Traffic Light

Traffic light systems are being revolutionized by artificial intelligence, aiming to optimize traffic flow and enhance safety. Current research focuses on developing sophisticated algorithms, such as reinforcement learning and transformer networks, to dynamically adjust traffic light timings based on real-time traffic conditions captured by cameras and other sensors. These advancements are crucial for autonomous driving, improving pedestrian safety, and creating more efficient urban transportation networks, with applications ranging from optimizing traffic flow in cities to assisting visually impaired individuals in navigating intersections.

Papers

October 21, 2024

GreenEye: Development of Real-Time Traffic Signal Recognition System for Visual Impairments
Danu Kim
Development Activity Visual Impairment Traffic Light OpenIE System Recognition Problem

October 3, 2024

Traffic Light or Light Traffic? Investigating Phrasal Semantics in Large Language Models
Rui Meng, Ye Liu, Lifu Tu, Daqing He, Yingbo Zhou, Semih Yavuz
Large Language Model Natural Language Instruction Human Annotated Urban Traffic Traffic Light Semantic Processing Word Semantics

September 19, 2024

Accurate Automatic 3D Annotation of Traffic Lights and Signs for Autonomous Driving
Sándor Kunsági-Máté, Levente Pethő, Lehel Seres, Tamás Matuszka
Autonomous Driving 3D Detection Multidimensional Local Precision Rate Traffic Management 3D Annotation Lidar Point Cloud Data Traffic Light Cultural Sign Local Detector 3D Bounding Box Annotation

May 22, 2024

Traffic control using intelligent timing of traffic lights with reinforcement learning technique and real-time processing of surveillance camera images
Mahdi Jamebozorg, Mohsen Hami, Sajjad Deh Deh Jani
Reinforcement Learning Traffic Management Traffic Light Optimal Timing

April 18, 2024

X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner
Haoyuan Jiang, Ziyue Li, Hua Wei, Xuantang Xiong, Jingqing Ruan, Jiaming Lu, Hangyu Mao, Rui Zhao
Transformer Based Multi Agent Reinforcement Learning Traffic Signal Control Meta Level Traffic Light Decision Path Traffic Light Control

February 22, 2024

Applying Reinforcement Learning to Optimize Traffic Light Cycles
Seungah Son, Juhee Jin
Reinforcement Learning Deep Q Network Traffic Flow Reinforcement Learning Model Traffic Light

February 9, 2024

Is it safe to cross? Interpretable Risk Assessment with GPT-4V for Safety-Aware Street Crossing
Hochul Hwang, Sunjae Kwon, Yekyung Kim, Donghyun Kim
Large Multimodal Model GPT 4 Scene Understanding Traffic Light Safe Road Crossing INtersection Dataset Safety Prediction Task

November 23, 2023

A DRL solution to help reduce the cost in waiting time of securing a traffic light for cyclists
Lucas Magnana, Hervé Rivano, Nicolas Chiabaut
Time Matter Hidden CoST Traffic Light DRL Algorithm Reinforcement Learning Solution

October 25, 2023

Nighttime Driver Behavior Prediction Using Taillight Signal Recognition via CNN-SVM Classifier
Amir Hossein Barshooi, Elmira Bagheri
Convolutional Neural Network Deep Feature Traffic Light

September 26, 2023

Semantic Map Learning of Traffic Light to Lane Assignment based on Motion Data
Thomas Monninger, Andreas Weber, Steffen Staab
Autonomous Vehicle Semantic Map Motion Forecasting Motion Pattern Traffic Light Traffic Light Control

September 5, 2023

Traffic Light Recognition using Convolutional Neural Networks: A Survey
Svetlana Pavlitska, Nico Lambing, Ashok Kumar Bangaru, J. Marius Zöllner
Convolutional Neural Network Timely Survey CNN Architecture Traffic Light

July 27, 2023

Small, but important: Traffic light proposals for detecting small traffic lights and beyond
Tom Sanitz, Christian Wilms, Simone Frintrop
Traffic Light Traffic Light Detection Proposal Generation

July 14, 2023

LightFormer: An End-to-End Model for Intersection Right-of-Way Recognition Using Traffic Light Signals and an Attention Mechanism
Zhenxing Ming, Julie Stephany Berrio, Mao Shan, Eduardo Nebot, Stewart Worrall
Attention Mechanism Intersection Scenario Intelligent Vehicle End to End Model Recognition Model Traffic Light

May 15, 2023

aUToLights: A Robust Multi-Camera Traffic Light Detection and Tracking System
Sean Wu, Nicole Amenta, Jiachen Zhou, Sandro Papais, Jonathan Kelly
Autonomous Vehicle Traffic Light Traffic Light Detection

May 8, 2023

Robust Traffic Light Detection Using Salience-Sensitive Loss: Computational Framework and Evaluations
Ross Greer, Akshay Gopalkrishnan, Jacob Landgren, Lulua Rakla, Anish Gopalan, Mohan Trivedi
Global Evaluation Light Field Computational Approach Focal Loss Traffic Light Traffic Light Detection Human Salience

March 31, 2023

A Slow-Shifting Concerned Machine Learning Method for Short-term Traffic Flow Forecasting
Zann Koh, Yan Qin, Yong Liang Guan, Chau Yuen
Machine Learning Traffic Data Traffic Flow Traffic Flow Forecasting Traffic Light Short Term Traffic

September 3, 2022

DualCam: A Novel Benchmark Dataset for Fine-grained Real-time Traffic Light Detection
Harindu Jayarathne, Tharindu Samarakoon, Hasara Koralege, Asitha Divisekara, Ranga Rodrigo, Peshala Jayasekara
Benchmark Dataset Traffic Light Wide Angle Traffic Light Detection Dual Camera Fine Grained Vehicle

July 21, 2022

D2-TPred: Discontinuous Dependency for Trajectory Prediction under Traffic Lights
Yuzhen Zhang, Wentong Wang, Weizhi Guo, Pei Lv, Mingliang Xu, Wei Chen, Dinesh Manocha
Trajectory Prediction Vehicle Trajectory Prediction Traffic Light Dependency Aware Incident Spatial Network Behavior Graph

July 12, 2022

Wayformer: Motion Forecasting via Simple & Efficient Attention Networks
Nigamaa Nayakanti, Rami Al-Rfou, Aurick Zhou, Kratarth Goel, Khaled S. Refaat, Benjamin Sapp
Autonomous Driving Motion Forecasting Traffic Light Hierarchical Fusion Scene Encoder

May 5, 2022

Towards Real-time Traffic Sign and Traffic Light Detection on Embedded Systems
Oshada Jayasinghe, Sahan Hemachandra, Damith Anhettigama, Shenali Kariyawasam, Tharindu Wickremasinghe, Chalani Ekanayake, Ranga Rodrigo, Peshala Jayasekara
End to End Detection Model Embedded System Traffic Light Real Time Traffic Traffic Light Detection

Traffic Light

Papers

GreenEye: Development of Real-Time Traffic Signal Recognition System for Visual Impairments

Traffic Light or Light Traffic? Investigating Phrasal Semantics in Large Language Models

Accurate Automatic 3D Annotation of Traffic Lights and Signs for Autonomous Driving

Traffic control using intelligent timing of traffic lights with reinforcement learning technique and real-time processing of surveillance camera images

X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner

Applying Reinforcement Learning to Optimize Traffic Light Cycles

Is it safe to cross? Interpretable Risk Assessment with GPT-4V for Safety-Aware Street Crossing

A DRL solution to help reduce the cost in waiting time of securing a traffic light for cyclists

Nighttime Driver Behavior Prediction Using Taillight Signal Recognition via CNN-SVM Classifier

Semantic Map Learning of Traffic Light to Lane Assignment based on Motion Data

Traffic Light Recognition using Convolutional Neural Networks: A Survey

Small, but important: Traffic light proposals for detecting small traffic lights and beyond

LightFormer: An End-to-End Model for Intersection Right-of-Way Recognition Using Traffic Light Signals and an Attention Mechanism

aUToLights: A Robust Multi-Camera Traffic Light Detection and Tracking System

Robust Traffic Light Detection Using Salience-Sensitive Loss: Computational Framework and Evaluations

A Slow-Shifting Concerned Machine Learning Method for Short-term Traffic Flow Forecasting

DualCam: A Novel Benchmark Dataset for Fine-grained Real-time Traffic Light Detection

D2-TPred: Discontinuous Dependency for Trajectory Prediction under Traffic Lights

Wayformer: Motion Forecasting via Simple & Efficient Attention Networks

Towards Real-time Traffic Sign and Traffic Light Detection on Embedded Systems