Results 11 to 20 of about 10,472,101 (345)
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
doaj +2 more sources
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
doaj +2 more sources
Simulation of Crossroad Traffic
Promet (Zagreb), 2012 It is difficult to find the right tool for making traffic regimemodels because so many different situations are involved.SIMULINK has proved to be one of the best.
Boris Tovornik +2 more
doaj +2 more sources
A merging model for motorway traffic [PDF]
, 2006 Motorway merging has long been regarded as a major source of conflicts and congestion on motorways. Traditional studies of merging behaviour are based on gap acceptance models developed mainly for urban intersections, which tend to oversimplify the very ...
Wang, Jiao
core +7 more sources
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
semanticscholar +1 more source
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
semanticscholar +1 more source
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
Traffic Dataset for Dynamic Routing Algorithm in Traffic Simulation
Journal of Artificial Intelligence and Technology, 2022 The purpose of this research is to create a simulated environment for teaching algorithms, big data processing, and machine learning. The environment is similar to Google Maps, with the capacity of finding the fastest path between two points in dynamic ...
Zhemin Zhang +4 more
semanticscholar +1 more source
IEEE Access, 2021 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 ...
Juan Jesús González Delicado +4 more
semanticscholar +1 more source
Nautical traffic simulation with multi-agent system [PDF]
, 2013 This paper describes a microscopic nautical traffic simulation model based on multi-agent system. The ship traffic is produced from the behavior of autonomous agents that represent ships.
Coen van Gulijk +16 more
core +2 more sources