The odometric model is simulated herein. We described the trajectory of such one odometric model, with the delta of the heading angle given as one parameter of the simulation. The iterations show that the trajectory is well in the continuity of the variations of the heading angle. Moreover the distance in X and in Y are shown for the vehicle to be driven in the trajectory of the odometric model.

Instructions: 

Please take the odometric model in the context.

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The rawdata.csv profile indicates the traffic analysis based mobility patterns. 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.

The POI-importance.csv profile indicates the term frequency-inverse doument frequency(TF-IDF) of each category of poi the in each traffic analysis zone.

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226 Views

This dataset used in the experiment of paper "Bus Ridesharing Scheduling Problem". This is a real-world bus ridesharing scheduling problem of Chengdu city in China, which includes 10 depots, 2,000 trips.

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This is the dataset used in the experiment of paper "Bus Pooling: A Large-Scale Bus Ridesharing Service". The dataset contains 60,822,634 trajectory data from 11,922 Shanghai taxis from one day (Apr 1, 2018). The 100 groups of coordinate sets containing three coordinates as experimental samples are used to compare the effectiveness and efficiency of location-allocation algorithms.

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326 Views

The "Dynamic Scenes" Dataset is provided for testing visual loop closure detection algorithms in highly dynamic scenes. It has a strong background in some crucial applications such as autonomous driving systems.

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441 Views

This dataset corresponds to a paper published in IEE Transactions on Power Systems entitled: "High-Speed 2x25kV Traction System Model and Solver for Extensive Network Simulations"

 

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577 Views

when iter time =50 ,we  can obtain this picture

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This data is the real-time Estimated time of departure in the airspace of China in Feb 10 2019.  

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The present dataset is based on implementing of 3 approaches  with respect to the acquisition of driver data. The same one that we propose to use a sensor of concentration of alcohol in the environment (physiological), a sensor that measure the temperature of the defined points on driver’s face (biological) and another one that allows to identify and recognize the thickness of the pupil (visual characteristics).

 

Instructions: 

The present dataset is based on implementing 3 approaches with respect to the acquisition of driver data. The same one that we propose to use a sensor of the concentration of alcohol in the environment (physiological), a sensor that measures the temperature of the defined points on driver’s face (biological) and another one that allows to identify and recognize the thickness of the pupil (visual characteristics).

 

 Number of Instances: 390 (217 for no alcohol presence

                                          173 for alcohol presence with 

                                                   different concentration)

 

 Number of Attributes: 5 numeric, predictive attributes and the class

 

 Attribute Information:

   1. acohol concentration in the car environment in ml/L

   2. car environment temperature in degrees Celsius

   3. face temperature min in degrees Celsius

   4. face temperature max in degrees Celsius

   5. pupil ratio

   6. class: 

       1 No acohol presence

       2 acohol presence

 

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1020 Views

This work quantifies water contamination in jet fuel (Jet A-1), using silica-based Bragg gratings. The optical sensor geometry exposes the evanescent optical field of a guided mode to enable refractometery. Quantitative analysis is made in addition to the observation of spectral features consistent with emulsification of water droplets and Stokes’ settling. Measurements are observed for cooling and heating cycles between ranges of 22oC and -60oC. The maximum spectral sensitivity for water contamination was 2.4 pm/ppm-v with a resolution of < 5 ppm-v.

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