Mesoscopic modelling and analysis of traffic flow based on stationary observations | Zendy

Yimin Wang | Zendy; Zhaocheng He | Zendy

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Mesoscopic modelling and analysis of traffic flow based on stationary observations

Author(s) -

Yimin Wang,

Zhaocheng He

Publication year - 2019

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2019.04.109

Subject(s) - computer science , platoon , mesoscopic physics , traffic flow (computer networking) , flow (mathematics) , boundary (topology) , cluster (spacecraft) , simulation , detector , real time computing , data mining , algorithm , artificial intelligence , computer network , control (management) , mechanics , telecommunications , mathematics , physics , mathematical analysis , quantum mechanics

Stationary detectors are widely used in the urban area, such as loops and traffic cameras, providing with aggregated macroscopic quantities as well as individual pass-by records that could reveal the cluster features of the traffic flow. The paper proposes a multi-lane platoon based (MLP) model that can be calibrated with stationary data. A steady-state analysis is conducted to derive the model’s internal capacity constraints (ICC). It is proved in the validation that the ICC mechanism could effectively decrease 60% of the unnatural boundary controls in the simulation system.

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