Microscopic simulations of freeway traffic flow

Das, Sanjoy; Bowles, B.; Houghland, Chris R.; Hunn, Steven J.; Zhang, Yun-Long

doi:10.1109/simsym.1999.766457

Cited by 7 publications

(2 citation statements)

References 3 publications

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“…Therefore, a natural way to mimic real world systems closer is to model drivers and vehicles as separate models yet they interact. Drivers are driven by goals, act autonomously, and reason based on their knowledge -much like autonomous agents in the literature (Das, 1999;Erol et al, 2000;Ehlert and Rothkrantz, 2001;Dia, 2002;Kosonen, 2003). Figure 2 presents the structure of such an autonomous intelligent driver model.…”

Section: The Autonomous Intelligent Driver Modelmentioning

confidence: 99%

Challenges and strategies of transportation modelling and simulation under extreme conditions

Ni¹

2006

IJEM

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Recent natural and man-made hazards such as 9/11, the Asian tsunami, and Hurricane Katrina have raised worldwide concerns. To facilitate the efforts of emergency management, this paper discusses the role of transportation modelling and simulation in these efforts, identifies the challenges faced by transportation modelling and simulation under extreme conditions, and proposes strategies to address some of the challenges. More specifically, the challenges are (a) simultaneous requirements on scale and detail, (b) lack of tools to model traffic operation under extreme conditions, and (c) lack of knowledge and data about extreme conditions. In response to the first challenge, a dynamic multi-scale resolution framework is proposed to achieve the two competing goals, i.e., modelling large-scale networks yet achieving fine details of traffic operations. In response to the second challenge, a nanoscopic approach is conceptually proposed to provide the finest details of traffic operations. A conceptual case study is presented to illustrate a possible application of the above simulation framework.

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Section: The Autonomous Intelligent Driver Modelmentioning

confidence: 99%

Challenges and strategies of transportation modelling and simulation under extreme conditions

Ni¹

2006

IJEM

View full text Add to dashboard Cite

show abstract

“…When training the drivers, or in similar activities to be carried out in real conditions thought to be expensive or risky, providing a realistic simulation platform for driver training may be the answer. Traffic simulation activities involving vehicles, pedestrians, and traffic signs have been a field of application and research studies since the 1950s [1,2] and many driving simulation platforms to serve this purpose have been developed [3].…”

Section: Introductionmentioning

confidence: 99%