Transportation

The files in this dataset each contain vectors Time, PEDAL, SPEED, ACCEL, VOLTAGE and CURRENT related to an Electric Vehicle travelling on one of four different roads, mostly in urban areas.  Data is obtained from the CAN bus of the vehicle (a Zhidou ZD model ZD2) resampled in order to obtain a single time coordinate and stored in the dataset.

  • Transportation
  • Last Updated On: 
    Mon, 09/09/2019 - 09:12
    414 views

    Vision and lidar are complementary sensors that are incorporated into many applications of intelligent transportation systems. These sensors have been used to great effect in research related to perception, navigation and deep-learning applications. Despite this success, the validation of algorithm robustness has recently been recognised as a major challenge for the massive deployment of these new technologies. It is well known that algorithms and models trained or tested with a particular dataset tend not to generalise well for other scenarios.

  • Transportation
  • Last Updated On: 
    Sun, 08/18/2019 - 23:40
    498 views

    These are experimental results to verify the analytical model described in the manuscript "An Analytical Model of Trilateration Localization Error".

  • Transportation
  • Last Updated On: 
    Fri, 08/02/2019 - 07:37
    128 views

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  • Transportation
  • Last Updated On: 
    Thu, 06/27/2019 - 09:16
    72 views

    This is the data for the odometric model.

  • Transportation
  • Last Updated On: 
    Sun, 06/23/2019 - 05:13
    52 views

    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.

  • Transportation
  • Last Updated On: 
    Thu, 06/06/2019 - 03:05
    132 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.

  • Transportation
  • Last Updated On: 
    Wed, 05/08/2019 - 09:20
    69 views

    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.

  • Transportation
  • Last Updated On: 
    Thu, 05/30/2019 - 07:46
    121 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.

  • Transportation
  • Last Updated On: 
    Fri, 05/03/2019 - 15:06
    203 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"

     

  • Transportation
  • Last Updated On: 
    Mon, 04/08/2019 - 04:06
    449 views

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