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The transportation domain is advancing in applying Artificial Intelligence (AI) in critical activities like self-driving vehicles. Here, the dependability and protection of an AI system will be under question from the common public. The chief challenges in the transportation industry like capacity issues, increasing pollution, and washed out energy are offering plentiful opportunities for AI innovation along with the ROI it can generate for companies behind it.

Investment in AI-driven Technologies

Presently, there is a noteworthy investment in the wide-reaching automotive industry, spotlighting on Artificial Intelligence to optimize the self-driving technology. Many companies are targeting for mass manufacturing of higher levels of vehicles working with autonomous technologies. At the similar time, new business players are asserting innovation with a primary role of transforming automotive market. Uber is working on robot-taxis; Tesla is getting better its Autopilot system as well as Google is focusing on the development of autonomous cars through its subsidiary Waymo.

Autonomous vehicles, self-managed fleets, smarter containers, driver-less cars and smart cities, are just some examples of the actuality to come for the transformed transportation industry.

Present and Upcoming AI-driven Business Applications

Transportation Systems

Transportation-as-a-Service will empower users to swiftly set up their journeys using several means of transportation, pay and run everything through a smartphone and many other connected devices. We will explore examples of applications of AI in the transportation systems.

  • Autonomous Trucks

The big-scale non-uniformity in city infrastructures, traffic and road surfaces as well as weather conditions make AI applications in autonomous trucks better for on-time delivery of goods and people.

  • Olli by Local Motors

Olli is a cognitive and a self-driving electric shuttle built by an American company Local Motors. The company is persistent on lower volume of manufacturing of open-source vehicle designs, utilizing numerous micro-factories.

Smart Cities

The AI-driven transformation will also impact the expansion and growth of cities. For example, the new era of cost-effective, swifter and secure transportation with autonomous vehicles, might prompt a de-urbanization trend in particular if you think about that the time spent in autonomous vehicles can be completely productive with the abilities of an up-to-the-minute office.

Traffic Management Operations

AI solutions are used in applications like prediction as well as the discovery of traffic accident and conditions by turning traffic sensors into smart agents utilizing cameras.

Conclusion

We are in an era where AI-powered Transportation is impacting the industry and the marketplaces. Technostacks is one of the most rapidly growing IT Solutions Company in India. We offer all-inclusive software solutions to meet the client needs empowered by superior technology services.

Written By : technostacks
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