自动驾驶场景下的城市街道分类与规划设计策略

Classification and Planning and Design Strategies of Urban Streets in the Autonomous Driving Scenario

自动驾驶正在走进人们的生活,随着越来越多的商业化应用场景落地,自动驾驶将促使城市出行模式发生深刻变化,城市街道的空间利用和组织模式也将随之改变。作为自动驾驶主要载体的城市道路,其与自动驾驶车辆的适应程度或匹配关系至关重要,但相关研究却相对较少。对未来自动驾驶时代的城市道路规划设计进行探索性研究,在新的出行模式下,提出新的街道等级分类,并对街道空间构成、复合功能设施带、车道宽度、路缘石转弯半径、人行过街设施、道路交通组织和管理等方面的设计提出优化策略,为城市街道更好地适应自动驾驶时代提供相应的技术和管理支撑。

Autonomous driving has emerged in daily life with increasing application in commercial scenarios,which will prompt profound changes in urban travel,as well as spatial organization of streets.Urban roads are the basic carrier of autopilot vehicles,and their matching degree or relationship is crucial yet has been rarely studied.An exploratory research on street planning and design for autopilot vehicles is carried out in this paper,putting forward streets classification in the new travelling context,and design optimization strategies such as street space composition,composite functional facilities belt,lane width,turning radius of curbs,pedestrian crossing facilities,road traffic organization and management,etc.It helps city streets better adapt to the arrival of the autonomous driving era with corresponding technical and management preparations.