[TKDD 2023] Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution
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Updated
May 24, 2021 - Python
[TKDD 2023] Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution
A selection of state-of-the-art research materials on decision making and motion planning.
[ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
This repository contains the code for the paper "LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments".
The vehicle orientation dataset is a large-scale dataset containing more than one million annotations for vehicle detection with simultaneous orientation classification using a standard object detection network.
a Map-Matching-based Python Toolbox for Vehicle Trajectory Reconstruction
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmap
[WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"
FedML for Autonomous Driving (AD), Intelligent Transportation Systems (ITS), Connected and Automated Vehicles (CAV)
Official implementation of AirV2X: Unified Air-Ground\\Vehicle-to-Everything Collaboration
[ACM TIST] "LLM4Urban: Urban Computing in the Era of Large Language Models"
Intelligent Vehicle Perception Based on Inertial Sensing and Artificial Intelligence
This repository contains the code for the paper "UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic Signal Control".
[IEEE TIM] Let You See in Haze and Sandstorm: Two-in-One Low-visibility Enhancement Network
FindVehicle: A NER dataset in transportation to extract keywords describing vehicles on the road
Traffic Control Test Bed
Open data and performance hub for the City of Austin Transportation Department
Automatically Update Visual Place Recognition Papers Daily using Github Actions (Update Every 12 hours). VPR is difficult and adapt to the times, if u not read related NEW paper as exhausitive as u can, u'll be challenged by reviewers. The repo is now related to spatial intelligence, which is similar to the previous task. Keys can be found in yaml.
A curated list of Vehicle to X (V2X) resources (continually updated)
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