Nanjing accelerates the creation of a smart city

Nanjing is accelerating its efforts to build a smart city, with the first phase of the Nanjing Smart Public Transportation System now officially launched. This project includes one main bidding section, labeled A1, and covers a wide range of tasks such as software development (including overall system integration), interior decoration (including cabling work), procurement of terminal equipment for pilot projects, and "Qingao" passenger transportation support. It also involves the purchase of regional coordination and dispatch center network equipment, multimedia tools, and office and living furniture. The total investment in the intelligent public transportation system is approximately 150 million yuan, with the first phase costing 83.5 million yuan. The project is expected to be completed by the end of next June. Once fully implemented, the system will include a data center, a government emergency command and supervision system, an enterprise safety production and operation dispatch system, and an intelligent public platform. It will support 35,000 vehicle dispatch terminals, 35,000 electronic monitoring devices, 1,000 electronic bus stop signs, 200 station units, and 500 mid-route monitoring terminals, enabling millions of citizens to access real-time information through various online channels. Traffic safety, congestion, and pollution are three major challenges facing global transportation today, with traffic safety being the most critical issue. By applying intelligent transportation technologies, road management can be significantly improved, potentially reducing annual traffic accident deaths by over 30% and boosting transportation efficiency by more than 50%. As a result, many developed countries have invested heavily in research and large-scale trials of intelligent transportation systems. These systems are now moving from testing phases to full-scale implementation, and they are set to become the dominant model for transportation in the 21st century. Such systems can increase the usage efficiency of existing roads by 15% to 30%. With continuous advancements in sensor technology, communication systems, GIS (Geographic Information Systems), 3S (remote sensing, GIS, GPS), and computer science, traffic information collection has evolved from manual methods to multi-source, integrated systems. Research into traffic information processing has also deepened, with techniques like statistical analysis, artificial intelligence, data fusion, and parallel computing increasingly applied. These innovations have led to more efficient and user-friendly traffic management solutions, better meeting the needs of ITS administrators and users alike.

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