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Evaluating the Added-Value of Online Bus Arrival Prediction Schemes
Oded Cats
, G Loutos
Transport and Planning
Research output
:
Contribution to journal
›
Article
›
Scientific
›
peer-review
24
Citations (Scopus)
58
Downloads (Pure)
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Dive into the research topics of 'Evaluating the Added-Value of Online Bus Arrival Prediction Schemes'. Together they form a unique fingerprint.
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INIS
prediction
100%
values
100%
buses
100%
information
55%
travel
33%
gain
22%
reliability
22%
comparative evaluations
22%
accuracy
22%
passengers
22%
operation
11%
benchmarks
11%
reduction
11%
public transport
11%
evaluation
11%
sweden
11%
errors
11%
information systems
11%
data
11%
algorithms
11%
decision making
11%
Computer Science
Prediction Rule
25%