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?山东省交通运输厅:全面推动人工智能技术在交通运输领域的深度融合与应用
Jing Ji Guan Cha Bao· 2025-09-12 04:48
Core Viewpoint - The Shandong Provincial Department of Transportation has issued the "Artificial Intelligence + Transportation" Innovation Application Action Plan, aiming to deeply integrate and apply artificial intelligence technology in the transportation sector, focusing on eight key tasks including smart highways, smart airports, and smart port and shipping applications [1] Group 1: Smart Highways - The plan emphasizes enhancing road network operation monitoring through artificial intelligence, improving traffic flow dynamic monitoring, and intelligent identification of abnormal events to support congestion cause analysis, rapid traffic accident location, and emergency resource dispatch demand forecasting [1] Group 2: Smart Airports - The plan supports the advancement of smart airport construction through the application of biometric recognition and intelligent security check technologies for "seamless passage," promoting self-service options such as self-check-in, self-baggage drop, and self-security checks [1] - It also aims to advance low-altitude integrated infrastructure construction and expand the application of unmanned aerial vehicles in multiple scenarios, leveraging smart technology to create aviation-led comprehensive passenger transport hubs [1]
快递服务全程时限同比缩短四个多小时 人工智能+,“加”出新速度(新视点)
Ren Min Ri Bao· 2025-06-10 21:54
Group 1 - The integration of artificial intelligence (AI) in logistics has significantly improved resource allocation and operational efficiency, leading to a reduction in transportation and sorting costs by 12.8% and 10% respectively for Zhongtong Express in Q1 [1] - The average delivery time for express services has decreased to 54.34 hours, a reduction of 4.35 hours year-on-year, while customer satisfaction scores have increased to 84.8, up by 1.2 points [1] - The continuous enhancement of technology innovation, particularly in AI, is crucial for the rapid and efficient development of the Chinese express delivery industry [1] Group 2 - AI technology is widely applied across various logistics processes including collection, sorting, transportation, delivery, warehousing, customer service, and management, significantly enhancing operational efficiency at all levels of the logistics system [2] - The introduction of smart sorting, security, and warehousing technologies has improved processing efficiency at county-level distribution centers, with some centers achieving a processing capacity of 35,000 packages per hour [2] - The cold chain logistics sector is becoming more sophisticated, utilizing digital tools for temperature control throughout the delivery process, which is essential for maintaining the quality of perishable goods [2] Group 3 - Technologies such as drones and unmanned vehicles are being scaled for use in last-mile delivery, with significant deployments already in place, including over a thousand unmanned vehicles covering more than 180 cities [3] - The postal and express delivery industry is recognized as a key area for AI application due to its rich application scenarios and vast data resources, prompting the issuance of national standards to guide industry upgrades [3] - Future initiatives will focus on the integration of AI in postal services, including the promotion of drones, unmanned vehicles, and smart cloud warehouses for large-scale application [3]