MOHA

A Multi-Mode Hybrid Automaton Model for Learning Car-Following Behaviors

Journal Article (2019)
Author(s)

Qin Lin (TU Delft - Cyber Security)

Yihuan Zhang (Tongji University)

Sicco Verwer (TU Delft - Cyber Security)

Jun Wang (Tongji University)

Research Group
Cyber Security
DOI related publication
https://doi.org/10.1109/TITS.2018.2823418
More Info
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Publication Year
2019
Language
English
Research Group
Cyber Security
Bibliographical Note
Accepted author manuscript
Issue number
2
Volume number
20
Pages (from-to)
790-796
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Abstract

This paper proposes a novel hybrid model for learning discrete and continuous dynamics of car-following behaviors. Multiple modes representing driving patterns are identified by partitioning the model into groups of states. The model is visualizable and interpretable for car-following behavior recognition, traffic simulation, and human-like cruise control. The experimental results using the next generation simulation datasets demonstrate its superior fitting accuracy over conventional models.

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