sales@datacluster.ai This dataset is an extremely challenging set of over 50,000+ original Vehicle images captured and crowdsourced from over 1000+ urban and rural areas, where each image ismanually reviewed and verifiedby computer vision professionals at Datacluster Labs. Dataset Features Dataset s...
EV-volumes is a database of sales statistics, charging infrastructure, batteries, car models, and sales forecasts for plug-in cars.
The dataset link is http://iitlab.bit.edu.cn/mcislab/vehicledb/ In github, it was commented as "nothing can be done, it does not belong to intel" ( paraphrased). So we can close this issue, thanks Translate 0 Kudos Copy link Reply Community...
Additionally, the Spend dataset provides insights into customer income distribution. Specifically, each customer in the dataset is classified into an income class using a proprietary model based on his or her transactions and spending data39. We utilize this data to assess the impact of EVCS ...
Climate Data Online: Dataset Discovery (National Oceanic and Atmospheric Administration, 2021). https://www.ncdc.noaa.gov/cdo-web/datasets. CLIMATE DATA FOR CITIES WORLDWIDE (CLIMATE-DATA.ORG, 2021). https://en.climate-data.org/ Climates for travelers. Information on the climates in the world...
Further, expert opinions and the DEMATEL method were used to prioritize these factors, and their influential weights were incorporated into the dataset for EV sales forecasting. Additionally, multiple machine learning techniques, including ARIMA, XGBoost, Random Forest, and LSTM, were employed to ...
Interesting dataset, yet I see no evidence that all this improvement came entirely from car safety features. My point is that the driving death rate is ALSO inversely correlated with the quality of infrastructure (road, signs,…) and some features of mode...
“On the road, multiple factors are in play, and the dataset coming out of any on-road interactions is a reflection of all these environmental factors happening together; whereas, to discover all of them independent of each other, we simply don’t have the data. This presents a big ...
The map image below showcases the optimal route for visiting all cities in the dataset. It illustrates the sequence of cities to be visited, starting from the chosen starting city and traversing through all other cities, returning to the starting point. Each city is represented by a marker, ...
The driver behaviour groups are identified by clustering drivers from a large dataset of real charging sessions52; each cluster represented a unique type of driver with a pattern of charging across different segments, charging at different times of day and charging with different frequencies. We desi...