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Updating origin–destination matrices with aggregated data of GPS traces

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References

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2013Understanding monthly variability in human activity spaces: A twelve-month study using mobile phone call detail records247 cited

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2006Dynamic Origin–Destination Demand Estimation Using Automatic Vehicle Identification Data203 cited

2004Tracking survey for individual travel behaviour using mobile communication instruments196 cited

Cited by

2019Measuring spatio-temporal accessibility to emergency medical services through big GPS data129 cited
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2020New and emerging data forms in transportation planning and policy: Opportunities and challenges for “Track and Trace” data85 cited
2022Origin-destination inference in public transportation systems: A comprehensive review59 cited
2019Combining ITS and optimization in public transportation planning: state of the art and future research paths59 cited
2018Understanding Urban Human Mobility through Crowdsensed Data58 cited
2022The impact of new metro on travel behavior: Panel analysis using mobile phone data51 cited
2021Modeling the effect of sensor failure on the location of counting sensors for origin-destination (OD) estimation44 cited
2020Exploring strengths and weaknesses of mobility inference from mobile phone data vs. travel surveys43 cited
2017Open PFLOW: Creation and evaluation of an open dataset for typical people mass movement in urban areas40 cited
2019A data driven method for OD matrix estimation40 cited
2021Sensing and Forecasting Crowd Distribution in Smart Cities: Potentials and Approaches23 cited
2019Estimating the geographic distribution of originating air travel demand using a bi-level optimization model21 cited
2024Origin–destination matrix estimation for public transport: A multi-modal weighted graph approach18 cited
2021The value of additional data for public transport origin–destination matrix estimation18 cited
2023Understanding changes in travel patterns during the COVID-19 outbreak in the three major metropolitan areas of Japan18 cited