Core Insights - The article highlights the innovative applications of artificial intelligence in enhancing transportation systems, specifically through the work of two postdoctoral researchers in Hangzhou, Chen Yong from Geely Holding and Jiao Yangbo from Yugu Technology [4][5]. Group 1: Geely Holding's Innovations - Chen Yong has developed a complex simulation environment that mimics real-world traffic conditions to rigorously test and improve advanced driver-assistance systems (ADAS) before their market launch [6][7]. - The simulation includes various driving behaviors and environmental conditions, allowing for the collection of extensive data that enhances the safety and efficiency of the ADAS [7]. - This technology reduces the need for real-world testing by approximately 30% and increases data collection efficiency by 500 times, enabling the simulation of 300 different scenarios, including rare and dangerous situations [7]. Group 2: Yugu Technology's Contributions - Jiao Yangbo has created the "Chuqidai Model," which utilizes data from millions of delivery riders to optimize routes for electric two-wheelers, addressing common challenges faced by riders in urban environments [9][10]. - The model acts as a "digital mentor," leveraging historical performance data and real-time information to generate optimal delivery paths, resulting in a 5% reduction in delivery distance and a 30% increase in routing efficiency for new riders [10]. - The implementation of this technology has the potential to significantly reduce carbon emissions, with estimates suggesting a reduction of 0.04 to 0.06 kilograms per rider per day, translating to a nationwide annual reduction of several tens of thousands of tons if widely adopted [10].