Data-Driven Synthetic Optimization Method for Driving Cycle Development

Data-Driven Synthetic Optimization Method for Driving Cycle Development

One of the key tasks for improving vehicle operating costs estimation is to develop representative driving cycles. A driving cycle is a vehicle speed-time profile. The cycles are a critical input for simulating VOCs in different road scenarios. The traditional methods could not generate driving cycl...

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Bibliographic Details
Main Authors: Renjuan Sun, Yuxin Tian, Hongbo Zhang, Rui Yue, Bin Lv, Jingrong Chen
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Synthetic optimization
driving cycle
data-driven
Online Access:https://ieeexplore.ieee.org/document/8886437/

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