Transportation
This dataset contains road networks used in experiments for DRL-Router, including Sioux Falls, Anaheim, Winnipeg and Barcelona.
- Categories:
199 Views
The dataset collects the results of a survey of 325 respondents. Each respondent is asked to design a route from an origin to a destination taking into account the following considerations:
- The route should avoid crowds to avoid getting COVID-19.
- They should take into account the context provided: day, time, month, holiday period.
A total of 10 scenarios located in the city of Ciudad Real were designed.
- Categories:
521 Views
Another raw ADS-B signal dataset with labels, the dataset is captured using a BladeRF2 SDR receiver @ 1090MHz with a sample rate of 10MHz
- Categories:
2753 Views
This dataset represents a subnetwork of public transportation in the city of Johannesburg. It contains counting of bus occupation of three significant routes as well as GPS location of Bus stations.
- Categories:
367 Views
This dataset is in support of my research paper 'Design and Analysis of 2kW Residential PEM Fuel Cell Inverter '.
Preprint :
- Categories:
3556 Views
This dataset is in support of my 2 research papers ' '.
Preprint :
- Part I :
- Part II :
Related Claim : Novel ß Non-Linear Theory, Novel ß Inverter and Novel ß PFC in Patent 'Novel ß 10-Axis Grid Compatible Multi-Controller'
- Categories:
1591 Views
Both passenger demand and service supply are among the most important factors that determine the performance of urban rail transit system. It is not easy to find out optimal solution for the match between the passenger demand and service supply with traditional methods, due to the complexity of the combinatorial intelligent supply — demand matching problem. In order to get the comprehensively optimal matching degree, this paper transforms the multi-criteria problem into the distributed artificial intelligence optimization by using multi-agent dynamic interaction technique.
- Categories:
311 Views
This dataset is released with our research paper titled “Scene-graph Augmented Data-driven Risk Assessment of Autonomous Vehicle Decisions” (https://arxiv.org/abs/2009.06435). In this paper, we propose a novel data-driven approach that uses scene-graphs as intermediate representations for modeling the subjective risk of driving maneuvers. Our approach includes a Multi-Relation Graph Convolution Network, a Long-Short Term Memory Network, and attention layers.
- Categories:
2294 Views
<p>This is <span style="font-family: Verdana, Arial, Helvetica, sans-serif;">Charlotte street netowrk data.</span></p>
- Categories:
160 Views
This dataset contains road network information of Chengdu with travel time data during four time slots: weekday peak hour, weekday off-peak hour, weekend peak hour and weekend off-peak hour.
- Categories:
726 Views