What Are The Challenges In Smart Mobility And Big Data?

When we look at the e-mobility industry we often see progress. It’s better than it used to be and we are fortunate to live in this age. However, there’s still a lot to do and there are many challenges ahead. We at Bicle had a look at a few challenges the e-mobility industry faces.

The five biggest data challenges according to the QROWD-project

These five key elements are the biggest challenges for the e-mobility industry, but they also offer improvement. If you can meet these challenges, one might get a very much improved e-mobility industry.

  1. Optimization. Optimization is needed to maximize the efficiency of the industry. This can be done. QROWD says the following about this aspect:  “In such settlements huge volumes of big data are created on a daily basis, and these inform organizations and governments about a wealth of different aspects – from the small to the large. In order for big data to be used effectively to improve smart cities, IT optimization is vital to storing, analyzing, and prioritizing data on a scale that humans simply cannot do manually.”
  2. Integration is a vital part of e-mobility industry. You have the technology and innovations, but it will only improve the overall mobility by implementing those features into our day-to-day lives: “This can range from public transport systems to AI controlled air-flow filtration systems, each requiring unique technology and producing a variety of data outputs. The challenge then is to integrate these systems to ensure easy sharing and understanding”
  3. Analytics. “In order to make improvements based on the data, we must first be able to analyze the outputs of a system. This is a significant challenge due to the scale and volume of data produced, as well as the type of analysis that is needed: data alone is of little value if it cannot be used to inform decisions effectively. “QROWD says. You can have all the data you want, but if you don’t value the data and give it meaning, then you cannot progress with e-mobility.
  4. Prediction. Maybe not the first thing one might think about, but predictions are needed to keep progressing. If you can predict the needs of a certain industry, then you know what to do and keep it sustainable: “Using predictive analytics to understand the bigger picture, as well as the potential interactions between systems, is a valuable way to ensure that the industry is functioning well and is improving the lives of citizens.”
  5. The last aspect is mobility. We have spoken about e-mobility, but this concerns the smart mobility: “The technology and infrastructure to run smart transport and systems seek to allow easy transport for citizens, and to save time and money.” It’s not only important that you have access to e-mobility, but also make it smarter. More efficient. That’s key to the success of e-mobility as a whole.


As always, we would love to know your thoughts on this. What in your eyes, is the biggest challenge we as an industry face regarding e-mobility? We at Bicle would love to know what you think about this. Let us know in the comments down below!