Intel Corporation
Smart Automated Fare Collection System for Railway Operators
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End-To-End Intelligent Systems Can Streamline Backend Operations and Revenue Management While Enhancing Passenger Experience and System Efficiency
The global rail market is booming, as densely populated cities seek more efficient transportation strategies to respond to population growth, safety and security concerns, and shrinking operating budgets. Meanwhile, constraints to existing rail networks make accommodation of next-gen passenger and shipping demands more difficult. New, innovative railway operations approaches are needed.
The rail industry suffered from decreased ridership during the global pandemic. Rail operators find themselves needing to grow ridership in an uncertain landscape. Projected increases in demand far outpace infrastructure expansion in the railway passenger network, and the impact of new expectations around remote work and commuting remains unclear.
The rising use of smartphones and contactless payment systems during the pandemic coupled with pressure from health authorities is pushing rail operators to seek new ways to enhance passenger experience. Cities also want to take advantage of new technologies to promote safe passenger environments. Smart cities are turning to Artificial Intelligence (AI) to provide real-time analytics to promote safe environments, and help increase operational efficiencies – all in pursuit of capturing better returns on investment.
Intel-powered smart railway solutions combine integrated hardware and software to consolidate different use case applications at the edge of networks. When rail operators use Intel-based automated passenger experience systems, they can help create safer, more efficient operations and better passenger experiences.
Solution
Intel and its global ecosystem of partners have developed an Automated Fare Collection (AFC) system. This system offers a new end-to-end passenger experience for rail transportation. AFC consists of ticket vending machines, passenger detection devices, gate access machines, and other self-service stations. AFC also uses a combination of sensors, Artificial Intelligence (AI), Machine Learning (ML), and advanced software algorithm processing at network edges. These advanced capabilities bring ultra fast processing and insights to rail operators.
