Transit OD matrix estimation using smartcard data: Recent developments and future research challenges
In public transport, smartcards are primarily used for automatic fare collection purpose,
which in turn generate massive data. During the last two decades, a tremendous amount of …
which in turn generate massive data. During the last two decades, a tremendous amount of …
Analytics of location-based big data for smart cities: Opportunities, challenges, and future directions
The growing ubiquity of location/activity sensing technologies and location-based services
(LBS) has led to a large volume and variety of location-based big data (LocBigData), such …
(LBS) has led to a large volume and variety of location-based big data (LocBigData), such …
[HTML][HTML] Traffic state estimation of urban road networks by multi-source data fusion: Review and new insights
Accurate traffic state (ie, flow, speed, density, etc.) on an urban road network is important
information for urban traffic control and management strategies. However, due to the …
information for urban traffic control and management strategies. However, due to the …
New and emerging data forms in transportation planning and policy: Opportunities and challenges for “Track and Trace” data
G Harrison, SM Grant-Muller, FC Hodgson - Transportation Research Part …, 2020 - Elsevier
High quality, reliable data and robust models are central to the development and appraisal
of transportation planning and policy. Although conventional data may offer good 'content', it …
of transportation planning and policy. Although conventional data may offer good 'content', it …
[HTML][HTML] Emerging big data sources for public transport planning: A systematic review on current state of art and future research directions
KE Zannat, CF Choudhury - Journal of the Indian Institute of Science, 2019 - Springer
The rapid advancement of information and communication technology has brought a
revolution in the domain of public transport (PT) planning alongside other areas of transport …
revolution in the domain of public transport (PT) planning alongside other areas of transport …
[HTML][HTML] Review and evaluation of methods in transport mode detection based on GPS tracking data
Mobility data, based on global positioning system (GPS) tracking, have been widely used in
many areas, such as analyzing travel patterns, investigating transport safety and efficiency …
many areas, such as analyzing travel patterns, investigating transport safety and efficiency …
Developing a passive GPS tracking system to study long-term travel behavior
This paper describes development and testing of a passive GPS tracking smartphone
application and corresponding data analysis methodology designed to increase the quality …
application and corresponding data analysis methodology designed to increase the quality …
[HTML][HTML] Passively generated big data for micro-mobility: State-of-the-art and future research directions
The sharp rise in popularity of micro-mobility poses significant challenges in terms of
ensuring its safety, addressing its social impacts, mitigating its environmental effects, and …
ensuring its safety, addressing its social impacts, mitigating its environmental effects, and …
Estimation of trip purposes in public transport during the COVID-19 pandemic: The case of Santiago, Chile
The COVID-19 pandemic strongly affected the mobility of people. Several studies have
quantified these changes, for example, measuring the effectiveness of quarantine measures …
quantified these changes, for example, measuring the effectiveness of quarantine measures …
Coupled application of generative adversarial networks and conventional neural networks for travel mode detection using GPS data
Inferring travel modes of travelers in the city is important to transportation planning and
infrastructure design. Based on the distribution of travel modes, transportation engineers …
infrastructure design. Based on the distribution of travel modes, transportation engineers …