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/ai-enabled-transportation-disrupting-and-optimizing-the-future-mobility


AI Enabled Transportation: Investment Opportunities

E-logistics is one of the most favorable areas for immediate investment opportunities that mainly involve AI applications in the transportation sector. Poor roads, suboptimal truck utilization, unreliable tracking, routing, and a lack of transparency in cargo movement hinder the global market's traditional logistics efficiency. Many new startups have been utilizing technology, including AI, to solve the efficiency and reliability issues that the conventional logistics industry faces, introducing data analytics and optimization to lower costs.

Known as e-logistics companies, the services these startups specialize in intend to fall into three categories:

Transportation data enablers, which provide platform-as-a-service offerings to improve transportation/location services
Long-haul/inter-city transportation, which usually aggregates truckers and shippers to facilitate the movement of goods across cities through a digital platform
Last-mile/intercity transportation, which aggregate local delivery drivers and SMEs/e-commerce companies for last-mile delivery solutions within cities
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