Mobility Traces
This dataset presents a set of large-scale Dial-a-Ride Problem (DARP) instances. The instances were created as a standardized set of ridesharing DARP problems for the purpose of benchmarking and comparing different solution methods.
The instances are based on real demand and realistic travel time data from 3 different US cities: Chicago, New York City, and Washington, DC. The instances consist of real travel requests from the selected period, positions of vehicles with their capacities, and realistic shortest travel times between all pairs of locations in each city.
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Mobility VR Gaming: A Dataset of User Movements
This dataset unveils the dynamic movements of VR gamers, capturing the lateral and angular shifts of the VR headset-mounted device (HMD) during immersive gaming sessions. Collected from 40 participants, the data provides a comprehensive understanding of user mobility patterns in VR environments. This valuable resource empowers researchers to refine VR gaming experiences, enhancing immersion and comfort for users.
If you use this dataset in a scientific publication, we would appreciate references to the following paper:
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The trace location in Seoul, South Korea has an area spanning over 2.5 × 1.5 km where there are are more than 30 intersections. A number of simulated vehicles are moving in the road topology. Each vehicle shows following properties for every second:
timestep(simulation) secondsThe time step described by the values within this timestep-element
ididThe id of the vehicle
typeidThe name of the vehicle type
speedm/sThe speed of the vehicle
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