation services are in increasing demand
from governmental authorities to optimize traffic performance and thus reduce energy costs …
from governmental authorities to optimize traffic performance and thus reduce energy costs …
Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning
Numerous methods are proposed for the Traffic Signal Control (TSC) tasks aiming to provide
efficient transportation and mitigate congestion waste. In recent, promising results have …
efficient transportation and mitigate congestion waste. In recent, promising results have …
Intelligent Traffic Management using IoT and Machine Learning.
The continuous improvements in the Internet of Things (IoTs) and machine learning (ML)
make them the key enabling technologies for intelligent traffic management (ITM). The ability …
make them the key enabling technologies for intelligent traffic management (ITM). The ability …
Toward Data-Driven Simulation of Network-Wide Traffic: A Multi-Agent Imitation Learning Approach Using Urban Vehicle Trajectory Data
This paper aims to model network-wide vehicle movements and traffic state evolution by
considering the interactions among vehicles and link traffic conditions through a multi-agent …
considering the interactions among vehicles and link traffic conditions through a multi-agent …