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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…
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Keywords:
traffic;
traffic simulation;
control;
scenario ... See more keywords
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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…
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Keywords:
evacuation;
road;
network;
scenario ... See more keywords
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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…
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Keywords:
traffic demand;
traffic;
traffic simulation;
scenario ... See more keywords
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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…
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Keywords:
road;
multimodal multi;
collision;
simulation ... See more keywords
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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…
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Keywords:
learning based;
intersectional traffic;
based framework;
traffic simulation ... See more keywords
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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…
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Keywords:
based traffic;
traffic;
traffic estimation;
estimation ... See more keywords
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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…
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Keywords:
traffic;
coarse fine;
traffic simulation;
optimization ... See more keywords
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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…
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Keywords:
efficient parallelization;
parallelization microscopic;
microscopic traffic;
simulation ... See more keywords
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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…
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Keywords:
distribution;
traffic noise;
traffic simulation;
traffic ... See more keywords