Robust driving pattern detection and identification with a wheel loader application

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Robust Driving Pattern Detection and Identification with a Wheel Loader Application

Information about wheel loader usage can be used in several ways to optimize customer adaption. First, optimizing the configuration and component sizing of a wheel loader to customer needs can lead to a significant improvement in e.g. fuel efficiency and cost. Second, relevant driving cycles to be used in the development of wheel loaders can be extracted from usage data. Third, online usage ide...

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Optimizing the configuration of a wheel loader to customer needs can lead to a significant increase in efficiency with respect to fuel economy, cost, component dimensioning etc. Experience show that even modest customer adaptation can save around 20% of fuel cost. A key motivator for this work is that wheel loader manufacturers in general does not have full information about customer usage of t...

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ژورنال

عنوان ژورنال: International Journal of Vehicle Systems Modelling and Testing

سال: 2014

ISSN: 1745-6436,1745-6444

DOI: 10.1504/ijvsmt.2014.059156