Crowd Density Determination for Efficient Public Transportation Facilities
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Date
2018-06-19T08:57:40Z
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Abstract
Existing information systems for urban public transportation are empowering travellers 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 travellers to further optimize their comfort. As technical basis for determining the number of passengers, we have built an inexpensive hard-and
software system to estimate the current number of passengers in a vehicle. Furthermore, we have deployed the system in several buses in the city of Madrid. In this paper, we describe the overall design rationale, the resulting system architecture as well as the
underlying algorithms. Furthermore, we provide an initial report on the system's
performance. The initial results indicate that the system can indeed provide a reasonable estimate without requiring any manual intervention.
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AYUSH THAKUR, MARUTI H, JYOTI R, JUHISHA UDHAY U, 1NH14CS019, 1NH15CS413, 1NH15CS407, 1NH15CS426