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Crowd Density Estimation for Public Transport Vehicles
2014
International Conference on Extending Database Technology
Existing information systems for urban public transportation are empowering travelers to optimize their trips with respect to travel duration. Experience with such systems shows that this is a viable approach. However, we argue that solely relying on trip duration as the primary indicator for satisfaction can be limiting. Especially, in urban settings providing additional information such as the expected number of passengers can be highly beneficial since it enables travelers to further
dblp:conf/edbt/HandteI0AMNMBF14
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