Review of Virtual Traffic Simulation and Its Applications
Autor: | Zhen Liu, Yanjie Chai, Cuijuan Liu, Tingting Liu |
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Rok vydání: | 2020 |
Předmět: |
Economics and Econometrics
Status quo Computer science Strategy and Management media_common.quotation_subject 02 engineering and technology Car following Transport engineering 0202 electrical engineering electronic engineering information engineering Affective computing HE1-9990 media_common TA1001-1280 Mechanical Engineering ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Traffic simulation 020207 software engineering Animation Vehicle driving Computer Science Applications Transportation engineering Crowd modeling ComputerSystemsOrganization_MISCELLANEOUS Automotive Engineering 020201 artificial intelligence & image processing Crowd simulation Transportation and communications |
Zdroj: | Journal of Advanced Transportation, Vol 2020 (2020) |
ISSN: | 2042-3195 0197-6729 |
DOI: | 10.1155/2020/8237649 |
Popis: | 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. In this paper, the existing traffic simulation research is reviewed and summarized. Firstly, the crowd modeling and crowd animation are analyzed by referring to the idea of crowd simulation. Secondly, it compares and analyzes various existing car following technologies, and points out that animated traffic simulation is a hotspot in traffic simulation research. And then the concept of affective computing is integrated into the traffic simulation, considering the impacts of drivers’ emotion on vehicle driving and it is pointed out that the emotion-driven traffic flow is more authentic. Finally, combined with the status quo, the existing research drawbacks are analyzed, and the direction of future traffic simulation is pointed out. |
Databáze: | OpenAIRE |
Externí odkaz: | |
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