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arXiv 1610.08085physics.soc-ph
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城市交通流宏观模型的推导、标定与验证。第2部分

Derivation, calibration and verification of macroscopic model for urban traffic flow. Part 2

Andrey E. Alekseenko, Yaroslav A. Kholodov, Aleksandr S. Kholodov, Anna I. Goreva, Alexander A. Kurzhanskiy, Yuriy V. Chehovich, Vsevolod M. Starozhilets

摘要:

在本文中,我们提出了一个统一的程序校准的宏观二阶多车道交通模型。重点是使用固定探测器数据和GPS轨迹的组合来校准基本图。GPS轨迹用于估计减速波速度。标定后的模型能较好地反映交通流的三个阶段:自由流、同步流和宽范围移动拥堵。所提出的方法进行了验证,在模拟使用固定的检测数据和GPS跟踪从莫斯科环路。仿真结果表明,所提出的二阶模型比一阶LWR模型更准确。

英文摘要:

In this paper, we propose a unified procedure for calibration of macroscopic second-order multilane traffic models. The focus is on calibrating the fundamental diagram using the combination stationary detector data and GPS traces. GPS traces are used in estimation of the deceleration wave speed. Thus calibrated model adequately represents the three phases of traffic: free flow, synchronized flow and the wide moving jam. The proposed approach was validated in simulation using stationary detection data and GPS traces from the Moscow Ring Road. Simulation showed that the proposed second-order model is more accurate than the first-order LWR model.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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