DocumentCode :
3272378
Title :
Anisotropic Mesoscopic traffic Simulation approach to support large-scale traffic and logistic modeling and analysis
Author :
Tian, Ye ; Chiu, Yi-Chang
Author_Institution :
Dept. of Civil Eng. & Eng. Mech., Univ. of Arizona, Tucson, AZ, USA
fYear :
2011
fDate :
11-14 Dec. 2011
Firstpage :
1495
Lastpage :
1507
Abstract :
Large-scale traffic and transportation logistics analysis requires a realistic depiction of network traffic condition in a dynamic manner. In the past decades, vehicular traffic simulation approaches have been increasingly developed and applied to describe time-varying traffic dynamics. Most of the existing approaches are so-called microscopic simulation in which complex driving behaviors such as car following and lane-changing are explicitly modeling in second or sub-second time resolution. These approaches are generally challenging to calibrate and validate and they demand a vast amount of computing resources. This paper discusses a new Anisotropic Mesoscopic Simulation (AMS) approach that carefully omits micro-scale details but nicely preserves critical traffic dynamics characteristics. The AMS model allows computational speed-ups in the order of magnitudes compared to the microscopic models, making it well-suited for large-scale applications. The underlying simulation rules and macroscopic dynamical characteristics are presented and discussed in this paper.
Keywords :
logistics; road traffic; road vehicles; transportation; AMS model; anisotropic mesoscopic traffic simulation approach; large-scale traffic modeling; large-scale transportation logistics analysis; logistic modeling; microscopic simulation; subsecond time resolution; time-varying traffic dynamics; vehicular traffic simulation approaches; Adaptation models; Computational modeling; Mathematical model; Microscopy; Traffic control; Vehicle dynamics; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference (WSC), Proceedings of the 2011 Winter
Conference_Location :
Phoenix, AZ
ISSN :
0891-7736
Print_ISBN :
978-1-4577-2108-3
Electronic_ISBN :
0891-7736
Type :
conf
DOI :
10.1109/WSC.2011.6147868
Filename :
6147868
Link To Document :
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