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Smartphone‐based crowdsourcing for position estimation of public transport vehicles
2 references·1 citing·13 second hop
Smartphone‐based crowdsourcing for position estimation of public transport vehicles (2017)Smartphone‐based crowdsourcing for positi…Finding occupancy in buses using crowdsourced data from smartphones (2016)Finding occupancy in buses us…Transport poverty meets the digital divide: accessibility and connectivity in rural communities (2012)Transport poverty meets the d…A Kalman Filter-based Dynamic Model for Bus Travel Time Prediction (2018)A Kalman Filter-based Dynamic…Transport and social exclusion: investigating the possibility of promoting inclusion through virtual mobility (2002)Rural accessibility, social inclusion and social justice: towards conceptualisation (2004)Quantifying spatial gaps in public transport supply based on social needs (2009)Rural development in the digital age: A systematic literature review on unequal ICT availability, adoption, and use in rural areas (2015)Transport poverty and its adverse social consequences (2016)The scales of human mobility (2020)Understanding the space for co-design in riders' interactions with a transit service (2010)Use of mobile phone data for analysis of number of train travellers (2018)Opportunistic sensing based detection of crowdedness in public transport buses (2020)Internet of Things as an optimization tool for Smart Airport concept (2021)The valuation of reliability for personal travel (2001)A Dynamic Bus‐Arrival Time Prediction Model Based on APC Data (2004)Bus dwell time: the effect of different fare collection systems, bus floor level and age of passengers (2011)
this work references cited by second hop

References

  • 2012Transport poverty meets the digital divide: accessibility and connectivity in rural communities379 cited
  • 2016Finding occupancy in buses using crowdsourced data from smartphones22 cited

Cited by

  • 2018A Kalman Filter-based Dynamic Model for Bus Travel Time Prediction4 cited

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