The Virtual Driving Coach - design and preliminary testing of a predictive eco-driving assistance system for heavy-duty vehicles
The commercial vehicle sector is characterized by high competitive pressure. Fuel consumption is one major factor that influences the transport efficiency and competitiveness of logistics companies. Therefore, an eco-driving assistance system (EDAS) is developed in order to support the driver in sustainably maintaining an efficient driving style—the Virtual Driving Coach (ViDCo). In this paper, we describe the design and development process of ViDCo as well as results of the first steps of evaluation and preliminary testing. An EDAS is developed that uses knowledge of infrastructure based on digital maps in order to proactively and predictively provide the driver with driving advice. The system’s algorithms are structured within the modules “situation detection”, “driving error detection”, and “message filtering and prioritization”. The evaluation of ViDCo comprises preliminary field-testing on public roads as well as a driving simulator experiment. Driving tests show that the Virtual Driving Coach is capable of enhancing fuel efficiency for commercial vehicles in real-world scenarios. The results of the driving simulator experiment indicate a positive level of user acceptance and system safety. Furthermore, the results point towards a positive correlation between user acceptance and the subjects’ judgment of learning. The Virtual Driving Coach’s concept is a promising approach for efficient and environmentally friendly road transport.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/18668887
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Supplemental Notes:
- © 2015 Daniel Heyes et al. The contents of this paper reflect the views of the author[s] and do not necessarily reflect the official views or policies of the Transportation Research Board or the National Academy of Sciences.
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Authors:
- Heyes, Daniel
- Daun, Thomas J
- Zimmermann, Andreas
- Lienkamp, Markus
- Publication Date: 2015-9
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; Maps; Photos; References; Tables;
- Pagination: 13p
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Serial:
- European Transport Research Review
- Volume: 7
- Issue Number: 3
- Publisher: Springer Publishing
- ISSN: 1866-8887
- EISSN: 1867-0717
- Serial URL: http://link.springer.com/journal/12544
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Driver support systems; Driving simulators; Ecodriving; Freight transportation; Fuel consumption; Heavy duty vehicles
- Subject Areas: Data and Information Technology; Environment; Freight Transportation; I15: Environment;
Filing Info
- Accession Number: 01574134
- Record Type: Publication
- Files: TRIS
- Created Date: Aug 27 2015 11:33AM