An overview of agent-based traffic simulators [PDF]
Individual traffic significantly contributes to climate change and environmental degradation. Therefore, innovation in sustainable mobility is gaining importance as it helps to reduce environmental pollution. However, effects of new ideas in mobility are
Neil Urquhart +2 more
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Live Intersection Data Acquisition for Traffic Simulators (LIDATS) [PDF]
Real-time traffic signal acquisition and network transmission are essential components of intelligent transportation systems, facilitating real-time traffic monitoring, management, and analysis in urban environments.
Travis Atkison +2 more
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A Comparative Study of Urban Road Traffic Simulators
Road traffic management has become a worldwide concern. Several traffic simulators have been developed in order to contribute to solving traffic congestion problems.
Mustapha Saidallah
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Dynamic Search of Train Shortest Routes Within Microscopic Traffic Simulators
Computer simulations are frequently used for rail traffic optimization. This approach, referred to as simulation-based optimization, typically employs simulation tools – simulators that are designed to examine railway systems at various levels of ...
Roman Diviš, Antonin Kavicka
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Enhancing traffic safety analysis with digital twin technology: integrating vehicle dynamics and environmental factors into microscopic traffic simulation [PDF]
Traffic safety is a critical concern in transportation engineering and urban planning. Traditional traffic safety analysis requires trained observers to collect data in the field, which is time-consuming, labor-intensive, and sometimes inaccurate.
Guanhao Xu +6 more
doaj +2 more sources
Vehicle Emission Models and Traffic Simulators: A Review
Accurate estimations and assessments of vehicle emissions can support decision-making processes. Current emission estimation tools involve several calculation methods that provide estimates of the exhaust components that result from driving on urban ...
Maksymilian Mądziel
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Behind the Wheel of a Truck Simulator: Comparison of Self-Reported, Performance-Based, and Simulation Methods for Predicting Driver Traffic Offences [PDF]
Traffic violations represent a significant public health concern, with professional drivers substantially impacting road safety. This pilot study compared self-report questionnaires (general personality versus domain-specific), performance-based tests ...
Paulina Baran +4 more
doaj +2 more sources
Quantitative Methodology for Comparing Microscopic Traffic Simulators
As part of transportation planning processes, simulators are used to mirror real-world situations to test new policies and evaluate infrastructure changes.
Jürgen Pannek, Dominik Wittenberg
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SimulatorOrchestrator: A 6G-Ready Simulator for the Cell-Free/Osmotic Infrastructure [PDF]
To the best of our knowledge, we offer the first IoT-Osmotic simulator supporting 6G and Cloud infrastructures, leveraging the similarities in Software-Defined Wide Area Network (SD-WAN) architectures when used in Osmotic architectures and User-Centric ...
Rohin Gillgallon +3 more
doaj +2 more sources
PyTSC: A Unified Platform for Multi-Agent Reinforcement Learning in Traffic Signal Control [PDF]
Multi-Agent Reinforcement Learning (MARL) presents a promising approach for addressing the complexity of Traffic Signal Control (TSC) in urban environments.
Rohit Bokade, Xiaoning Jin
doaj +2 more sources

