An example of that includes transforming the traffic sensors on the road environmental-compatibility of transportation systems. Many researchers have demonstrated the advantages of AI in transport. transportation system; therefore, AI methods can be presented as a smart solution for such complex. AI researchers, especially in the 1950s and 1960s, often adopted lofty goals for the field such as the development of general-purpose problem solvers. artificial intelligence in transportation: a conversation transformational technologies: a state government perspective delivering the benefits of self-driving technology safely, quickly, and broadly stakeholder engagement data . As transportation researches and professionals, however, our objective in researching AI applications to transportation is much more modest. According to Forbes Insight research, 65% of the industry leaders believe that logistics, transportation, and supply chain have ushered in the era of “profound transformation.”. How AI can help transportation: Transportation problems arise when system behavior is too difficult to model according to a predictable pattern, affected by things like traffic, human errors, or accidents. Advanced Public Transportation System, APTS APTS applies the technology of ATMS, ATIS and AVCSS in public transportation in order to improve the quality of service, and increase efficiency and the number of people who take public transportation. A good example of supply chain robotics is the work of startup Fizyr.The Dutch deep tech company is in the business of automating logistics globally and putting robots to work. Sustainability 2019, 11, 189 3 of 24 systems that can’t be managed using traditional methods. 4. With its vital role in the technology industry, artificial intelligence (AI) simulates human intelligence processes using machines and computer systems to acquire information, reach conclusions and solve problems. First, what is Artificial Intelligence? Transportation is beginning to rely more heavily on IoT. The technology can reroute trucks to a different distribution center if weather strikes the original distribution center, using information from past disruptions to adapt to changing circumstances. Any company working within the industry will soon learn—if they haven’t already—that incorporating IoT into their business is the best way to beat the competition and future-proof the company. The AI trend in eCommerce shipping is on a rise. Fizyr incorporates their deep learning algorithms into robotics and brings autonomous decision-making to processes that involve identifying, analyzing, counting, picking and manipulating goods. AI technologies in logistics are not a luxury but a necessity for organizations to achieve and maintain their competitive edge. In such cases, the unpredictability can be aided by AI. AI can be trained to learn from contingency plans that can guarantee corrective action in the future in the case of an emergency or a disruption. 5. C3.ai is a leading enterprise AI software provider for building enterprise-scale AI applications and accelerating digital transformation. The syste m mainly includes automatic vehicle monitoring, VPS, computer scheduling and E-tickets. The installation of operational systems and processors in transportation vehicles have also allowed software applications and artificial intelligence systems to be installed. The logistics industry is moving towards artificial intelligence driven supply chain management system where robots will be responsible for managing warehouses, packaging, shipping, and product deliveries. AI uses observed data to make or even predict decisions appropriately. series introduction:transportation in the age of . The applications run far beyond the ones listed above. 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