The global landscape is undergoing a profound transformation, and it’s not solely driven by advancements in generative AI. Within the realm of transportation, a new frontier is emerging beyond the realm of smart cars that traverse the skies. The next big leap is in the development of smart cars that can seamlessly transition from land
The innovation and advancement of technology are not solely for the betterment of human life. Let’s consider unmanned aerial vehicles (UAVs), or more commonly known as drones, as an example. While this innovation can be used for research purposes and landscape studies, it is also utilized in the military as a surveillance device for spying
While the world has been supplied with the concept of coexistence with AI and Robotics, some countries still have a massive workforce that is not ready for it yet. Long distance truckers shortage has been a well known matter, which makes it very high paid for those who are willing to perform long distance truck
With Tessa leading the electric car market, more tech giants will join the smart car revolution faster than expected. As you can read from the various news. The pressure is on the 138-year-old global auto industry, how many will be left over while the world transitions into smart cars. You can recall cell phones to
Self driving cars to eliminate the driver for good, it has become a more and more popular view on the subject matter. In particular for those sectors involving long distance transport, and if we are now reaching electric vehicles (EV) and Self driving cars or autonomous cars, it should be adopted for good. It helps
Transportation industry, from the very beginning, we had the taxi take care for the on call or on demand point to point transportation handling, beside established bus and train service provider. It start to change when “poll car” make it become mobile application and mass deployment and become today ride sharing application. It make the
Cognitive Predictive Maintenance (CPdM) in Transportation is focusing on targeted servicing and monitoring. Against this background, transportation companies are looking for new and improved ways to reduce downtime and make the best possible use of available resources and also to reduce cost. Below is the reason why a Transport industrial need to use Cognitive Predictive
Right now the transportation technology rapidly advances. Our journeys from one places to another places are starting to look a whole lot different. The future is increasingly bright for innovation in transportation technology, as we find ever faster and ever smarter solutions for paring down our flights, drives, and rides. Here are 3 emerging technologies