Articles with "traffic simulation" as a keyword



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AVDM: A hierarchical command-and-control system architecture for cooperative autonomous vehicles in highways scenario using microscopic simulations

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Published in 2021 at "Autonomous Agents and Multi-Agent Systems"

DOI: 10.1007/s10458-021-09499-6

Abstract: Microscopic agent-based traffic simulation is an important tool for the efficient and safe resolution of various traffic challenges accompanying the introduction of autonomous vehicles on the roads. Both the variety of questions that can be… read more here.

Keywords: traffic; traffic simulation; control; scenario ... See more keywords

Traffic simulation for natural disaster preparedness: case study of Dadar, Mumbai

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Published in 2025 at "International Journal of Disaster Resilience in the Built Environment"

DOI: 10.1108/ijdrbe-12-2024-0130

Abstract: With rapid urbanisation and increased rainfall leading to frequent flooding, this research aims to focus on analysing road network performance during disruptions and to assess the effectiveness of various evacuation strategies. This study uses a… read more here.

Keywords: evacuation; road; network; scenario ... See more keywords

Alicante-Murcia Freeway Scenario: A High-Accuracy and Large-Scale Traffic Simulation Scenario Generated Using a Novel Traffic Demand Calibration Method in SUMO

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Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2021.3126269

Abstract: The design, testing and optimization of Vehicle to Everything (V2X), connected and automated driving and Intelligent Transportation Systems (ITS) and technologies requires mobility traces and traffic simulation scenarios that can faithfully characterize the vehicular mobility… read more here.

Keywords: traffic demand; traffic; traffic simulation; scenario ... See more keywords

Multimodal Multi-Agent Joint Traffic Simulation With Collision and Run-Off-Road Mitigation

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Published in 2025 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2025.3602664

Abstract: Simulation environments featuring data-driven traffic agents have become essential tools for training and assessing autonomous driving (AD) systems, offering a safer and more cost-effective alternative to real-world testing. However, prevalent data-driven simulations often focus on… read more here.

Keywords: road; multimodal multi; collision; simulation ... See more keywords

A Deep Learning-Based Framework for Intersectional Traffic Simulation and Editing

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Published in 2020 at "IEEE Transactions on Visualization and Computer Graphics"

DOI: 10.1109/tvcg.2018.2889834

Abstract: Most of existing traffic simulation methods have been focused on simulating vehicles on freeways or city-scale urban networks. However, relatively little research has been done to simulate intersectional traffic to date despite its broad potential… read more here.

Keywords: learning based; intersectional traffic; based framework; traffic simulation ... See more keywords

Link-based Traffic Estimation and Simulation for Road Networks using Electronic Registration Identification data

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Published in 2022 at "IEEE Transactions on Vehicular Technology"

DOI: 10.1109/tvt.2022.3171835

Abstract: Traffic estimation and traffic simulation are essential parts of the intelligent transportation system. In recent years, massive traffic data has brought many data-based traffic estimation methods, but few are utilized in traffic simulation. The cause… read more here.

Keywords: based traffic; traffic; traffic estimation; estimation ... See more keywords

Spatio‐temporal Keyframe Control of Traffic Simulation using Coarse‐to‐Fine Optimization

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Published in 2022 at "Computer Graphics Forum"

DOI: 10.1111/cgf.14699

Abstract: We present a novel traffic trajectory editing method which uses spatio‐temporal keyframes to control vehicles during the simulation to generate desired traffic trajectories. By taking self‐motivation, path following and collision avoidance into account, the proposed… read more here.

Keywords: traffic; coarse fine; traffic simulation; optimization ... See more keywords

An Efficient Parallelization of Microscopic Traffic Simulation

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Published in 2025 at "Applied Sciences"

DOI: 10.3390/app15136960

Abstract: Large-scale traffic simulations at a microscopic level can mimic the physical reality in great detail so that innovative transport services can be evaluated. However, the simulation times of such scenarios is currently too long to… read more here.

Keywords: efficient parallelization; parallelization microscopic; microscopic traffic; simulation ... See more keywords

A Prediction Method for City Traffic Noise Based on Traffic Simulation under a Mixed Distribution Probability

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Published in 2024 at "Sustainability"

DOI: 10.3390/su16167065

Abstract: Predicting and assessing urban traffic noise is crucial for environmental management. This paper establishes a traffic noise simulation method based on microscopic traffic simulation, utilizing a traffic simulation under a mixed distribution probability combining normal… read more here.

Keywords: distribution; traffic noise; traffic simulation; traffic ... See more keywords