关键词: 公共交通系统；智能网联；案例研究；跨学科协同

Abstract: With the continuous acceleration of urbanization, urban public transportation systems are facing multiple pressures, including increasing passenger flow, complex operational scheduling, and inefficient resource allocation, making traditional development models inadequate for the needs of new smart city construction. This paper, grounded in the core development trends of the automotive industry"intelligentization, connectivity, and sharing", expands on the five-dimensional synergy of "people, vehicles, roads, stations, and cloud". It closely examines key directions such as autonomous driving applications, smart service upgrades, and shared ecosystem development to explore transformation strategies for public transportation. Through case study methods, the paper integrates platform operation data and user behavior data, compares technical selections, application scenarios, and performance outcomes across different regions, and quantifies data to validate the feasibility of the "five-dimensional expansion" model. This approach promotes deep integration between the automotive industry and public transportation systems, breaking the constraints of traditional isolated operations, delayed scheduling, and supply-demand mismatches in public transportation. It drives the industry from "passively responding to demand" to "proactively optimizing services" while fostering interdisciplinary collaborative research and development, provide theoretical references for building an efficient, green, and intelligent smart bus system.

Key words: public transportation systems; intelligent connected; case study; interdisciplinary collaboration