Transportation

Car-hailing order data are a rich source to study the human mobility patterns, which could contribute to transporation planning and policy-making. In general, a orginal car-hailing order record includes information such as origin, destination, pick-up time, drop-off time, and travel distance. Beijing car-hailing order dataset stored the discretized order data at a traffic analysis zone(TAZ) scale, including the dataset for training and test. 

 

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we extract human trips from Call Records Detail data. Combining traffic analysis zone dataset, we map each trip record to the zones with the same origin zones and destination zones. After  this, we can obtain this dataset. This dataset stores the hourly number of departure and arrival trips in each traffic analysis zone.

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These datasets include the results from the comparison of different traffic-free path planning strategies presented in the work entitled "A primitive comparison for traffic-free path planning",  Antonio Artuñedo, Jorge Godoy, Jorge Villagra. https://doi.org/10.1109/ACCESS.2018.2839884

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Recognition of human activities is one of the most promising research areas in artificial intelligence. This has come along with the technological advancement in sensing technologies as well as the high demand for applications that are mobile, context-aware, and real-time. We have used a smart watch (Apple iWatch) to collect sensory data for 14 ADL activities (Activities of Daily Living). 

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