Transport in developing or emerging markets often faces severe challenges due to growing populations, urbanization, poor infrastructure, and rising prosperity in some regions, increasing cargo volumes, vehicle traffic, and pollution. Artificial intelligence (AI) offers new solutions to these challenges by making market entry more comfortable and allowing countries/geographies to reach underserved populations, creating market opportunities and private sector investment opportunities associated with them.

AI is changing the transport sector completely from helping cars, trains, ships, and airplanes function autonomously, making traffic flows smoother is already applied in numerous transport grounds. Beyond making consumers' lives easier, it can help make all transport modes safer, smarter, cleaner, and more efficient. AI-led autonomous transport could reduce the human errors involved in many traffic accidents and traffic congestions. However, these opportunities come with real challenges, including unintended consequences and misuses such as cyber-attacks and biased transport decisions. There are also consequences for employment and ethical questions regarding liability for AI decisions in humans' place.

Considering the geographies, the EU is taking initiation to adapt its regulatory framework to new developments to supports innovations while at the same time ensuring respect for fundamental rights and values. The measures already taken include general strategies on artificial intelligence (AI) & machine learning (ML) and rules that keep the technologies enabling its transportation section application. Besides, the EU provides financial support, in particular for research.

Read More :- https://www.pukkapartners.com/insight/artificial-intelligence-ai-enabled-transportation-disrupting-and-optimizing-the-future-mobility

COVID-19 Impact on Transportation Sector

The COVID-19 pandemic has strongly hit global transportation sector. With ridership significantly down, operators in developing cities will have to face difficult future viability questions. The appropriate response must plan for contingencies, but never forget the value of shared transit in the process of economic development.

Applications of artificial intelligence (AI), intelligent transportation system (ITS), and internet of things (IoT) can tackle commuter safety issues of the transportation system. It can also reduce human-to-human transmission and prevent cluster outbreaks in public transportation systems by monitoring adherence to COVID-specific norms while improving efficiency and ease of monitoring.

Conclusion

AI holds the promise of dramatically increasing productivity and efficiency in several sectors, including transportation. AI is already helping to make transportation safer, efficient, cleaner, and reliable. Some smart applications include drones for quick life-saving medical deliveries, smart traffic systems that reduce congestion & emissions, and driverless vehicles. With great potential to increase efficiency and sustainability, among other benefits, comes a host of socioeconomic, institutional, and political challenges that must be addressed to ensure that countries and their citizens can all harness AI's power for economic growth and shared prosperity in the global transportation sector.



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