Study on a New Mobility Pattern Based on Autonomous Road Transportation System

In the context of global carbon peaking and carbon neutrality, reducing transportation carbon emissions and increasing the proportion of green and low-carbon transportation modes are common goals pursued by all cities. To achieve this goal, transforming the travel mode structure from car oriented to public transport oriented is the most critical and difficult task. As new technologies develop, such as autonomous driving and Internet of Vehicles, the Autonomous Road Traffic System will provide the conditions to solve this problem. Based on the case of Chinese cities, this paper discusses the current dilemmas in the transformation of urban transportation travel structure, analyzes the changes of the relationship between travelers, vehicles, roads, and services in the Autonomous Road Traffic System. On this basis, the traveler-centered optimization goals of the transportation system are proposed, a new multi-level autonomous public transport-oriented mobility pattern is constructed, and its effectiveness and feasibility are presented.