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Review of Virtual Traffic Simulation and Its Applications
Journal of Advanced Transportation, 2020 The increasing number of vehicles in cities brings new challenges to urban traffic management. Analyzing and modeling traffic is of great practical significance to urban intelligent traffic management.
Cui-juan Liu +3 more
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Overview Of Application Of Traffic Simulation Model
MATEC Web of Conferences, 2018 Traffic simulation is a widely used method applied in the research on traffic modelling, planning and development of traffic networks and systems. From the literature study, a variety traffic simulation models were found in experiments and applications ...
Nor Azlan Nurul Nasuha +1 more
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Optimizing Urban Traffic Efficiency and Safety via V2X: A Simulation Study Using the MOSAIC Platform [PDF]
SensorsUrban growth and rising vehicle usage have intensified congestion, accidents, and environmental impact, exposing the limitations of traditional traffic management systems.
Sebastian-Ioan Alupoaei +1 more
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Guided Conditional Diffusion for Controllable Traffic Simulation [PDF]
IEEE International Conference on Robotics and Automation, 2022 Controllable and realistic traffic simulation is critical for developing and verifying autonomous vehicles. Typical heuristic-based traffic models offer flexible control to make vehicles follow specific trajectories and traffic rules.
Ziyuan Zhong +7 more
semanticscholar +1 more source
Language-Guided Traffic Simulation via Scene-Level Diffusion [PDF]
Conference on Robot Learning, 2023 Realistic and controllable traffic simulation is a core capability that is necessary to accelerate autonomous vehicle (AV) development. However, current approaches for controlling learning-based traffic models require significant domain expertise and are
Ziyuan Zhong +7 more
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Data-Driven Traffic Simulation: A Comprehensive Review [PDF]
IEEE Transactions on Intelligent Vehicles, 2023 Autonomous vehicles (AVs) have the potential to significantly revolutionize society by providing a secure and efficient mode of transportation. Recent years have witnessed notable advancements in autonomous driving perception and prediction, but the ...
Di Chen +4 more
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BITS: Bi-level Imitation for Traffic Simulation [PDF]
IEEE International Conference on Robotics and Automation, 2022 Simulation is the key to scaling up validation and verification for robotic systems such as autonomous vehicles. Despite advances in high-fidelity physics and sensor simulation, a critical gap remains in simulating realistic behaviors of road users. This
Danfei Xu +3 more
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InterSim: Interactive Traffic Simulation via Explicit Relation Modeling [PDF]
IEEE/RJS International Conference on Intelligent RObots and Systems, 2022 Interactive traffic simulation is crucial to autonomous driving systems by enabling testing for planners in a more scalable and safe way compared to real-world road testing.
Qiao Sun +3 more
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CBLab: Supporting the Training of Large-scale Traffic Control Policies with Scalable Traffic Simulation [PDF]
Knowledge Discovery and Data Mining, 2022 Traffic simulation provides interactive data for the optimization of traffic control policies. However, existing traffic simulators are limited by their lack of scalability and shortage in input data, which prevents them from generating interactive data ...
Chumeng Liang +9 more
semanticscholar +1 more source
IEEE Access, 2023 This article proposes an adaptive parameter optimization energy management strategy suitable for range-extended electric vehicle (R-EEV), with the optimization objectives of improving vehicle economy, reducing emissions and extending battery life.
Cheng Chang +3 more
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