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从数据看成效:鄂尔多斯市康巴什区“车路云一体化”跑出“加速度”

Core Insights - The article highlights the successful implementation of "vehicle-road-cloud integration" in the Kangbashi District of Ordos City, Inner Mongolia, showcasing significant advancements in smart connected vehicles and urban traffic management [1][4]. Group 1: Urban Cloud Control Platform - The Kangbashi District has completed the construction of a cloud control platform, achieving comprehensive perception and intelligent integration of vehicles, roads, pedestrians, environment, and traffic events [1]. - A total of 150 smart intersections have been established, creating a "traffic neural network" that enhances traffic safety and efficiency while optimizing urban governance [1]. Group 2: Scaled Demonstration Applications - The district has developed a "1+N" smart connected vehicle industry layout, allowing for full-time, all-area testing of autonomous vehicles, with 42 vehicles deployed across various scenarios, including public transport and logistics [2]. - Over 200,000 kilometers have been tested, serving 520,000 people and delivering 1.2 million packages [2]. Group 3: Smart Logistics and Mining Applications - A cross-regional smart logistics network is being established, with the formation of a testing mutual recognition alliance between Ordos and Baotou, and the opening of a dedicated testing route for smart connected heavy trucks [3]. - The deployment of 202 smart connected mining trucks has facilitated the transportation of over 160 million tons of coal, enhancing the integration of autonomous and manned vehicles [3]. Group 4: Policy Support for Development - The Ordos City government has implemented policies to support the smart connected vehicle industry, including a mechanism for "one approval, all-area access" and various subsidies for technology innovation and talent development [4]. - Future plans aim to leverage "vehicle-road-cloud integration" to foster more autonomous applications, contributing to the transformation of traditional industries and modernization of urban governance [4].