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• W2918458045 abstract "Providing efficient, cost-effective, sustainable transportation networks and services is a major challenge for cities around the world not only for individual cities, but for connectivity between cities. High quality transportation services, notably well-designed transit hubs within comprehensive networks are fundamental prerequisites for effective cities and spur economic, social and cultural inclusion, development and growth. Transportation strategies must be at the heart of smart city strategies. The melding of machine learning, simulations, predictive analytics and design create capacity and connectivity that will help policy and makers gain insight into complex decision-making processes and support evidence-based decision making. Solving transportation and transit challenges requires integrating transdisciplinary knowledge, including computer science, engineering into city planning." @default.
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• W2918458045 date "2018-10-29" @default.
• W2918458045 modified "2023-09-26" @default.
• W2918458045 title "iCity: big data and visualization urban transportation strategies" @default.
• W2918458045 hasPublicationYear "2018" @default.
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