Probabilistic Modeling of Erroneous Human Response to In-Vehicle Route Guidance Systems: A First Look
An integral component of (in-vehicle) navigation systems is the determination of optimal routes to the desired destination. An implicit assumption in the underlying algorithms is that people do not make mistakes when following the prescribed routes. This is, however, not always consistent with reality, especially when driving in unfamiliar environments. This article presents a first look at the possibility of mistakes when driving. This possibility is formalized in a Markov decision process. It is demonstrated that quite paradoxical situations can occur when accounting for mistakes. As the most interesting—but perhaps extreme—example, the authors have shown that under certain conditions, it is no longer optimal to recommend drivers to take the shortest route. Instead, a longer route (in certain cases even the longest!) becomes optimal. Numerical results are provided throughout the article to reveal the fundamental properties of this problem.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/15472450
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Supplemental Notes:
- Abstract reprinted with permission of Taylor & Francis.
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Authors:
- Ng, ManWo
- Sathasivan, Kanthimathi
- Publication Date: 2014-4
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 131-137
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Serial:
- Journal of Intelligent Transportation Systems
- Volume: 18
- Issue Number: 2
- Publisher: Taylor & Francis
- ISSN: 1547-2450
- EISSN: 1547-2442
- Serial URL: http://www.tandfonline.com/loi/gits20
Subject/Index Terms
- TRT Terms: Advanced driver information systems; Driver errors; Markov processes; Mathematical models; Navigation systems; Route guidance
- Subject Areas: Highways; Operations and Traffic Management; Safety and Human Factors; I73: Traffic Control;
Filing Info
- Accession Number: 01529000
- Record Type: Publication
- Files: TRIS
- Created Date: Jun 26 2014 9:31AM