Real-time traffic conflict prediction at signalized intersections …
Oct 23, 2024 · The model inputs real-time traffic parameters and outputs predicted traffic conflicts, incorporating MTTC thresholds of 1.5 and 3 s to define the dataset’s actual traffic conflicts. Specifically, actual traffic conflict data is sourced from video recordings at signalized intersections.
ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario ...
Jun 21, 2023 · ScenarioNet defines a unified scenario description format and collects a large-scale repository of real-world traffic scenarios from the heterogeneous data in various driving datasets including Waymo, nuScenes, Lyft L5, and nuPlan datasets.
Real-Time Algorithm Creation for Traffic Signal Handling in C
Dec 12, 2024 · Explore the development of a real-time traffic signal handling algorithm in C#, designed to dynamically adjust signal timings based on current traffic conditions to improve flow and reduce congestion.
narioNet, an open-source platform for large-scale trafic scenario modeling and simulation. ScenarioNet defines a unified scenario description format and collects a large-scale repository of real-world trafic scenarios from the heterogeneous data in v.
A hybrid approach of traffic simulation and machine learning …
Mar 1, 2024 · In this study, we propose a framework for hybrid traffic prediction called SMURP (Simulation and Machine-learning Utilization for Real-time traffic Prediction). Like other work using a hybrid approach, the SMURP utilizes a model-based approach to target event situations.
Real-time traffic monitoring system using IoT-aided robotics and …
Jan 1, 2024 · In this study, sensor-based and vision-based techniques are combined to collect real-time road data, and two modified deep learning techniques are employed to significantly improve the accuracy of detecting and recognizing traffic signs and lights.
Real-Time Monitoring Method for Traffic Surveillance Scenarios …
Aug 21, 2024 · To mitigate the effects of complex environments, we introduced the convolutional block attention module (CBAM) into the YOLOv7 framework, which filters important features in both channel and spatial dimensions, thereby enhancing …
Models, Algorithms and Applications of DynasTIM Real-Time Traffic ...
Jan 16, 2023 · To this day, most representative real-time online traffic simulation systems may be DynaMIT and DynaSmart, for which the key models and algorithms concerning dynamic OD matrix estimation, offline/online calibration are extensively studied, and a large number of field tests are implemented.
AlexDarkNet: Hybrid CNN architecture for real-time Traffic …
Feb 20, 2024 · Capability to accurately detect vehicles in a real-time holds profound implications across diverse domains. In the context of autonomous driving, it underpins essential functions such as path planning, collision avoidance, and decision-making, essential for the safe operation of autonomous vehicles.
Real-World Data Inspired Interactive Connected Traffic Scenario …
Sep 25, 2024 · There is a gap where real-world V2X data is integrated into simulations to generate diverse and high-fidelity traffic scenarios. To fulfill this research gap, we leverage real-world Signal Phase and Timing (SPaT) data from Roadside Units (RSUs) to enhance the fidelity of CAV simulations.