Mechanical System Inspired Microscopic Traffic Model: Modeling, Analysis, and Validation

نویسندگان

چکیده

In this paper, we develop a mechanical system inspired microscopic traffic model to characterize the longitudinal interaction among chain of vehicles. particular, propose mass-spring-damper-clutch based car-following (CF) that can naturally capture behavior rational driver. Specifically, spring and damper well driver’s tendency maintain same speed as vehicle ahead while keeping (speed-dependent) desired spacing. It is also capable characterizing impact following on preceding vehicle, which generally neglected in existing models. A new string stability criterion defined for considered multi-vehicle dynamics, analysis performed parameters time delays. An efficient online parameter identification algorithm, sequential recursive least squares with inverse QR decomposition (SRLS-IQR), developed estimate driving-related parameters. These real-time estimated be employed advanced control systems enable accurate prediction trajectories improved safety fuel efficiency. The proposed algorithm are validated NGSIM, naturalistic driving dataset, our own connected data. Promising performance demonstrated.

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ژورنال

عنوان ژورنال: IEEE transactions on intelligent vehicles

سال: 2023

ISSN: ['2379-8904', '2379-8858']

DOI: https://doi.org/10.1109/tiv.2022.3146313