Artificial Intelligence in the Transportation Industry Research Paper Transportation

Transportation, the business of moving goods and people from one location to another, has undergone several studies, research, experiments, and modifications to get to where it is now. In the year 1787, the steamboat became one of the most significant milestones in the history of transportation. Previously, people had to rely on animal-drawn carts to go about. Following that, key achievements in the transportation business included the introduction of bicycles in the early nineteenth century, automobiles in the 1890s, railroads in the nineteenth century, and airplanes in the twentieth century (Lǎzǎroiu et al., 2020). The transportation industry has progressed to the point where vehicles can navigate and move without the need for human intervention. The industry has benefited from technological breakthroughs in its quest for innovation and evolution. Artificial intelligence (AI) is one such cutting-edge technology that has benefited the industry. Leveraging AI in transportation helps the industry improve passenger safety, reduce traffic congestion and accidents, reduce carbon emissions, and lower overall financial costs.

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AI has long since moved beyond its theoretical presence in research labs to become prevalent in people’s daily lives. And, for the most part, technology has succeeded in its objectives. In a nutshell, AI is a technology that encompasses machines with human intelligence (Verganti, Vendraminelli, & Iansiti, 2020). Machines with AI skills may imitate people, automate manual jobs, and learn on the fly like humans do. With the introduction of automation, repetitive and time-consuming jobs fall under the purview of AI. Furthermore, according to Verganti et al. (2020), AI-powered systems exhibit human intelligence and learn over time, implying that these machines will eventually be able to perform critical-thinking tasks and make decisions on their own. Businesses in the transport industry are making considerable investments to boost revenue production and remain ahead of their competition, recognizing the exceptional potential of Artificial intelligence.

Self-Driving Vehicles

Autonomous cars are one of the most innovative uses of AI innovation. These vehicles, which were previously only in science fiction, are now a practical reality. Although some people were suspicious of this technology during its early phases, autonomous cars have now entered the transportation industry. In Tokyo, self-driving taxis have already begun to operate (Yaqoob et al., 2019). However, for safety reasons, the driver now sits in the car to take control of the cab in the event of an emergency. According to the manufacturers of this driverless taxi, the technology will result in lower taxi service costs, thus increasing public transit options in rural places.

Similarly, the logistics industry in the United States is adopting autonomous trucks in order to gain several benefits. According to the McKinsey Global Institute, vehicles move 65 percent of products internationally (Lǎzǎroiu et al., 2019). With the introduction of self-driving trucks, maintenance and administration costs will be reduced by around 45 percent (Lǎzǎroiu et al., 2019). For the time being, most corporations are still undertaking pilot programs to make self-driving vehicles faultless and safe for passengers. As this technology advances, self-driving vehicles will acquire widespread acceptance and become commonplace in the consumer market.

Traffic Management

Another issue that individuals confront on a daily basis is traffic congestion. AI is now poised to fix this problem as well. Sensors and cameras placed on the road capture a massive quantity of traffic data. This data is then transferred to the cloud, where it will be analyzed and traffic patterns revealed using big data analytics and an Artificial Intelligence-powered system (Javaid et al., 2018). Data processing can provide valuable insights, such as traffic projections. Important information such as traffic forecasts, accidents, and road closures can be delivered to commuters. Furthermore, users can be alerted of the shortest path to their destination, allowing them to travel without having to deal with traffic (Abduljabbar et al., 2019). AI may thus be used to minimize undesired traffic, enhance road safety, and decrease wait time.

Delay Predictions

Flight delays are another major issue confronting air travel today. According to a study undertaken by experts at the University of California, Berkeley, the estimated cost of aircraft delays in the United States is 39 billion dollars (Sun et al., 2020). Flight delays, in addition to financial loss, have a detrimental influence on passengers’ travel expe